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丁衛平 教授


丁衛平  博士

教授 碩導/博導

學校郵箱：(1) ding.wp@ntu.edu.cn   (2) dwp9988@163.com

 

個人簡介

丁衛平，博士，教授，博士生導師，IEEE高級會員，CCF高級會員，南通大學信息科學技術學院副院長，悉尼科技大學研究員, 澳門城市大學博士生導師，江蘇省“六大人才高峰”高層次人才，江蘇省“青藍工程”中青年學術帶頭人，主要研究方向為人工智能及計算智能、醫學圖像智能分析、多模態機器學習及優化、深度神經網絡、腦認知研究、粒計算及其在不確定大數據中應用等。目前擔任IEEE-CIS Task Force on Granular Data Mining for Big Data創始主席, IEEE-CIS數據挖掘與大數據分析專委會委員，IEEE-SMC 粒計算專委會委員，IEEE-SMC 軟計算專委會委員，CCF人工智能與模式識別專委會委員，CAAI粒計算與知識發現專委會委員，CAAI智能服務專委會委員，近年來先後赴臺灣交通大學、加拿大University of Lethbridge、新加坡National University of Singapore、澳大利亞University of Technology Sydney等進行博士後研究、學術訪問和科研合作。

近年來主持/完成國家自然科學基金、江蘇省自然科學基金、江蘇省高校自然科學研究計劃重大項目等各類科研項目20餘項，在IEEE TFS、IEEE TNNLS、IEEE TCYB、IEEE TITS、IEEE TBME、IEEE TEVC、IEEE TETCI、IEEE TCDS等國際期刊和會議上發表高水平論文200餘篇，其中16篇入選 “ESI高被引論文”。授權中國發明專利27項、美國發明專利1項、澳大利亞發明專利1項。相關成果獲江蘇省高等學校科學技術研究成果獎一等獎，江蘇省教育教學與研究成果獎三等獎，江蘇醫學科技獎二等獎，江蘇省高等教育科研成果三等獎等。

近年來擔任多個國際著名期刊的副主編、領域編委或者編委，包括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、Neurocompution、Swarm and Evolutionary Computation、Engineering Applications of Artificial Intelligence 等，擔任Journal of Artificial Intelligence and Systems和Artificial Intelligence Advances的共同創刊主編。作為客座主編在國際著名期刊IEEE Transactions on Evolutionary Computation、IEEE Transactions on Fuzzy Systems、IEEE Transactions on Emerging Topics in Computational Intelligence、Information Fusion、Information Sciences等上組織多個主題特刊Special Issue。

 

學歷

2014　腦科學研究中心，臺灣交通大學，博士後，中國

2013　計算機科學與技術, 南京航空航天大學，博士，中國

 

曾任教科目

人工智能、計算智能、數據挖掘、機器學習、數據結構、操作系統、C++程序設計等

 

研究方向

人工智能及計算智能、醫學圖像智能分析、多模態機器學習及優化、深度神經網絡、腦認知研究、粒計算及其在不確定大數據中應用

 

現任

  1. 南通大學信息科學副院長、博士、教授、博士生導師
  2. 悉尼科技大學研究員
  3. 澳門城市大學碩士、博士生導師
  4. 副主編, IEEE Transactions on Fuzzy Systems（中科院JCR一區, 影響因子IF:11.9)
  5. 副主編, IEEE Transactions on Neural Networks and Learning Systems  (中科院JCR一區, 影響因子10.4)
  6. 編委, Information Fusion（中科院JCR一區, 影響因子IF: 18.6)
  7. 編輯指導委員, Knowledge-Based Systems（中科院JCR一區, 影響因子IF: 8.8)
  8. 副主編, IEEE/CAA Journal of Automatica Sinica （中科院JCR一區, 影響因子IF: 11.8)
  9. 副主編, IEEE Transactions on  Emerging Topics in Computational Intelligence（中科院JCR二區, 影響因子IF: 5.3)
  10. 副主編, IEEE Transactions on Intelligent Vehicles （中科院JCR二區, 影響因子IF: 8.2)
  11. 副主編, IEEE Transactions on Artificial Intelligence
  12. 副主編, Information Sciences (中科院JCR一區, 影響因子IF: 8.1)
  13. 編委, Engineering Applications of Artificial Intelligence （中科院JCR二區, 影響因子IF: 8.0)
  14. 編委, Applied Soft Computing（中科院JCR一區, 影響因子IF: 8.7)
  15. 副主編, Swarm and Evolutionary Computation  (中科院JCR一區, 影響因子IF: 10.0)
  16. 副主編, Neurocomputing  (中科院JCR二區, 影響因子IF: 6.0)
  17. 副主編, Journal of Intelligent & Fuzzy Systems  (中科院JCR四區, 影響因子IF:2.0)
  18. 共同主編, Journal of Artificial Intelligence and Systems
  19. 共同主編, Artificial Intelligence Advances

