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Professor Weiping Ding


Dr. Weiping Ding 

Professor Master Supervisor/Doctoral Supervisor 

University Email: (1) ding.wp@ntu.edu.cn (2) dwp9988@163.com  

 

Profile

Dr. Weiping Ding , Professor, Doctoral Supervisor, Senior Member of IEEE, Senior Member of CCF, Associate Dean of the School of Information Science and Technology, Nantong University, Researcher at the University of Technology Sydney, PhD Supervisor at City University of Macau, High-level Talent of Jiangsu Province's “Six Talent Peaks”, Young and Middle-aged Academic Leader of Jiangsu Province's “Blue and Green Project”, Main research interests are artificial intelligence and computational intelligence, intelligent analysis of medical images, and multimodal machine learning. “Youth Blue Project” young and middle-aged academic leaders in Jiangsu Province. His main research directions are artificial intelligence and computational intelligence, intelligent analysis of medical images, multi-modal machine learning and optimization, deep neural networks, brain cognition research, granular computing and its application in uncertain big data, etc. Currently serves as the founding chair of the IEEE-CIS Task Force on Granular Data Mining for Big Data, a member of the IEEE-CIS Data Mining and Big Data Analytics Committee, a member of the IEEE-SMC Granular Computing Committee, a member of the IEEE-SMC Soft Computing Committee, a member of the CCF Artificial Intelligence and Pattern Recognition Committee , CAAI Particle Computing and Knowledge Discovery Committee, CAAI Intelligent Service Committee Member, in recent years, he has successively visited National Chiao Tung University in Taiwan, the University of Lethbridge in Canada, the National University of Singapore in Singapore, and the University of Technology Sydney in Australia for postdoctoral research, academic visits, and scientific research collaborations. 

In recent years he has presided over/completed more than 20 research projects funded by the National Natural Science Foundation of China, the Natural Science Foundation of Jiangsu Province, and the Natural Science Research Program of Jiangsu Province Universities. He has published more than 200 high-level papers in international journals and conferences such as IEEE TFS, IEEE TNNLS, I IEEE TCYB, IEEE TITS, IEEE TBME, IEEE TEVC, IEEE TETCI, IEEE TCDS and other international journals and conferences, publishing more than 200 high-level papers, 16 of which were selected as “ESI highly cited papers”. Authorized 27 Chinese invention patents, 1 US invention patent, and 1 Australian invention patent. Related achievements include first prize in the Jiangsu Province Higher Education Scientific and Technological Research Achievement Award, third prize in the Jiangsu Province Education Teaching and Research Achievement Award, second prize in the Jiangsu Medical Science and Technology Award, and third prize in the Jiangsu Province Higher Education Scientific Research Achievement Award. 

In recent years he has served as an associate editor, editorial board member, or editorial board member of a number of internationally renowned journals, including IEEE Transactions on Fuzzy Systems, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Intelligent Transportation Systems, IEEE/CAA Journal of Automatica Sinica, IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Transactions on Intelligent Vehicles, IEEE Transactions on Artificial Intelligence, Information Fusion, Information Sciences, Applied Soft Computing, Neurocomputingen Swarm and Evolutionary Computation, Engineering Applications of Artificial Intelligence, etc., and served as the co-founding editor-in-chief of the Journal of Artificial Intelligence and Systems and Artificial Intelligence Advances. As guest editor, he has organized several special issues in internationally renowned journals such as IEEE Transactions on Evolutionary Computation, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Emerging Topics in Computational Intelligence, Information Fusion, and Information Sciences. 

 

Education 

2014 Brain Research Center, National Chiao Tung University, Taiwan, Postdoctoral, China 

2013 College of Computer Science and Technology of Nanjing University of Aeronautics and Astronautics, PhD, China 

 

Subjects Taught 

Artificial intelligence, computational intelligence, data mining, machine learning, data structures, operating systems, C++ programming, etc. 

 

Research Directions 

Artificial intelligence and computational intelligence, intelligent analysis of medical images, multimodal machine learning and optimization, deep neural networks, brain cognition research, granular computing and its application in uncertain big data 

 

Current 

    1. Vice President of Information Science, Nantong University, Doctor, Professor, Doctoral Supervisor 

    1. Researcher, University of Technology Sydney 

    1. Master's and Doctoral Supervisor, City University of Macau 

    1. Associate Editor-in-Chief, IEEE Transactions on Fuzzy Systems (CAS JCRQ1, Impact Factor IF: 11.9) 

    1. Associate Editor, IEEE Transactions on Neural Networks and Learning Systems (CAS JCRQ1, Impact Factor 10.4) 

    1. Editorial Board Member, Information Fusion (C CAS JCRQ1, Impact Factor 18.6) 

    1. Editorial Advisory Board Member, Knowledge-Based Systems (CAS JCRQ1, Impact Factor IF: 8.8) 

    1. Associate Editor, IEEE/CAA Journal of Automatica Sinica (CAS JCRQ1, Impact Factor IF: 11.8) 

    1. Associate Editor, IEEE Transactions on Emerging Topics in Computational Intelligence (C CAS JCRQ2, Impact Factor IF: 5.3) 

