Weiping Ding

Weiping Ding (M'16-SM'19) received the Ph.D. degree in Computer Science, Nanjing University of Aeronautics and Astronautics (NUAA), Nanjing, China, in 2013. He was a Visiting Scholar at University of Lethbridge(UL), Alberta, Canada, in 2011. He was a Post-Doctoral Fellow / Research Fellow / Visiting Scholar at the Department of Electrical and Computer Engineering, University of Alberta (UA), Alberta, Canada in 2014, at the Brain Research Center, National Chiao Tung University (NCTU), Hsinchu, Taiwan, China from 2014 to 2015, in Hong Kong Polytechnic University (HKPU), Hong Kong, China in 2015, at the Department of Electrical and Computer Engineer, National University of Singapore (NUS), Singapore in 2016, and at Computational Intelligence and Brain Computer Interface (CIBCI) Center, CAI, University of Technology Sydney (UTS), Australia from 2017 to 2018. Now, Dr. Ding was the Founding Chair of IEEE CIS Task Force on Granular Data Mining for Big Data. He is a member of Senior IEEE, IEEE-CIS, ACM, CCAI and Senior CCF. He is a member of Technical Committee on Soft Computing of IEEE SMCS, on Evolving Intelligent Systems of IEEE SMCS, on Granular Computing of IEEE SMCS, and on Data Mining and Big Data Analytics of IEEE CIS, and so on.

• Deep Neural Networks, Data Mining, Machine Learning for Human-Centred Computing
• Fuzzy Theory and System, Rough Set Theory, Granular Computing
• Big Data Optimization and Analysis, Medical Images Analysis
• Co-evolutionary Algorithm, Quantum-inspired Evolutionary Algorithm

• Ph.D, From April 2010 to November 2013, Ph. D in Computer Science and Technology, College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiansu, China.
• M.Sc, From September 2002 to May 2005, M.Sc in Software Engineering, School of Computer Science and Technology, Suzhou University, Suzhou, China.
• B.Sc, From September 1998 to June 2002, B.Sc in Computer Science and Technology, Department of Computer Science and Technology, Nantong University, China.

• Dean of School of Artificial Intelligence and Computer Science, Nantong University, China, from June, 2024.
• The supervisor of Master and Ph.D postgraduate by the Faculty of Data Science at City University of Macau, from May, 2022.
• Full Professor, School of Information Science and Technology, Nantong University, China, From July 2020.
• Deputy Dean of School of Information Science and Technology, Nantong University, China, From January 2019.
• Research Fellow, Visiting Scholar, Computational Intelligence and Brain Computer Interface (CIBCI), Center for Artificial Intelligence, University of Technology Sydney, Australia, From 2017 to 2018.
• Associate Professor, School of Computer Science and Technology, Nantong University, China, From May 2015 to July 2020.
• Post-Doctoral Fellow, Research Fellow, Department of Electrical and Computer Engineer, National University of Singapore (NUS) with Professor Kay Chen TAN, in 2016.
• Post-Doctoral Fellow, Brain Research Center, National Chiao-Tung University (NCTU), Hsinchu, Taiwan, with Professor Chin-Teng (CT) Lin, From 2014 to 2015.
• Post-Doctoral Fellow, Department of Electrical and Computer Engineering, University of Alberta, Alberta, Canada, From January 2014 to May 2014.
• Visiting Scholar, Department of Computer Science, University of Lethbridge, Lethbridge, Alberta, Canada, with Dr. Jackie.Rice, in 2011.

• Senior Member, IEEE Senior Member, IEEE
• Member, IEEE Computational Intelligence Society (IEEE-CIS)
• Senior Member, China Computer Federation (CCF)
• Member, Chinese Association for Artificial Intelligence (CAAI)
• Member, Association for Computing Machinery (ACM)
• Gold Member, Elsevier China Platinum Panel for Computer Science
• Member, IEEE Computer Science (IEEE-CS)
• Member, International Rough Set Society (IRSS)
• Member, International Association of Engineers (IAENG)

• Associate Editor, IEEE Transactions on Neural Networks and Learning Systems (TNNLS) (2021--present) (Q1)
• Associate Editor,IEEE Transactions on Fuzzy Systems (TFS) (2015-2017) (2020--present) (Q1)
• Associate Editor, IEEE Transactions on Intelligent Transportation Systems (TITS) (2022--present) (Q1)
• Associate Editor, IEEE Transactions on Intelligent Vehicles (TIV) (2023--present) (Q1)
• Associate Editor, IEEE Transactions on Artificial Intelligence (2023--present)
• Associate Editor, IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI) (2022--present) (Q1)
• Associate Editor, IEEE/CAA Journal of Automatica Sinica (2021--present) (Q1)
• Editorial Advisory Board Member, Knowledge-Based Systems(KBS) (2018-2021)(Q1)
• Associate Editor, Information Sciences (INS) (2016-present) (Q1)
• Editorial Board, Information Fusion (2019-present) (Q1)
• Editorial Board, Engineering Applications of Artificial Intelligence (2021-present) (Q1)
• Editorial Board, Applied Soft Computing (ASOC) (2019-present) (Q1)
• Associate Editor, Neurocomputing (2021-present) (Q1)
• Advisory Board Member, Data science and Pattern Recognition (2019-present)
• Associate Editor, Swarm and Evolutionary Computation (SWEVO) (2017-present) (Q1) )
• Associate Editor, IEEE Access (2017-present) (Q2)
• Associate Editor, Journal of Intelligent & Fuzzy Systems (JIFS) (2019-present) (Q2)
• Co-Editor-in-Chief, Journal of Artificial Intelligence and Systems (2019-present)
• Co-Editor-in-Chief, Artificial Intelligence Advances (2023-present)

• Founding Chair, Task Force on Granular Data Mining for Big Data, IEEE Computational Intelligence Society
• Member, Task Force on Adaptive and Evolving Fuzzy Systems, IEEE Computational Intelligence Society
• Member, Task Force on Fuzzy and Neural Engineering, IEEE Computational Intelligence Society
• Member, Soft Computing Technical Committee, IEEE Systems, Man, and Cybernetics Society
• Member, Evolving Intelligent Systems Technical Committee, IEEE Systems, Man, and Cybernetics Society
• Member, Granular Computing (GrC) Technical Committee, IEEE Systems, Man, and Cybernetics Society
• Member, Data Mining and Big Data Analytics Technical Committee, IEEE Computational Intelligence Society

• Guest Editor of Special Issue on "Graph Machine Learning" for Pattern Recognitionfrom 2022 to 2023
• Guest Editor of Special Issue on "Deep Learning in Multimodal Medical Imaging for Cancer Detection" for Neural Computing and Applications from 2022 to 2023
• Guest Editor of Special Section on "Developing Resilient Supply Chains in a Post-COVID Pandemic Era: Application of Artificial Intelligent Technologies for Emerging Industry 5.0 " for IEEE Transactions on Industrial Informatics from 2021 to 2022
• Leading Guest Editor of Special Issue on "Recent Advances in Fuzzy Deep Learning for Uncertain Medicine Data " for Information Sciences from 2022 to 2023
• Guest Editor of Special Issue on "Transfer Learning " for Neural Processing Letters from 2021 to 2022
• Guest Editor of Special Issue on "Swarm intelligence for Unmanned Systems " for Swarm and Evolutionary Computation from 2021 to 2022
• Leading Guest Editor of Special Issue on "Fuzzy Systems for Biomedical Science in Healthcare " for Applied Soft Computing from 2020 to 2021.
• Leading Guest Editor of Special Issue on "Advance Machine Learning Fusion Approaches for COVID-19 " for Information Fusion from 2020 to 2021.
• Guest Editor of Special Issue on "Multi-view Learning" for Applied Intelligence from 2021 to 2022
• Special Session on "Feature Extraction and Learning on Image and Text Data" for International Joint Conference on Neural Networks (IJCNN 2021)
• Special Session of 2021 IEEE Congress on Evolutionary Computation (CEC2021) "Computational Intelligence for Big Data Medicine and Healthcare Analysis, " Krakow, Poland, 28 June-1 July, 2021.
• Leading Guest Editor of Special Issue on "Evolutionary Computation Meets Deep Learning " for IEEE Transactions on Evolutionary Computation from 2020 to 2021.
• Special Session, Information Granulation in Data Science and Scalable Computing, IEEE BigData 2020, http://bigdataieee.org/ BigData2020/, December 10-13, 2020, Atlanta, GA, USA.
• Special Session of 2020 IEEE International Conference on Systems, Man and Cybernetics (SMC2020) "Feature Extraction and Learning on Image and Text Data ", in Toronto, Canada during October 11-14, 2020.
• Guest Editor of Special Issue on "Pattern-Driven Mining, Analytics and Prediction for Decision Making " for ACM Transactions on Management Information Systems (ACM TMIS) from 2020 to 2021.
• Leading Guest Editor of Special Issue on "Emerging Computational Intelligence Techniques for Decision Making with Big Data in Uncertain Environments " for IEEE Transactions on Emerging Topics in Computational Intelligence from 2019 to 2020.
• Special session at IEEE WCCI/IJCNN 2020, " Factor space and fuzzy logic based adaptive optimization" for FUZZ-IEEE 2020.
• Leading Guest Editor of Special Section on "Fuzzy Rough Sets for Big Data " for IEEE Transactions on Fuzzy Systems from 2018 to 2019.
• Leading Guest Editor of Special Issue on "Evolutionary Data Mining for Big Data " for Swarm and Evolutionary Computationfrom 2018 to 2019.
• Leading Guest Editor of Special Issue on "Current Trends of Granular Data Mining for Biomedical Data Analysis " for Information Sciences from 2018 to 2019.
• Leading Guest Editor of Special Section on "Data Mining and Granular Computing in Big Data and Knowledge Processing " for IEEE Access in 2018.
• Guest Editor of Special Issue on "Multi-Sensor Information Fusion " for International Journal of Distributed Sensor Networks from 2018 to 2019.

• Program Committee of IJCAI 2021 (the 30th International Joint Conference on Artificial Intelligence), which is held in Aug. 2021, Montreal, Canada.
• The international members of the scientific and technical committee for the first international conference on Computing and Mathematical Sciences (ICCMS 2020) , UCSI University, Jalan Menara Gading, 56000 Cheras, Kuala Lumpur, MALAYSIA
• The 6th International Conference on Computational Intelligence in Data Mining (ICCIDM-2020) on 8th and 9th JUNE 2020. Editor of the Proceedings to be Published by the Springer.
• Co-Organizer of Workshop, Program committee of ICDIS 2020, the 3rd Intl Conf on Data Intelligence and Security (ICDIS 2020), South Padre Island, Texas, USA, June 24 - 26, 2020.
• Co-Organizer of Workshop, 1st IEEE ICDM Workshop on Autonomous Machine Learning (AML 2019) In conjunction with the IEEE International Conference on Data Mining (ICDM 2019), November 8-11, 2019, Beijing, China.
• Program Committee to 2019 CCF Conference on Artificial Intelligence (CCFAI2019).
• Co-Organizer of the special session, Information Granulation in Data Science and Scalable Computing, IEEE BIG DATA 2019, http://cci.drexel.edu/bigdata/bigdata2019/index.html, December 9-12, 2019, Los Angeles, CA, USA.
• Symposium Co-Chairs, 2019 IEEE Symposium on Computational Intelligence and Data Mining (IEEE CIDM), part of the 2019 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2019), Xiamen, China, December 6-9, 2019
• Workshop Chair, the 2nd International Conference on Data Intelligence and Security (ICDIS 2019), South Padre Island (SPI), Texas, USA, June 28-30, 2019.
• International advisory committee/International committee member for the 7-th Joint International Conferences on Swarm, Evolutionary and Memetic Computing Conference (SEMCCO 2019) & Fuzzy And Neural Computing Conference (FANCCO 2019)
• Co-Organizer of the special session on "Evolutionary Computation for Granular Computing ", at the 2019 IEEE Congress on Evolutionary Computation (IEEE CEC 2019), Wellington, New Zealand, June 10-13, 2019.
• Technical Program Committee member of Special Section: Advanced Machine Learning Methods for Big Graph Analytics, in the 2019 International Joint Conference on Neural Networks (IJCNN 2019) in Budapest, Hungary, July 14-19, 2019.
• Session Chairs: The 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC2018) will be held in Miyazaki, Oct. 7-10, Japan. Soft Computing: Data Driven Approach for Bio-medical and Healthcare.
• Special Session Chairs, International Conference on Data, Intelligence and Security (ICDIS-2018), April 8-10, 2018, at South Padre Island (SPI), Texas, USA.
• Session Chair, the 6th International Conference on BioMedical Engineering and Informatics (BMEI 2013), Dec. 16-18, 2013, Hangzhou, China.
• Session Chair, 2010 International Conference on Artificial Intelligence and Computational Intelligence (AICI 2010), Oct. 23-24, 2010, Sanya, China.
• Session Chair, 2009 International IEEE Workshop Conference on Intelligent Systems and Applications(ISA), IEEE Computer Science, May 22-24, 2009, Wuhan, China.
• Invited plenary speaker at 2013 6rd International Congress on Image and Signal Processing (CISP 2013), Dec 16-18, 2013, Hangzhou, China.
• Invited speaker at IEEE Symposium Series on Computation al Intelligence (SSCI 2013), April 16-19, 2013, Singapore.
• Invited plenary speaker at 2011 IEEE Pacific RIM Conference on Communications, Computers, and Signal Processing (PacRim 2011), Aug 23-26, 2011, Victoria, BC, Canada.
• Invited plenary speaker at 2010 International Conference on Artificial Intelligence and Computational Intelligence (AICI 2010), Oct. 23-24, 2010, Sanya, China.
• Invited plenary speaker at 2009 International IEEE Workshop Conference on Intelligent Systems and Applications (ISA 2009), May 22-24, 2009, Wuhan, China.
• Invited speaker at the second annual conference of Jiangsu Young Scientists, Sep. 28-29, 2008, Nanjing, China.

• IEEE Transactions on Fuzzy Systems (IEEE)
• IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE)
• IEEE Transactions on Neural Networks and Learning Systems (IEEE)
• IEEE Transactions on Knowledge and Data Engineering (IEEE)
• IEEE Transactions on Evolutionary Computation (IEEE)
• IEEE Transactions on Cybernetics (IEEE)
• IEEE Transactions on Big Data (IEEE)
• IEEE Transactions on Game (IEEE)
• IEEE Transactions on Systems, Man and Cybernetics: Systems (IEEE)
• IEEE Transactions on Artificial Intelligence (IEEE)
• IEEE Transactions on Emerging Topics in Computational Intelligence(IEEE)
• ACM Transactions on Management Information Systems (ACM)
• Information Fusion(Elsevier)
• Information Sciences (Elsevier)
• Knowledge-Based Systems (Elsevier)
• Applying Soft Computing (Elsevier)
• Soft Computing (Elsevier)
• Journal of Scheduling (Springer)
• International Journal of Systems Science (Elsevier)
• Neural Computing and Applications (Springer)
• International Journal of Electrical Power and Energy Systems (Elsevier)
• Multimedia Tools and Applications (Springer)

Learning Dynamic-Sensitivity Enhanced Correlation Filter with Adaptive Second-order Difference Spatial Regularization for UAV Tracking.
Yu-Feng Yu, Zhongsen Chen, Yang Zhang, Chuanbin Zhang, and Weiping Ding.
IEEE Transactions on Intelligent Transportation Systems, 2025.
doi: 10.1109/TITS.2025.3533953.

Knowledge-level Fusion: A Novel Information Fusion Mode from the Perspective of Granular Computing.
Fan Zhao, Qinghua Zhang, Ying Yang, Longjun Yin, Guoyin Wang, and Weiping Ding.
IEEE Transactions on Cybernetics, 2025.
doi: 10.1109/TCYB.2025.3538646.

Selecting Central and Divergent Samples via Leading Tree Metric Space for Semi-supervised Learning.
Yu-Feng Yu, Zhongsen Chen, Yang Zhang, Chuanbin Zhang, and Weiping Ding.
IEEE Transactions on Fuzzy Systems, 2025.
doi: 10.1109/TITS.2025.3533953.

A Generalized f-Divergence with Applications in Pattern Classification.
Fuyuan Xiao, Weiping Ding, and Witold Pedrycz.
IEEE Transactions on Knowledge and Data Engineering, 2025.
doi: 10.1109/TKDE.2025.3530524.

V2-SfMLearner: Learning Monocular Depth and Ego-motion for Multimodal Wireless Capsule Endoscopy.
Liangyu Wang, Long Bai, Shilong Yao, Yanheng Li, Sishen Yuan,Yanan Wu,Yang Zhang,Max Q.-H. Meng, Weiping Ding, and Hongliang Ren.
IEEE Transactions on Automation Science and Engineering, 2025.
doi: 10.1109/TASE.2025.3530791.

Encoding-Decoding-Based Recursive State Estimation for Mobile Robot Localization: A Multiple Description Case.
Cong Huang, Li Zhu, Weiping Ding, Ke Gu, Peng Mei, and Shichun Yang.
IEEE/ASME Transactions on Mechatronics, 2025.
doi: 10.1109/TMECH.2025.3529077.

A Systematic Review of Multi-Sensor Information Fusion for Equipment Fault Diagnosis.
Tantao Lin, Zhijun Ren, Linbo Zhu,Yongsheng Zhu, Ke Feng, Weiping Ding, Michael Beer, and Patrick Siarry.
IEEE Transactions on Instrumentation & Measurement, 2025.
doi: 10.1109/TIM.2025.3529577.

A Vertical Federated Multi-view Fuzzy Clustering Method for Incomplete Data.
Yan Li, Xingchen Hu, Shengju Yu, Weiping Ding, Xinwang Liu, Yeo Chai Kiat, and Zhong Liu.
IEEE Transactions on FuzzySystems, 2025.
doi: 10.1109/TFUZZ.2025.3526978.

Fuzzy Granule Density-Based Outlier Detection with Multi-Scale Granular Balls.
Can Gao, Xiaofeng Tan, Jie Zhou, Weiping Ding, and Witold Pedrycz.
IEEE Transactions on Knowledge and Data Engineering, 2024.
doi: 10.1109/TKDE.2024.3525003.

AGCTO: Attributed Graph Clustering with Transitive Order Convolutional Autoencoder.
Ying Xie, Weiping Ding, Weihua Liu, Hao Wang, Yushan Pan, Rongbin Xu, and Yun Yang.
IEEE Transactions on Emerging Topics in Computational Intelligence., 2025.
doi: 10.1109/TETCI.2025.3526281.

IPT-ILR: Image Pyramid Transformer Coupled with Information Loss Regularization for All- in-one Image Restoration.
Sai Yang, Bin Hu, Fan Liu, Xiaoxin Wu, Weiping Ding, and Jun Zhou.
IEEE Transactions on Circuits and Systems for Video Technology, 2024.
doi: 10.1109/TCSVT.2024.3519352.

Dynamic Fuzzy Sampler for Graph Neural Networks.
Jia Wei, Xingjun Zhang, Witold Pedrycz, and Weiping Ding.
IEEE Transactions on Fuzzy Systems, 2024.
doi: 10.1109/TFUZZ.2024.3509018.

GRNN Model with Feedback Mechanism Incorporating k-Nearest Neighbour and Modified Gray Wolf Optimization Algorithm in Intelligent Transportation.
Xunjin Wu, Jianming Zhan, Weiping Ding, and Witold Pedrycz.
IEEE Transactions on Intelligent Transportation Systems, 2024.
doi: 10.1109/TITS.2024.3510678.

Time Series Forecasting Based on Improved Multilinear Trend Fuzzy Information Granules for Convolutional Neural Networks.
Ronghua Zhang, Jianming Zhan, Weiping Ding and Witold Pedrycz.
IEEE Transactions on Fuzzy Systems, 2025,33(3): 1009-1023.
doi: 10.1109/TFUZZ.2024.3504486.

SDHGCN: A heterogeneous graph convolutional neural network combined with shadowed set.
Bin Yu, Hengjie Xie, Jingxuan Chen, Mingjie Cai, Hamido Fujita, and Weiping Ding.
IEEE Transactions on Fuzzy Systems, 2024.
doi: 10.1109/TFUZZ.2024.3494864.

Visual-Semantic Graph Matching Net for Zero-Shot Learning.
Bowen Duan, Shiming Chen, Yufei Guo, Guosen Xie, Weiping Ding and Yisong Wang.
IEEE Transactions on Neural Networks and Learning Systems, 2024.
doi: 10.1109/TNNLS.2024.3499377.

Feature selection and classification based on directed fuzzy rough sets.
Changzhong Wang, Shuang An, Weiping Ding, and Yuhua Qian.
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024.
doi: 10.1109/TSMC.2024.3492337.

Dual Anchor Graph Fuzzy Clustering for Multi-view Data.
Wei Zhang, Xiuyu Huang, Andong Li, Te Zhang, Weiping Ding, Zhaohong Deng, and Shitong Wang.
IEEE Transactions on Fuzzy Systems, 2024.
doi: 10.1109/TFUZZ.2024.3489025.

A classification-based product selection method based on online reviews on multi-faceted attributes.
Xingli Wu, Huchang Liao, Benjamin Lev, and Weiping Ding, Zhaohong Deng, and Shitong Wang.
IEEE Transactions on Computational Social Systems, 2024.
doi: 10.1109/TCSS.2024.3485009.

A Genetic Algorithm Based on Deep Q-learning I Optimization of Remote Sensing Data Discretization Scheme.
Qiong Chen, and Weiping Ding, Zhaohong Deng, and Shitong Wang.
IEEE Transactions on Evolutionary Computation, 2024.
doi: 10.1109/TEVC.2024.3484968.

Object-Awared Image Augmentation for Audio-Visual Zero-Shot Learning.
Yujie Dong, Shiming Chen, Bowen Duan, Weiping Ding, Yisong Wang, and Xinge You.
IEEE Transactions on Emerging Topics in Computational Intelligence, 2024.
doi: 10.1109/TETCI.2024.3485624.

Synergistic Attention-guided Cascaded Graph Diffusion Model for Complementarity Determining Region Synthesis.
Chao Zhang, Yu Huang, Weiping Ding, Yiwei Lou, Yongzhi Cao, and Hanpin Wang.
IEEE Transactions on Neural Networks and Learning Systems, 2024.
doi: 10.1109/TNNLS.2024.34772481.

Efficient Evaluation Methods for Neural Architecture Search: A Survey.
Xiangning Xie, Xiaotian Song, Zeqiong Lv, Gary G. Yen, Weiping Ding, and Yanan Sun.
IEEE Transactions on Artificial Intelligence, 2024.
doi: 10.1109/TAI.2024.3477457.

FRCNN: A Combination of Fuzzy-rough-set-based Feature Discretization and Convolutional Neural Network for Segmenting Subretinal Fluid Lesions.
Qiong Chen, Lirong Zeng, and Weiping Ding.
IEEE Transactions on Fuzzy Systems, 2024.
doi: 10.1109/TFUZZ.2024.3473310.

