Weiping Ding   丁卫平

Weiping Ding (M’16-SM’19) received the Ph.D. degree in Computation Application, 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. From 2014 to 2015, He is a Postdoctoral Researcher at the Brain Research Center, National Chiao Tung University (NCTU), Hsinchu, Taiwan. In 2016, He was a Visiting Scholar at National University of Singapore (NUS), Singapore. From 2017 to 2018, he was a Visiting Professor at University of Technology Sydney (UTS), Ultimo, NSW, Australia. Now, Dr. Ding is the 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 Granular Computing of IEEE SMCS, and on Data Mining and Big Data Analytics of IEEE CIS. His main research directions involve data mining, granular computing, evolutionary computing, machine learning and big data analytics. He has published more than 80 research peer-reviewed journal and conference papers, including IEEE T-FS, T-NNLS, T-CYB, T-SMCS, T-BME, T-II, T-ETCI and T-ITS, etc. Dr. Ding currently serves on the Editorial Advisory Board of Knowledge-Based Systems and Editorial Board of Information Fusion, Applied Soft Computing. He serves as an Associate Editor of IEEE Transactions on Fuzzy Systems, Information Sciences, Swarm and Evolutionary Computation, IEEE Access and Journal of Intelligent & Fuzzy Systems, and Co-Editor-in-Chief of Journal of Artificial Intelligence and System. He is the Leading Guest Editor of Special Issues in several prestigious journals, including IEEE Transactions on Evolutionary Computation, IEEE Transactions on Fuzzy Systems, Information Fusion, and so on. 

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.

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

3. 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, 2019, 49(7):2744-2757.

4. 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.

5. 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 Cybernetics: Systems, 2016, 46(3): 384-400.

6. 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, doi:10.1109/TFUZZ. 2020.2989098

7. 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. doi: 10.1109/TITS.2020.3017632

• National Natural Science Foundation of China: “Knowledge Collaborative Reduction Theories and Approaches of Large-scale Electronic Medical Records for Cloud Computing” 2020.1-2023.12 (No.61976120, Chief Investigator)

• Natural Science Foundation of Jiangsu Province, China: “Research on uncertainty knowledge discovery of big data electronic medical records based on multi-granularity cognition” 2019.7-2022.6 (No.BK20191445 , Chief Investigator)

• National Natural Science Foundation of China: “Research on Mechanism and Model of Attribute Co-evolutionary Reduction for Incomplete Electronic Medical Record” 2014.1-2016.12 (No.61300167, Chief Investigator)

• 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” 2015.7-2017.6 (No.BK20151274, Chief Investigator)