    1. Associate Editor, IEEE Transactions on Intelligent Vehicles (CAS JCRQ2, Impact Factor IF: 8.2) 

    1. Associate Editor, IEEE Transactions on Artificial Intelligence 

    1. Associate Editor, Information Sciences (CAS JCRQ1, Impact Factor IF: 8.1) 

    1. Editorial Board Member, Engineering Applications of Artificial Intelligence (CAS JCRQ2, Impact Factor IF: 8.0) 

    1. Editorial Board Member, Applied Soft Computing(CAS JCRQ1, Impact Factor IF: 8.7) 

    1. Associate Editor, Swarm and Evolutionary Computation (CAS JCRQ1, Impact Factor IF: 10.0) 

    1. Associate Editor, Neurocomputing (CAS JCRQ2, Impact Factor IF: 6.0) 

    1. Associate Editor, Journal of Intelligent & Fuzzy Systems (CAS JCRQ4, Impact Factor IF: 2.0) 

    1. Co-Editor-in-Chief, Journal of Artificial Intelligence and Systems 

    1. Co-Editor-in-Chief, Artificial Intelligence Advances 

 

Research and publications 

Refereed Journal Articles 

    1. Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, and Witold Pedrycz, “Multimodal Infant Brain Segmentation by Fuzzy-informed Deep Learning,” IEEE Transactions on Fuzzy Systems, doi:10.1109/TFUZZ.2021.3052461. (CAS JCR Q1) 

    1. Weiping Ding, Witold Pedrycz, Isaac Triguero, Zehong Cao, and Chin-Teng Lin, “Multigranulation Super-Trust Model for Attribute Reduction,” IEEE Transactions on Fuzzy Systems, 2021, 29(6): 1395-1408. doi:10.1109/TFUZZ.2020.2975152. (CAS JCR Q1) 

    1. Weiping Ding, Shouvik Chakraborty, Kalyani Mali, Sankhadeep Chatterjee, Janmenjoy Nayak, Asit Kumar Das and Soumen Banerjee, “An Unsupervised Fuzzy Clustering Approach for Early Screening of COVID-19 from Radiological Images,” IEEE Transactions on Fuzzy Systems, doi:10.1109/TFUZZ.2021.3097806. (CAS JCR Q1) 

    1. Weiping Ding, Chin-Teng Lin, Mukesh Prasad, Zehong Cao, and Jiandong Wang, “A layered- coevolution-based attribute-boosted reduction using adaptive quantum behavior PSO and its consistent segmentation for neonates brain tissue,” IEEE Transactions on Fuzzy Systems, 2018, 26 (3): 1177-1191. doi:10.1109/TFUZZ.2017.2717381. (CAS JCR Q1) 

    1. Weiping Ding, Witold Pedrycz, and Chin-Teng Lin, “Guest Editorial for the Special Issue on Fuzzy Rough Sets for Big Data,” IEEE Transactions on Fuzzy Systems, 2020, 28(5): 803-805. doi:10.1109/TFUZZ.2020.2979204. (CAS JCR Q1) 

    1. Weiping Ding, Chin-Teng Lin, and Zehong Cao, “Shared nearest-neighbor quantum game-based attribute reduction with hierarchical coevolutionary Spark and its application in consistent segmentation of neonatal cerebral cortical surfaces,” IEEE Transactions on Neural Networks and Learning Systems, 2 019, 30 (7): 2013-2027. doi:10.1109/TNNLS. 2018.2872974. (CAS JCR Q1) 

    1. Weiping Ding, Chin-Teng Lin, and Zehong Cao, “Deep neuro-cognitive co-evolution for fuzzy attribute reduction by quantum leaping PSO with nearest-neighbor memeplexes,” IEEE Transactions on Cybernetics, 201 9, 49(7):2744-2757. doi:10.1109/TCYB.2018. 2834390. (CAS JCR Q1) 

    1. Weiping Ding, Chin-Teng Lin, and Witold Pedrycz, “Multiple relevant feature ensemble selection based on multilayer co-evolutionary consensus MapReduce,” IEEE Transactions on Cybernetics, 2020, 50(2): 425-439. doi:10.1109/TCYB.2018.2859342. (CAS JCR Q1) 
       

    1. Weiping Ding, Mohamed Abdel-Basset, Khalid A. Eldrandaly, Laila Abdel-Fatah, and Victor Hugo C. de Albuquerque, “Smart Supervision of Cardiomyopathy based on Fuzzy Harris Hawks Optimizer and Wearable Sensing Data Optimization: A New Model,” IEEE Transactions on Cybernetics netics, 2021, 51(10): 4944-4958. doi: 10.1109/TCYB.2020.3000440. (CAS JCR Q1) 

    1. Weiping Ding, Chin-Teng Lin, Mukesh Prasad, Senbo Chen, and Zhijin Guan, “Attribute equilibrium dominance reduction accelerator (DCCAEDR) based on distributed co-evolutionary cloud and its application in medical records,” IEEE Transactions on Systems, Man, and Cyber netics: Systems, 2016, 46(3): 384-400. doi:10.1109/ TSMC.2015.2464787. (CAS JCR Q1) 