Incomplete Data Transfer Calibration Classification.
Hongpeng Tian, Zuowei Zhang, Xiaole Wang, and Weiping Ding.
IEEE Transactions on Emerging Topics in Computational Intelligence, 2024.
doi: 10.1109/TETCI.2024.3449902.

Multi-View Fuzzy Concept-Cognitive Learning with High-Order Fusion of Fuzzy Attributes.
Jinbo Wang, Weihua Xu, Weiping Ding and Yuhua Qian.
IEEE Transactions on Fuzzy Systems, 2024.
doi: 10.1109/TFUZZ.2024.3470794.

A Bayesian framework for modelling the trust relationships to group decision making problems.
Xianchao Dai, Hao Li, Ligang Zhou, Qun Wu, Weiping Ding, and Muhammet Devecie.
IEEE Transactions on Fuzzy Systems, 2024.
doi: 10.1109/TFUZZ.2024.3452271.

Attribute reduction for heterogeneous data by hybrid neighborhood graph structure and neighbor inconsistent pair selection.
Jianhua Dai, Jie Liu, Weiping Ding, and Chucai Zhang.
IEEE Transactions on Emerging Topics in Computational Intelligence, 2024.
doi: 10.1109/TETCI.2024.3462169.

Learning Inter and Intra Class Variation with Deep Frequency Factorization Network for Face Anti-Spoofing.
Weihua Liu, Junlan Feng, Chao Deng, Wenhui Huang, Xi Chen, Yiming Luo, Yushan Pan, Hao Wang, and Weiping Ding.
IEEE Transactions on Emerging Topics in Computational Intelligence, 2024.
doi: 10.1109/TETCI.2024.3462172.

SODSR: A Three-Stage Small Object Detection via Super-Resolution Using Optimizing Combination.
Xiaoyong Mei, Kejin Zhang, Changqin Huang, Xiao Chen, Ming Li, Zhao Li, Weiping Ding, and Xindong Wu.
IEEE Transactions on Emerging Topics in Computational Intelligence, 2024.
doi: 10.1109/TETCI.2024.3452749.

TLNet: Temporal Span Localization Network with Collaborative Graph Reasoning for Video Question Answering.
Lili Liang, Guanglu Sun, Tianlin Li, Shuai Liu, and Weiping Ding.
IEEE Transactions on Emerging Topics in Computational Intelligence, 2024.
doi: 10.1109/TETCI.2024.3452751.

Enhancing Lyrics Rewriting with Weak Supervision from Grammatical Error Correction Pre-training and Reference Knowledge Fusion.
Jiajia LI, Ping Wang, Zuchao Li, Kevin Parnow, Hai Zhao, and Weiping Ding.
IEEE Transactions on Asian and Low-Resource Language Information Processing, 2024.
doi: https://doi.org/10.1145/3687126.

Deep Reconciled & Self-Paced TSK Fuzzy System Ensemble for Imbalanced Data Classification: Architecture, Interpretability and Theory.
Yuanpeng Zhang, Guanjin Wang, Ta Zhou, Ge Ren, Saikit Lam, Weiping Ding, and Jing Cai.
IEEE Transactions on Fuzzy Systems, 2024. doi: 10.1109/TFUZZ.2024.3442821.

C2F-Explainer: Explaining Transformers Better through a Coarse-to-Fine Strategy.
Weiping Ding, Xiaotian Cheng, Yu Geng, Jiashuang Huang, and Hengrong Ju.
IEEE Transactions on Knowledge and Data Engineering, 2024.
doi: 10.1109/TKDE.2024.3443888.

Adaptive Relative Fuzzy Rough Learning for Classification.
Yang Zhang, Changzhong Wang, Yang Huang, Weiping Ding, and Yuhua Qian.
IEEE Transactions on Fuzzy Systems, 2024.
doi: 10.1109/TFUZZ.2024.3443863.

Long-term multivariate time series forecasting model based on Gaussian fuzzy information granules.
Chenglong Zhu, Xueling Ma, Pierpaolo D’ Urso, Yuhua Qian, Weiping Ding, and Jianming Zhan.
IEEE Transactions on Fuzzy Systems, 2024.
doi: 10.1109/TFUZZ.2024.3449769.

Incomplete Data Transfer Calibration Classification.
Hongpeng Tian, Zuowei Zhang, Xiaole Wang, and Weiping Ding.
IEEE Transactions on Emerging Topics in Computational Intelligence, 2024.
doi: 10.1109/TETCI.2024.3449902.

Granular ball fuzzy neighborhood rough sets-based feature selection via multi-objective mayfly optimization.
Lin Sun, Hanbo Liang, Yuhua Qian, Weiping Ding, and Jiucheng Xu.
IEEE Transactions on Fuzzy Systems, 2024.
doi: 10.1109/TFUZZ.2024.3440575.

Neighbor-enhanced Representation Learning for Link Prediction in Dynamic Heterogeneous Attributed Networks.
Xiangyu Wei, Wei Wang, Chongsheng Zhang, Weiping Ding, Bin Wang, Yaguan Qian, Zhen Han, Degan Zhang, and Chunhua Su.
ACM Transactions on Knowledge Discovery from Data, 2024.
doi: https://doi.org/10.1145/3676559.

A fuzzy C-means clustering-based hybrid multivariate time series prediction framework with feature selection.
Jianming Zhan, Xianfeng Huang, Yuhua Qian, and Weiping Ding.
IEEE Transactions on Fuzzy Systems, 2024, 32(8): 4270-4284.
doi: 10.1109/TFUZZ.2024.3393622.

MM-tracker: Visual Tracking with a Multi-task Model Integrating Detection and Differentiating Feature Extraction.
Zhihui Wang, Mingshuai Li, Xingli Zhang, Ming Li, Zhao Li, Weiping Ding, and Xindong Wu.
IEEE Transactions on Emerging Topics in Computational Intelligence, 2024.
doi: 10.1109/TETCI.2024.3436842.

DSANet: Dynamic and Structure-Aware GCN for Sparse and Incomplete Point Cloud Learning.
Yushi Li, George Baciu, Rong Chen, Chenhui Li, Hao Wang, Yushan Pan, and Weiping Ding.
IEEE Transactions on Neural Networks and Learning Systems, 2024.
doi: 10.1109/TNNLS.2024.3439706.

Dual-Channel Fuzzy Interaction Information fused Feature Selection with Fuzzy Sparse and Shared Granularities.
Hengrong Ju, Xiaoxue Fan, Weiping Ding, Jiashuang Huang, Suping Xu, Xibei Yang, and Witold Pedrycz.
IEEE Transactions on Fuzzy Systems, 2024.
doi: 10.1109/TFUZZ.2024.3438364.

Fuzzy Attention-based Border Rendering Orthogonal Network for Lung Organ Segmentation.
Sheng Zhang, Yingying Fang, Yang Nan, Shiyi Wang, Weiping Ding, Yew-Soon Ong, Alejandro F Frangi, Witold Pedrycz, Simon Walsh, and Guang Yang.
IEEE Transactions on Fuzzy Systems, 2024.
doi: 10.1109/TFUZZ.2024.3433506.

An Integrated Fusion Framework for Ensemble Learning Leveraging Gradient Boosting and Fuzzy Rule-Based Models.
Jinbo Li, Peng Liu, Long Chen, Witold Pedrycz, and Weiping Ding.
IEEE Transactions on Artificial Intelligence, 2024.
doi: 10.1109/TAI.2024.3424427.

Two-Stage Deep Feature Selection Method Using Voting Differential Evolution Algorithm for Pneumonia Detection from Chest X-Ray Images.
Haibin Ouyang, Dongmei Liu, Steven Li, Weiping Ding, and Zhi-hui Zhan.
IEEE Transactions on Emerging Topics in Computational Intelligence, 2024.
doi: 10.1109/TETCI.2024.3425285.

Efficient Online Planning and Robust Optimal Control for Nonholonomic Mobile Robot in Unstructured Environments.
Yingbai Hu, Wei Zhou, Yueyue Liu, Minghao Zeng, Weiping Ding, Shu Li, Guoxin Li, Zheng Li, and Alois Knoll.
IEEE Transactions on Emerging Topics in Computational Intelligence, 2024.
doi: 10.1109/TETCI.2024.3424527.

Fuzzy neural tangent kernel model for identifying DNA N4-methylcytosine sites.
Yijie Ding, Prayag Tiwari, Fei Guo, Quan Zou, and Weiping Ding.
IEEE Transactions on Fuzzy Systems, 2024.
doi: 10.1109/TFUZZ.2024.3425616.

Cascaded two-stage feature clustering and selection via separability and consistency in fuzzy decision systems.
Yuepeng Chen, Weiping Ding, Hengrong Ju, Jiashuang Huang, and Tao Yin.
IEEE Transactions on Fuzzy Systems, 2024.
doi: 10.1109/TFUZZ.2024.3420963.

Ze-HFS: Zentropy-Based Uncertainty Measure for Heterogeneous Feature Selection and Knowledge Discovery.
Kehua Yuan, Duoqian Miao, Witold Pedrycz, Weiping Ding, and Hongyun Zhang.
IEEE Transactions on Knowledge and Data Engineering, 2024.
doi: 10.1109/TKDE.2024.3419215.

Confidence-Induced Granular Partial Label Feature Selection via Dependency and Similarity.
Wenbin Qian, Yihui Li, Qianzhi Ye, Shuyin Xia, Jintao Huang, and Weiping Ding.
IEEE Transactions on Knowledge and Data Engineering, 2024.
doi: 10.1109/TKDE.2024.3405489.

Interpreting Industrial IoT Data Streams through Fuzzy Querying with Hysteretic Fuzzy Sets on Apache Kafka.
Bo˙zena Małysiak-Mrozek, Bartłomiej Ryba, Marek Moleda, Che-Lun Hung, Witold Pedrycz, Weiping Ding, and Dariusz Mrozek.
IEEE Transactions on Fuzzy Systems, 2024,32(8): 4671-4684.
doi: 10.1109/TFUZZ.2024.3409585.

FMDNN: A Fuzzy-guided Multi-granularity DeepNeural Network for Histopathological Images Classification.
Weiping Ding, Tianyi Zhou, Jiashuang Huang, Shu Jiang, Tao Hou, and Chin-Teng Lin.
IEEE Transactions on Fuzzy Systems, 2024,32(8): 4709-4723.
doi: 10.1109/TFUZZ.2024.3410929.

A Novel Spark-based Attribute Reduction and Neighborhood Classification for Rough Evidence.
Weiping Ding, Ming Li, Ying Sun, Jun Liu, Hengrong Ju, Jiashuang Huang, and Chin-Teng Lin.
IEEE Transactions on Industrial Informatics, 2024,54(3): 1470-1483.
doi: 10.1109/TCYB. 2022.3208130.

Multi-view dynamic kernelized evidential clustering.
Jinyi Xu, Zuowei Zhang, Ze Lin, Yixiang Chen, and Weiping Ding.
IEEE/CAA Journal of Automatica Sinica, 2024.
doi: 10.1109/JAS.2024.124608.

Group decision making using circular intuitionistic fuzzy preference relations.
Muhammad Jabir Khan, Weiping Ding, Shu Jiang, and Muhammad Akramb.
Expert Systems With Applications., 270 (2025) 126502.
doi: https://doi.org/10.1016/j.eswa.2025.126502.

GLGBN: Global-Local Graph Convolutional Broad Network for Hyperspectral Image Classification.
Yonghe Chu, Jun Cao, Guangen Liu, Jiashuang Huang, Hengrong Ju, Heling Cao, and Weiping Ding.
Applied Soft Computing., 170 (2025) 112723.
doi: https://doi.org/10.1016/j.asoc.2025.112723.

The fuzzy hypergraph neural network model based on sparse k-nearest neighborhood granule.
Tao Yin, Weiping Ding, Hengrong Ju, Jiashuang Huang, Yuepeng Chen.
Applied Soft Computing., 170 (2025) 112721.
doi: https://doi.org/10.1016/j.asoc.2025.112721.

Dual-Stage Self-Adaptive Differential Evolution with Complementary and Ensemble Mutation Strategies for Solving Global Optimization Problems.
Bozhen Chen, Haibin Ouyang, Steven Li, and Weiping Ding.
Swarm and Evolutionary Computation., 93 (2025) 101855.
doi: https://doi.org/10.1016/j.swevo.2025.101855.

GRU-AE-wiener: A generative adversarial network assisted hybrid gated recurrent unit with Wiener model for bearing remaining useful life estimation.
Long Wen, Shaoquan Su, Xinyu Li, Weiping Ding, and Ke Feng.
Mechanical Systems and Signal Processing., 220 (2024) 111663.
doi: https://doi.org/10.1016/j.ymssp.2024.111663.

Local Structural-Functional Coupling with Counterfactual Explanations for Epilepsy Prediction.
JiaShuang Huang, Shaolong Wei, Zhen Gao, Shu Jiang, Mingliang Wang, Liang Sun, Weiping Ding, and Daoqiang Zhang.
NeuroImage., 306 (2025) 120978.
doi: https://doi.org/10.1016/j.neuroimage.2024.120978.

Collaborative Semantic Contrastive for All-in-One Image Restoration.
Bin Hu, Sai Yang, Fan Liu, and Weiping Ding.
Engineering Applications of Artificial Intelligence., 143 (2025) 110017.
doi: https://doi.org/10.1016/j.engappai.2025.110017.

Class-specific semi-supervised feature selection with fuzzy convex balling information granularity.
Hengrong Ju, Jiarong Li, Weiping Ding, Xiaoxue Fan, Jiashuang Huang, Suping Xu, and Xibei Yang.
Information Sciences., 700 (2025) 121821.
doi: https://doi.org/10.1016/j.ins.2024.121821.

GQEO: Nearest Neighbor Graph-based Generalized Quadrilateral element Oversampling for Class-imbalance Problemm.
Qi Dai, Longhui Wang, Jing Zhang, Weiping Ding, and Li-fang Chen.
Neural Networks., 184 (2025) 107107.
doi: https://doi.org/10.1016/j.neunet.2024.107107.

Large Language Models for Cyber Resilience: A Comprehensive Review, Challenges, and Future Perspectives.
Weiping Ding, Mohamed Abdel-Basset, Ahmed M. Ali and Nour Moustafa.
Applied Soft Computing., 170 (2025) 112663.
doi: https://doi.org/10.1016/j.asoc.2024.112663.

Exploration and Development of a Structured Multi-Level Fusion in an Ensemble-Based Large-Scale Meta-Decision Model.
B.B.Zaidan, Weiping Ding, H.A.Alsattar, Nahia Mourad, A.A.Zaidan, Sarah Qahtan, and Alshakhatreh.
Information Fusion., 117 (2025) 102911.
doi: https://doi.org/10.1016/j.inffus.2024.102911.

A survey on multi-view fusion for predicting links in biomedical bipartite networks:Method and applications.
Yuqing Qian, Yizheng Wang, Junkai Liu, Quan Zou, Yijie Ding, Xiaoyi Guo, and Weiping Ding.
Information Fusion., 117 (2025) 102894.
doi: https://doi.org/10.1016/j.inffus.2024.102894.

FDBFN: Fuzzy Discriminative Broad Fusion Network for Hyperspectral Image Classification.
Yonghe Chu, Jun Cao, Weiping Ding, Jiashuang Huang, Hengrong Ju, and Heling Cao.
Expert Systems With Applications, 266 (2025) 126026.
doi: https://doi.org/10.1016/j.eswa.2024.126026.

Fusion-enhanced multi-label feature selection with sparse supplementation.
Yonghao Li, Xiangkun Wang, Xin Yang, Wanfu Gao, Weiping Ding, and Tianrui Li.
Information Fusion, 117 (2025) 102813.
doi: https://doi.org/10.1016/j.inffus.2024.102813.

Double deep Q-network-based dynamic offloading decision-making for mobile edge computing with regular hexagonal deployment structure of servers.
Xiaoan Tang, Tianxiang Tang, Zibo Shen, Handong Zheng, and Weiping Ding.
Applied Soft Computing, 169 (2025) 112594.
doi: https://doi.org/10.1016/j.asoc.2024.112594.

Robust Three-Way Decisions Based on Ensembled Multi-Divergence Measures with Circular Quintic Fuzzy Sets for Developing Swarm Robots in Mechanized Agricultural Operations.
Sarah Qahtan, Aws. Alaa Zaidan, Nahia Mourad, Hassan A. Ibrahim, Bilal Bahaa, and Weiping Ding.
Expert Systems With Applications, 266 (2025) 126102.
doi: https://doi.org/10.1016/j.eswa.2024.126102.

Evolutionary Multistage Multitasking Method for Feature Selection in Imbalanced Data.
Weiping Ding, Hongcheng Yao, Jiashuang Huang, Tao Hou, and Yu Geng.
Swarm and Evolutionary Computation, 92 (2025) 101821.
doi: https://doi.org/10.1016/j.swevo.2024.101821.

Fusion of Heterogeneous Industrial Wireless Networks: A Survey.
Jiale Lei, Linghe Kong, Chi Xu, Chenren Xu, Kai Lin, Yueping Cai, Yanzhao Su, Weiping Ding, Zhen Wang, Bangyu Li, Xiaoguang Chen, and Feng Gao.
Computer Networks, 257 (2025) 110929.
doi: https://doi.org/10.1016/j.comnet.2024.110929.

Multimodal sentiment analysis based on disentangled representation learning and cross-modal-context association mining.
Zuhe Li, Panbo Liu, Yushan Pan, Weiping Ding, Jun Yu, Haoran Chen, Weihua Liu, Yiming Luo, and Hao Wang.
Neurocomputing, 617 (2025) 128940.
doi: https://doi.org/10.1016/j.neucom.2024.128940.

Dynamic Feature and Context Enhancement Network for Faster Detection of Small Objects.
Shijiao Ding, Maomao Xiong, Zekai Zhang, Qinghui Chen, Jinglin Zhang, Xinghua Wang, Xing Wang, Zaigui Zhang, Sen Xu, and Weiping Ding.
Expert Systems with Applications, 2024.
doi: https://doi.org/10.1016/j.eswa.2024.125732.

Quality-Aware Fuzzy Min-Max Neural Networks for Brain Network Analysis.
Tao Hou, Weiping Ding, Jiashuang Huang, Shu Jiang, Hongcheng Yao, Tianyi Zhou, Hengrong Ju.
Applied Soft Computing, 169 (2025) 112538.
doi: https://doi.org/10.1016/j.asoc.2024.112538.

Graph-in-Graph Discriminative Feature Enhancement Network for Fine-grained Visual Classification.
Yupeng Wang, Can Xu, Yongli Wang, Xiaoli Wang, and Weiping Ding.
Applied Intelligence, 55 (22) 2025.
doi: https://doi.org/10.1007/s10489-024-05846-8.

Hybrid multivariate time series prediction system fusing transfer entropy and local relative density.
Jianming Zhan, Xianfeng Huang, and Weiping Ding.
Information Fusion, 117 (2025) 102817.
doi: https://doi.org/10.1016/j.inffus.2024.102817.

BEV-TinySpotter: A novel BEV perception method considering small target detection enhancement.
Peng Ping, Zhengpeng Yang, Quan Shi, and Weiping Ding.
Information Fusion, 116 (2025) 102793.
doi: https://doi.org/10.1016/j.inffus.2024.102793.

Semi-supervised multi-view feature selection with adaptive similarity fusion and learning.
Bingbing Jiang, Jun Liu, Zidong Wang, Chenglong Zhang, Jie Yang, Yadi Wang, Weiguo Sheng, and Weiping Ding.
Pattern Recognition, 159 (2025) 111159.
doi: https://doi.org/10.1016/j.patcog.2024.111159.

Label Disambiguation-Based Feature Selection for Partial Multi-label Learning.
Fankang Xu, Wenbin Qian, Xingxing Cai, Wenhao Shu, Jintao Huang, Yiu-Ming Cheung, and Weiping Ding.
ICPR 2024, LNCS 15307, pp. 1–15, 2025.
doi: https://doi.org/10.1007/978-3-031-78183-4_17.

Semi-supervised multi-view feature selection with adaptive similarity fusion and learning.
Bingbing Jiang, Jun Liu, Zidong Wang, Chenglong Zhang, Jie Yang, Yadi Wang, Weiguo Sheng, and Weiping Ding.
Pattern Recognition, 159 (2025) 111159.
doi: https://doi.org/10.1016/j.patcog.2024.111159.

DEF-NNs: Dynamic Evidence Fusion Neural Networks for Brain Network Analysis.
Weiping Ding, Tao Hou, Jiashuang Huang, Hengrong Ju, and Shu Jiang.
Information Sciences, 691 (2025) 121622.
doi: https://doi.org/10.1016/j.ins.2024.121622.

Robust Chinese Clinical Named Entity Recognition with information bottleneck and adversarial training.
Yunfei He, Zhiqiang Zhang, Jinlong Shen, Yuling Li, Yiwen Zhang, Weiping Ding, and Fei Yang.
Applied Soft Computing, 167 (2024) 112409.
doi: https://doi.org/10.1016/j.asoc.2024.112409.

A Switching Based Forecasting Approach for Forecasting Sales Data in Supply Chains.
Supriyo Ahmed, Ripon K. Chakrabortty, Daryl L. Essam, and Weiping Ding.
Applied Soft Computing, 167 (2024) 112419.
doi: https://doi.org/10.1016/j.asoc.2024.112419.

A concept fringe-based concept-cognitive learning method in skill context.
Hai-Long Yang, Yin-Feng Zhou, Jin-Jin Li, and Weiping Ding.
Knowledge-Based Systems, 305 (2024) 112618.
doi: https://doi.org/10.1016/j.knosys.2024.112618.

Recent Advances in Data-driven Fusion of Multi-modal Imaging and Genomics for Precision Medicine.
Shuo Wang, Meng Liu, Yan Li, Xinyu Zhang, Mengting Sun, Zian Wang, Ruokun Li, Qirong Li, Qing Li, Yili He, Xumei Hu, Longyu Sun, Fuhua Yan, Mengyao Yu, Weiping Ding, Chengyan Wang.
Information Fusion, 115 (2025) 102738.
doi: https://doi.org/10.1016/j.inffus.2024.102738.

A Survey of Intelligent Multimedia Forensics for Internet of Things Communications: Approaches, strategies, perspectives, and Challenges for a Sustainable Future.
Weiping Ding, Mohamed Abdel-Basset, Ahmed A. Ali, and Nour Moustafa.
Engineering Applications of Artificial Intelligence, 138 (2024) 109451.
doi: https://doi.org/10.1016/j.engappai.2024.109451.

Adaptive Sequential Three-way Decisions for Dynamic Time Warping.
Ruihua Wang, Jianfeng Xu, Yuanjian Zhang, and Weiping Ding.
Information Sciences, 690 (2025) 121541.
doi: https://doi.org/10.1016/j.ins.2024.121541.

AI-based Decision Support Systems for Sustainable Business Management Under Circular Economy.
Muhammet Deveci, Dursun Delen, and Weiping Ding.
Annals of Operations Research, 2024.
doi: 10.1007/s10479-024-06347-0.

