Hong Yu
Hong Yu is a professor at Chongqing University of Posts and Telecommunications in China, where she serves as the Dean of the Department of Intelligence Science and Technology. She is interested in rough sets, three-way decisions, cluster analysis, Web intelligence, automation of knowledge, data mining and intelligent information processing. Her researches have been funded by the National Natural Science Foundation of China. She received a Chongqing Natural Science and Technology Award. She has published serval books and some peer-reviewed research articles. Her paper was selected as one of Top Articles in Outstanding S&T Journal of China.
Contact Information
Dr. Hong Yu
Address: No.2 Chongwen Road, Nan'an District
College Computer Science and Technology
Chongqing University of Posts and Telecommunications
Chongqing, P. R. China, 400065
E-mail: yuhong@cqupt.edu.cn
URL: http://faculty.cqupt.edu.cn/yuhong/
Research Interests
Artificial intelligence, knowledge discovery, rough sets, three-way decisions, cluster analysis, industrial big data, Web intelligence, automation of knowledge, data mining and intelligent information processing.
Research Grants
1. NSFC Grant (2019-2022), the National Natural Science Foundation of China, Three-Way Multi-Granularity Intelligent Decision-making Models and Methods for Industrial Big Data.
2. NSFC Grant (2018-2020), the National Natural Science Foundation of China, The Knowledge Automation Method of Process Industry Process Operation Optimization Decision and its Application.
3. NSFC Grant (2016-2020), the National Natural Science Foundation of China, Design Method and Verification of Knowledge Automation Decision-making System for Aluminum Electrolysis Production Based on Big Data and Cloud Computing.
4. NSFC Grant (2014-2017), the National Natural Science Foundation of China, Study on the Three-Way Decision Clustering Theory and Method.
5. NSFCQ Grant (2010-2011), the Natural Science Foundation of Chongqing of China, Application Research on Uncertainty Knowledge Acquisition Methods in Web Personalized Services.
Teaching Interests
Algorithm Design and Analysis, Elements of the Theory of Computation, Principles of Compilers, Database Theory, Artificial Intelligence, and Data Structure.
English Papers
1. Hong Yu, Xincheng Wang, Guoyin Wang, Xianhua Zeng. An active three-way clustering method via low-rank matrices for multi-view data. Information Sciences, 2018, doi: 10.1016/j.ins.2018.03.009.
2. Hong Yu, Bing Zhou, Mingyao Deng, Feng Hu. Tag recommendation method in folksonomy based on user tagging status. Journal of Intelligent Information Systems, 50 (2018) 479-500.
3. Hong Yu, Cong Zhang, Guoyin Wang. A tree-based incremental overlapping clustering method using the three-way decision theory. Knowledge-Based Systems, 91 (2016) 189-203.
4. Hong Yu, Peng Jiao, Yiyu Yao, Guoyin Wang. Detecting and refining overlapping regions in complex networks with three-way decisions. Information Sciences, 373 (2016) 21-41.
5. Hong Yu, Zhanguo Liu, Guoyin Wang. An automatic method to determine the number of clusters using decision-theoretic rough set. International Journal of Approximate Reasoning, 55 (2014) 101-115.
6. Hong Yu, Qingfeng Zhou, Man Liu. A dynamic composite Web services selection method with QoS-aware based on AND/OR graph. International Journal of Computational Intelligence Systems, 7(2014) 660-675.
7. Hong Yu, Shuangshuang Chu, Dachun Yang. Autonomous knowledge-oriented clustering using decision-theoretic rough set theory. Fundamenta Informaticae, 115 (2012) 141-156.
8. Xi'ao Ma, Guoyin Wang, Hong Yu, Tianrui Li. Decision region distribution preservation reduction in decision-theoretic rough set model. Information Sciences, 278 (2014) 614-640.
9. Hong Yu, Luo Hu. A novel possibilistic fuzzy leader clustering algorithm. International Journal of Hybrid Intelligent Systems. 8 (2011) 31-40.
10. Hong Yu, GuoyinWang, Fakuan Lan. Solving the attribute reduction problem with ant colony optimization//James F. Peters, Andrzej Skowron, Chien-Chung Chan, Jerzy W. Grzymala-Busse, Wojciech P. Ziarko (eds): Transactions on Rough Sets XIII, LNCS 6499, Springer, Berlin, Heidelberg, 2011:240-259.