    1. Weiping Ding, Janmenjoy Nayak, Bighnaraj Naik, Danilo Pelusi, and Manohar Mishra, “Fuzzy and Real Coded Chemical Reaction Optimization for Intrusion Detection in Industrial Big Data Environment,” IEEE Transactions on Industrial Informatics, 20 21, 17(6): 4298-4307. doi: 10.1109/TII.2020.3007419. (CAS JCR Q1) 

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

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

    1. Weiping Ding, Yurui Ming, Zehong Cao, and Chin-Teng Lin, “A Generalized Deep Neural Network Approach for Digital Watermarking Analysis,” IEEE Transactions on Emerging Topics in Computational Intelligence, 2022, 6(3): 613-627. doi: 10.1109/TETCI.2021.3055520 

    1. Weiping Ding, Witold Pedrycz, Gary G. Yen, Bing Xue, “Guest Editorial Evolutionary Computation Meets Deep Learning,” IEEE Transactions on Evolutionary Computation, 2021, 25(5): 810-814. doi:10.1109/TEVC.2021.3096336. (CAS JCR Q1) 

    1. Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, and Osama M. Elkomy, “MT-nCov-Net: Multi-Task Deep Learning Framework for Efficient Diagnosis of COVID-19” IEEE Transactions on Cybernetics, doi: 10.1109/TCYB.2021.3123173. (CAS JCR Q1) 

    1. Weiping Ding, Ming Li, Ying Sun, Jun Liu, Hengrong Ju, Jiashuang Huang, and Chin-Teng Lin, “A Novel Spark-based Attribute Reduction and Neighborhood Classification for Rough Evidence,” IEEE Transactions on Cybernetics, doi:10.1109/TCYB.2022.3208130 (CAS JCR Q1) 
       

    1. Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, Mahardhika Pratama, and Witold Pedrycz “Generalizable Segmentation of COVID-19 Infection from Multi-Site Tomography Scans: A Federated Learning Framework,” IEEE Transactions on Emerging Topics in Computational Intelligence, doi:10.1109/TETCI.2023.3245103. (CAS JCR Q2) 

    1. Lin Sun, Lanying Wang, Weiping Ding, Yuhua Qian, and Jiucheng Xu, “Feature Selection Using Fuzzy Neighborhood Entropy-Based Uncertainty Measures for Fuzzy Neighborhood Multi-Granulation Rough Sets” IEEE Transactions on Fuzzy Systems, 2021, 29(1): 19-33. doi:10.1109/TFUZZ. 2020.2989098. (CAS JCR Q1 

    1. Lin Sun, Tengyu Yin, Weiping Ding, Yuhua Qian, and Jiucheng Xu, “Feature Selection with Missing Labels Using Multilabel Fuzzy Neighborhood Rough Sets and Maximum Relevance Minimum Redundancy” IEEE Transactions on Fuzzy Systems, 20 22, 30(5): 1197-1211. doi:10.1109/TFUZZ. 2021.3053844. (CAS JCR Q1) 

    1. Cuiping Cheng, Weiping Ding, Fuyuan Xiao, and Witold Pedrycz, “A majority rule-based measure for Atanassov type intuitionistic membership grades in MCDM,” IEEE Transactions on Fuzzy Systems, 202 2, 30(1): 121-132. doi:10.1109/TFUZZ.2020.3033062. (CAS JCR Q1) 

    1. Liming Fang, Xinyu Yun, Changchun Yin, Weiping Ding, Lu Zhou, Zhe Liu, and Chunhua Su, “ANCS: Automatic NXDomain Classification System based on Incremental Fuzzy Rough Sets Machine Learning,” IEEE Transactions on Fuzzy Systems, 2021, 29(4): 742-756. doi:10.1109/TFUZZ.2020. 2965872. (CAS JCR Q1) 

    1. Renato W. R. de Souza, Joao V. C. de Oliveira, Leandro A. Passos, Weiping Ding, Joao P. Papa, and Victor Hugo C. de Albuquerque, “A Novel Approach for Optimum-Path Forest Classification Using Fuzzy Logic,” IEEE Transactions on Fuzzy Systems, 2020, 8(12):3076-3086. doi: 10.1109/TFUZZ.2019.2949771 (CAS JCR Q1) 

    1. 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, “A New Design of Mamdani Complex Fuzzy Inference System for Multi-attribute Decision Making Problems,” IEEE Transactions on Fuzzy Systems, 2021, 29 (4) :716-730. doi:10.1109/TFUZZ.2019.2961350. (CAS JCR Q1) 

    1. Chongsheng Zhang, Weiping Ding, Guowen Peng, Feifei Fu, and Wei Wang, “Street View Text Recognition with Deep Learning for Scene Understanding in Intelligent Transportation Systems,” IEEE Transactions on Intelligent Transportation Systems, 2021, 22(7): 4727-4743. doi: 10.1109/TITS.2020. 3017632 (CAS JCR Q1) 

    1. Junqin Huang, Linghe Kong, Hong-Ning Dai, Weiping Ding, Long Cheng, Guihai Chen, Xi Jin, and Peng Zeng, “Blockchain Based Mobile Crowd Sensing in Industrial Systems,” IEEE Transactions on Industrial Informatics, 2020 , 16(10): 6553-6563, doi:10.1109/TII. 2019.2963728. (CAS JCR Q1) 

