Hengrong Ju   鞠恒荣

Ph. D, Associate Professor

Email: juhengrong@ntu.edu.cn


Biography

Dr. Hengrong Ju is an associate professor at the School of Artificial Intelligence and Computer Science at Nantong University. He received the B.Sc. and M.Sc. degrees in Computer Science and Technology from Jiangsu University of Science and Technology in 2012 and 2015, respectively, and the Ph.D. degree in Management Science and Engineering from Nanjing University in 2019. From 2017 to 2018, he worked as a visiting scholar at the Department of Electrical and Computer Engineering, University of Alberta. He has authored or co-authored more than 20 scientific papers in international journals and conferences. His current research interests include knowledge discovery and granular computing. 

Research

  • Granular Computing

  • Rough Sets

  • Machine Learning

  • Knowledge Discovery

Publication

  1. Suping Xu, Hengrong Ju, Lin Shang, Witold Pedrycz, Xibei Yang, Chun Li. Label distribution learning: A local collaborative mechanism. International Journal of Approximate Reasoning, 2020, 121: 59–84.

  2. Hengrong Ju, Witold Pedrycz, Huaxiong Li, Weiping Ding, Xibei Yang, Xianzhong Zhou. Sequential three-way classifier with justifiable granularity. Knowledge-Based Systems, 2019, 163: 103–119.

  3. Hengrong Ju, Huaxiong Li, Xibei Yang, Xianzhong Zhou, Bing Huang. Cost-sensitive rough set: A multi-granulation approach. Knowledge-Based Systems, 2017, 123: 137–153.

  4. Hengrong Ju, Xibei Yang, Hualong Yu, Tongjun Li, Dong-Jun Yu, Jingyu Yang. Cost-sensitive rough set approach. Information Sciences, 2016, 355–356: 282–298.

  5. Hengrong Ju, Xibei Yang, Xiaoning Song, Yunsong Qi. Dynamic updating multigranulation fuzzy rough set: Approximations and reducts. International Journal of Machine Learning and Cybernetics, 2014: 5(6): 981–990.

  6. Hengrong Ju, Huili Dou, Yong Qi, Hualong Yu, Dong-Jun Yu, Jingyu Yang. -cut decision-theoretic rough set approach: Model and attribute reductions. The Scientific World Journal, 2014, 2014: 1–12.

  7. Hengrong Ju, Xibei Yang, Huili Dou, Jingjing Song. Variable precision multigranulation rough set and attributes reduction. Transactions on Rough Set XVIII, 2014: 52-68.

  8. Hengrong Ju, Xibei Yang, Pei Yang, Huaxiong Li, Xianzhong Zhou. A moderate attribute reduction approach in decision-theoretic rough set. The 2015 International Joint Conference on Rough Sets (IJCRS 2015), pp: 376–387.

  9. 鞠恒荣, 周献中, 杨佩, 李华雄, 杨习贝. 测试代价敏感的粗糙集方法. 系统工程理论与实践, 2017, 37(1): 228–240.

  10. 鞠恒荣, 李华雄, 周献中, 黄兵, 杨习贝. 基于Local约简的序贯三支分类器. 计算机科学, 2017, 44(9): 34–39+57.

Project

  • Youth Science Foundation Program of Natural Science Foundation of China, 2021-2023 (No. 62006128, Chief Investigator)

  • Jiangsu Innovation and Entrepreneurship Program, 2020-2022 (Chief Investigator)

  • Natural Science Foundation of Jiangsu Higher Education Institutions of China, 2020-2022 (No. 20KJB520009, Chief Investigator)

  • General Project of Natural Science Foundation of China, 2017-2020 (No. 71671086, Participant)

  • Youth Science Foundation Program of Natural Science Foundation of China, 2017-2019 (No. 61603176, Participant)

  • Youth Science Foundation Program of Natural Science Foundation of China, 2016-2018 (No. 61503160, Participant)

Professional Service

  • Committee member of Granular Computing and Knowledge Discovery Special Committee of CAAI.

  • Invited reviewer of Information Sciences.

  • Invited reviewer of Knowledge-Based Systems.

  • Invited reviewer of Applied Soft Computing.

  • Invited reviewer of IEEE Transactions on Cybernetics.