 

研究及出版

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. （中科院JCR一區）
  2. 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. （中科院JCR一區）
  3.   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. （中科院JCR一區）
  4. 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. （中科院JCR一區）
  5. 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.  （中科院JCR一區）
  6. 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, 2019, 30 (7): 2013-2027. doi:10.1109/TNNLS. 2018.2872974. （中科院JCR一區）
  7. 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. doi:10.1109/TCYB.2018. 2834390. （中科院JCR一區）
  8. 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. （中科院JCR一區）
  9. 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, 2021, 51(10): 4944-4958. doi: 10.1109/TCYB.2020.3000440.  （中科院JCR一區）
  10. 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. doi:10.1109/ TSMC.2015.2464787. （中科院JCR一區）
  11. 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, 2021, 17(6): 4298-4307. doi: 10.1109/ TII.2020.3007419.  （中科院JCR一區）
  12. 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.
  13. 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
  14. 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.
  15. 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.  （中科院JCR一區）
  16. 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. （中科院JCR一區）
  17. 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 （中科院JCR一區）
  18. 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.  （中科院JCR二區）
  19. 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. （中科院JCR一區）
  20. 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, 2022, 30(5): 1197-1211. doi:10.1109/TFUZZ. 2021.3053844. （中科院JCR一區）
  21. 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, 2022, 30(1): 121-132. doi:10.1109/TFUZZ.2020.3033062.（中科院JCR一區）
  22. 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. （中科院JCR一區）
  23. 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   （中科院JCR一區）
  24. 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.（中科院JCR一區）
  25. 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 （中科院JCR一區）
  26. 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.  （中科院JCR一區）
  27. Jieting Wang, Yuhua Qian, Feijiang Li, Jiye Liang, and Weiping Ding, “Fusing Fuzzy Monotonic Decision Trees,” IEEE Transactions on Fuzzy Systems, 2020, 28 (5): 887-900. doi: 10.1109/ TFUZZ.2019.2953024. （中科院JCR一區）
  28. 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.  （中科院JCR一區）
  29. 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. （中科院JCR二區）
  30. 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.  （中科院JCR一區）
  31. 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
  32. 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
  33. 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. （中科院JCR一區）
  34. 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  （中科院JCR一區）
  35. 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  （中科院JCR一區）
  36. 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. （中科院JCR一區）
  37. 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, 2019,15(12): 6541-6550. doi: 10.1109/TII.2019. 2921652. （中科院JCR一區）
  38. 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. （中科院JCR一區）
  39. 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. （中科院JCR一區）
  40. 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. （中科院JCR一區）
  41. 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
  42. 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 
  43. 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 （中科院JCR一區）
  44. 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
  45. 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（中科院JCR一區）
  46. 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.
  47. 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 of Automatica Sinica, 2022, 9(11): 1990-2004. doi: 10.1109/JAS.2022.105947
  48. 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 （中科院JCR一區）
  49. 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 （中科院JCR一區）
  50. 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（中科院JCR一區）
  51. 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 （中科院JCR一區）
  52. 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, 2023, 53(7): 4306-4319. doi:10.1.109/TCYB.2022.3166539 （中科院JCR一區）
  53. 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, 2022, 9(6): 949-966. doi:10.1109/JAS. 2022.105617. （中科院JCR一區）
  54. 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, 2022, 9(8): 1384-1405. doi:10.1109/JAS.2022.105740. （中科院JCR一區）
  55. 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. （中科院JCR一區）
  56. 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.
  57. 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. （中科院JCR一區）
  58. 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, 2023,31(1): 77-91. doi:10.1109/TFUZZ.2022.3182441. （中科院JCR一區）
  59. 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. （中科院JCR一區）
  60. 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. （中科院JCR一區）
  61. 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, 2023, 10(2): 330-350. doi:10.1109/JAS.2022.106061. （中科院JCR一區）
  62. 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. （中科院JCR一區）
  63. 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.
  64. 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. （中科院JCR一區）
  65. 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.   （中科院JCR一區）
  66. 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.   （中科院JCR一區）
  67. 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.（中科院JCR一區）
  68. 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.（中科院JCR一區）
  69. 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.（中科院JCR二區）
  70. 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. （中科院JCR二區）
  71. 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. （中科院JCR一區）
  72. 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.
  73. 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. （中科院JCR一區）
  74. 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.
  75. 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.
  76. 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 （中科院JCR一區）
  77. 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, “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（中科院JCR一區）
  78. 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.  （中科院JCR一區）
  79. 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.   （中科院JCR一區）
  80. 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.   （中科院JCR一區）
  81. 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, 2023:10(8):1647-1667. doi:10.1109/JAS.2023.123642.（中科院JCR一區）
  82. 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 （中科院JCR一區）
  83. 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 （中科院JCR一區）
  84. 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.
  85. 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.
  86. 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（中科院JCR一區）
  87. 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（中科院JCR一區）