    1. Jieting Wang, Yuhua Qian, Feijiang Li, Jiye Liang, and Weiping Ding, “Fusing Fuzzy Monotonic Decision Trees,” IEEE Transactions on Fuzzy Systems, 2020, 2 8 (5): 887-900. doi: 10.1109/ TFUZZ.2019.2953024. (CAS JCR Q1) 
       

    1. Muhammad Sajjad, Irfan Tahir, Khan Muhammad, Javier Del Ser, Javier Sanchez-Medina, Sergey Andreev, Weiping Ding, and Jong Weon Lee, “An Efficient and Scalable Simulation Model for Autonomous Vehicles with Economical Hardware,” IEEE Transactions on Intelligent Transportation Systems , 2021, 22(3):1718-1732. doi: 10.1109/TITS.2020. 2980855. (CAS JCR Q1) 

    1. Zehong Cao, Chin-Teng Lin, Weiping Ding, Mu-Hong Chen, Cheng-Ta Li, and Tung-Ping Su, “Identifying Ketamine Responses in Treatment-Resistant Depression Using a Wearable Forehead EEG,” IEEE Transactions on Biomedical Engineering, 2019, 66(6): 1668-1679. doi:10.1109/TBME.2018.2877651. (CAS JCR Q2) 

    1. Mukesh Prasad, Chin-Teng Lin, Dong-Lin Li, Chao-Tien Hong, Weiping Ding, and Jyh-Yeong Chang, “Soft-boosted self-constructing neural fuzzy inference network,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017, 47(3): 584-588. doi:10.1109/TSMC.2015. (CAS JCR Q1) 

    1. Muhammad Tariq Sadiq, Xiaojun Yu, Zhaohui Yuan, Muhammad Zulkifal Aziz, Siuly Siuly and Weiping Ding, “A Matrix Determinant Feature Extraction Approach for Decoding Motor and Mental Imagery EEG in Subject Specific Tasks ,” IEEE Transactions on Cognitive and Developmental Systems, 2022, 14(2): 375-387. doi:10.1109/TCDS.2020.3040438 

    1. Ye Shi, Chin-Teng Lin, Yu-Cheng Chang, Weiping Ding, Yuhui Shi, and Xin Yao, “Consensus learning for distributed fuzzy neural network in big data environment,” IEEE Transactions on Emerging Topics in Computational Intelligence, 2021, 5(1): 29-41. doi: 10.1109/TETCI.2020. 2998919 

    1. Shiming Chen, Wenjie Wang, Beihao Xia, Xinge You, Qinmu Peng, Zehong Cao, and Weiping Ding, “CDE-GAN: Cooperative Dual Evolution Based Generative Adversarial Network,” IEEE Transactions on Evolutionary Computation, 2021, 25(5): 986-1000. doi: 10.1109/TEVC.2021.3068842. (CAS JCR Q1) 

    1. Xinyan Liang, Qian Guo, Yuhua Qian, Weiping Ding, and Qingfu Zhang, “Evolutionary Deep Fusion Method and Its Application in Chemical Structure Recognition,” IEEE Transactions on Evolutionary Computation, 2021, 25(5): 883-893. doi: 10.1109/TEVC. 2021.3064943 (CAS JCR Q1) 

    1. Akshansh Gupta, Ramesh Kumar Agrawal, Jyoti Singh Kirar, Javier Andrew, Wei-Ping Ding, Chin-Teng Lin, and Mukesh Prasad. “On the utility of Power Spectral Techniques with feature selection Techniques for Effective Mental Task Classification in Non-invasive BCI,” IEEE Transactions on Systems , Man, and Cybernetics: Systems, 2021, 51(5): 3080-3092. doi: 10.1109/TSMC.2019.2917599 (CAS JCR Q1) 

    1. Fang-Qi Li, Shi-Lin Wang, Alan Wee-Chung Liew, Weiping Ding, and Gong-Shen Liu, Large-Scale “Large-Scale Malicious Software Classification with Fuzzified Features and Boosted Fuzzy Random Forest,” IEEE Transactions on Fuzzy Systems, 2021, 29(11):3205-3218. doi: 10.1109/TFUZZ.2020.3016023. (CAS JCR Q1) 

    1. Muhammad Sajjad , Ijaz Ul Haq , Jaime Lloret , Weiping Ding, and Khan Muhammad , “Robust Image Hashing Based Efficient Authentication for Smart Industrial Environment,” IEEE Transactions on Industrial Informatics, 2019,1 5(12): 6541-6550. doi: 10.1109/TII.2019. 2921652. (CAS JCR Q1) 
       

    1. Wensheng Gan, Zilin Du, Weiping Ding, Chunkai Zhang, and Han-Chieh Chao, “Explainable Fuzzy Utility Mining on Sequences,” IEEE Transactions on Fuzzy Systems, 2021, 29 (12): 3620-3634. doi:10.1109/TFUZZ.2021.3089284. (CAS JCR Q1) 