11. Hong Yu. Three-Way Decisions and Three-Way Clustering//Hung Son Nguyen, Quang-Thuy Ha, Tianrui Li, Malgorzata Przybyla-Kasperek (eds): International Joint Conference on Rough Sets (IJCRS 2018), LNAI 11103, Quy Nhon, Vietnam, August 20-24, 2018. Springer, Cham, 2018:13-28.
12. Hong Yu. A Framework of Three-Way Cluster Analysis// Lech Polkowski, Yiyu Yao, Piotr Artiemjew, Davide Ciucci, Dun Liu, Dominik Slezak, Beata Zielosko (eds): International Joint Conference on Rough Sets (IJCRS 2017), LNAI 10314, Olsztyn, Poland, July 3-7, 2017. Springer, Cham, 2017:300-312.
13. Hong Yu, Haibo Zhang. A three-way decision clustering approach for high dimensional data// Víctor Flores, Fernando Gomide, Andrzej Janusz, Claudio Meneses, Duoqian Miao, Georg Peters, Dominik Slezak, Guoyin Wang, Richard Weber, Yiyu Yao (eds.): International Joint Conference on Rough Sets (IJCRS 2016), LNAI 9920, Santiago de Chile, Chile, October 7-11, 2016. Springer, Cham, 2016:229– 239.
14. Hong Yu, Zhihua Chang, Bing Zhou. A Novel Three-Way Clustering Algorithm for Mixed-Type Data//Xindong Wu, Tamer Ozsu, Jim Hendler, Ruqian Lu (eds): IEEE International Conference on Big Knowledge (ICBK 2017), Hefei, China, August 9-10, 2017. IEEE, 2017:119-126.
15. Hong Yu, Guoyin Wang. An Efficient Gradual Three-Way Decision Cluster Ensemble Approach//Jesus Medina, Manuel Ojeda-Aciego, Jose Luis Verdegay, David A.Pelta, Inma P.Cabrera, Bernadette Bouchon-Meunier, Ronald R.Yager (eds): International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2018), CCIS 854, Cadiz, Spain, June 11-15, 2018. Springer, Cham, 2018:711-723.
16. Zhao Fu, Hong Yu, Hongliang Zhang, Xiaofang Chen. A Multi-objective Optimization Algorithm Based on Preference Three-way Decomposition//Weiru Liu, Fausto Giunchiglia, Bo Yang (eds): International conference on Knowledge Science, Engineering and Management (KSEM 2018), LNAI 11062, Changchun, China, August 17-19, 2018. Springer, Cham, 2018:3-11.
17. Jing Xiong, Hong Yu. An Adaptive Three-way Clustering Algorithm for Mixed-type Data//Michelangelo Ceci, Nathalie Japkowicz, Jiming Liu, George A. Papadopoulos, Zbigniew W. Ras (eds): International Symposium on Methodologies for Intelligent Systems (ISMIS 2018), LNAI 11177, Limassol, Cyprus, October 29-31, 2018. Springer, Cham, 2018: 379-388.
18. Hong Yu, Zuoyu Sun, Guoyin Wang, Jie Li, Yongfang Xie, Gang Guo. A Multi-granular Hierarchical Evaluation Model for Multiple Criteria Three Sorting//Hanghang Tong, Zhenhui (Jessie) Li, Feida Zhu, Jeffrey Yu (eds): 2018 IEEE International Conference on Data Mining Workshops (ICDMW 2018), Singapore, November 17-20, 2018. IEEE, 2018: 487-494.
19. Hong Yu, Jisen Yang, Xiaofang Chen, Zhong Zou, Guoyin Wang, Tao Sang. Soft Measuring Model of Superheat Degree in the Aluminum Electrolysis Production//Naoki Abe, Huan Liu, Calton Pu, Xiaohua Hu, Nesreen Ahmed, Mu Qiao, Yang Song, Donald Kossmann, Bing Liu, Kisung Lee, Jiliang Tang, Jingrui He, Jeffrey Saltz (eds): 2018 IEEE International Conference on Big Data (IEEE Big Data 2018), Seattle, WA, USA, December 10-13, 2018. IEEE, 2018: 2679-2684.
20. Hong Yu, Ying Wang. Three-way decisions method for overlapping clustering// Jingtao Yao, Yan Yang, Roman Słowinski, Salvatore Greco, Huaxiong Li, Sushmita Mitra, Lech Polkowski (eds): International Conference on Rough Sets and Current Trends in Computing (RSCTC 2012), LNAI 7413, Chengdu, China, August 17-20, 2012. Springer, Heidelberg, 2012:277-286.