MMF-NNs: Multi-modal Multi-granularity Fusion Neural Networks for Brain Networks and Its Application to Epilepsy Identification.
Jiashuang Huang, Xiaoyu Qi, Xueyun Cheng, Mingliang Wang, Hengrong Ju, Weiping Ding, and Daoqiang Zhang.
Artificial Intelligence in Medicine, 157 (2024) 102990.
doi: https://doi.org/10.1016/j.artmed.2024.102990.

Hyperspectral Image Classification Using Feature Fusion Fuzzy Graph Broad Network.
Yonghe Chu, Jun Cao, Weiping Ding, Jiashuang Huang, Hengrong Ju, Heling Cao and Guangen Liu.
Information Sciences, 689 (2025) 121504.
doi: https://doi.org/10.1016/j.ins.2024.121504.

D3WC: Deep Three-way Clustering with Granular Evidence Fusion.
Hengrong Ju, Jing Guo, Weiping Ding, and Xibei Yang.
Information Fusion, 114 (2025) 102699.
doi: https://doi.org/10.1016/j.inffus.2024.102699.

D3WC: Deep Three-way Clustering with Granular Evidence Fusion.
Hengrong Ju, Jing Guo, Weiping Ding, and Xibei Yang.
Information Fusion, 114 (2025) 102699.
doi: https://doi.org/10.1016/j.inffus.2024.102699.

ELSNC: A Semi-supervised Community Detection Method with Integration of Embedding-enhanced Links and Node Content in Attributed Networks.
Jinxin Cao, Weizhong Xu, Weiping Ding, Hengrong Ju, Xiaoyang Zou, Lu Liu, Fuxiang Chen, and Di Jin.
Applied Soft Computing, 114 (2025) 102699.
doi: https://doi.org/10.1016/j.inffus.2024.102699.

CMEFS: Chaotic Mapping-Based Mayfly Optimization with Fuzzy Entropy for Feature.
Lin Sun, Haibo Liang, Weiping Ding, Jiucheng Xu, and Baofang Chang.
Applied Intelligence, 2024, 54: 7397-7417.
doi: https://doi.org/10.1007/s10489-024-05555-2.

Can Smartphones Serve as an Instrument for Driver Behavior of Intelligent Transportation Systems Research? A Systematic Review: Challenges, Motivations, and Recommendations.
Salem Garfan, Bilal Bahaa Zaidan, Aws Alaa Zaidan, Sarah Qahtan, Hassan Abdulsattar Ibrahim, Muhammet Deveci, Zhen-Song Chen, and Weiping Ding.
Pervasive and Mobile Computing, 105 (2024) 101978.
doi: https://doi.org/10.1016/j.pmcj.2024.101978.

A novel multi-source information fusion method for emergency spatial resilience assessment based on Dempster-Shafer theory.
Liguo Fei, Tao Li, Xiaoyu Liu, and Weiping Ding.
Information Sciences, 686(2025) 121373.
doi: https://doi.org/10.1016/j.ins.2024.121373.

An ultra-high-definition multi-exposure image fusion method based on multi-scale feature extraction.
Xiuyi Jia, Qiaowanni Lin, and Weiping Ding.
Applied Soft Computing, 166 (2024) 112240.
doi: https://doi.org/10.1016/j.asoc.2024.112240.

New trends of adversarial machine learning for data fusion and intelligent system.
Weiping Ding, Zheng Zhang, Luis Martínez, Zehong(Jimmy) Cao, Jun Liu, and Abhirup Banerjee.
Information Fusion, 2024.
doi: https://doi.org/10.1016/j.inffus.2024.102683.

An Intelligent Decision Support Framework for Nursing Home Resource Planning with Enhanced Heterogeneous Service Demand Modeling.
Xuxue Sun, Nan Kong, Weiping Ding, Ying Li, Nazmus Sakib, Hao Zeng, Hongdao Meng, Chris Masterson, and Mingyang Li.
Engineering Applications of Artifcial Intelligence, 137 (2024) 109221.
doi: https://doi.org/10.1016/j.engappai.2024.109221.

Normal Wiggly Hesitant Fuzzy Modelling Approach for 6G Frameworks based Blockchain Technology.
Sarah Qahtan, Nahia Mourad, Hassan A.Ibrahim, Aws Alaa Zaidan, Bilal Bahaa, Muhammet Deveci, Weiping Ding, Dragan Pamucar, Witold Pedrycz, and Saraswathy Shamini.
Engineering Applications of Artifcial Intelligence, 259 (2025) 125304.
doi: https://doi.org/10.1016/j.eswa.2024.125304.

A DNN Robust Video Watermarking Method in Dual-Tree Complex Wavelet Transform Domain.
Xuanming Chang, Beijing Chen, Weiping Ding, and Xin Liao.
Journal of Information Security and Applications, 85 (2024) 103868.
doi: https://doi.org/10.1016/j.jisa.2024.103868.

MFCA: Collaborative prediction algorithm of brain age based on multimodal fuzzy feature fusion.
Weiping Ding, Jing Wang, Jiashuang Huang, Chun Cheng, Tao Yin, and Jiang Shu.
Information Sciences, 687 (2025) 121376.
doi: https://doi.org/10.1016/j.ins.2024.121376.

A Unified Framework of Semi-Supervised Community Detection Integrating Network Topology and Node Content.
Jinxin Cao, Weizhong Xu, Di Jin, Xiaofeng Zhang, Lu Liu, Anthony Miller, Zhenquan Shi, Weiping Ding.
Information Sciences, 686 (2025) 121349.
doi: https://doi.org/10.1016/j.ins.2024.121349.

Partial Label Feature Selection based on Noisy Manifold with Label Distribution.
Wenbin Qian, Jiale Liu, Yihui Li, Weiping Ding, Jintao Huang.
Information Sciences, 686 (2025) 121349.
doi: https://doi.org/10.1016/j.ins.2024.121349.

An Infrared and Visible Image Fusion using Knowledge Measures for Intuitionistic Fuzzy Sets and Swin Transformer.
Muhammad Jabir Khan, Shu Jiang, Weiping Ding, Jiashuang Huang, and Haipeng Wang.
Information Sciences, 684 (2024) 121291.
doi: https://doi.org/10.1016/j.ins.2024.121291.

Partial Label Feature Selection based on Noisy Manifold with Label Distribution.
Wenbin Qian, Jiale Liu, Wenji Yang, Jintao Huang, and Weiping Ding.
Pattern Recognition, 156 (2024) 110791.
doi: https://doi.org/10.1016/j.patcog.2024.110791.

Exploring View-Specific Label Relationships for Multi-View Multi-Label Feature Selection.
Pingting Hao, Weiping Ding, Wanfu Gao, and Jialong He.
Information Sciences, 681 (2024) 121215.
doi: https://doi.org/10.1016/j.ins.2024.121215.

Dempster-Shafer theory-based information fusion for natural disaster emergency management: a systematic literature review.
Liguo Fei, Tao Li, and Weiping Ding.
Information Fusion, 112 (2024) 102585.
doi: https://doi.org/10.1016/j.inffus.2024.102585.

FDiff-Fusion: Denoising diffusion fusion network based on fuzzy learning for 3D medical image segmentation.
Weiping Ding, Sheng Geng, Haipeng Wang, Jiashuang Huang, and Tianyi Zhou.
Information Fusion, 112 (2024) 102540.
doi: https://doi.org/10.1016/j.inffus.2024.102540.

Adversarially Attack Feature Similarity for FineGrained Visual Classification.
Yupeng Wang, Can Xu, Yongli Wang, Xiaoli Wang, and Weiping Ding.
Applied Soft Computing, 163 (2024) 111945.
doi: https://doi.org/10.1016/j.asoc.2024.111945.

Trisection-fusion and fusion-trisection methods of three-way conflict analysis with Pythagorean fuzzy information.
Guangming Lang, Weiping Ding, Duoqian Miao, Hamido Fujita, and Yiyu Yao.
Applied Soft Computing, 164 (2024) 111939.
doi: https://doi.org/10.1016/j.asoc.2024.111939.

Deep learning based multimodal biomedical data fusion: An overview and comparative review.
Junwei Duan, Jiaqi Xiong, Yinghui Li, and Weiping Ding.
Information Fusion, 112 (2024) 102536.
doi: https://doi.org/10.1016/j.inffus.2024.102536.

Cloud model-based multi-stage multi-attribute decision-making method under probabilistic interval-valued hesitant fuzzy environment.
Chenlu Zhu, Xiaodi Liu, Weiping Ding, Shitao Zhang, Hao Xu.
Expert Systems with Applications, 255 (2024) 124595.
doi: https://doi.org/10.1016/j.eswa.2024.124595.

Fuzzy Neighborhood-Based Manifold Learning and Feature Weight Matrix for Multilabel Feature Selection.
Lin Sun, Qifeng Zhang, Weiping Ding, and Jiucheng Xu.
Knowledge-Based Systems, 299 (2024) 112125.
doi: https://doi.org/10.1016/j.knosys.2024.112125.

imFTP: Deep Imbalance Learning via Fuzzy Transition and Prototypical Learning.
Yaxin Hou, Weiping Ding, and Chongsheng Zhang.
Information Sciences, 679 (2024) 121071.
doi: https://doi.org/10.1016/j.ins.2024.121071.

Large group decision-making with a rough integrated asymmetric cloud model under multi-granularity linguistic environment.
Jicun Jiang, Xiaodi Liu, Zengwen Wang, Weiping Ding, and Shitao Zhang.
Information Sciences, 678 (2024) 120994.
doi: https://doi.org/10.1016/j.ins.2024.120994.

Differentiated Knowledge Distillation: Patient-Specific Single-Sample Personalization for Electrocardiogram Diagnostic Models.
Xiaoyang Wei, Zhiyuan Li, Yuanyuan Tian, Mengxiao Wang, Weiping Ding, Jinlei Liu, Yanrui Jin, and Chengliang Liu.
Engineering Applications of Artificial Intelligence, 136 (2024) 108880.
doi: https://doi.org/10.1016/j.engappai.2024.108880.

A Retinal Vessel Segmentation Network Approach based on Rough Sets and Attention Fusion Module.
Ziqiang Gao, Linlin Zhou, Weiping Ding, and Haipeng Wang.
Information Sciences, 678 (2024) 121015.
doi: https://doi.org/10.1016/j.ins.2024.121015.

A survey on Type-3 Fuzzy Logic Systems and its control applications.
Fevrier Valdez, Oscar Castillo, Patricia Melin, and Weiping Ding.
IEEE/CAA Journal of Automatica Sinica, 2024.
doi: 10.1109/JAS.2024.124530.

Multi-association evidential feature selection and its application to identifying schizophrenia.
Hengrong Ju, Xiaoxue Fan, Weiping Ding, Jiashuang Huang, and Xibei Yang.
Information Sciences, 674 (2024) 120647.
doi: https://doi.org/10.1016/j.ins.2024.120647.

A Prior Knowledge-guided Distributionally Robust Optimization-based Adversarial Training Strategy for Medical Image Classification.
Shancheng Jiang, Zehui Wu, Kun Xiang, Weiping Ding, and Zhen-Song Chen.
Information Sciences, 673 (2024) 120705.
doi: https://doi.org/10.1016/j.ins.2024.120705.

A YOLO-based deep learning model for Real-Time face mask detection via drone surveillance in public spaces.
Salama A. Mostafa, Sharran Ravi, Dilovan Asaad Zebari, Nechirvan Asaad Zebari, Mazin Abed Mohammed, Jan Nedoma, Radek Martinek, Muhammet Deveci, and Weiping Ding.
Information Sciences, 676 (2024) 120865.
doi: https://doi.org/10.1016/j.ins.2024.120865.

Multiscale collaborative representation for face recognition via class-information fusion.
Changzhong Wang, Shibing Pei, Xiang Lv, and Weiping Ding.
Pattern Recognition, 154 (2024) 110586.
doi: https://doi.org/10.1016/j.patcog.2024.110586.

Lung Cancer Detection Systems Applied to Medical Images: A State-of-the-Art Survey.
Sher Lyn Tan, Ganeshsree Selvachandran, Raveendran Paramesran, and Weiping Ding.
Archives of Computational Methods in Engineering, 2024: 1-38.
doi: https://doi.org/10.1007/s11831-024-10141-3.

WaterScenes: A Multi-Task 4D Radar-Camera Fusion Dataset and Benchmark for Autonomous Driving on Water Surfaces.
Shanliang Yao, Runwei Guan, Zhaodong Wu, Yi Ni, Zile Huang, Zixian Zhang, Yong Yue, Weiping Ding, Hyungjoon Seo, Ka Lok Man, Xiaohui Zhu, and Yutao Yue.
IEEE Transactions on Intelligent Transportation Systems, 2023.
doi: 10.1109/TITS.2024.3415772.

Multigranulation Super-Trust Model for Attribute Reduction.
Weiping Ding, Witold Pedrycz, Isaac Triguero, Zehong Cao, and Chin-Teng Lin.
IEEE Transactions on Fuzzy Systems, 2021, 29(6): 1395-1408.
doi:10.1109/ TFUZZ.2020.2975152.

A layered-coevolution-based attribute-boosted reduction using adaptive quantum behavior PSO and its consistent segmentation for neonates brain tissue.
Weiping Ding, Chin-Teng Lin, Mukesh Prasad, Zehong Cao, and Jiandong Wang.
IEEE Transactions on Fuzzy Systems, 2018, 26 (3): 1177-1191.
doi:10.1109/TFUZZ.2017.2717381.

Multimodal Infant Brain Segmentation by Fuzzy-informed Deep Learning
Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, and Witold Pedrycz.
IEEE Transactions on Fuzzy Systems,
doi:10.1109/TFUZZ. 2021.3052461.

Multiple relevant feature ensemble selection based on multilayer co-evolutionary consensus MapReduce.
Weiping Ding, Chin-Teng Lin, and Witold Pedrycz.
IEEE Transactions on Cybernetics, 2020, 50(2): 425-439.
doi:10.1109/TCYB.2018. 2859342.

Shared nearest neighbor quantum game-based attribute reduction with hierarchical co-evolutionary Spark and its consistent segmentation application in neonatal cerebral cortical surfaces.
Weiping Ding,Chin-Teng Lin, and Zehong Cao.
IEEE Transactions on Neural Networks and Learning Systems, 2019, 30 (7): 2013-2027.
doi:10.1109/TNNLS.2018.2872974.

An Unsupervised Fuzzy Clustering Approach for Early Screening of COVID-19 from Radiological Images.
Weiping Ding,Shouvik Chakraborty, Kalyani Mali, Sankhadeep Chatterjee, Janmenjoy Nayak, Asit Kumar Das and Soumen Banerjee.
IEEE Transactions on Fuzzy Systems,
doi:10.1109/TFUZZ.2021.3097806.

Deep neuro-cognitive co-evolution for fuzzy attribute reduction by quantum leaping PSO with nearest-neighbor memeplexes
Weiping Ding, Chin-Teng Lin, and Zehong Cao.
IEEE Transactions on Cybernetics, 2019, 49(7): 2744-2757.
doi:10.1109/TCYB.2018.2834390. (Highly Cited Paper)

Attribute equilibrium dominance reduction accelerator (DCCAEDR) based on distributed co-evolutionary cloud and its application in medical records.
Weiping Ding,Chin-Teng Lin, Mukesh Prasad, Senbo Chen, and Zhijin Guan.
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2016, 46(3): 384-400.
doi:10.1109/ TSMC.2015.2464787.

Fuzzy and Real Coded Chemical Reaction Optimization for Intrusion Detection in Industrial Big Data Environment.
Weiping Ding, Janmenjoy Nayak, Bighnaraj Naik, Danilo Pelusi, and Manohar Mishra.
IEEE Transactions on Industrial Informatics, 2021,17(6): 4298-4307.
doi: 10.1109/ TII.2020.3007419.

Smart Supervision of Cardiomyopathy based on Fuzzy Harris Hawks Optimizer and Wearable Sensing Data Optimization: A New Model.
Weiping Ding, Mohamed Abdel-Basset, Khalid A.Eldrandaly, Laila Abdel-Fatah, and Victor Hugo C. de Albuquerque.
IEEE Transactions on Cybernetics, 2021,51(10): 4944-4958.
doi: 10.1109/TCYB.2020.3000440.

Co-evolutionary Fuzzy Attribute Order Reduction and Classification Learning with Complete Attribute-value Space Tree
Weiping Ding,Isaac Triguero, and Chin-Teng Lin.
IEEE Transactions on Emerging Topics in Computational Intelligence, 2021, 5(1): 130-142.
doi:10.1109/TETCI.2018. 2869919.

Special Issue on Emerging Computational Intelligence Techniques for Decision Making with Big Data in Uncertain Environments.
Weiping Ding,Nikhil R. Pal, Chin-Teng Lin, Yiu-ming Cheung, Zehong Cao, Wenjian Luo.
IEEE Transactions on Emerging Topics in Computational Intelligence, 2021, 5(1): 2-5.
doi: 10.1109/ TETCI.2021.3049701.

A Generalized Deep Neural Network Approach for Digital Watermarking Analysis.
Weiping Ding,Yurui Ming, Zehong Cao, and Chin-Teng Lin.
IEEE Transactions on Emerging Topics in Computational Intelligence,2022,6(3): 613-627.
doi: 10.1109/TETCI. 2021. 3055520.

Evolutionary Computation Meets Deep Learning.
Weiping Ding, Witold Pedrycz, Gary G. Yen, Bing Xue.
IEEE Transactions on Evolutionary Computation, 2021, 25(5): 810-814.
doi:10.1109/TEVC. 2021. 3096336.

MT-nCov-Net: Multi-Task Deep Learning Framework for Efficient Diagnosis of COVID-19.
Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, Osama M. Elkomy.
IEEE Transactions on Cybernetics,
doi: 10.1109/TCYB. 2021.3123173.

Feature Selection Using Fuzzy Neighborhood Entropy-Based Uncertainty Measures for Fuzzy Neighborhood Multi-Granulation Rough Sets.
Lin Sun, Lanying Wang, Weiping Ding, Yuhua Qian, and Jiucheng Xu.
IEEE Transactions on Fuzzy Systems, 2021, 29(1): 19-33.
doi:10.1109/TFUZZ. 2020.2989098. (Highly Cited Paper)

Feature Selection with Missing Labels Using Multilabel Fuzzy Neighborhood Rough Sets and Maximum Relevance Minimum Redundancy
Lin Sun, Tengyu Yin, Weiping Ding, Yuhua Qian, and Jiucheng Xu.
IEEE Transactions on Fuzzy Systems, 2022, 30(5): 1197-1211.
doi:10.1109/TFUZZ.2021. 3053844.

A Majority Rule based Measure for Atanassov Type Intuitionistic Membership Grades in MCDM
Cuiping Cheng, Weiping Ding, Fuyuan Xiao, and Witold Pedrycz.
IEEE Transactions on Fuzzy Systems. 2022, 30(1): 121-132.
doi:10.1109/TFUZZ.2020.3033062.

ANCS: Automatic NXDomain Classification System based on Incremental Fuzzy Rough Sets Machine Learning
Liming Fang, Xinyu Yun, Changchun Yin,Weiping Ding, Lu Zhou, Zhe Liu, and Chunhua Su.
IEEE Transactions on Fuzzy Systems, 2021, 29 (4): 742-756.
doi:10.1109 /TFUZZ.2020. 296587.

A Novel Approach for Optimum-Path Forest Classification Using Fuzzy Logic
Renato W. R. de Souza, Joao V. C. de Oliveira, Leandro A. Passos, Weiping Ding, Joao P. Papa, and Victor Hugo C. de Albuquerque.
IEEE Transactions on Fuzzy Systems, 2020, 28 (12): 3076-3086.
doi: 10.1109/TFUZZ.2019.2949771.

Street View Text Recognition with Deep Learning for Scene Understanding in Intelligent Transportation Systems
Chongsheng Zhang, Weiping Ding, Guowen Peng, Feifei Fu, and Wei Wang.
IEEE Transactions on Intelligent Transportation Systems.
doi: 10.1109/TITS.2020. 3017632.

A New Design of Mamdani Complex Fuzzy Inference System for Multi-attribute Decision Making Problems
Ganeshsree Selvachandran, Shio Gai Quek, Luong Thi Hong Lan, Le Hoang Son, Nguyen Long Giang, Weiping Ding, Mohamed Abdel-Basset, and Victor Hugo C. de Albuquerque.
IEEE Transactions on Fuzzy Systems, 2021, 29 (4): 716-730.
doi:10.1109/TFUZZ. 2019.2961350 (Highly Cited Paper)

Blockchain Based Mobile Crowd Sensing in Industrial Systems
Junqin Huang, Linghe Kong, Hong-Ning Dai, Weiping Ding, Long Cheng, Guihai Chen, Xi Jin, and Peng Zeng.
IEEE Transactions on Industrial Informatics, 2020, 16(10): 6553-6563,
doi:10.1109/TII. 2019.2963728.

Fusing Fuzzy Monotonic Decision Trees
Jieting Wang, Yuhua Qian, Feijiang Li, Jiye Liang, and Weiping Ding.
IEEE Transactions on Fuzzy Systems, 2020, 28 (5): 887-900.
doi: 10.1109/ TFUZZ.2019.2953024.

An Efficient and Scalable Simulation Model for Autonomous Vehicles with Economical Hardware
Muhammad Sajjad, Irfan Tahir, Khan Muhammad, Javier Del Ser, Javier Sanchez-Medina, Sergey Andreev, Weiping Ding, and Jong Weon Lee.
IEEE Transactions on Intelligent Transportation Systems, 2021, 22(3): 1718-1732.
doi: 10.1109/TITS.2020.2980855.

Identifying Ketamine Responses in Treatment-Resistant Depression Using a Wearable Forehead EEG
Zehong Cao, Chin-Teng Lin, Weiping Ding, Mu-Hong Chen, Cheng-Ta Li, and Tung-Ping Su.
IEEE Transactions on Biomedical Engineering, 2019, 66(6): 1668-1679.
doi:10.1109/TBME.2018.2877651.

Soft-boosted self-constructing neural fuzzy inference network
Mukesh Prasad, Chin-Teng Lin, Dong-Lin Li, Chao-Tien Hong, Weiping Ding, and Jyh-Yeong Chang.
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017, 47(3): 584-588.
doi:10.1109/TSMC.2015.

Robust Image Hashing Based Efficient Authentication for Smart Industrial Environment
Muhammad Sajjad , Ijaz Ul Haq , Jaime Lloret, Weiping Ding, and Khan Muhammad.
IEEE Transactions on Industrial Informatics, 2019,15(12): 6541-6550.
doi: 10.1109/TII.2019. 2921652

A Matrix Determinant Feature Extraction Approach for Decoding Motor and Mental Imagery EEG in Subject Specific Tasks
Muhammad Tariq Sadiq, Xiaojun Yu, Zhaohui Yuan, Muhammad Zulkifal Aziz, Siuly Siuly and Weiping Ding.
IEEE Transactions on Cognitive and Developmental Systems,
doi:10.1109/TCDS.2020.3040438.