    1. Bo˙zena Małysiak-Mrozek, Jadwiga Wieszok, Witold Pedrycz, Weiping Ding, and Dariusz Mrozek, “High-Efficient Fuzzy Querying with HiveQL for Big Data Warehousing,” IEEE Transactions on Fuzzy Systems, 2022, 30(6): 1823-1837. doi:10.1109/TFUZZ. 2021.3069332. (CAS JCR Q1) 

    1. Jianming Zhan, Jin Ye, Weiping Ding, Peide Liu, “A novel three-way decision model on utility theory in incomplete fuzzy decision systems,” IEEE Transactions on Fuzzy Systems, 2022, 30( 7): 2210-2226. doi: 10.1109/TFUZZ.2021.3078012. (CAS JCR Q1) 

    1. Muhammad Tariq Sadiq, Xiaojun Yu, Zhaohui Yuan, Muhammad Zulkifal Aziz, Naveed ur Rehman, Weiping Ding, Gaoxi Xiao. “Motor Imagery BCI Classification Based on Multivariate Variational Mode Decomposition,” IEEE Transactions on Emerging Topics in Computational Intelligence, 2022, 6(5): 1177-1189. doi: 10.1109/TETCI.2022.3147030 

    1. Jing He, Lei Shen, Yudong Yao, Huaxia Wang, Member, Guodong Zhao, Xiaowei Gu, and Weiping Ding, “Finger Vein Image Deblurring Using Neighbors-based Binary-GAN (NB-GAN),” IEEE Transactions on Emerging Topics in Computational Intelligence, 2023, 7(2): 295-307. doi: 10.1109/TETCI.2021.3097734 

    1. Jinkun Chen, Yaojin Lin, Jusheng Mi, Shaozi Li, and Weiping Ding, “A Spectral Feature Selection Approach with Kernelized Fuzzy Rough Sets,” IEEE Transactions on Fuzzy Systems, 2022, 30(8): 2886-2901. doi: 10.1109/TFUZZ.2021.3096212 (CAS JCR Q1) 

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

    1. Changzhong Wang, Yuhua Qian, Weiping Ding, Xiaodong Fan, “Feature selection with fuzzy-rough minimum classification error criterion,” IEEE Transactions on Fuzzy Systems, 2022,30(8): 2930-2942. doi:10.1109/TFUZZ.2021.3097811 (CAS JCR Q1) 

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

    1. Linyao Yang, Chen Lv, Xiao Wang, Ji Qiao, Weiping Ding, Jun Zhang, and Fei-Yue Wang, “Collective Entity Alignment for Knowledge Fusion of Power Grid Dispatching Knowledge Graphs,” IEEE/CAA Journal ofAutomatica Sinica, 2022, 9(11): 1990-2004. doi: 10.1109/JAS.2022.105947 

    1. Zuowei Zhang, Songtao Ye, Yiru Zhang, Weiping Ding, and Hao Wang, “Belief combination of classifiers for incomplete data,” IEEE/CAA Journal of Automatica Sinica, 2022, 9(4): 652-667. doi: 10.1109/JAS.2022.105458(CAS JCR Q1) 

    1. Xudong He, Jian Wang, Jiqiang Liu, Weiping Ding, Zhen Han, Bin Wang, Jamel Nebhen, Wei Wang, “DNS Rebinding Threat Modelling and Security Analysis for Local Area Network of Maritime Transportation Systems,” IEEE Transactions on Intelligent Transportation Systems , 2023,24(2):2643-2655.doi:10.1109/TITS.2021.3135197 (CAS JCR Q1) 

    1. Shuai Liu, Shuai Wang, Xinyu Liu, Jianhua Dai, Khan Muhammad, Amir H. Gandomi, Weiping Ding, Mohammad Hijji, Victor Hugo C. de Albuquerque, “Human Inertial Thinking Strategy: A Novel Fuzzy Reasoning Mechanism for IoT-Assisted Visual Monitoring ,” IEEE Internet of Things Journal, 2023, 10(5), 3735-3748. doi:10.1109/JIOT.2022.3142115 (CAS JCR Q1) 

    1. Shiming Chen, Ziming Hong, Guosen Xie, Qinmu Peng, Xinge You, Weiping Ding, and Ling Shao, “GNDAN: Graph Navigated Dual Attention Network for Zero-Shot Learning,” IEEE Transactions on Neural Networks and Learning Systems, doi:10.1109/TNNLS. 2022.3155602 (CAS JCR Q1) 

    1. Di Jin, Tao Wang, Rui Wang, Dongxiao He, Weiping Ding, Yuxiao Huang, Longbiao Wang, Witold Pedrycz, “Amer: A New Attribute-Missing Network Embedding Approach,” IEEE Transactions on Cybernetics, 2 023, 53(7): 4306-4319. doi:10.1.109/TCYB.2022.3166539 (CAS JCR Q1) 

    1. Diego García-Zamora, Alvaro Labella, Weiping Ding, Rosa M. Rodríguez, Luis Martínez López, “Large-Scale Group Decision Making: A Systematic Review and a Critical Analysis” IEEE/CAA Journal of Automatica Sinica, 2 022, 9(6): 949-966. doi:10.1109/JAS. 2022.105617. (CAS JCR Q1) 