 

另外：發表在Elsevier、Springer等期刊上的高質量學術論文約150餘篇，其中

  • Information Sciences 49篇  （中科院JCR一區）
  • Information Fusion 19篇      （中科院JCR一區）
  • Applied Soft Comptuing 11篇   （中科院JCR一區）
  • Expert Systems With Applications 5篇  （中科院JCR一區）
  • Artificial Intelligence Review 7篇  （中科院JCR二區）
  • Neurocomouting  8篇（中科院JCR二區）
  • Engineering Applications of Artificial Intelligence 6篇  （中科院JCR二區）
  • Knowledge-Based Systems 7篇    （中科院JCR一區）
  • Pattern Recognition  5篇    （中科院JCR一區）

 

更多論文請見個人網站

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

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

 

近年主持項目

  1. 國家自然科學基金面上項目：“面向雲計算的大規模電子病歷知識協同約簡理論與方法研究”（No. 61976120）   （項目主持人，目前在研）
  2. 國家自然科學基金青年項目：“面向不完備電子病歷的屬性協同演化約簡機理與模型研究”  (No. 61300167)    （項目主持人，已完成）
  3. 江蘇省自然科學基金：“基於多粒度計算的多模態大數據知識發現模型與算法” （No. (No. BK20231337)   （項目主持人，目前在研）  
  4. 江蘇省自然科學基金：“基於多粒度認知的大數據電子病歷不確定性知識發現研究”     (No. BK20191445)   （項目主持人，已完成）
  5. 江蘇省自然科學基金：“面向雲計算的大規模電子病歷知識協同約簡關鍵技術研究” (No. BK20151274)    （項目主持人，已完成） 
  6. 江蘇省高校自然科學研究計劃重大項目：“面向多模態大數據的多粒度知識發現方法及其集成優化關鍵技術研究” (No. 21KJA510004.)    （項目主持人，目前在研）
  7. 江蘇省第“六大人才高峰”高層次人才培養資助項目：“大規模數據環境下電子病歷知識約簡與協同挖掘雲系統研究與應用” (No.XYDXXJS-048)（項目主持人，已完成）

 

學術獎項

  1. 江蘇省“六大人才高峰”高層次人才，2016.9
  2. 江蘇省“青藍工程”中青年學術帶頭人，2019.1
  3. 江蘇省“青藍工程”優秀青年骨幹教師，2014.1
  4. 江蘇省高等學校科學技術研究成果獎一等獎, 2021.12
  5. The 2015 International Conference on Data Mining and Applications (ICDMA'15) 最佳學術論文獎(Best Paper Award), 2015.5
  6. 江蘇省教育教學與研究成果獎（高校自然科學研究類）三等獎, 2018.7
  7. 江蘇省醫學科技進步獎二等獎, 2017.12

 

專業屬會

  1. IEEE CIS Task Force on Granular Data Mining for Big Data (2018-) 創始主席
  2. IEEE CIS Data Mining and Big Data Analytics Technical Committee 委員
  3. IEEE SMC Granular Computing Technical Committee 委員
  4. IEEE SMC Soft Computing Technical Committee 委員
  5. IEEE SMC Evolving Intelligent Systems Technical Committee 委員
  6. 中國計算機學會人工智能與模式識別專委會執行委員
  7. 中國人工智能學會粒計算與知識發現專委會委員
  8. 中國人工智能學會智能服務專委會委員
  9. 江蘇省計算機學會常務理事
  10. 江蘇省人工智能學會理事
  11. 江蘇省人工智能學會數據挖掘與應用專委會副主任委員
  12. IEEE高級會員
  13. CCF高級會員

 

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