Evolutionary Deep Fusion Method and Its Application in Chemical Structure Recognition
Xinyan Liang, Qian Guo, Yuhua Qian, Weiping Ding, and Qingfu Zhang.
IEEE Transactions on Evolutionary Computation, 2021,25(5): 883-893.
doi: 10.1109/ TEVC. 2021.3064943

Consensus learning for distributed fuzzy neural network in big data environment
Ye Shi, Chin-Teng Lin, Yu-Cheng Chang, Weiping Ding, Yuhui Shi, and Xin Yao.
IEEE Transactions on Emerging Topics in Computational Intelligence, 2021, 5(1): 29-41.
doi: 10.1109/TETCI. 2020.2998919.

On the utility of Power Spectral Techniques with feature selection Techniques for Effective Mental Task Classification in Non-invasive BCI
Akshansh Gupta, Ramesh Kumar Agrawal, Jyoti Singh Kirar, Javier Andrew, Weiping Ding, Chin-Teng Lin, and Mukesh Prasad.
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 2021,51(5): 3080-3092.
doi: 10.1109/ TSMC.2019.2917599.

Large-Scale Malicious Software Classification with Fuzzified Features and Boosted Fuzzy Random Forest
Fang-Qi Li, Shi-Lin Wang, Alan Wee-Chung Liew, Weiping Ding, and Gong-Shen Liu.
IEEE Transactions on Fuzzy Systems. 2021, 29(11): 3205-3218.
doi: 10.1109/TFUZZ.2020. 3016023

High-Efficient Fuzzy Querying with HiveQL for Big Data Warehousing
Bo'zena Małysiak-Mrozek, Jadwiga Wieszok, Witold Pedrycz, Weiping Ding, and Dariusz Mrozek.
IEEE Transactions on Fuzzy Systems. 2022, 30(6): 1823-1837.
doi:10.1109/ TFUZZ. 2021.3069332.

A novel three-way decision model on utility theory in incomplete fuzzy decision systems
Jianming Zhan, Jin Ye, Weiping Ding, Peide Liu.
IEEE Transactions on Fuzzy Systems. 2022, 30(7): 2210-2216.
doi:10.1109/TFUZZ.2021.3078012.

CDE-GAN: Cooperative Dual Evolution Based Generative Adversarial Network
Shiming Chen, Wenjie Wang, Beihao Xia, Xinge You, Qinmu Peng, Zehong Cao, and Weiping Ding.
IEEE Transactions on Evolutionary Computation. 2021,25(5): 986-1000.
doi: 10.1109/TEVC.2021. 3068842. arXiv:2008. 09388v1 [cs.CV] 21 Aug 2020.

DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays
Michail Mamalakis, Andrew J. Swift, Bart Vorselaars, Surajit Ray, Simonne Weeks, Weiping Ding, Richard H. Clayton, Louise S. Mackenzie, Abhirup Banerjee.
CoRR
doi: abs/2104.04006 (2021)

Explainable Fuzzy Utility Mining on Sequences
Wensheng Gan, Zilin Du, Weiping Ding, Chunkai Zhang, Han-Chieh Chao.
IEEE Transactions on Fuzzy Systems.
doi:10.1109/ TFUZZ.2021.3089284. CoRRabs/2103.16519 (2021).

Finger Vein Image Deblurring Using Neighbors-based Binary-GAN (NB-GAN)
Jing He, Lei Shen, Yudong Yao, Huaxia Wang, Member, Guodong Zhao, Xiaowei Gu, and Weiping Ding.
IEEE Transactions on Emerging Topics in Computational Intelligence,
doi: 10.1109/TETCI. 2021.3097734.

A Spectral Feature Selection Approach with Kernelized Fuzzy Rough Sets
Jinkun Chen, Yaojin Lin, Jusheng Mi, Shaozi Li, and Weiping Ding.
IEEE Transactions on Fuzzy Systems,
doi: 10.1109/TFUZZ.2021.3096212.

Towards the Development of Versatile Brain-Computer Interfaces
Muhammad Tariq Sadiq, Xiaojun Yu, Zhaohui Yuan, Muhammad Zulkifal Aziz, Siuly Siuly and Weiping Ding.
IEEE Transactions on Artificial Intelligence, 2021, 2(4): 314-328.
doi:10.1109/ TAI.2021.3097307.

Feature selection with fuzzy-rough minimum classification error criterion
Changzhong Wang, Yuhua Qian, Weiping Ding, Xiaodong Fan.
IEEE Transactions on Fuzzy Systems,
doi: 10.1109/TFUZZ.2021.3097811.

Character-level Street View Text Spotting Based on Deep Multi-Segmentation Network for Safer and Smarter Autonomous Driving
Chongsheng Zhang, Yuefeng Tao, Kai Du, Weiping Ding, Bin Wang, Ji Liu, and Wei Wang.
IEEE Transactions on Artificial Intelligence, 2022, 3(2): 297-308.
doi: 10.1109/TAI.2021.3116216.

Human Inertial Thinking Strategy: A Novel Fuzzy Reasoning Mechanism for IoT-Assisted Visual Monitoring
Shuai Liu, Shuai Wang, Xinyu Liu, Jianhua Dai, Khan Muhammad, Amir H. Gandomi, Weiping Ding, Mohammad Hijji, Victor Hugo C.de Albuquerque.
IEEE Internet of Things Journal,
doi: 10.1109/JIOT.2022.3142115

Motor Imagery BCI Classification Based on Multivariate Variational Mode Decomposition
Muhammad Tariq Sadiq, Xiaojun Yu, Zhaohui Yuan, Muhammad Zulkifal Aziz, Naveed ur Rehman , Weiping Ding, Gaoxi Xiao.
IEEE Transactions on Emerging Topics in Computational Intelligence.
doi: 10.1109/TETCI.2022.3147030

Collective Entity Alignment for Knowledge Fusion of Power Grid Dispatching Knowledge Graphs
Linyao Yang, Chen Lv, Xiao Wang, Ji Qiao, Weiping Ding, Jun Zhang, and Fei-Yue Wang.
IEEE/CAA Journal of Automatica Sinica. Accepted and to be appeared

Belief combination of classifiers for incomplete data
Zuowei Zhang, Songtao Ye, Yiru Zhang, Weiping Ding, and Hao Wang.
IEEE/CAA Journal of Automatica Sinica, 2022, 9(4): 652-667.
doi: 10.1109/JAS.2022.105458.

DNS Rebinding Threat Modelling and Security Analysis for Local Area Network of Maritime Transportation Systems
Xudong He, Jian Wang, Jiqiang Liu, Weiping Ding, Zhen Han, Bin Wang, Jamel Nebhen, Wei Wang.
IEEE Transactions on Intelligent Transportation Systems (T-ITS),
doi:10.1109/TITS.2021.3135197.

Large-Scale Group Decision Making: A Systematic Review and a Critical Analysis
Diego García-Zamora, Alvaro Labella, Weiping Ding, Rosa M. Rodríguez, Luis Martínez López.
IEEE/CAA Journal of Automatica Sinica, 2022, 9(6): 949-966.
doi: 10.1109/JAS.2022.105617.

GNDAN: Graph Navigated Dual Attention Network for Zero-Shot Learning
Shiming Chen, Ziming Hong, Guosen Xie, Qinmu Peng, Xinge You, Weiping Ding, and Ling Shao.
IEEE Transactions on Neural Networks and Learning Systems,
doi:10.1109/TNNLS.2022.3155602

Online Intrusion Detection for IoT Systems with Full Bayesian Possibilistic Clustering and Ensembled Fuzzy Classifiers
Fang-Qi Li, Rui-Jie Zhao, Shi-Lin Wang, Li-Bo Chen, Alan Wee-Chung Liew, Weiping Ding.
IEEE Transactions on Fuzzy Systems,
doi:10.1109/TFUZZ.2022.3165390

Amer: A New Attribute-Missing Network Embedding Approach
Di Jin, Tao Wang, Rui Wang, Dongxiao He, Weiping Ding, Yuxiao Huang, Longbiao Wang, Witold Pedrycz.
IEEE Transactions on Cybernetics,
doi:10.1109/TCYB.2022.3166539

An Emerging Fuzzy Feature Selection Method Using Composite Entropy-Based Uncertainty Measure and Data Distribution
Weihua Xu, Kehua Yuan, Wentao Li, Weiping Ding.
IEEE Transactions on Emerging Topics in Computational Intelligence,
doi: 10.1109/TETCI.2022. 3171784

Fuzzy mutual information-based multi-label feature selection with label dependency and streaming labels
Jinghua Liu, Yaojin Lin, Weiping Ding, Hongbo Zhang, and Jixiang Du.
IEEE Transactions on Fuzzy Systems,
doi:10.1109/TFUZZ.2022.3182441

Intrusion Detection for Maritime Transportation Systems with Batch Federated Aggregation
Wentao Liu, Xiaolong Xu, Lianxiang Wu, Lianyong Qi, Alireza Jolfaei, Weiping Ding, Mohammad R. Khosravi.
IEEE Transactions on Intelligent Transportation Systems,
doi:10.1109/TITS. 2022.3181436

Generalized Interval Type II Fuzzy Rough Model Based Feature Discretization Oriented to Mixed Pixels
Qiong Chen, Weiping Ding, Xiaomeng Huang, and Hao Wang.
IEEE Transactions on Fuzzy Systems,
doi:10.1109/TFUZZ.2022.3190625.

Cyberbullying and Cyberviolence Detection: A Triangular User-Activity-Content View
Shuwen Wang, Xingquan Zhu, Weiping Ding, Amir Alipour. Yengejeh.
IEEE/CAA Journal of Automatica Sinica,
doi: 10.1109/JAS.2022.105740.

A Quantum Tanimoto Coefficient Fidelity for Entanglement Measurement
Yangyang Zhao, Fuyuan Xiao, Masayoshi Aritsugi,Weiping Ding.
IEEE/CAA Journal of Automatica Sinica, 2023,10(2) 439-450.
doi:10.1109/JAS.2022.106079

Three-way Behavioral Decision Making with Hesitant Fuzzy Information Systems：Survey and Challenges
Jianming Zhan, Jiajia Wang,Weiping Ding,Yiyu Yao.
IEEE/CAA Journal of Automatica Sinica, 2023, 10(2): 330-350.
doi: 10.1109/JAS.2022.106061

A Novel Dynamic Fusion Approach Using Information Entropy for Interval-Valued Ordered Datasets
Weihua Xu, Yanzhou Pan, Xiuwei Chen,Weiping Ding,Yuhua Qian.
IEEE Transactions on Big Data, doi 10.1109/TBDATA.2022.3215494

DenseHashNet: A Novel Deep Hashing for Medical Image Retrieval
Chuansheng Liu,Weiping Ding,Chun Cheng, Cheng Tang, Jiashuang Huang , and Haipeng Wang.
IEEE Journal of Radio Frequency Identification,
doi:10.1109/JRFID.2022.3209986

Two-way Concept-cognitive Learning Method: A Fuzzy-based Progressive Learning
Weihua Xu, Doudou Guo, Yuhua Qian,Weiping Ding.
IEEE Transactions on Fuzzy Systems, 2023,31（6):1885-1899. doi 10.1109/TFUZZ.2022.3216110

Learning Lightweight Dynamic Kernels with Attention Inside via Local and Global Fusion
Yonglin Tian, Yu Shen, Xiao Wang, Jiangong Wang, Kunfeng Wang,Weiping Ding,Zilei Wang, and Fei-Yue Wang.
IEEE Transactions on Neural Networks and Learning Systems, Accepted and to be appeared

Feature Selection Approach Based on Improved Fuzzy C-Means with Principle of Refined Justifiable Granularity
Wentao Li, Shichao Zhai, Weihua Xu, Witold Pedrycz,Yuhua Qian,Weiping Ding,and Tao Zhan.
IEEE Transactions on Fuzzy Systems,
doi: 10.1109/TFUZZ.2022. 3217377

Partial Multilabel Learning Using Fuzzy Neighbourhood-Based Ball Clustering and Kernel Extreme Learning Machine
Lin Sun, Tianxiang Wang,Weiping Ding,and Jiucheng Xu.
IEEE Transactions on Fuzzy Systems,
doi:10.1109/TFUZZ.2022.3222941

Possibilistic Neighborhood Graph: A New Concept of Similarity Graph Learning
Can Gao, Yangbo Wang, Jie Zhou,Weiping Ding,Linlin Shen, Zhihui Lai.
IEEE Transactions on Emerging Topics in Computational Intelligence,
doi:10.1109/TETCI.2022.3225173

Multi-label Feature Selection via Label Enhancement and Analytic Hierarchy Process
Jintao Huang, Wenbin Qian, Chi-Man Vong,Weiping Ding,Linlin Shen, Zhihui Lai.
IEEE Transactions on Emerging Topics in Computational Intelligence,
doi:10.1109/TETCI. 2022.3231655

A novel approach to two-way concept-cognitive learning via concept movement viewpoint
Weihua Xu, Doudou Guo, Jusheng Mi, Yuhua Qian,Weiping Ding.
IEEE Transactions on Neural Networks and Learning Systems,
doi:10.1109/TNNLS.2023.3235800

Deep Hyperspherical Clustering for Skin Lesion Medical Image Segmentation
Zuowei Zhang, Songtao Ye, Zechao Liu, Hao Wang,Weiping Ding.
IEEE Journal of Biomedical and Health Informatics,2023,27(8): 3770-3381.
doi:10.1109/JBHI.2023.3240297

DM-Fusion: Deep Model-driven Network for Heterogeneous Image Fusion
Guoxia Xu, Chunming He, Hao Wang, Hu Zhu,Weiping Ding.
IEEE Transactions on Neural Networks and Learning Systems,
doi:10.1109/TNNLS.2023.3238511

Generalizable Segmentation of COVID-19 Infection from Multi-Site Tomography Scans: A Federated Learning Framework
Weiping DingMohamed Abdel-Basset, Hossam Hawash, Mahardhika Pratama and Witold Pedrycz.
IEEE Transactions on Emerging Topics in Computational Intelligence, 2024,8(1): 126-139.
doi:10.1109/TETCI.2023.3245103

Multi-scale Attention Generative Adversarial Network for Medical Image Enhancement
Guojin Zhong,Weiping Ding,Long Chen, Guoxia Xu, and Yu-Feng Yu.
IEEE Transactions on Emerging Topics in Computational Intelligence,2023, 7(4): 1113-1125.
doi:10.1109/TETCI. 2023.3243920

A Variation-Aware Quantum Circuit Mapping Approach Based on Multi-agent Cooperation
Pengcheng Zhu,Weiping Ding,Lihua Wei, Shiguang Feng, Xueyun Cheng, Zhijin Guan.
IEEE Transactions on Computers,
doi:10.1109/TC.2023.3242208

Internet of Behaviors: A Survey
Jiayi Sun, Wensheng Gan, Han-Chieh Chao, Philip S. Yu,Weiping Ding.
IEEE Internet of Things Journal,2023, 10(13): 11117-11134. doi 10.1109/JIOT.2023.3247594

Machine Learning with data assimilation and uncertainty quantification for dynamical systems
Sibo Cheng, Cesar Quilodr´an-Casas, Said Ouala, Alban Farchi, Che Liu, Pierre Tandeo, ´Ronan Fablet senior member, IEEE, Didier Lucor, Bertrand Iooss, Julien Brajard, Dunhui Xiao, Tijana Pfander,Weiping Ding,Yike Guo, Alberto Carrassi, Marc Bocquet, Rossella Arcucci.
IEEE/CAA Journal of Automatica Sinica,2023,10(6):1361-1387.
doi:10.1109/JAS.2023. 123537

Guest Editorial: Special Section on Developing Resilient Supply Chains in a Post-COVID Pandemic Era: Application of Artificial Intelligent Technologies for Emerging Industry 5.0
Ripon K. Chakrabortty, Mohammad Humyun Fuad Rahman,Weiping Ding.
IEEE Transactions on Industrial Informatics,2023, 19(3): 3296-3299.
doi: 10.1109/TII.2023.3246645

Effective value analysis of fuzzy similarity relation in HQSS for efficient granulation
Qinghua Zhang, Fan Zhao, Yunlong Cheng, Man Gao, Guoyin Wang, Shuyin Xia,Weiping Ding.
IEEE Transactions on Neural Networks and Learning Systems,
doi: 10.1109/TNNLS.2023.3265310

FedTP: Federated Learning by Transformer Personalization
Zhongyi Cai, Jingya Wang, Jiangnan Tang,Weiping Ding,Chin-Teng Lin, and Ye Shi.
IEEE Transactions on Neural Networks and Learning Systems,
doi:10.1109/TNNLS.2023.3269062

Attacks against Cross-chain Systems and Defense Approaches: A Contemporary Survey
Li Duan,Yangyang Sun, Wei Ni,Weiping Ding,Jiqiang Liu, Wei Wang.
IEEE-CAA Journal of Automatica Sinica,Accepted and to be appeared

Parameter-Free Robust Ensemble Framework of Fuzzy Clustering
Zhaoyin Shi, Long Chen, Weiping Ding, Chuanbin Zhang, Yingxu Wang.
IEEE Transactions on Fuzzy Systems,2023, 31(12): 4205-4219.
doi: 10.1109/TFUZZ.2023.3277692

Qiong Chen, Liangru Xie, Lirong Zeng, Sining Jiang,Weiping Ding*, Xiaomeng Huang, and Hao Wang*.
IEEE Transactions on Intelligent Transportation Systems,
doi: 10.1109/TITS.2023.3285615

Attacks against Cross-chain Systems and Defense Approaches: A Contemporary Survey
Li Duan,Yangyang Sun, Wei Ni,Weiping Ding, Jiqiang Liu, Wei Wang.
IEEE-CAA Journal of Automatica Sinica,Accepted and to be appeared

Support Matrix Machine via Joint l2,1 and Nuclear Norm Minimization Under Matrix completion Framework for Classification of Corrupted Data
Imran Razzak, Reda Bouadjenk, Brij B. Gupta, ,Weiping Ding.
IEEE Transactions on Neural Network and Learning System,
doi: 10.1109/TNNLS.2023.3293888

MG-GCN: Multi-granule graph convolution neural network for multi-label classification
Bin Yu, Hengjie Xie, Mingjie Cai,Weiping Ding.
IEEE Transactions on Emerging Topics in Computational Intelligence,2024,8(1): 288-299.
doi: 10.1109/TETCI.2023.3300303

Multi-label Feature Selection via Positive or Negative Correlation
Yaojin Lin, Zhuoxin He, Guo Lei, XueGang Hu,Weiping Ding.
IEEE Transactions on Emerging Topics in Computational Intelligence,2024,8(1): 401-415.
doi: 10.1109/TETCI.2023.3302653

Long-term time series forecasting with multi-linear trend fuzzy information granules for LSTM in a periodic framework
Chenglong Zhu, Xueling Ma,Weiping Ding, Jianming Zhan.
IEEE Transactions on Fuzzy Systems,2024,32(1):322-336.
doi: 10.1109/TFUZZ.2023.3298970

Fuzzy Rough Sets-Based Incremental Feature Selection for Hierarchical Classification
Wanli Huang, Yanhong She, Xiaoli He,,Weiping Ding.
IEEE Transactions on Fuzzy Systems,2023, 31(10): 3721-3733.
doi: 10.1109/TFUZZ.2023.3300913

Sparse mutual granularity based feature selection and its application of schizophrenia patients
Hengrong Ju, Tan Yin, Jiashuang Huang,Weiping Ding, Xibei Yang.
IEEE Transactions on Emerging Topics in Computational Intelligence,
doi: 10.1109/TETCI.2023.3314548

EGANS: Evolutionary Generative Adversarial Network Search for Zero-Shot Learning
Shiming Chen, Shuhuang Chen, Wenjin Hou, Weiping Ding, and Xinge You.
IEEE Transactions on Evolutionary Computation,
doi: 10.1109/TEVC.2023.3307245

GIFTWD: A prospect theory-based generalized intuitionistic fuzzy three-way decision model
Jianhua Dai, Tao Chen, Kai Zhang, Dun Liu, Weiping Ding.
IEEE Transactions on Fuzzy Systems,
doi: 10.1109/TFUZZ.2023.3311624

UnbiasNet: Vehicle Re-Identification Oriented Unbiased Feature Enhancement by Using Causal Effect
Junhao Huang,Yuhui Deng, Ke Wang, Zhangwei Li, Zhimin Tang,Weiping Ding.
IEEE Transactions on Intelligent Transportation Systems,2024,25(4): 1925-1937.
doi: 10.1109/TITS.2023.3317294

LGABL: UHD Multi-Exposure Image Fusion via Local and Global Aware Bilateral Learning
Di Wang, Zhuoran Zheng,,Weiping Ding, Xiuyi Jia.
IEEE Transactions on Emerging Topics in Computational Intelligence,
doi: 10.1109/TETCI.2023.3327397

GBRS: A Unified Granular-ball Learning Model of Pawlak Rough Set and Neighborhood Rough Set
Shuyin Xia, Cheng Wang, Guoyin Wang,Weiping Ding, Xinbo Gao, Jianhang Yu, Yujia Zhai, Zizhong Chen.
IEEE Transactions on Neural Networks and Learning Systems,
doi: 10.1109/TNNLS.2023.3325199

MTCAM: A Novel Weakly-supervised Audio-visual Saliency Prediction Model with Multi-modal Transformer
Dandan Zhu, Kun Zhu,Weiping Ding,Nana Zhang, Xiongkuo Min, Guangtao Zhai, Xiaokang Yang.
IEEE Transactions on Emerging Topics in Computational Intelligence,
doi: 10.1109/TETCI.2024.3358184

Robust Correlation Filter Learning with Continuously Weighted Dynamic Response for UAV Visual Tracking
Yang Zhang, Yu-Feng Yu, Long Chen,Weiping Ding.
IEEE Trans. on Geoscience and Remote Sensing,2023, 61: 4705814.
doi: 10.1109/TGRS.2023.3325337

Fuzzy-granular Concept-cognitive Learning via Three-way Decision: Performance Evaluation on Dynamic Knowledge Discovery
Doudou Guo, Weihua Xu, Yuhua Qian,Weiping Ding.
IEEE TFS Transactions on Fuzzy Systems,2024, 32(3)：1409-1423.
doi: 10.1109/TFUZZ. 2023.3325952

Multi-Granularity Random Walk Transformer Model For Interpretable Learning
Weiping Ding, Yu Geng, Jiashuang Huang, Hengrong Ju, Haipeng Wang, Chin-Teng Lin.
IEEE Transactions on Neural Networks and Learning Systems,
doi: 10.1109/TNNLS.2023. 3326283

Low-ranked multi-label learning based on nonlinear mapping
Changzhong Wang,Yan Wang, Tingquan Deng,Weiping Ding,Yuhua Qian.
IEEE Transactions on Artificial Intelligence,
doi: 10.1109/TAI.2023.3329079

Spectral Cross-Domain Neural Network with Soft-adaptive Threshold Spectral Enhancement
Che Liu, Sibo Cheng, Weiping Ding, and Rossella Arcucci
IEEE Transactions on Neural Networks and Learning Systems,
doi: 10.1109/TNNLS.2023.3332217