    1. Shuwen Wang, Xingquan Zhu, Weiping Ding, Amir Alipour. Yengejeh, “Cyberbullying and Cyberviolence Detection: A Triangular User-Activity-Content View,” IEEE/CAA Journal of Automatica Sinica, 2 022, 9(8): 1384-1405. doi:10.1109/JAS.2022.105740. (CAS JCR Q1) 

    1. Fang-Qi Li, Rui-Jie Zhao, Shi-Lin Wang, Li-Bo Chen, Alan Wee-Chung Liew, Weiping Ding, “Online Intrusion Detection for IoT Systems with Full Bayesian Possibilistic Clustering and Ensembled Fuzzy Classifiers,” IEEE Transactions on Fuzzy Systems, 2022,30(11): 4605-4617. doi:10.1109/TFUZZ.2022.3165390. (CAS JCR Q1) 

    1. Weihua Xu, Kehua Yuan, Wentao Li, Weiping Ding, “An Emerging Fuzzy Feature Selection Method Using Composite Entropy-Based Uncertainty Measure and Data Distribution,” IEEE Transactions on Emerging Topics in Computational Intelligence, 2023,7(11): 76-88. doi: 10.1109/TETCI. 2022.3171784. 
       

    1. Wentao Liu, Xiaolong Xu, Lianxiang Wu, Lianyong Qi, Alireza Jolfaei, Weiping Ding, Mohammad R. Khosravi, “Intrusion Detection for Maritime Transportation Systems with Batch Federated Aggregation,” IEEE Transactions on Intelligent Transportation Systems, 2023, 24(2): 2503-2514. doi:10.1109/TITS.2022.3181436. (CAS JCR Q1) 

    1. Jinghua Liu, Yaojin Lin, Weiping Ding, Hongbo Zhang, and Jixiang Du, “Fuzzy mutual information-based multi-label feature selection with label dependency and streaming labels,” IEEE Transactions on Fuzzy Systems, 2 023,31(1): 77-91. doi:10.1109/TFUZZ.2022.3182441. (CAS JCR Q1) 

    1. Qiong Chen, Weiping Ding, Xiaomeng Huang, and Hao Wang, “Generalized Interval Type II Fuzzy Rough Model Based Feature Discretization Oriented to Mixed Pixels,” IEEE Transactions on Fuzzy Systems, 2023 , 31(3): 845-859. doi:10.1109/TFUZZ.2022.3190625. (CAS JCR Q1) 

    1. Yangyang Zhao, Fuyuan Xiao, Masayoshi Aritsugi, Weiping Ding, “A Quantum Tanimoto Coefficient Fidelity for Entanglement Measurement,” IEEE/CAA Journal of Automatica Sinica, 2023,10(2) 439-450. doi:10.1109/JAS.2022.106079. (CAS JCR Q1) 

    1. Jianming Zhan, Jiajia Wang, Weiping Ding, Yiyu Yao, “Three-way Behavioral Decision Making with Hesitant Fuzzy Information Systems: Survey and Challenges,” IEEE/CAA Journal of Automatica Sinica, 20 23, 10(2): 330-350. doi:10.1109/JAS.2022.106061. (CAS JCR Q1) 

    1. Weihua Xu, Yanzhou Pan, Xiuwei Chen, Weiping Ding, and Yuhua Qian, “A Novel Dynamic Fusion Approach Using Information Entropy for Interval-Valued Ordered Datasets,” IEEE Transactions on Big Data, doi:10.1109/TBDATA.2022.3215494. (CAS JCR Q1) 

    1. Chuansheng Liu, Weiping Ding, Chun Cheng, Cheng Tang, Jiashuang Huang, and Haipeng Wang, “DenseHashNet: A Novel Deep Hashing for Medical Image Retrieval,” IEEE Journal of Radio Frequency Identification, 2022,6: 697-702. doi:10.1109/JRFID.2022.3209986. 

    1. Weihua Xu, Doudou Guo, Yuhua Qian, Weiping Ding, “Two-way Concept-cognitive Learning Method: A Fuzzy-based Progressive Learning,” IEEE Transactions on Fuzzy Systems, doi: 10.1109/TFUZZ.2022.3216110. (CAS JCR Q1) 

    1. Yonglin Tian, Yu Shen, Xiao Wang, Jiangong Wang, Kunfeng Wang, Weiping Ding, Zilei Wang, and Fei-Yue Wang, “Learning Lightweight Dynamic Kernels with Attention Inside via Local and Global Fusion,” IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2022.3217301. (CAS JCR Q1) 

    1. Wentao Li, Shichao Zhai, Weihua Xu, Witold Pedrycz, Yuhua Qian, Weiping Ding, and Tao Zhan, “Feature Selection Approach Based on Improved Fuzzy C-Means with Principle of Refined Justifiable Granularity,” IEEE Transactions on Fuzzy Systems, doi:10.1109/TFUZZ.2022.3217377. (CAS JCR Q1) 
       

    1. Qiong Chen, Liangru Xie, Lirong Zeng, Sining Jiang, Weiping Ding, Xiaomeng Huang, and Hao Wang, “Neighborhood Rough Residual Network Based Outlier Detection Method in IoT-Enabled Maritime Transportation Systems,” IEEE Transactions on Intelligent Transportation Systems, doi:10.1109/TITS.2023.3285615. (CAS JCR Q1) 