SASAN: Shape-Adaptive Set Abstraction Network for Point-Voxel 3D Object Detection
Hui Zhang, Guiyang Luo, Xiao Wang, Yidong Li,Weiping Ding, and Fei-Yue Wang.
IEEE Transactions on Neural Networks and Learning Systems,
doi: 10.1109/TNNLS. 2023.3339889

Two-Stage Self-Supervised Contrastive Learning Aided Transformer for Real-Time Medical Image Segmentation
Abdul Qayyum, Imran Razzak, Moona Mazher, Tariq Khan,Weiping Ding, and Steven Niederer.
IEEE Journal of Biomedical and Health Informatics,
doi:10.1109 /JBHI.2023.3340956

ACF-Net: Asymmetric Cascade Fusion for 3D Detection with LiDAR Point Clouds and Images
Yonglin Tian, Xianjing Zhang, Xiao Wang, Jintao Xu, Jiangong Wang, Rui Ai, Weihao Gu,Weiping Ding.
IEEE Transactions on Intelligent Vehicles,
doi: 10.1109/TIV.2023.3341223

Discriminative Multi-view Fusion via Adaptive Regression
Xinjie Zhu, Yan Zhong, Zidong Wang, Weiguo Sheng, Weiping Ding, Bingbing Jiang.
IEEE Transactions on Emerging Topics in Computational Intelligence,
doi: 10.1109/TETCI.2024.3375342

ViTH-RFG: Vision Transformer Hashing with Residual Fuzzy Generation for Targeted Attack in Medical Image Retrieval
Weiping Ding, Chuansheng Liu, Jiashuang Huang, Chun Cheng, and Hengrong Ju.
IEEE Transactions on Fuzzy Systems,
doi: 10.1109/TFUZZ.2023.3343352

Entity-Relation Extraction as Full Shallow Semantic Dependency Parsing
Shu Jiang, Zuchao Li, Hai Zhao,Weiping Ding.
IEEE Transactions on Audio, Speech, and Language Processing,
doi: 10.1109/TASLP.2024.3350905

An Adaptive Heterogeneous Credit Card Fraud Detection Model Based on Deep Reinforcement Training Subset Selection
Kun Zhu, Nana Zhang,Weiping Ding, and Changjun Jiang
IEEE Transactions on Artificial Intelligence,
doi: 10.1109/TAI.2024.3359568

Dendritic neural network: a novel extension of dendritic neuron model
Cheng Tang, Junkai Ji, Yuki Todo, Weiping Ding, Sachiko Kodera, and Akimasa Hirata.
IEEE Transactions on Emerging Topics in Computational Intelligence,
doi: 10.1109/TETCI.2024. 3367819

GBG++: A Fast and Stable Granular Ball Generation Method for Classification
Qin Xie, Qinghua Zhang, Chengying Wu, Shuyin Xia, Guoyin Wang, and Weiping Ding.
IEEE Transactions on Emerging Topics in Computational Intelligence,
doi: 10.1109/TETCI.2024.3359091

A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends
M.Victoria Luzón, Nuria Rodríguez-Barroso, Alberto Argente-Garrido, Daniel Jiménez López, Jose M. Moyano, Javier Del Ser,Weiping Ding, Francisco Herrera.
IEEE/CAA Journal of Automatica Sinica,2024,
doi: 10.1109/JAS.2024.124215

A Statistical Physics Perspective: Understanding the Causality Behind Convolutional Neural Network Adversarial Vulnerability
Ke Wang, Mingjia Zhu, Zicong Chen, Jian Weng, Ming Li, Siu-Ming Yiu, Weiping Ding,Tianlong Gu.
IEEE Transactions on Neural Networks and Learning Systems,
doi: 10.1109/TNNLS.2024.3359269

Graph Structure Enhanced Pre-training Language Model for Knowledge Graph Completion
Huashi Zhu, Dexuan Xu, Yu Huang, Zhi Jin, Weiping Ding, Jiahui Tong, Guoshuang Chong.
IEEE Transactions on Emerging Topics in Computational Intelligence,
doi: 10.1109/TETCI. 2024.3372442

OCI-SSL: Open Class-Imbalanced Semi-Supervised Learning with Contrastive Learning
Yuting Zhou, Can Gao, Jie Zhou, Weiping Ding, Linlin Shen, and Zhihui Lai.
IEEE Transactions on Emerging Topics in Computational Intelligence,
doi: 10.1109/TETCI.2024.3372436

IFCRL:Interval-intent Fuzzy Concept Re-cognition Learning
Yi Ding, Weihua Xu,Weiping Ding, Yuhua Qian.
IEEE Transactions on Fuzzy Systems,
doi: 10.1109/TFUZZ.2024. 3376569

CSTS: Exploring Class-specific and Task-shared Embedding Representation for Few-shot Learning
Hong Zhao, Yuling Su, Zhiping Wu,Weiping Ding.
IEEE Transactions on Neural Networks and Learning Systems,
doi: 10.1109/TNNLS.2024.3380833

Assessing Membership Leakages via Task-Aligned Divergent Shadow Datasets in Vehicular Road Cooperation
Pengrui Liu, Wei Wang, Xiangrui Xu, Hanxi Li,Weiping Ding.
IEEE Internet of Things Journal,
doi: 10.1109/JIOT.2024.3380642

From Discrete Representation to Continuous Modeling: A Novel Audio-visual Saliency Prediction Model with Implicit Neural Representations
Dandan Zhu, Kun Zhu,Weiping Ding, Nana Zhang, Kaiwei Zhang, Jiabao Zhao, Guangtao Zhai, Xiaokang Yang.
IEEE Transactions on Emerging Topics in Computational Intelligence,
doi: 10.1109/TETCI.2024.3386619

BiFuG2-Spark: Bi-directional Fuzzy Granular-Cabin Parallel Attribute Reduction Accelerator with Granular-Group Collaboration
Hengrong Ju, Tingting Shan, Weiping Ding, Keyu Liu, Muhammad Jabir Khan, Jiashuang Huang, and Xibei Yang.
IEEE Transactions on Fuzzy Systems, 2024, 32(8): 4234-4247.
doi: 10.1109/TFUZZ.2024.3392328.

IFKMHC: Implicit Fuzzy K-Means Model for High-Dimensional Data Clustering
Zhaoyin Shi, Long Chen, Weiping Ding, Guang-yong Chen, Chuanbin Zhang, Yingxu Wang, and C. L. Philip Chen.
IEEE Transactions on Cybernetics
doi: 10.1109/TCYB.2024.3391274.

Recent Advances and New Frontiers,” IEEE Transactions on Neural Networks and Learning Systems
Dongyuan Li, Zhen Wang, Yankai Chen, Weiping Ding, and Manabu Okumura.
IEEE Transactions on Neural Networks and Learning Systems
doi: 10.1109/TNNLS.2024.3396463.

FCPFS: Fuzzy Granular Ball Clustering-Based Partial Multilabel Feature Selection with Fuzzy Mutual Information
Lin Sun, Tianxiang Wang, Weiping Ding, Yuhua Qian, and Jiucheng Xu.
IEEE Transactions on Emerging Topics in Computational Intelligence
doi: 10.1109/TETCI.2024.3399665.

FTransCNN: Fusing Transformer and a CNN based on Fuzzy Logic for Uncertain Medical Image Segmentation
Weiping Ding, Haipeng Wang, Jiashuang Huang, Hengrong Ju, Yu Geng, Chin-Teng Lin, and Witold Pedrycz.
Information Fusion, 99 (2023) 101880.
doi: https://doi.org/10.1016/j.inffus.2023.101880

RCAR-UNet: Retinal Vessel Segmentation Network Algorithm via Novel Rough Attention Mechanism
Weiping DingYing Sun, Jiashuang Huang, Hengrong Ju, Chongsheng Zhang, Guang Yang, and Chin-Teng Lin
Information Sciences,657 (2024) 120007.
doi: https://doi.org/10.1016 /j.ins.2023.120007

DeepSecDrive: An Explainable Deep Learning Framework for Real-Time Detection of Cyberattack in In-Vehicle Networks
Weiping Ding,Ibrahim Alrashdi, Hossam Hawash and Mohamed Abdel-Basset.
Information Sciences,658 (2024) 120057.
doi: https://doi.org/10.1016/j.ins.2023.120057

A Distributed Attribute Reduction based on Neighborhood Evidential Conflict Rate with Apache Spark
Yuepeng Chen, Weiping Ding, Hengrong Ju, Jiashuagn Huang, and Tao Yin.
Information Sciences, 668(2024): 120521.
doi: https://doi.org/10.1016/j.ins.2024.120521.

Pheromone-Guided Parallel Rough Hypercuboid Attribute Reduction
Weiping Ding, Hongcheng Yao, Hengrong Ju, Jiashuang Huang, Shu Jiang, and Yuepeng Chen.
Applied Soft Computing, 156(2024): 111479.
doi: https://doi.org/10.1016/j.asoc.2024.111479.

Concept-Cognitive Learning Survey: Mining and Fusing Knowledge from Data
Doudou Guo, Weihua Xua, Weiping Ding, Yiyu Yao, Xizhao Wang, and Witold Pedrycz.
Information Fusion, 109(2024): 102426.
doi: https://doi.org/10.1016/j.inffus.2024.102426.

Cross-Modal Zero-Sample Diagnosis Framework Utilizing Non-Contact Sensing Data Fusion
Sheng Li, Yadong Xu, Ke Feng, Yongbo Li, Ke Zhang, Yulin Wang, and Weiping Ding.
Information Fusion, 110(2024): 102453.
doi: https://doi.org/10.1016/j.inffus.2024.102453.

A Distributed State and Fault Estimation Scheme for State-Saturated Systems With Quantized Measurements Over Sensor Networks
Cong Huang, Serdar Coskun, Hamid Reza Karimi, and Weiping Ding.
Information Fusion, 110(2024): 102452.
doi: https://doi.org/10.1016 /j.inffus.2024.102452.

Incremental high average-utility itemset mining: survey and challenges
Jing Chen, Shengyi Yang, Weiping Ding, Peng Li, Aijun Liu, Hongjun Zhang, and Tian Li.
Scientific Reports, 14(2024): 9924.
doi: https://doi.org/10.1038/s41598-024-60279-0.

Robust Deep Fuzzy K-means Clustering for Image Data
Xiaoling Wu, Yu-Feng Yu, Long Chen, Weiping Ding, and Yingxu Wang.
Pattern Recognition, 153(2024): 110504.
doi: https://doi.org/10.1016/j.patcog.2024.110504.

GA–FCFNN: A new forecasting method combining feature selection methods and feedforward neural networks using genetic algorithms
Rongtao Zhang, Xueling Ma, Chao Zhang,Weiping Ding, Jianming Zhan.
Information Sciences,669 (2024) 120566.
doi: https://doi.org/10.1016/j.ins.2024.120566

A Comprehensive Survey of Imitation Learning from Demonstrations: Machine Learning Fusion with Dynamical System
Yingbai Hu, Fares J. Abu-Dakka, Fei Chen, Xiao Luo, Zheng Li, Alois Knoll ,Weiping Ding.
Information Fusion,108 (2024) 102379.
doi: https://doi.org/10.1016/j.inffus.2024.102379

Hierarchical Bottleneck for Heterogeneous Graph Representation
Yunfei He, Li Meng, Jian Ma, Yiwen Zhang, Qun Wu,Weiping Ding, Fei Yang.
Information Sciences,667 (2024) 120422.
doi: https://doi.org/10.1016/j.ins.2024.120422

Missing multi-label learning based on the fusion of two-level nonlinear mappings
Changzhong Wang, Yan Wang, Tingquan Deng,Weiping Ding.
Information Fusion,103 (2024) 102105.
doi: https://doi.org/10.1016/j.inffus.2023.102105

Contribution-Wise Byzantine-Robust Aggregation for Class-Balanced Federated Learning
Yanli Li,Weiping Ding, Huaming Chen, Wei Bao, Dong Yuan.
Information Sciences,667 (2024) 120475.
doi: https://doi.org/10.1016/j.ins.2024.120475

A Review of Cancer Data Fusion Methods Based on Deep Learning
Yuxin Zhao, Xiaobo Li, Changjun Zhou, Hao Peng, Jun Chen, Zhonglong Zheng,Weiping Ding.
Information Fusion.
doi: https://doi.org/10.1016/j.inffus.2024.102361

SFSLH: Sparse Feature Selection with Local Feature Correlation and High-order Label for Multilabel Learning
Lin Sun, Yuxuan Ma,Weiping Ding, Jiucheng Xu.
Applied Intelligence.
doi: https://doi.org/10.1007/s10489-023-05136-9

LSFSR: Local Label Correlation-Based Sparse Multilabel Feature Selection with Feature Redundancy
in Sun, Yuxuan Ma,Weiping Ding, Zhihao Lu, Jiucheng Xu.
Information Sciences.
doi: https://doi.org/10.1016/j.ins.2024.120501

Label Correlations-based Multi-label Feature Selection with Label Enhancement
Wenbin Qian, Yinsong Xiong,Weiping Ding, Jintao Huang and Chi-Man Vong
Engineering Applications of Artificial Intelligence127 (2024) 107310.
doi: https://doi.org/ 10.1016/j.engappai. 2023.107310

Solution of Wide and Micro Background Bias in Contrast Action Representation Learning
Shuai Liu, Yating Li, Yunhe Wang, Weina Fu, Weiping Ding.
Engineering Applications of Artificial Intelligence,133 (2024) 108244.
doi: https://doi.org/10.1016/j.engappai.2024.108244

Three-way evidence theory-based density peak clustering with the principle of justifiable granularity
Hengrong Ju, Yang Lu,Weiping Ding, Jinxin Cao, Xibei Yang.
Applied Soft Computing.
doi: https://doi.org/10.1016/j.asoc.2023.111217

Statistical Guarantees for Noisy Tensor Recovery by Fusing Low-rankness on All Orientations in Frequency-original Domains
Xiangrui Li, Dongxu Wei, Xiyuan Hu,Liming Zhang, Weiping Ding, Wen-Liang Hwang, Zhenmin Tang.
Information Fusion,106 (2024) 102262.
doi: doi: 10.1016/j.inffus. 2024.102262

Cascade & Allocate: A Cross-structure Adversarial Attack against Models Fusing Vision and Language
Boyuan Zhang, Yucheng Shi, Yahong Han, Qinghua Hu,Weiping Ding.
Information Fusion.
doi: https://doi.org/10.1016/j.inffus.2023.102179

Representation, optimization and generation of fuzzy measures
Gleb Beliakov, Jian-Zhang Wu, Weiping Ding.
Information Fusion.
doi: https://doi.org/10.1016/j.inffus.2024.102295

A clustering method based on multi-positive-negative granularity and attenuation-diffusion pattern
Bin Yu, Ruihui Xu, Mingjie Cai,Weiping Ding.
Information Fusion,103 (2024) 102137.
doi: https://doi.org/10.1016/j.inffus.2023.102137

Min-JoT: Multimodal infusion Joint Training for Noise Learning in Text and Multimodal Classification Problems
Bo Liu, Lejian He, Yuchen Xie, Yuejia Xiang, Li Zhu, Weiping Ding.
Information Fusion.
doi: https://doi.org/10.1016/j.inffus.2023.102071

An Electronic Medical Record Access Control Model Based on Intuitionistic Fuzzy Trust
Rong Jiang, Rui Liu, Tao Zhang,Weiping Ding, Shenghu Tian.
Information Sciences,658 (2024) 120054.
doi: https://doi.org/10.1016/j.ins.2023.120054

TAILOR: inTer-feAture distinctIon fiLter fusiOn pRuning
Xuming Han, Yali Chu, Ke Wang, Limin Wang, Lin Yue,Weiping Ding.
Information Sciences,665 (2024) 120229.
doi: https://doi.org/ 10.1016/j.ins.2024.120229

Next generation of Computer Vision for Plant Disease Monitoring in Precision Agriculture: A Contemporary Survey, Taxonomy, Experiments, and Future Direction
Weiping Ding, Mohamed Abdel-Basset, Ibrahim Alrashdi, and Hossam Hawash.
Information Sciences,665 (2024) 120338.
doi: https://doi.org/10.1016/j.ins.2024.120338

The Survey on Multi-Source Data Fusion in Cyber-Physical-Social Systems: Foundational Infrastructure for Industrial Metaverses and Industries 5.0
Xiao Wang, Yutong Wang, Jing Yang, Xiaofeng Jia, Lijun Li,Weiping Ding,Fei-Yue Wang.
Information Fusion,107 (2024) 102321.
doi: https://doi.org/10.1016/j.inffus.2024.102321

Few-Shot Object Detection: Research Advances and Challenges
Zhimeng Xin, Shiming Chen, Tianxu Wu, Yuanjie Shao,Weiping Ding, Xinge You
Information Fusion,107 (2024) 102307.
doi: https://doi.org/10.1016/j.inffus.2024.102307

VSDHS-CIEA: Color image encryption algorithm based on novel variable-structure discrete hyperchaotic system and cross-plane confusion strategy
Hangming Zhang, Hanping Hu,Weiping Ding.
Information Sciences,665 (2024) 120332.
doi: https://doi.org/10.1016/j.ins.2024.120332

FRCM: A fuzzy rough c-means clustering method
Bin Yu, Zijian Zheng, Mingjie Cai, Witold Pedrycz,Weiping Ding.
Fuzzy Sets and Systems.
doi: https://doi.org/10.1016/j.fss.2024.108860

Multimodal Graph Learning Based on 3D Haar Semi-Tight Framelet for Student Engagement Prediction
Ming Li, Xiaosheng Zhuang, Lu Bai,Weiping Ding.
Information Fusion,105 (2024) 102224.
doi: https://doi.org/10.1016/j.inffus.2024.102224

Residual Attention Enhanced Time-Varying Multi-Factor Graph Convolutional Network for Traffic Flow Prediction
Yinxin Bao, Qinqin Shen, Yang Cao, Weiping Ding, Quan Shi.
Engineering Applications of Artificial Intelligence,133 (2024) 108135.
doi: https://doi.org/ 10.1016/j.engappai.2024.108135

MBSSA-Bi-AESN: Classification prediction of bi-directional adaptive echo state network based on modified binary salp swarm algorithm and feature selection
Xunjin Wu, Jianming Zhan, Tianrui Li, Weiping Ding, Witold Pedrycz.
Applied Intelligence.
doi: https://doi.org/10.1007 /s10489-024-05280-w

Partial Multi-Label Learning via Robust Feature Selection and Relevance Fusion Optimization
Wenbin Qian, Yanqiang Tu, Jintao Huang,Weiping Ding.
Knowledge-Based Systems,286(7):111365.
doi: doi: 10.1016/j.knosys.2023.111365

Multigranulation fuzzy probabilistic rough sets induced by overlap functions and their applications
Nana Han, Junsheng Qiao, Tengbiao Li, Weiping Ding.
Fuzzy Sets and Systems.
doi: https://doi.org/10.1016/j.fss.2024.108893

Cervical Cancer Classification from Pap Smear Images using Deep Convolutional Neural Network Models
Sher Lyn Tan, Ganeshsree Selvachandran,Weiping Ding, Raveendran Paramesran & Ketan Kotecha.
Interdisciplinary Sciences: Computational Life Sciences.
doi: https://doi.org/10.1007/s12539-023-00589-5

Adaptive Fuzzy Multi-neighborhood Feature Selection with Hybrid Sampling and Its Application for Class-imbalanced Data
Lin Sun, Mengmeng Li, Weiping Ding, Jiucheng Xu.
Applied Soft Computing.
doi: https://doi.org/10.1016/j.asoc.2023.110968

Large group emergency decision-making with bi-directional trust in social networks: A probabilistic hesitant fuzzy integrated cloud approach
Jicun Jiang, Xiaodi Liu, Zengwen Wang,Weiping Ding, Shitao Zhang.
Information Fusion,102 (2024) 102062.
doi: https://doi.org/ 10.1016/j.inffus.2023.102062

Regret theory-based multivariate fusion prediction system and its application to interest rate estimation in multi-scale information systems
Xianfeng Huang, Jianming Zhan,Weiping Ding, Witold Pedrycz.
Information Fusion,99 (2023) 101860.
doi: https://doi.org/10.1016/j.inffus.2023.101860

MMIEA: Multi-modal Interaction Entity Alignment Model for Knowledge Graph
Bin Zhu, Meng Wu, Yunpeng Hong, Yi Chen, Bo Xie, Fei Liu, Chenyang Bu,Weiping Ding.
Information Fusion,100 (2023) 101935.
doi: https://doi.org/10.1016/j.inffus.2023.101935

Aspect-level Sentiment Analysis Based on Aspect-Sentence Graph Convolution Network
Wenqian Shang, Jiazhao Chai, Jianxiang Cao, Xia Lei, Haibin Zhu, Yongkai Fan, Weiping Ding.
Information Fusion,104 (2024) 102143.
doi: https://doi.org/10.1016/j.inffus.2023.102143

Multi-Label Feature Selection Based on Correlation Label Enhancement
Zhuoxin He, Yaojin Lin, Chenxi Wang, Lei Guo, Jinkun Chen,Weiping Ding.
Information Sciences,647(2023) 119526.
doi: https://doi.org/10.1016/j.ins.2023.119526

Optimization-based probabilistic decision support for assessing building information modelling maturity considering multiple objectives
Zhen-Song Chen, Zhuo-Ran Wang , Muhammet Deveci ,Weiping Ding, Witold Pedrycz, Miroslaw J. Skibniewski.
Information Fusion,102 (2024) 102026.
doi: https://doi.org/10.1016/j.inffus.2023.102026

Three-way clustering: Foundations, Survey and Challenges
Pingxin Wang, Xibei Yang,Weiping Ding, Jianmin Zhan, Yiyu Yao.
Applied Soft Computing,151 (2024) 111131.
doi: https://doi.org/10.1016/j.asoc.2023.111131

Mining and fusing unstructured online reviews and structured public index data for hospital selection
Huchang Liao, Jiaxin Qi, Jiawei Zhang, Chonghui Zhang, Fan Liu,Weiping Ding.
Information Fusion,103 (2024) 102142.
doi: https://doi.org/10.1016/j.inffus.2023.102142

SFSLH: Sparse Feature Selection via Local Feature and High-order Label Correlation
Lin Sun, Yuxuan Ma,Weiping Ding, Jiucheng Xu.
Applied Intelligence.
doi: https://doi.org/10.1007 /s10489-023-05136-9

CycMixer: A simplified and rapidly converging object detection network of query based on cycle mixing
Ya’nan Guan,Weiping Ding, Shujiao Liao, Wenyuan Yang.
Engineering Applications of Artificial Intelligence,127 (2024) 107220.
doi: https://doi.org/10.1016/ j.engappai.2023.107220

Three-Way Decisions based Conditional Probabilities by Opinion Scores and Bayesian Rules in Circular-Pythagorean Fuzzy Sets for Developing Sustainable Smart Living Framework
Hassan A. Alsattar, Sarah Qahtan, Nahia Mourad, A.A. Zaidan, Muhammet Deveci,Weiping Ding.
Information Sciences,649 (2023) 119681.
doi: https://doi.org/10.1016/j.ins.2023.119681

Toward assessment of human voice biomarkers of brain lesions through explainable deep learning
Benjamín Gutierrez-Serafín, Javier Andreu-Perez, Humberto Pérez-Espinosa, Silke Paulmann, Weiping Ding.
Biomedical Signal Processing and Control,87 (2024) 105457.
doi: https://doi.org/10.1016/j.bspc.2023.105457

Multi-label Feature Selection based on Rough Granular-Ball and Label Distribution
Wenbin Qian, Fankang Xua, Jin Qian, Wenhao Shu,Weiping Ding.
Information Sciences,650 (2023) 119698.
doi: https://doi.org/10.1016/j.ins.2023.119698

Latent Information-Guided One-Step Multi-View Fuzzy Clustering Based on Cross-View Anchor Graph
Chuanbin Zhang, Long Chen, Zhaoyin Shi,Weiping Ding.
Information Fusion,102 (2024) 102025.
doi: https://doi.org/10.1016/j.inffus.2023.102025

PI-ELM: Reinforcement Learning-based Adaptable Policy Improvement for Dynamical System
Yingbai Hu , Xu Wang , Yueyue Liu, Weiping Ding, Alois Knoll.
Information Sciences,650 (2023) 119700.
doi: https://doi.org/10.1016/j.ins.2023.119700

Survey on Deep Learning in Multimodal Medical Imaging for Cancer Detection
Yan Tian, Zhaocheng Xu, Yujun Ma,Weiping Ding,, Ruili Wang, Zhihong Gao, Guohua Cheng, Linyang He, Xuran Zhao.
Neural Computing and Applications.
doi: https://doi.org/10.1007/s00521-023-09214-4

Multiobjective Sparrow Search Feature Selection with Sparrow Ranking and Preference Information and Its Applications for High-Dimensional Data
Lin Sun, Shanshan Si,Weiping Ding, Xinya Wang, Jiucheng Xu.
Applied Soft Computing.
doi: https://doi.org/10.1016/j.asoc.2023.11083

A Survey on Fairness-aware Recommender Systems
Di Jin, Luzhi Wang, He Zhang, Yizhen Zheng,Weiping Ding, Feng Xia, Shirui Pan.
Information Fusion,100 (2023) 101906.
doi: https://doi.org/10.1016/j.inffus.2023.101906

Uncovering Hidden Vulnerabilities in Convolutional Neural Networks through Graph-based Adversarial Robustness Evaluation
Ke Wang, Zicong Chen, Xilin Dang, Xuan Fan, Xuming Han, Chien-Ming Chen,Weiping Ding,Siu-Ming Yiu.
Pattern Recognition,(2023).
doi: https://doi.org/10.1016/j.patcog.2023.109745

Assessor-guided learning for continual environments
Muhammad Anwar Ma’sum, Mahardhika Pratama, Edwin Lughofer,Weiping Ding,Wisnu Jatmiko.
Information Sciences,640 (2023) 119088.
doi: https://doi.org/10.1016/j.ins.2023.119088

Flexible Adaptive Graph Embedding for Semi-supervised Dimension Reduction
Hebing Nie, Qun Wu, Haifeng Zhao,Weiping Ding, Muhammet Devec.
Information Fusion.
doi: 10.1016/j.inffus.2023.101872

M-FCCL: Memory-based concept-cognitive learning for dynamic fuzzy data classification and knowledge fusion
Doudou Guo, Weihua Xu, Yuhua Qian, Weiping Ding.
Information Fusion.
doi: https://doi.org/10.1016/j.inffus.2023.101962

A Survey on Graph Embedding Techniques for Biomedical Data:Methods and Applications
Yaozu Wu, Yankai Chen, Zhishuai Yin,Weiping Ding, Irwin King.
Information Fusion,100 (2023) 101909.
doi: https://doi.org/10.1016/j.inffus.2023.101909

Multi-Objective Binary Grey Wolf Optimization for Feature Selection Based on Guided Mutation Strategy
Xiaobo Li, Qiyong Fu, Qi Li,Weiping Ding, Feilong Lin, Zhonglong Zheng.
Applied Soft Computing,145 (2023) 110558.
doi: https://doi.org/10.1016/j.asoc.2023.110558

Mining and Reasoning of Data Uncertainty-induced Imprecision in Deep Image Classification
Zuowei Zhang, Liangbo Ning, Zechao Liu, Qingyu Yang, Weiping Ding.
Information Fusion,96 (2023) 202–213.
doi: https://doi.org/10.1016/j.inffus. 2023.03.014

Information fusion for multi-scale data: Survey and challenges
Qinghua Zhang, Ying Yang, Yunlong Chen, Guoyin Wang, Weiping Ding, Weizhi Wu, Weizhi Danilo Pelusi.
Information Fusion,100 (2023) 101954,
doi: https://doi.org/10.1016/j.inffus.2023.101954

A Survey on Multi-label Feature Selection from Perspectives of Label Fusion
Wenbin Qian, Jintao Huang, Fankang Xu, Wenhao Shu,Weiping Ding.
Information Fusion,(2023).
doi: https://doi.org/10.1016/j.inffus.2023.101948

An Intelligent Decision Support System for Resilient-Reliable Supply Chain Network Design
Erfan Babaee Tirkolaee, Ali Ebadi Torkayesh, Madjid Tavana, Alireza Goli, Vladimir Simic,Weiping Ding.
Engineering Applications of Artificial Intelligence,126 (2023) 106945.
doi: https://doi.org/10.1016/j.engappai.2023.106945

Reward Shaping with Hierarchical Graph Topology
Jianghui Sang, Yongli Wang, Weiping Ding, Zaki Ahmad Khan, Lin Xu.
Pattern Recognition, 143 (2023) 109746.
doi: https://doi.org/10.1016/j.patcog.2023.109746

From corrective to predictive maintenance - a review of maintenance approaches for the power industry
Marek Moleda, Bożena Małysiak-Mrozek,Weiping Ding, Vaidy Sunderam, Dariusz Mrozek*.
Sensor,2023, 23, 5970.
doi: https://doi.org/10.3390/s23135970

A volunteer allocation optimization model in response to major natura disasters based on improved Dempster-Shafer theory
Pengyu Xue, Liguo Fei, Weiping Ding.
Expert Systems with Applications,236 (2024) 121285.
doi: https://doi.org/10.1016/j.eswa.2023.121285

Multi-level Correlation Mining Framework with Self-supervised Label Generation for Multimodal Sentiment Analysis,
Zuhe Li, Qingbing Guo,Yushan Pan, Weiping Ding, Jun Yu,Yazhou Zhang,Weihua Liu,Haoran Chen, Hao Wang,Ying Xie.
Information Fusion,99 (2023) 101891.
doi: https://doi.org/10.1016/j.inffus.2023.101891

TWC-EL: A multivariate prediction model by the fusion of three-way clustering and ensemble learning
Xunjin Wu, Jianming Zhan, Weiping Ding.
Information Fusion,100 (2023) 101966.
doi: https://doi.org/10.1016/j.inffus.2023.101966

Regret theory-based multivariate fusion prediction system and its application to interest rate estimation in multi-scale information systems
Xianfeng Huang, Jianming Zhan, Weiping Ding, Witold Pedrycz.
Information Fusion,99 (2023) 101860.
doi: https://doi.org/10.1016/j.inffus.2023.101860

Ontology-Based Natural Language Processing for Sentimental Knowledge Analysis Using Deep Learning Architectures
Deepak Kumar Jain, Shamimul Qamar, Saurabh Raj Sangwan, Weiping Ding, Anand J Kulkarni.
ACM Transactions on Asian and Low-Resource Language Information Processing.
doi: https://doi.org/10.1145/3624012

Topical Collection on Deep Learning in Multimodal Medical Imaging for Cancer Detection
Priti Bansal, Vincenzo Piuri, Vasile Palade, Weiping Ding.
Neural Computing and Applications.
doi: https://doi.org/10.1007/s00521-023-08955-6

Special issue on Recent Advances in Fuzzy Deep Learning for Uncertain Medicine Data
Weiping Ding, Jun Liu,Chin‐Teng Lin, Dariusz Mrozek.
Information Sciences doi.
doi: https://doi.org/10.1016/j.ins.2023.118997

Bi-LS-AttM: A Bidirectional LSTM and Attention Mechanism Model for Improving Image Captioning
Tian Xie, Weiping Ding Jinbao Zhang , Xusen Wan and Jiehua Wang.
Applied Sciences,2023, 13, 7916.
doi: https://doi.org/10.3390/app13137916

A Survey on Fairness-aware Recommender Systems
Di Jin, Luzhi Wang, He Zhang, Yizhen Zheng, Weiping Ding, Feng Xia, Shirui Pan.
Information Fusion,100 (2023) 101906.
doi: https://doi.org/10.1016/j.inffus.2023.101906

Fuzzy-based Cross-Image Pixel Contrastive Learning for Compact Medical Image Segmentation
Yecong Wan, Mingwen Shao,Yuanshuo Cheng, Weiping Ding.
Multimedia Tools and Application,Multimedia Tools and Application

Dual-stream EfficientNet with Adversarial Sample Augmentation for COVID-19 Computer Aided Diagnosis
Weijie Xu, Lina Nie, Beijing Chen, Weiping Ding.
Computers in Biology and Medicine,165 (2023) 107451.
doi: https://doi.org/10.1016/j.compbiomed.2023.107451

Zhengxin Song, Yun Xue, Donghong Gu, Haolan Zhang, Weiping Ding.
International Journal of Machine Learning and Cybernetics.
doi: https://doi.org/10.1007/ s13042-022-01757-7

State-Saturated Resilient Filtering for Nonlinear Complex Networks Under Event-Triggering Protocol
Cong Huang, Peng Mei, Quan Shi and Serdar Coskun, Weiping Ding.
Asian Journal of Control,2023, 25(2):1216-1231.
doi: http://dx.doi.org/10.1002/asjc.2906

Diagnosis of COVID-19 from X-rays Using Combined CNN-RNN Architecture with Transfer Learning
Md. Milon Islam, Md. Zabirul Islam, Amanullah Asraf, Weiping Ding.
BenchCouncil Transactions on Benchmarks, Standards and Evaluations,2 (2022) 100088.
doi: https://doi.org/10.1016/j.tbench.2023.100088

MAP-FCRNN: Multi-step ahead prediction model using forecasting correction and RNN model with memory functions
Rongtao Zhang, Xueling Ma, Weiping Ding, Jianming Zhan.
Information Sciences,646 (2023) 119382.
doi: https://doi.org/10.1016/j.ins.2023.119382

HAR-DeepConvLG: Hybrid Deep Learning–based Model for Human Activity Recognition in IoT Applications
Weiping Ding, Mohamed Abdel-Basset, Reda Mohamed.
Information Sciences,646 (2023) 119394.
doi: https://doi.org/10.1016/j.ins.2023.119394

Multi-Objective Binary Grey Wolf Optimization for Feature Selection Based on Guided Mutation Strategy
Xiaobo Li, Qiyong Fu, Qi Li, Weiping Ding, Feilong Lin, Zhonglong Zheng.
Applied Soft Computing,145 (2023) 110558.
doi: https://doi.org/10.1016/j.asoc.2023.110558

From corrective to predictive maintenance -A review of maintenance approaches for the power industry
Marek Moleda, Bożena Małysiak-Mrozek, Weiping Ding, Vaidy Sunderam, Dariusz Mrozek,.
Sensor,2023, 23, 5970.
doi: https://doi.org/10.3390/s23135970

From corrective to predictive maintenance -A review of maintenance approaches for the power industry
Marek Moleda, Bożena Małysiak-Mrozek, Weiping Ding, Vaidy Sunderam, and Dariusz Mrozek.
Sensor, 2023, 23: 5970.
doi: https://doi.org/10.3390/s23135970.

Data Preprocessing and Feature Selection Techniques in Gait Recognition: A Comparative Study of Machine Learning and Deep Learning Approaches
Anubha Parashar, Apoorva Parashar, Weiping Ding, Mohammad Shabaz, and Imad Rida.
Pattern Recognition Letters, 2023, 172: 65-73.
doi: https://doi.org/10.1016/j.patrec.2023.05.021.

HSVCML: Image encryption algorithm based on Hilbert sorting vector and new spatiotemporal chaotic system
Hangming Zhang, Hanping Hu, and Weiping Ding.
Optics and Laser Technology, 2023, 167: 109655.
doi: https://doi.org/10.1016/j.optlastec.2023.109655.

Feature Selection Using Symmetric Uncertainty and Hybrid Optimization for High-dimensional Data
Lin Sun, Shujing Sun, Weiping Ding, Xinyue Huang, Peiyi Fan, Kunyu Li, and Leqi Chen.
International Journal of Machine Learning and Cybernetics.
doi: https://doi.org/10.1007/s13042-023-01897-4.

Reward Shaping with Hierarchical Graph Topology
Jianghui Sang, Yongli Wang, Weiping Ding, Zaki Ahmad Khan, and Lin Xu.
Pattern Recognition, 2023, 143: 109746.
doi: https://doi.org/10.1016/j.patcog.2023.109746.

Brain age prediction based on resting-state functional MRI using similarity metric convolutional neural network
Weiping Ding, Xinjie Shen, Jiashuang Huang, Hengrong Ju, Yuepeng Cheng, and Tao Yin.
IEEE ACCESS.
doi: 10.1109/ACCESS.2023.3283148.

Bi-directional adaptive neighborhood rough sets based attribute subset selection
Hengrong Ju, Weiping Ding, Xibei Yang, and Pingping Gu.
International Journal of Approximate Reasoning.
doi: https://doi.org/10.1016/j.ijar.2023.108966.

Vision-knowledge fusion model for multi-domain medical report generation
Dexuan Xu, Huashi Zhu, Yu Huang, Zhi Jin, Weiping Ding, Hang Li, and Menglong Ran.
Information Fusion, 2023, 97: 101817.
doi: https://doi.org/10.1016/j.inffus.2023.101817.

Three-way conflict analysis and resolution based on q-rung orthopair fuzzy information
Tengbiao Li, Junsheng Qiao, and Weiping Ding.
Information Sciences, 2023, 638: 118959.
doi: https://doi.org/10.1016/j.ins.2023.118959.

A Diabetes Prediction System Based on Incomplete Fused Data Sources
Zhaoyi Yuan, Hao Ding, Guoqing Chao, Mingqiang Song, Lei Wang, Weiping Ding, and Dianhui Chu.
Machine Learning and Knowledge Extraction, 2023, 5: 384-399.
doi: https://doi.org/10.3390/make5020023.

Graph based fuzzy clustering algorithm for crime report labelling
Aparna Pramanik, Asit Kumar Das, and Weiping Ding.
Applied Soft Comptuing, 2023, 141: 110261.
doi: https://doi.org/10.1016/j.asoc.2023.110261.

LEFSA: Label Enhancement-based Feature Selection with Adaptive Neighborhood via Ant Colony Optimization for Multilabel Classification
Lin Sun, Yusheng Chen, Weiping Ding, and Jiucheng Xu.
International Journal of Machine Learning and Cybernetics.
doi: 10.1007/s13042-023-01924-4.

A decision modeling approach for smart training environment with motor Imagery-based brain computer interface under neutrosophic cubic fuzzy set
Sarah Qahtan, Aws Alaa Zaidan, Hassan Abdulsattar Ibrahim, Muhammet Deveci, Weiping Ding, and Dragan Pamucar.
Expert Systems With Applications, 2023, 224: 119991.

AMFSA: Adaptive Fuzzy Neighborhood-Based Multilabel Feature Selection with Ant Colony Optimization
Lin Sun, Yusheng Chen, Weiping Ding, Jiucheng Xu, and Yuanyuan Ma.
Applied Soft Computing, 2023, 138: 110211.
doi: https://doi.org/10.1016/j.asoc.2023.110211.

A Robust MPC Approach for Platooning Control of Automated Vehicles With Constraints on Acceleration
Cong Huang, Quan Shi, Weiping Ding, Ling Liu, and Shu Jiang.
Control Engineering Practice, 2023.
doi: https://doi.org/10.1016/j.conengprac.2023.105648.

Information granules-based long-term forecasting of time series via BPNN under three-way decision framework
Chenglong Zhu, Xueling Ma, Chao Zhang, Weiping Ding, and Jianming Zhan.
Information Sciences, 2023, 634: 696-715.
doi: https://doi.org/10.1016/j.ins.2023.03.133.

Attention-based Multimodal Glioma Segmentation with Multi-attention Layers for Small-intensity Dissimilarity
Xiangbin Liu, Shufen Hou, Shuai Liu, Weiping Ding, and Yudong Zhang.
Journal of King Saud University - Computer and Information Sciences.
doi: https://doi.org/10.1016/ j.jksuci.2023.03.011.

PKET-GCN: Prior Knowledge Enhanced Time-Varying Graph Convolution Network for Traffic Flow Prediction
Yinxin Bao, JiaLi Liu, Qinqin Shen, Yang Cao, Weiping Ding, and Quan Shi.
Information Sciences, 2023, 634: 359-381.
doi: https://doi.org/10.1016/j.ins.2023.03.093.

Enhancing Motion Visual Cues for Self-supervised Video Representation Learning
Mu Nie, Zhibin Quan, Weiping Ding, and Wankou Yang.
Engineering Applications of Artificial Intelligence, 2023, 123: 106203.
doi: https://doi.org/10.1016/j.engappai.2023.106203.

Distributed State-of-Charge Estimation for Lithium-Ion Batteries With Random Sensor Failure Under Dynamic Event-Triggering Protocol
Cong Huang, Weiping Ding, Ruifeng Gao, Peng Mei, and Hamidreza Karimi.
Information Fusion, 2023, 95: 293-305.
doi: https://doi.org/10.1016/ j.inffus. 2023.02.032.

DeepAK-IoT: An Effective Deep Learning Model for cyberattack detection in IoT networks
Weiping Ding, Mohamed Abdel-Basset, and Reda Mohamed.
Information Sciences, 2023, 634: 157-171.
doi: https://doi.org/10.1016/j.ins.2023.03.052.

Fed-ESD: Federated Learning for Efficient Epileptic Seizure Detection in the Fog-Assisted Internet of Medical Things
Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, Sara Abdel-Razek, and Chuansheng Liu.
Information Sciences, 2023, 630: 403-419.
doi: https://doi.org/10.1016/j.ins.2023.02.052.

Spatial-Temporal Complex Graph Convolution Network for Traffic Flow Prediction
Yinxin Bao, Jiashuang Huang, Qinqin Shen, Yang Cao, Weiping Ding, Zhenquan Shi, and Quan Shi.
Engineering Applications of Artificial Intelligence, 2023, 121: 106044.
doi: https://doi.org/10.1016/j.engappai.2023.106044.

TFSFB: Two-stage Feature Selection via Fusing Fuzzy Multi-neighborhood Rough Set with Binary Whale Optimization for Imbalanced Data
Lin Sun, Xinya Wang, Weiping Ding, and Jiucheng Xu.
Information Fusion, 2023, 95: 91-108.
doi: https://doi.org/10.1016/j.inffus.2023.02.016.

Deep Learning Pipelines for Recognition of Gait Biometrics with Covariates - A Comprehensive Review
Anubha Parashar, Apoorva Parashar, Weiping Ding, Rajveer S Shekhawat, and Imad Rida.
Artificial Intelligence Review, 2023.
doi: https://doi.org/10.1007/s10462-022-10365-4 .

A Structure-Enhanced Generative Adversarial Network for Knowledge Graph Zero-Shot Relational Learning
Xuewei Li, Jinming Ma, Jian Yu, Mankun Zhao, Mei Yu, Hongwei Liu, Weiping Ding, and Ruiguo Yu.
Information Science, 2023, 629: 169-183.
doi: https://doi.org/10.1016/j.ins.2023.01.113.

BSSFS: Binary Sparrow Search Algorithm for Feature Selection
Lin Sun, Shanshan Si, Weiping Ding, Jiucheng Xu, and Yan Zhang.
International Journal of Machine Learning and Cybernetics.
doi: 10.1007/s13042-023-01788-8.

Training Fuzzy Deep Neural Network with Honey Badger Algorithm for Intrusion Detection in Cloud Environment
Deepak Kumar Jain, Weiping Ding, and Ketan Kotech.
International Journal of Machine Learning and Cybernetics.
doi: 10.1007/s13042-022-01758-6.

Interval type-2 Fuzzy Temporal Convolutional Autoencoder for Gait-Based Human Identification and Authentication
Weiping Ding, Mohamed Abdel-Basset, Nour Mostafa, Hossam Hawash.
Information Sciences, 2022,597: 144-165.
doi:10.1016/j.ins. 2022.03.046

TSK fuzzy system fusion at sensitivity-ensemble-level for imbalanced data classification
Yuanpeng Zhang, Guanjin Wang, Xiuyu Huang, and Weiping Ding.
Information Fusion, 2023, 92: 350-362.
doi: 10.1016/j.inffus.2022.12.014.

Disambiguation-based Partial Label Feature Selection via Feature Dependency and Label Consistency
Wenbin Qian, Yihui Li, Qianzhi Ye, Weiping Ding, and Wenhao Shu.
Information Fusion, 2023, 94: 152-168.
doi:https://doi.org/10.1016/j.inffus.2023.01.019.

Motor Imagery Classification Via Stacking-based Takagi-Sugeno-Kang Fuzzy Classifier Ensemble
Yuanpeng Zhang, and Weiping Ding.
Knowledge-Based Systems, 2023, 263: 110292.
doi: 10.1016/j.knosys.2023.110292.

Variational Learning of Deep Fuzzy Theoretic Nonparametric Model
Weiping Zhang, Mohit Kumar, Weiping Ding, Xiujuan Li, Junfeng Yu.
Neurocomputing, 506 (2022) 128-145.
doi: 10.1016/j.neucom.2022.07.029.

Two-channel Deep Recursive Multi-Scale Network Based on Multi-Attention for No-reference Image Quality Assessment
Changzhong Wang, Xiang Lvi, Xiaodong Fan, Weiping Ding, and Xiaoli Jiang.
International Journal of Machine Learning and Cybernetics.
doi: https://doi.org/10.1007/s13042-023-01773-1.

Pixel and Region Level Information Fusion in Membership Regularized Fuzzy Clustering for Image Segmentation
Pengfei Shi, Li Guo, Chenglizhao Chen, Long Chen, and Weiping Ding.
Information Fusion, 2023, 92: 479-497.
doi: 10.1016/j.inffus.2022.12.008.

HECON: Weight Assessment of the Product Loyalty Criteria Considering the Customer Decision's Halo Effect Using the Convolutional Neural Networks
Gholamreza Haseli, Ramin Ranjbarzadeh, Mostafa Hajiaghaei-Keshteli, Saeid Jafarzadeh Ghoushchi, Aliakbar Hasani, Muhammet Deveci, and Weiping Ding.
Information Sciences, 2023, 623: 184-205.
doi: 10.1016/j.ins.2022.12.027.

A Linear Programming-based QFD Methodology under Fuzzy Environment to Develop Sustainable Policies in Apparel Retailing Industry
Nezir Aydin, Sukran Seker, Muhammet Deveci, Weiping Ding, and Dursun Delen.
Journal of Cleaner Production, 2023, 387: 135887.
doi: 10.1016/j.jclepro.2023.135887.