    1. Lin Sun, Tianxiang Wang, Weiping Ding, Jiucheng Xu, “Partial Multilabel Learning Using Fuzzy Neighbourhood-Based Ball Clustering and Kernel Extreme Learning Machine,” IEEE Transactions on Fuzzy Systems, doi:10.1109/TFUZZ.2022.3222941. (CAS JCR Q1) 

    1. Can Gao, Yangbo Wang, Jie Zhou, Weiping Ding, Linlin Shen, Zhihui Lai, “Possibilistic Neighborhood Graph: A New Concept of Similarity Graph Learning,” IEEE Transactions on Emerging Topics in Computational Intelligence, doi:10.1109/TETCI.2022.3225173. (CAS JCR Q2) 

    1. Jintao Huang, Wenbin Qian, Chi-Man Vong, Weiping Ding, Wenhao Shu, Qin Huang, “Multi-label Feature Selection via Label Enhancement and Analytic Hierarchy Process,” IEEE Transactions on Emerging Topics in Computational Intelligence, doi:10.1109/TETCI. 2022.3231655. (CAS JCR Q2) 

    1. Weihua Xu, Doudou Guo, Jusheng Mi, Yuhua Qian, Weiping Ding, “A novel approach to two-way concept-cognitive learning via concept movement viewpoint,” IEEE Transactions on Neural Networks and Learning Systems, doi:10.1109/TNNLS.2023.3235800. (CAS JCR Q1) 

    1. Zuowei Zhang, Songtao Ye, Zechao Liu, Hao Wang, and Weiping Ding, “Deep Hyperspherical Clustering for Skin Lesion Medical Image Segmentation,” IEEE Journal of Biomedical and Health Informatics, 2023,27(8): 3770-3381. doi:10.1109/ JBHI.2023. 3240297. 

    1. Guoxia Xu, Chunming He, Hao Wang, Hu Zhu, and Weiping Ding, “DM-Fusion: Deep Model-driven Network for Heterogeneous Image Fusion,” IEEE Transactions on Neural Networks and Learning Systems, doi:10.1109/TNNLS.2023.3238511. (CAS JCR Q1) 

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

    1. Guojin Zhong, Weiping Ding, Long Chen, Guoxia Xu, and Yu-Feng Yu, “Multi-scale Attention Generative Adversarial Network for Medical Image Enhancement,” IEEE Transactions on Emerging Topics in Computational Intelligence, doi:10.1109/TETCI.2023.3243920. 

    1. Jiayi Sun, Wensheng Gan, Han-Chieh Chao, Philip S. Yu, and Weiping Ding, “Internet of Behaviors: A Survey,”IEEE Internet of Things Journal, doi:10.1109/JIOT.2023.3247594 (CAS JCR Q1) 
       

    1. 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 Carrass i, Marc Bocquet, Rossella Arcucci, “Machine Learning with data assimilation and uncertainty quantification for dynamical systems: a review,” IEEE/CAA Journal of Automatica Sinica, doi:10.1109/JAS.2023.123537 (CAS JCR Q1) 

    1. Ripon K. Chakrabortty, Mohammad Humyun Fuad Rahman, Weiping Ding, “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,” IEEE Transactions on Industrial Informatics, 2023, 19(3): 3296-3299. doi:10.1109/TII.2023. 3246645. (CAS JCR Q1) 

    1. Qinghua Zhang, Fan Zhao, Yunlong Cheng, Man Gao, Guoyin Wang, Shuyin Xia and Weiping Ding, “Effective value analysis of fuzzy similarity relation in HQSS for efficient granulation,” IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2023.3265310. (CAS JCR Q1) 

    1. Zhongyi Cai, Jingya Wang, Jiangnan Tang, Weiping Ding, Chin-Teng Lin, and Ye Shi, “FedTP: Federated Learning by Transformer Personalization,” IEEE Transactions on Neural Networks and Learning Systems, doi:10.1109/TNNLS.2023.3269062. (CAS JCR Q1) 

    1. Li Duan, Yangyang Sun, Wei Ni, Weiping Ding, Jiqiang Liu, Wei Wang, “Attacks against Cross-chain Systems and Defense Approaches: A Contemporary Survey,” IEEE-CAA Journal of Automatica Sinica, 2 023:10(8):1647-1667. doi:10.1109/JAS.2023.123642. (CAS JCR Q1) 

    1. Zhaoyin Shi, Long Chen, Weiping Ding, Chuanbin Zhang, Yingxu Wang, “Parameter-Free Robust Ensemble Framework of Fuzzy Clustering,” IEEE Transactions on Fuzzy Systems doi:10.1109/TFUZZ.2023.3277692 (CAS JCR Q1) 

    1. Imran Razzak, Reda Bouadjenk, Brij B. Gupta, Weiping Ding, “Support Matrix Machine via Joint l2,1 and Nuclear Norm Minimization Under Matrix completion Framework for Classification of Corrupted Data,” IEEE Transactions on Neural Network and Learning System, doi: 10.1109/TNNLS.2023.3293888 (CAS JCR Q1) 