Multi-label feature selection based on label distribution and neighborhood rough set
Jinghua Liu, Yaojin Lin, Muhammet Deveci, Weiping Ding, Hongbo Zhang, Cheng Wang, and Jixiang Du.
Neurocomouting, 2023, 524: 142-157.
doi: 10.1016/j.neucom.2022.11.096.

Bimodal HAR-An Efficient Approach to Human Activity Analysis and Recognition Using Bimodal Hybrid Classifiers
K. Venkatachalam, Pavel Trojovsk, Nebojsa Bacanin, Muhammet Deveci, andWeiping Ding.
Information Sciences.
doi: https://doi.org/10.1016/j.ins.2023.01.121.

Explainability of Artificial Intelligence Methods, Applications and Challenges: A Comprehensive Survey
Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, and Ahmed M. Ali.
Information Sciences, 2023, 615: 238-292.
doi: https://doi.org/10.1016/j.ins.2022.10.013.

Memory augmented convolutional neural network and its application in bioimages
Weiping Ding, Yurui Ming, Yu-Kai Wang, Chin-Teng Lin.
Neurocomputing,2021,466:128-138.
doi: 10.1016/j.neucom. 2021.09.012.

Multigranulation Consensus Fuzzy-Rough based Attribute Reduction
Weiping Ding, Jiandong Wang, and Jiehua Wang.
Knowledge-Based Systems, 2020, 198: 105945.
doi: 10.1016 /j.knosys.2020.105945.

Current trends of granular data mining for biomedical data analysis
Weiping Ding, Chin-Teng Lin, Alan Wee-Chung Liew, Isaac Triguero, and WenjianLuo.
Information Sciences, 2020, 510: 341-343.
doi: 10.1016/j.ins. 2019.10.002.

Fusion of Intelligent Learning for COVID-19: A State-of-the-Art Review and Analysis on Real Medical Data
Weiping Ding, Janmenjoy Nayak, H. Swapnarekha, Ajith Abraham, Bighnaraj Naik, and Danilo Pelusi.
Neurocomputing, 457 (2021) 40-66.
doi: 10.1016/j.neucom.2021.06.024.

Social bots and mass media manipulate public opinion through dual opinion climate
Chun Cheng, Yun Luo, Chang-bin Yu and Weiping Ding.
Chinese Physics B, 2022, 31 (1): 018701.
doi: 10.1088/1674-1056/ac0baa

State-Saturated Resilient Filtering for Nonlinear Complex Networks Under Event-Triggering Protocol
Cong Huang, Peng Mei, Quan Shi, Serdar Coskun, Weiping Ding.
Asian Journal of Control.
doi: http://doi.org/10.1002/asjc.2906

Robust Fuzzy Rough Approximations with kNN Granules for Semi-Supervised Feature Selection
Shuang An, Mengru Zhang, Changzhong Wang, andWeiping Ding.
Fuzzy Sets and Systems.
doi: https://doi.org/10.1016/j.fss.2023.01.01.

Developments in the Detection of Diabetic Retinopathy: A State of the Art Review of Computer-Aided Diagnosis and Machine Learning Methods
Ganeshsree Selvachandran, Shio Gai Quek, Raveendran Paramesran, Weiping Ding, Le Hoang Son.
Artificial Intelligence Review.
doi: https://doi.org/10.1007/s10462-022-10185-6.

Multiagent-Consensus- MapReduce-Based attribute reduction using co-evolutionary quantum PSO for big data applications
Weiping Ding, Chin-Teng Lin, Senbo Chen, Xiaofeng Zhang, Bin Hu.
Neurocomputing, 2018, 272: 136-153.
doi: 10.1016/ j.neucom.2017.06.059.

Hierarchical co-evolutionary clustering tree-based rough feature game equilibrium selection and its application in neonatal cerebral cortex MRI
Weiping Ding, Chin-Teng Lin, Mukesh Prasad.
Expert Systems with Application, 2018, 101, 243-257.
doi: 10.1016/j.eswa.2018.01.053.

A hierarchical-coevolutionary-MapReduce- based knowledge reduction algorithm with robust ensemble Pareto equilibrium
Weiping Ding, Jiehua Wang, and Jiandong Wang.
Information Sciences, 2016, 342: 153-175.
doi: 10.1016/ j.ins. 2016. 01.035.

A more efficient attribute self-adaptive co-evolutionary reduction algorithm by combining quantum elitist frogs and cloud model operators
Weiping Ding, Zhijin Guan, Quan Shi, and Jiandong Wang.
Information Sciences, 2015, 293: 214-234.
doi: 10.1016/j.ins.2014.09.010.

A Derived Multi-population Genetic Algorithm For Adaptive Fuzzy C-Means Clustering
Weiping Ding, Zhihao Feng, Javier Andreu-Perez, and Witold Pedrycz.
Neural Processing Letters.
doi: 10.1007/s11063-022-10876-9.

Parallel incremental efficient attribute reduction algorithm based on attribute tree
Weiping Ding, Tingzhen Qin, Xinjie Shen, Hengrong Ju, Haipeng Wang, Jiashuang Huang and Ming Li.
Information Sciences. 2022, 610: 1102-1121.
doi: https://doi.org/10.1016/j.ins.2022.08.044.

MIC-Net: A Deep Network for Cross-site Segmentation of COVID-19 Infection in the Fog-assisted IoMT
Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash and Witold Pedrycz.
Information Sciences, 2023, 623: 20-39.
doi: https://doi.org/10.1016/j.ins.2022.12.017.

Attribute reduction with personalized information granularity of nearest mutual neighbors
Hengrong Ju Weiping Ding, Zhenquan Shi, Jiashuang Huang, Jie Yang and Xibei Yang.
Information Sciences, 2022, 613: 114-138.
doi: https://doi.org/10.1016/j.ins.2022.09.006.

Special issue on fuzzy systems for biomedical science in healthcare
Weiping Ding, Javier Andreu Perez, Yiu-ming Cheung, Swagatam Das, Xiaodong Yue and Dariusz Mrozek.
Applied Soft Computing, 2023, 132: 109834.
doi: https://doi.org/10.1016/j.asoc.2022.109834.

SD-CNN: A Static-Dynamic Convolutional Neural Network for Functional Brain Networks
Jiashuang Huang, Mingliang Wang, Weiping Ding, and Daoqiang Zhang.
Medical Image Analysis, 2023, 83: 102679.
doi: https://doi.org/10.1016/j.media.2022.102679.

Variational Autoencoder based Imbalanced COVID-19 detection using chest X-Ray Images
Sankhadeep Chatterjee, Soumyajit Maity, Mayukh Bhattacharjee, Soumen Banerjee, Asit Kumar Das, and Weiping Ding.
New Generation Computing.
doi: https://doi.org/10.1007/s00354-022-00194-y.

A novel prospect-theory-based three-way decision methodology in multi-scale information systems
Jiang Deng, Jianming Zhan, Weiping Ding, Peide Liu and Witold Pedrycz.
Artificial Intelligence Review.
doi: https://doi.org/10.1007/s10462-022-10339-6.

On development of multimodal named entity recognition using part of speech and mixture of experts
Jianying Chen, Yun Xue, Haolan Zhang, Weiping Ding, Zhengxuan Zhang and Jiehai Chen.
International Journal of Machine Learning and Cybernetics.
doi: https://doi.org/10.1007/s13042-022-01754-w.

Editorial: special issue on multi-view learning
Guoqing Chao, Xingquan Zhu, Weiping Ding, Jinbo Bi, Shiliang Sun.
Applied Intelligence.
doi: https://doi.org/10.1007/s10489-022-03650-w.

AFNFS: Adaptive Fuzzy Neighborhood-Based Feature Selection with Adaptive Synthetic Over-sampling for Imbalanced Data
Lin Sun, Mengmeng Li, Weiping Ding, En Zhang, Xiaoxia Mu and Jiucheng Xu.
Information Sciences.
doi: https://doi.org/10.1016/j.ins.2022.08.118.

Distracted Driving Detection Based on the Fusion of Deep Learning and Casual Reasoning
Peng Ping, Cong Huang, Weiping Ding, Miyajima Chiyomi, Yongkang Liu and Takeda Kazuya.
Information Fusion, 2023, 89: 121-142.
doi: https://doi.org/10.1016/j.inffus.2022.08.009.

A Novel Rough Numbers based Extended MACBETH Method Implementation in the Prioritization of the Connected Autonomous Vehicles
Ilgın Gokasar, Dragan Pamucar, Muhammet Deveci and Weiping Ding.
Expert Systems With Applications, 2023, 211: 118445.
doi: https://doi.org/10.1016/j.eswa.2022.118445.

An Access Control Model for Medical Big Data Based on Clustering and Risk
Rong Jiang, Xue Chen, Yimin Yu, Ying Zhang and Weiping Ding.
Information Sciences, 2023, 621: 691-707.
doi: https://doi.org/10.1016/j.ins.2022.11.102.

Risk Assessment Approach for Analyzing Risk Factors to Overcome Pandemic Using Interval-Valued Q-rung Orthopair Fuzzy Decision Making Method
Şükran Şeker, Fatma Betül Bağlan, Nezir Aydin, Muhammet Deveci and Weiping Ding.
Applied Soft Computing, 2023, 132: 109891.
doi: https://doi.org/10.1016/j.asoc.2022.109891.

A Novel Fuel Supply System Modelling Approaches for Electric Vehicles Under Pythagorean Probabilistic Hesitant Fuzzy Sets
Sarah Qahtan, Hasan A. Alsattar, A.A. Zaidan, Muhammet Deveci, Dragan Pamucar and Weiping Ding.
Information Sciences, 2023, 622: 1014-1032.
doi: https://doi.org/10.1016/j.ins.2022.11.166.

Target-Aware U-Net with Fuzzy Skip Connections for Refined Pancreas Segmentation
Yufei Chen, Chang Xu, Weiping Ding, Shichen Sun, Xiaodong Yue and Hamido Fujita.
Applied Soft Computing, 2022, 131: 109818.
doi: https://doi.org/10.1016/j.asoc.2022.109818.

TSFNFS: Two-Stage-Fuzzy-Neighborhood Feature Selection with Binary Whale Optimization Algorithm
Lin Sun, Xinya Wang, Weiping Ding and Jiucheng Xu.
International Journal of Machine Learning and Cybernetics.
doi:10.1007/s13042-022-01653-0.

TSFNFR: Two-Stage Fuzzy Neighborhood-based Feature Reduction with Binary Whale Optimization Algorithm for Imbalanced Data Classification
Lin Sun, Xinya Wang, Weiping Ding and Jiucheng Xu.
Knowledge-Based Systems, 2022, 256: 109849.
doi: https://doi.org/10.1016/j.knosys.2022.109849.

Two-Stage-Neighborhood-Based Multilabel Classification for Incomplete Data with Missing Labels
Lin Sun, Tianxiang Wang, Weiping Ding, Jiucheng Xu,Anhui Tan.
International Journal of Intelligent Systems.
doi:10.1002/int.22861.

Computing Sufficient and Necessary Conditions in CTL: A Forgetting Approach
Renyan Feng, Erman Acar, Yisong Wang, Wanwei Liu, Stefan Schlobach and Weiping Ding..
Information Sciences.
doi: https://doi.org/10.1016/j.ins.2022.10.124.

Collaborative Granular Sieving: A Deterministic Multi-evolutionary Algorithm for Multimodal Optimization Problems
Lei Dai, Liming Zhang, Zehua Chen and Weiping Ding.
Information Sciences, 2022, 613: 288-308.
doi: https://doi.org/10.1016/j.ins.2022.09.007.

Detecting Deepfake Videos Based on Spatiotemporal Attention and Convolutional LSTM
Beijing Chen, Tianmu Li, and Weiping Ding.
Information Sciences, 601 (2022) 58-70.
doi: 10.1016/j.ins.2022.04.014.

Dynamic Information Fusion in Multi-Source Incomplete Interval-Valued Information System with Variation of Information Sources and Attributes
Xiaoyan Zhang, Xiuwei Chen, Weihua Xu, and Weiping Ding.
Information Sciences 608 (2022) 1-27.
doi: https://doi.org/10.1016/j. ins.2022.06.054

A Network Embedding-Enhanced NMF Methods for Finding Communities in Attributed Networks
Jinxin Cao, Weizhong Xu, Di Jin, Dongxiao He, Xiaofeng Zhang and Weiping Ding.
IEEE ACCESS.
doi: 10.1109/ACCESS.2022.3198979.

RG-GCN: Improved graph convolution neural network algorithm based on Rough Graph
Weiping Ding, Bairu Pan, Hengrong Ju, Jiashuang Huang, Chun Cheng, Xinjie Shen, Yu Geng and Tao Hou.
IEEE ACCESS, 2022.10: 85582-85594.
doi: 10.1109/ACCESS.2022. 3198730.

An error correction prediction model based on three-way decision and ensemble learning
Xianfeng Huang, Jianming Zhan, Weiping Ding and Witold Pedrycz.
International Journal of approximate reasoning, 2022, 146: 21-46.
doi: 10.1016/j.ijar.2022.04.002.

Intelligent Monitoring for Infectious Diseases with Fuzzy Systems and Edge Computing: A Survey
Qinting Jiang, Xuanhong Zhou, Ruili Wang, Weiping Ding, Yi Chu, Sizhe Tang, Xiaoyun Jia, Xiaolong Xu.
Applied Soft Computing, 123 (2022) 108835.
doi: https://doi.org/10.1016 /j.asoc.2022.108835.

A three-way decision method with tolerance dominance relations in decision information systems
Wenjie Wang, Jianming Zhan, Weiping Ding and Shuping Wan.
Artificial Intelligence Review, Accepted and to be appeared.

No-reference image quality assessment with multi-scale weighted residuals and channel attention mechanism
Changzhong Wang, Xiang Lv, Weiping Ding and Xiaodong Fan.
Soft Computing.
doi: https://doi.org/10.1007/s00500-022-07535-5.

A Fermatean Fuzzy Fine-Kinney for Occupational Risk Evaluation Using Extensible MARCOS with Prospect Theory
Weizhong Wang, Xiao Han, Weiping Ding, Qun Wu and Xiaoqing Chen.
Engineering Applications of Artificial Intelligence, 2023, 117: 105518.
doi: https://doi.org/10.1016/j.engappai.2022.105518.

Intra-class variations with Deep Learning-based Gait Analysis: A comprehensive survey of covariates and methods
Anubha Parashar, Rajveer Singh Shekhawat, Weiping Ding, Imad Rida.
Neurocomputing.
doi: https://doi.org/10.1016/j.neucom.2022.07.002

A residual-attention offline handwritten Chinese text recognition based on fully convolutional neural networks
Yintong Wang, Yingjie Yang, Weiping Ding, Shuo Li.
IEEE Access.
doi: 10.1109/ACCESS.2021.3115606.

An improved D-S evidence theory based neighborhood rough classification approach
Tao Yin, Xiaojuan Mao, Xingtan Wua, Hengrong Ju, Weiping Ding and Xibei YangT.
Journal of Intelligent & Fuzzy Systems.
doi: 10.3233/JIFS-210462.

Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Images
Qinghao Ye, Yuan Gao, Weiping Ding, Zhangming Niu, Chengjia Wang, Yinghui Jiang, Minhao Wang, Evandro Fei Fang, Wade Menpes-Smith, Jun Xia, and Guang Yang.
Applied Soft Computing, 116 (2022) 108291.
doi: 10.1016/j.asoc. 2021.108291.

A review of clustering techniques and developments
Amit Saxena, Mukesh Prasad, Akshansh Gupta, Neha Bharill, Om Prakash Patel, Aruna Tiwari, Meng Joo Er, Weiping Ding, and Chin-Teng Lin.
Neurocomputing, 2017, 267: 664-681.
doi: 10.1016/ j.neucom.2017.06.053. (Highly Cited Paper)

Effective Template Update Mechanism in Visual Tracking with Background Clutter
Shuai Liu, Dongye Liu, Khan Muhammad, and Weiping Ding.
Neurocomputing, 458(2021) 615-625.
doi: 10.1016/j.neucom. 2019.12. 143. (Highly Cited Paper)

Locally GAN-generated face detection based on an improved Xception
Beijing Chen, Xingwang Ju, Bin Xiao, Weiping Ding, Yuhui Zheng, and Victor Hugo C. de Albuquerque.
Information Sciences, 2021.
doi: 10.1016/j.ins. 2021.05.006.

An improved SFLA-Kmeans algorithm based on approximate backbone and its application in retinal fundus image
Weiping Ding, Yi Zhang, Tingzhen Qin, Ying Sun.
IEEE Access,2021,9:72259-72268.
doi: 10.1109/ ACCESS.2021.3079119.

Discovering High Utility-Occupancy Patterns from Uncertain Data
Chien-Ming Chen, Lili Chen, Wensheng Gan, Lina Qiu, and Weiping Ding.
Information Sciences, 2021, 546: 1208-1229.
doi: 10.1016/j.ins.2020.10.001.

WGNCS: A robust hybrid cross-version defect model via multi-objective optimization and deep enhanced feature representation
Nana Zhang, Shi Ying, Weiping Ding, Kun Zhu, Dandan Zhu.
Information Sciences,
doi: 10.1016/j.ins.2021.05.008.

Attribute reduction with fuzzy rough self-information measures
Changzhong Wang, Yang Huang, Weiping Ding, and Zehong Cao.
Information Sciences, 2021, 549: 68-86.
doi: 10.1016/j.ins.2020.11.021.(Highly Cited Paper)

Ensemble Summarization of Bio-medical Articles integrating Clustering and multi-objective Evolutionary Algorithms
Chirantana Mallick, Asit Kumar Das, Weiping Ding, and Janmenjoy Nayak.
Applied Soft Computing, 106 (2021) 107347.
doi: 10.1016/j.asoc.2021.107347.

Robust supervised rough granular description model with the principle of justifiable granularity
Hengrong Ju, Weiping Ding, Xibei Yang, Hamido Fujitac, Suping Xu.
Applied Soft Computing, 2021, 110: 107612.
doi: 10.1016/j.asoc.2021. 107612

An Augmented Tabu Search Algorithm for the Green Inventory-Routing Problem with Time Windows
Erfan Babaee Tirkolaee, Mahdi Alinaghian, Zahra Kaviani Dezaki, Seyyed Reza Hejazi, Weiping Ding.
Swarm and Evolutionary Computation, 60 (2021) 100802.
doi: 10.1016/j.swevo.2020.100802. (Highly Cited Paper)

Control Strategy in Spreading Dynamics with Limited Capacity
Fei Xiong, Yu Zheng, Weiping Ding, Hao Wang, Xinyi Wang, Hongshu Chen.
Future Generation Computer Systems, 114 (2021) 307-317.
doi: 10.1016/j.future.2020.08.009.

A Comprehensive Survey on Multi-View Video Summarization
Tanveer Hussain, Khan Muhammad, Weiping Ding, Mohsen Guizani, and Sung Wook Baik, Vector Hugo C. de Albuquerque.
Pattern Recognition,
doi: 10.1016/j.patcog.2020.107567.

On-Shelf Utility Mining from Transaction Database
Jiahui Chen, Xu Guo, Wensheng Gan, Chien-Ming Chen, Weiping Ding.
Engineering Applications of Artificial Intelligence, 107 (2022) 104516.
doi: 10.1016/j.engappai. 2021.104516.

Incremental Classifier in Crime Prediction using bi-objective Particle Swarm Optimization
Priyanka Das, Asit Kumar Das, Janmenjoy Nayak, Danilo Pelusi and Weiping Ding.
Information Sciences, 2021, 56: 279-303.
doi: 10.1016/ j.ins.2021.02.002.

Efficient Activity Recognition using Lightweight CNN and Deep GRU Network for Surveillance Applications
Amin Ullah, Khan Muhammad, Weiping Ding, Vasile Palade, Ijaz Ul Haq, and Sung Wook Baik.
Applied Soft Computing, 103 (2021) 107102.
doi: 10.1016/j.asoc.2021.107102

Intelligent System for Covid-19 Prognosis: A State-of-the-Art Survey
Janmenjoy Nayak, Bighnaraj Naik, Paidi Dinesh, Kanithi Vakula, B. Kameswara Rao, Weiping Ding.
Applied Intelligence, 2021, 51:2908-2938.
doi: 10.1007/s10489-020-02102-7

Multilabel Feature Selection Using ML-ReliefF and Neighborhood Mutual Information for Multilabel Neighborhood Decision Systems
Lin Sun, Tengyu Yin, Weiping Ding, Yuhua Qian, and Jiucheng Xu.
Information Sciences, 537 (2020) 401-424.
doi: 10.1016/j.ins.2020.05.102.

Editorial: Data Mining and Granular Computing in Big Data and Knowledge Processing
Weiping Ding, Gary G. Yen, Gleb Beliakov, Isaac Triguero, Mahardhika Pratama, Xiangliang Zhang, and Hongjun Li.
IEEE Access, 2019, 7(1): 47682-47686.
doi: 10.1109/ACCESS. 2019.2908776.

An Hybrid Harris Hawks Optimization Algorithm with simulated annealing for Feature Selection
Mohamed Abdel-Basset, Weiping Ding, and Doaa El-Shahat.
Artificial Intelligence Review. 2021,54(1): 593-637.
doi: 10. 1007/s10462-020-09860-3.

Multiple Lesions Detection of Fundus Images based on Convolution Neural Network Algorithm with Improved SFLA
Weiping Ding, Ying Sun, Longjie Ren, Hengrong Ju, Zhihao Feng, and Ming Li.
IEEE Access, 2020, 8: 97618-97630.
doi: 10.1109/ACCESS. 2020.2996569.

The fusion of Internet of Intelligent Things (IoIT) in Remote Diagnosis of Obstructive Sleep Apnea: A Survey & A New Model
Mohamed Abdel-Basset, Weiping Ding, and Laila Abdel-Fatah.
Information Fusion, 61 (2020) 84-100.
doi: 10.1016 /j.inffus. 2020.03.010.

Graph based Feature Selection Investigating Boundary Region of Rough Set for Language Identification
Ghazaala Yasmin, Asit Kumar Das, Janmenjoy Nayak, Danilo Pelusi and Weiping Ding.
Expert Systems with Application.
doi: 10.1016/ j.eswa.2020.113575.

Random Forest with Self-paced Bootstrap Learning in Lung Cancer Prognosis
Qingyong Wang, Yun Zhou, Weiping Ding, Zhiguo Zhang, Khan Muhammad, and Zehong Cao.
ACM Transactions on Multimedia Computing Communications and Applications, 16, 1s, Article 34 (April 2020), 12 pages.
doi: https://doi.org/10.1145/3345314.

Local Community Detection by the Nearest Nodes with Greater Centrality
Wenjian Luo, Nannan Lu, Li Ni, Wenjie Zhu, and Weiping Ding.
Information Sciences, 2020, 517: 377-392.
doi: 10.1016/j.ins.2020.01.001.

Neighborhood Multi-granulation Rough Sets-based Attribute Reduction Using Lebesgue and Entropy Measures in Incomplete Neighborhood Decision Systems
Lin Sun, Lanying Wang, Weiping Ding, Yuhua Qian, and Jiucheng Xu.
Knowledge-Based Systems, 192 (2020) 105373.
doi: 10.1016/j.knosys.2019.105373.

Hybrid Multilabel Feature Selection Using BPSO and Neighborhood Rough Sets for Multilabel Neighborhood Decision Systems
Lin Sun, Tengyu Yin, Weiping Ding, and Jiucheng Xu.
IEEE Access, 2019,7(1):175793-175815.
doi: 10.1109 /ACCESS.2019.2957662

Multiple parameters determination for image and video deconvolution using genetic algorithm and generalized Stein's unbiased risk estimation
Zhi Dou, Lin Sun, and Weiping Ding.
IEEE Access, 2019, 7 (1): 177745-177760.
doi: 10.1109/ ACCESS.2019.2958315.

Exploration of an innovative geometric parameter based on performance enhancement for foot print recognition
V.D.Ambeth Kumar, S.Malathi, R Venkatesan, K Ramalakshmi, K Vengatesan and Weiping Ding, K. Abhishek.
Journal of Intelligent & Fuzzy Systems, 2020, 38(2): 2181-2196.
doi: 10.3233/JIFS-190982.

Group Incremental Adaptive Clustering based on Neural Network and Rough Set Theory for Crime Report Categorization
Priyanka Das, Asit Kumar Das, Janmenjoy Nayak, Danilo Pelusi and Weiping Ding.
Neurocomputing. 459 (2021) 465-480.
doi: 10.1016/j.neucom. 2019.10. 109.

A Multi-Objective Adaptive Evolutionary Algorithm to Extract Communities in Networks
Qi Li, Zehong Cao, Weiping Ding, and Qing Li.
Swarm and Evolutionary Computation, 52 (2020) 100629.
doi: 10.1016/ j.swevo.2019.100629.

A Memetic Algorithm using Emperor Penguin and Social Engineering Optimization for Medical Data Classification
Santos Kumar Baliarsingh, Weiping Ding, Swati Vipsita, and Sambit Bakshi.
Applied Soft Computing, 2019, 85, 105773.
doi: 10.1016/j.asoc. 2019.105773.

SVM-Based Feature Selection for Differential Space Fusion and Its Application to Diabetic Fundus Image Classification
Weiping Ding.
IEEE Access, 2019,7: 149493-149502.
doi: 10.1109/ACCESS.2019.2944899.

Subject Adaptation Network for EEG Data Analysis
Yurui Ming, Weiping Ding, Danilo Pelusi, Dongrui Wu, Yu-Kai Wang, Mukesh Prasad, and Chin-Teng Ling.
Applied Soft Computing, 84 (2019) 105689.
doi: 10.1016/j.asoc. 2019.105689.

A Hierarchical Prototype-Based Approach for Classification
Xiaowei Gu, and Weiping Ding.
Information Sciences, 2019, 505, 325-351.
doi: 10.1016/j.ins.2019.07.077.

Diagnosis of COVID-19 from X-rays Using Combined CNN-RNN Architecture with Transfer Learning
Md. Milon Islam, Md. Zabirul Islam, Amanullah Asraf, and Weiping Ding.
medRxiv preprint.
doi: https://doi.org/10.1101/ 2020.08.24. 20181339.

CDE-GAN: Cooperative Dual Evolution Based Generative Adversarial Network
Shiming Chen, Wenjie Wang, Beihao Xia, Xinge You, Qinmu Peng, Zehong Cao, and Weiping Ding.
arXiv:2008.09388v1[cs.CV] 21 Aug 2020.

A Graph based Clustering Approach for Relation Extraction from Crime Data
Priyanka Das, Asit Kumar Das, Janmenjoy Nayak, Danilo Pelusi, and Weiping Ding.
IEEE Access, 2019, 7, 101269-101282.
doi: 10.1109/ACCESS. 2019.2929597.

EOG-based Eye Movement Classification and Application on HCI Baseball Game
Chin-Teng Lin, Juang-Tai King, Priyanka Bhardwaj, Chih-Hao Chen, Akshansh Gupta, Weiping Ding, and Mukesh Prasad.
IEEE Access, 2019, 7(1): 96166-96176.
doi: 10.1109/ACCESS. 2019.2927755.

A Unified Two-Parallel-Branches Deep Neural Network for Joint Gland Contour and Segmentation Learning
Linbo Wang, Hui Zhen, Xianyong Fang, Shaohua Wan, Weiping Ding, and Yanwen Guo.
Future Generation Computer Systems, 2019, 100, 316-324.
doi: 10.1016/j.future. 2019.05.035.

Exploring the Brain Responses to Driving Fatigue through Simultaneous EEG and fNIRS Measurements
Chin-Teng Lin, Jung-Tai King, Chun-Hsiang Chuang, Weiping Ding, Wei-Yu Chuang, Lun-De Liao, and Yu-Kai Wang.
International Journal of Neural Systems, 30(1): 1950018:1-1950018:12 (2020).
doi: 10.1142/ S01290657195 00187.

A method for synthesis and optimization for linear nearest neighbor quantum circuits by parallel processing
Zongyuan Zhang, Zhijin Guan, Hong Zhang, Haiying Ma, and Weiping Ding.
Quantum Information & Computation, 18(13&14): 1095-1114 (2018).

Hiding Medical Information in Brain MR Images without Affecting Accuracy of Classifying Pathological Brain
Swagatika Devi, Manmath Narayan Sahoo, Khan Muhammad, Weiping Ding, and Sambit Bakshi.
Future Generation Computer Systems, 2019, 99: 235-246.
doi: 10.1016/j.future.2019.01.047.

Sequential three-way classifier with justifiable granularity
Hengrong Ju, Witold Pedrycz, Huaxiong Li, Weiping Ding, and Xibei Yang.
Knowledge-Based Systems, 2019, 163: 103-119.
doi: 10.1016/j.knosys.2018.08.022.

A Hierarchical Meta-model for Multi-Class Mental Task Based Brain-Computer Interfaces
Akshansh Gupta, Ramesh Kumar Agrawal, Jyoti Singh Kirar, Baljeet Kaur, Weiping Ding, Chin-Teng Lin, Andreu Perez Javier, and Mukesh Prasad.
Neurcomputing, 389 (2020) 207-217.
doi: 10.1016/j.neucom.2018.07.094.

Effects of repetitive SSVEPs on EEG complexity using inherent fuzzy entropy
Zehong Cao, Weiping Ding, Yu-Kai Wang, Farookh Khadeer Hussain, Adel Al-Jumaily, and Chin-Teng Lin.
Neurcomputing, 389 (2020) 198-206.
doi: 10.1016/ j.neucom.2018.08.091. (Highly Cited Paper)

Semi-supervised feature learning for improving writer identification
Shiming chen, Yisong Wang, Chin-Teng Lin, Weiping Ding, and Zehong Cao.
Information Sciences, 482 (2019) 156-170.
doi: 10.1016/j.ins.2019.01.024.

Mapping from multiple control Toffoli circuits to linear nearest neighbor quantum circuits
Xueyun Cheng, Zhijin Guan, and Weiping Ding.
Quantum Information Processing, 2018 2018, 17(7):169, July.
doi: 10.1007/s11128-018-1908-8.

A method for synthesis and optimization for linear nearest neighbor quantum circuits by parallel processing
Zongyuan Zhang, Zhijin Guan, Hong Zhang, Haiying Ma, and Weiping Ding.
Quantum Information & Computation, 18(13&14): 1095-1114 (2018).

A Multi-Model Fusion Engine for Filtering Web Pages
Ziyun Deng, Tingqin He, Weiping Ding, and Zehong Cao.
IEEE Access, 2018, 6: 66062-66071.
doi: 10.1109/ACCESS. 2018.2878897.

A Modified Distance Dynamics Model for Improvement of Community Detection
Tao Meng, Lijun Cai, Tingqin He, Lei Chen, Ziyun Deng, Weiping Ding, and Zehong Cao.
IEEE Access, 2018, 6: 63934-63947.
doi: 10.1109/ ACCESS.2018.2877235.

Recent advances in supervised dimension reduction: A survey
Guoqing Chao, Yuan Luo, and Weiping Ding.
Machine Learning and Knowledge Extraction, 2019, 1(1), 341-358.
doi: 10.3390/make1010020 (Invited Survey)

A layered co-evolution based rough feature selection using adaptive neighborhood radius hierarchy and its application in 3D-MRI
Weiping Ding, Zhijin Guan, Jiehua Wang, and Di Tian.
Chinese Journal of Electronics, 2017, 26(6): 1168-1176.
doi: 10.1049/cje.2017.01.004.

A cascaded co-evolutionary model for attribute reduction and classification based on coordinating architecture with bidirectional elitist optimization
Weiping Ding, Jiandong Wang, Yuehua Li, and Xueyun Cheng.
Chinese Journal of Electronics, 2017, 26(1): 13-21.
doi: 10.1049/cje.2016. 06.037.

An enhanced attribute co-evolutionary game reduction algorithm by integrating self-adaptive multi-level Nash equilibrium
Weiping Ding, Zhijin Guan, and Quan Shi.
Chinese Journal of Electronics, 2016, 25(1): 13-19.
doi: 10.1049/ cje.2016.01.003.

Ensemble feature selection integrating elitist roles based quantum game algorithm
Weiping Ding, and Jiandong Wang.
Journal of Systems Engineering and Electronics, 2015, 26(3), 584-594.
doi: 10.1109/JSEE.2015.0006.

A novel minimum attribute reduction algorithm based on hierarchical elitist role model combining competitive and cooperative co-evolution
Weiping Ding, Jiandong Wang, and Zhijin Guan.
Chinese Journal of Electronics, 2013, 22(4): 677-682.

Enhanced minimum attribute reduction based on quantum-inspired shuffled frog leaping algorithm
Weiping Ding, Jiandong Wang, Zhijin Guan, and Quan Shi.
Journal of Systems Engineering and Electronics, 2013, 24(3): 426-434.
doi: 10.1109/ JSEE.2013.00051.

Cooperative extended rough attribute reduction algorithm based on improved PSO
Weiping Ding, Jiandong Wang, and Zhijing Guan.
Journal of Systems Engineering and Electronics, 2012, 23(1): 160-166.
doi: 10.1109/ JSEE.2012.00020.

Minimum attribute co-reduction algorithm based on multilevel evolutionary tree with self-adaptive subpopulations
Weiping Ding, Jiandong Wang, and Yanwen Guo.
Transactions of Nanjing University of Aeronautics & Astronautics, 2013, 30(2): 175-184.

Quantum-cloud-feedback-based attribute equilibrium dominance ensemble reduction with co-evolutionary elitists
Weiping Ding, and Jiandong Wang.
Journal of Quantum Electronics, 2016, 33 (2): 220-230.
doi: 10.3969/ j.issn.1007-5461.2016. 02.15

Linear nearest neighbor quantum circuit synthesis based on valid Boolean matrix
Xueyun Chen, Zhijin Guan, Weiping Ding, and Pengcheng Zhu.
Journal of Quantum Electronics, 2016, 33(6) 743-750.

Adaptive multicascade attribute reduction based on quantum-inspired mixed co-evolution
Weiping Ding, Jiandong Wang, Quan Shi, and Zhijin Guan.
Journal of Southeast University (English Edition), 2012, 28(2): 145-150.

Co-evolutionary cloud-based attribute ensemble multi-agent reduction algorithm
Weiping Ding, Wang Jiandong, Zhang Xiaofeng, and Guan Zhijin.
Journal of Southeast University (English Edition), 2016, 32(4):432-438.
doi: 10.3969/ j.issn.1003-7985.2016.04.007.

Attribute equilibrium reduction with quantum game based on mixed co-evolutionary populations??? collaboration
Weiping Ding, Jiandong Wang, Quan Shi, Senbo Chen, and Xuehua Sen.
ACTA ELECTRONICA SINICA, 2015, 43(1): 45-53.
doi: 10.3969/j.issn.0372-2112.2005.01008.

Minimum attribute self-adaptive cooperative co-evolutionary reduction algorithm based on quantum elitist frogs
Weiping Ding, Jiandong Wang, and Zhijin Guan.
Journal of Computer Research and Development, 2014, 51(4): 743-753.
doi: 10.7544/issn1000-1239. 2014.20120572.

Minimum attribute reduction enhancing algorithm based on quantum cloud model evolution
Weiping Ding, Jiandong Wang, Zhijin Guan, and Quan Shi.
Journal of Southeast University (Natural Science), 2013, 43(2): 291-295.

Efficient rough attribute reduction based on quantum frog co-evolution
Weiping Ding, Jiandong Wang, and Zhijin Guan.
ACTA ELECTRONICA SINICA, 2011, 39(11): 2597-2603.

Rough attribute reduction with cross-entropy based on improved shuffled frog-leaping algorithm
Weiping Ding, Jiandong Wang, Senbo Chen, Xueyun Cheng, and Xuehua Sen.
Journal of Nanjing University (Natural Science), 2015, 50(2): 159-166.

Attribute order reduct algorithm based on niche technology and perfect attribute-value space tree
Weiping Ding, Jiandong Wang, Quan Shi, Hao Zhu, and Senbo Chen.
Journal of Nanjing University of Science and Technology (Natural Science), 2012, 36 (1): 37-42.

A cascade algorithm of quantum evolutionary attribute reduction and classification learning based adaptive crossover cooperation
Weiping Ding, Jiandong Wang, Zhijin Guan, and Quan Shi.
Pattern Recognition and Artificial Intelligence, 2011, 24(6): 733-742.

Incomplete attribute reduction robust algorithm of decision table based niche conic neighborhood particle swarm optimization
Weiping Ding, and Jiandong Wang.
Journal of Sichuan University (Engineering Science Edition), 2011, 43(6): 119- 126.

Concept lattice mining algorithm using rough entropy with variable precision thresholding and co-evolution
Weiping Ding, Jiandong Wang, and Zhijin Guan.
Journal of PLA University of Science and Technology, 2011, 12(1): 25-30.

Research of cooperative PSO for attribute reduction optimization
Weiping Ding, Jiandong Wang, Weihua Duan, and Quan Shi.
Journal of Shangdong University (Natural Science), 2011, 46 (5): 97-102.

Research and application of extension rough formal concept mining algorithm based on dynamic co-evolution
Weiping Ding, Jiandong Wang, and Weihua Duan.
Journal of Information and Computational Science, 2010,7(12): 2377-2384.

A novel hybrid approach for incomplete knowledge system mining based on approximation rough entropy lattice
Weiping Ding, Jiandong Wang, Hao Zhu, Zhijin Guan, and Quan Shi.
Journal of Computational Information System, 2010, 6(5): 1651-1659.

The algorithm of attribute reduction based on extension entropy of variable precision thresholding in incomplete information system
Weiping Ding, Jiandong Wang, Zhijin Guan, and Hao Zhu.
Journal of Chinese Computer Systems, 2010, 31(12): 2372-2376.

Research and application of dynamical classification model for ensemble learning based on approximation concept lattice of roughness
Weiping Ding, Jiandong Wang, Hao Zhu, Zhijin Guan, and Quan Shi.
Computer Science, 2010, 37(7): 174-178, 232.

Research of approximation concept lattice and rules mining based on extended rough sets model
Weiping Ding, Zhijin Guan, and Zhenguo Shi.
Journal of Nanjing University of Posts and Telecommunications (Natural Science), 2009, 29(2): 10-15.

Adaptive FCM Clustering Algorithm Based On Twin Multiple Population Evolution.
Zhihao Feng, Weiping Ding, Jinxin Cao, Chudi Sun, Xinjie Shen, Haipeng Wang.
2021 IEEE International Conference on Digital Twins and Parallel Intelligence (DTPI 2021) Beijing

Parallel Pathway Convolutional Neural Network with Low-rank Fusion for Brain Age Prediction.
Xinjie Shen, Jiashuang Huang, Ying Sun, Ming Li, Bairu Pan, Weiping Ding.
2021 IEEE International Conference on Digital Twins and Parallel Intelligence (DTPI 2021) Beijing

UHUOPM: High Utility Occupancy Pattern Mining in Uncertain Data.
Chien-Ming Chen, Lili Chen, Wensheng Gan, Lina Qiu,Weiping Ding.
2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

Automatic Construction of Multi-layer Perceptron Network from Streaming Examples.
Mahardhika Pratama, Choiru Zain, Andri Ashfahani, Yew-Soon Ong and Weiping Ding.
The 28th ACM International Conference on Information and Knowledge Management (CIKM 2019)

OSUMI: On-Shelf Utility Mining from Itemset-based Data.
Jiahui Chen, Xu Guo, Wensheng Gan, Chien-Ming Chen, Weiping Ding, and Guoting Chen.
Special Sessions Paper Information Granulation in Data Science and Scalable Computing

A parallel minimum attribute co-reduction accelerator based on quantum-inspired SFLA and MapReduce Framework.
Weiping Ding, Senbo Chen, and Xueyun Chen.
2015 International Conference on Data Mining and Applications (ICDMA-15)

An adaptive minimum attribute reduction algorithm integrating quantum elitists and reverse cloud models.
Weiping Ding, Senbo Chen, Xuehua Shen, Qi Gu, and Huiping Liu.
Proceeding of 2013 6rd International Congress on Image and Signal Processing (CISP 2013)

A novel quantum cooperative co-evolutionary algorithm for large-scale minimum attribute reduction optimization.
Weiping Ding, Quan Shi, Senbo Chen, Zhijin Guan, and Jiandong Wang.
Proceedings of IEEE Symposium Series on Computation al Intelligence (SSCI), 2013, April 16-19, pp.280-286. Singapore.

An arithmetic logic unit design based on reversible logic gates
Zhijin Guan, Wenjuan Li, Weiping Ding, Yueqin Hang, and Lihui Ni, "An arithmetic logic unit design based on reversible logic gates
2011 IEEE Pacific RIM Conference on Communications, Computers, and Signal Processing (PacRim 2011)

Rough knowledge mining algorithm for electronic patient record system based on decision rule lattice
Weiping Ding, Jiandong Wang, Zhijin Guan, Hao Zhu, and Quan Shi
International Conference on Artificial Intelligence and Computational Intelligence, Oct. 23-24, 2010, pp.161-165, Sanya, China

Research of electronic patient record mining based on rough concept lattice
Weiping Ding, Zhijin Guan, Quan Shi, and Zhenguo Shi
The 2009 International IEEE Workshop Conference on Intelligent Systems and Applications, IEEE Computer Science, May 22-24, 2009, pp. 1-4, Wuhan, China.

Research of rough approximation in concept lattice and rules mining
Weiping Ding, Quan Shi, Zhijin Guan, and Zhenguo Shi
In: The Second Annual Conference of Jiangsu Young Scientists, 2008, Sep. 28-29, pp.148-158, Nanjing, China.

Association rules and its application in electronic patient record
Weiping Ding, Xiaolong Xu, and Hen Qi
The first Annual Conference of Jiangsu Young Scientists, pp.188-193, June 24-25, 2006, Nanjing, China.

Application of fuzzy logic reasoning in intelligent assistant diagnosis system of electronic patient record
Weiping Ding, Weijiang Gu, and Jiancheng Dong
In 2007 Advances in Chinese Biomedical Engineering, pp.1274-1278, 2017, Xi’an, China

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• Artificial Intelligence
• Computational Intelligence
• Data Mining
• Data Structure
• Operation System
• Computer System Architecture
• C++ Program Design
• Software Engineer

• The Joint Fund of the National Natural Science Foundation of China and the Civil Aviation of China: "Research and cooperative optimization method of energy efficiency of airport flight area under the condition of large-area flight delay" (No.U2433216) 2025.1-2028.12.
• National Key Research and Development Program of China:"Collaborative research on fine-scale analysis of high-spatio-temporal throughput medical data and key technologies for security sharing"（No.2024YFE0202700）2025.1-2027.12.
• The Modern Agricultural Machinery Equipment and Technology Extension Project of Jiangsu Province : "Research and application of intelligent breeding and harvesting technology and equipment for laver” (No.NJ2024-06), 2024.8-2026.8.
• National Natural Science Foundation of China: Knowledge Collaborative Reduction Theories and Approaches of Large-scale Electronic Medical Records for Cloud Computing (No.61976120) 2020.1-2023.12.
• National Natural Science Foundation of China: Research on Mechanism and Model of Attribute Co-evolutionary Reduction for Incomplete Electronic Medical Record (No.61300167), 2014.1-2016.12.
• Natural Science Foundation of Jiangsu Province, China: Model and Algorithm Research of Multi-granularity Computing-based Multi-modal Big Data Knowledge Discovery (No. BK20231337 ), 2023.7-2026.6.
• Natural Science Foundation of Jiangsu Province, China: Research on uncertainty knowledge discovery of big data electronic medical records based on multi-granularity cognition (No.BK20191445 ), 2019.7-2022.6.
• Natural Science Foundation of Jiangsu Province, China: Research on the key technology of knowledge co-evolutionary reduction based on cloud computing for large-scale electronic medical records (No.BK20151274), 2015.7-2017.6.
• Natural Science Key Foundation of Jiangsu Education Department, China:Research on multi-granularity knowledge discovery method and its key technologies of integrated optimization for multi-mode Big Data (No.21KJA510004) 2021.9-2024.8.
• Outstanding Talent Project of Six Peaks of Jiangsu Province, China: The coordinated mining cloud system of electronic medical record under the big datasets (No.XYDXXJS-048), 2016.9-2018.8.

• Stanford's World's Top 2% Researcher (2021-2024)
• Outstanding Associate Editor of 2023 for IEEE/CAA Journal of Automatica Sinica
• Jiangsu Natural Science Research Achievement Award (First-Class) (2021)
• Middle-aged and Young Academic Leaders (Qing Lan Project), Jiangsu Province, China (2019)
• Outstanding Associate Editor for IEEE Access (2018)
• Outstanding Talent (Six Talent Peaks), Jiangsu Province, China (2016)
• Jiangsu Education Teaching and Research Achievement Award (Natural Science Research Category) (Third-Class) (2018)
• Best Paper Award of International Conference on Data Mining and Applications (ICDMA-15), HongKong (2015)
• Outstanding Young Backbone Teacher (Qing Lan Project), Jiangsu Province, China (2014)
• Science and Technology Progress Award (Second Class), Nantong City Government, China (2018)
• Medical Science and Technology Award, Jiangsu Province, China (2017)
• Natural Science Outstanding Academic Paper Award (First Class), Nantong City, China (2017)
• Excellent Paper Award (First-Prize) of Computer Education by the National Committee of Computer Education, China (2009)
• Science and Technology Advancement Award (Second-Class ), Nantong City Government, China (2013)
• Excellent Paper Award , Nanjing City Government, China (2013)
• Excellent Paper Award, Nantong City Government, China (2016)
• Annual Teaching Excellence Awards of Nantong University, China (2012)
• Excellent Worker, Jiangsu Province Computer Federation, China (2009)
• Best Innovation Good Youth, Nantong university, China (2014)
• Excellent education workers, Nantong university, China (2012)
• Gold-Bridge Project Staff Award, Nantong University, China (2007)

(Updated in October 5, 2024)