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

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

    1. Chenglong Zhu, Xueling Ma, Weiping Ding, Jianming Zhan, “Long-term time series forecasting with multi-linear trend fuzzy information granules for LSTM in a periodic framework,” IEEE Transactions on Fuzzy Systems, doi: 10.1109/TFUZZ.2023.3298970 (CAS JCR Q1) 
       

    1. Wanli Huang, Yanhong She, Xiaoli He, Weiping Ding, “Fuzzy Rough Sets-Based Incremental Feature Selection for Hierarchical Classification,” IEEE Transactions on Fuzzy Systems, doi: 10.1109/TFUZZ.2023.3300913 (CAS JCR Q1) 

 

In addition: published more than 150 high-quality academic papers in Elsevier, Springer and other journals, including 
 

  • 49 in Information Sciences (CAS JCR Q1) 

  • 19 in Information Fusion (CAS JCR Q1) 

  • 11 in Applied Soft Computing (CAS JCR Q1) 

  • 5 in Expert Systems With Applications (CAS JCR Q1) 
     

  • Artificial Intelligence Review 7 articles (CAS JCR Q2) 

  • Neurocomputing 8 articles (CAS JCR Q2) 

  • Engineering Applications of Artificial Intelligence 6 articles (CAS JCR Q2) 

  • Knowledge-Based Systems 7 articles (CAS JCR Q1) 

  • Pattern Recognition 5 articles (CAS JCR Q1) 

 

More papers can be found on my personal website 

https://sites.google.com/view/weipingding 

  https://scholar.google.com/citations?user=PokEd2kAAAAJ&hl=zh-CN 

 

Recent projects 

    1. National Natural Science Foundation of China General Program: “Research on the Theory and Method of Knowledge Collaboration Abstraction for Large-scale Electronic Medical Records Oriented to Cloud Computing” (No. 61976120) (Project leader, currently under research) 

    1. National Natural Science Foundation of China Youth Project: “Research on the Collaborative Evolutionary Reduction Mechanism and Model of Attributes Oriented to Incomplete Electronic Medical Records” (No. 61300167) (project leader, completed) 

    1. Natural Science Foundation of Jiangsu Province: “Knowledge Discovery Model and Algorithm for Multi-modal Big Data Based on Multi-granularity Computing” (No. BK20231337) (Project leader, currently under research) 
       

    1. Natural Science Foundation of Jiangsu Province: “Research on Uncertainty Knowledge Discovery of Big Data Electronic Medical Records Based on Multi-Granularity Cognition” (No. BK20191445) (project leader, completed) 

    1. Natural Science Foundation of Jiangsu Province: “Research on Key Technologies for Large-scale Electronic Medical Record Knowledge Collaboration Oriented to Cloud Computing” (No. BK20151274) (project leader, completed) 

    1. Major Project of Jiangsu Provincial Natural Science Research Program for Colleges and Universities: “Research on Multi-granularity Knowledge Discovery Methods and Key Technologies for Integration and Optimization Oriented to Multi-modal Big Data” (No. 21KJA510004.) (Project leader, currently under research) 

    1. Jiangsu Province “Six Talent Peaks” high-level talent training funding project: “Research and application of cloud systems for knowledge reduction and collaborative mining of electronic medical records in large-scale data environments” (No. XYDXXJS-048) (project leader, completed) 

 

Academic awards 

    1. High-level talent of Jiangsu Province's “Six Talent Peaks”, 2016.9 

    1. Young and middle-aged academic leader of Jiangsu Province's “Blue and Green Project”, 2019.1 

    1. Outstanding young backbone teacher of Jiangsu Province's “Blue and Green Project”, 2014.1 

    1. First Prize of Jiangsu Province Higher Education Scientific and Technological Research Achievement Award, 2021.12 

    1. The 2015 International Conference on Data Mining and Applications (ICDMA'15) Best Paper Award, 2015.5 

    1. Jiangsu Province Education Teaching and Research Achievement Award (College Natural Science Research Category) Third Prize, 2018.7 

    1. Jiangsu Province Medical Science and Technology Progress Award Second Prize, 2017.12 

 

Professional Affiliations 

    1. IEEE CIS Task Force on Granular Data Mining for Big Data (2018-) Founding Chair 

    1. IEEE CIS Data Mining and Big Data Analytics Technical Committee Member 

    1. IEEE SMC Granular Computing Technical Committee Member 

    1. IEEE SMC Soft Computing Technical Committee Member 

    1. IEEE SMC Evolving Intelligent Systems Technical Committee Member 

    1. Executive Committee Member of the Artificial Intelligence and Pattern Recognition Committee of the China Computer Federation 
       

    1. Member of the Particle Computing and Knowledge Discovery Committee of the China Society for Artificial Intelligence 

    1. Member of the Intelligent Service Committee of the China Society for Artificial Intelligence 

    1. Executive Director of the Jiangsu Computer Society 

    1. Director of the Jiangsu Artificial Intelligence Society 

    1. Vice Chairman of the Data Mining and Application Committee of the Jiangsu Artificial Intelligence Association 

    1. Senior Member of the IEEE 

    1. Senior Member of the CCF


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