Chinese Papers
1. Hong Yu, Deniu He, Guoyin Wang, Jie Li. Yongfang Xie.Big Data for Intelligent Decision Making. ACTA AUTOMATICA SINICA, 2019, doi: 10.16383/j.aas.c180861.
于洪,何德牛,王国胤,李劼,谢永芳.大数据智能决策.自动化学报, 2019, doi: 10.16383/j.aas.c180861.
2. Hong Yu, Junhua Li. Algorithm to Solve the Cold-Start Problem in New Item Recommendations. Journal of Software, 2015, 26(6):1395-1408.
于洪,李俊华. 一种解决新项目冷启动问题的推荐算法. 软件学报, 2015, 26(6):1395-1408.
3. Hong Yu, Guoyin Wang, Yiyu Yao. Current Research and Future Perspectives on Decision-Theoretic Rough Sets. Chinese Journal of Computers, 2015, 38(8):1628-1639.
于洪, 王国胤, 姚一豫. 决策粗糙集理论研究现状与展望. 计算机学报, 2015, 38(8):1628-1639.
4. Hong Yu, MingYao Deng, Feng Hu. Tag Recommendation Method Considering User Tagging Status. Pattern Recognition and Artificial Intelligence, 2014, 27(8):673-682.
于洪,邓明瑶,胡峰. 考虑用户标注状态的标签推荐方法. 模式识别与人工智能, 2014, 27(8):673-682.
5. Hong Yu, Xian Yang. Analyzing and Modeling of Information Propagation on Microblogging. Journal of System Simulation, 2013, 25(12):2973-2978.
于洪,杨显.微博中信息传播特性分析及模型仿真研究.系统仿真学报,2013,25(12):2973-2978.
6. Hong Yu, Junhua Li. Collaborative Filtering Recommendation Algorithm Using Social and Tag Information. Journal of Chinese Computer Systems,2013,34(11):2467-2471.
于洪, 李俊华. 结合社交与标签信息的协同过滤推荐算法. 小型微型计算机系统, 2013, 34(11): 2467-2471.
7. Hong Yu, Xian Yang. Studying on The Node’s Influence and Propagation Path Modes in Microblogging. Journal on Communications,2012,33(Z1):96-102.
于洪, 杨显. 微博中节点影响力度量与传播路径模式研究. 通信学报. 2012,33(Z1):96-102.
8. Hong Yu, Dachun Yang. Approach to Solving Attribute Reductions with Ant Colony Optimization. Pattern Recognition and Artificial Intelligence,2011,24(2):176-184.
于洪, 杨大春.基于蚁群优化的多个属性约简的求解方法. 模式识别与人工智能, 2011, 24(2) :176-184.
9. Hong Yu, Zhuanyun Li. A Collaborative Filtering Recommendation Algorithm Based on Forgetting Curve. Journal of Nanjing University(Natural Sciences), 2010,46(5):520-527.
于洪,李转运. 基于遗忘曲线的协同过滤算法. 南京大学学报(自然科学), 2010,46(5):520-527.
10. Guoyin Wang, Yiyu Yao, Hong Yu. A Survey on Rough Set Theory and Applications. Chinese Journal of Computers, 2009, 32(7):1229-1246.
王国胤, 姚一豫, 于洪. 粗糙集理论与应用研究综述.计算机学报, 2009, 32(7):1229-1246.
Books and Book Chapters
1. Hong Yu, Guoyin Wang, Tianrui Li, Jiye Liang, Duoqian Maio (Eds.). Three-Way Decisions: Methods and Practices of Complex Problem Solving, Sience Press, Beijing, 2015.
于洪, 王国胤, 李天瑞, 梁吉业, 苗夺谦, 姚一豫编著. 三支决策: 复杂问题求解方法与实践. 科学出版社, 北京, 2015.
2. Guoyin Wang, Qun Liu, Hong Yu, Xianhua Zeng (Eds.). Big Data Mining and Application. Tsinghua University Press, Beijing, 2017.
王国胤,刘群,于洪,曾宪华编著. 大数据挖掘及应用. 清华大学出版社, 北京, 2017.
3. Hong Yu, Ting Su, Guoyin Wang. Three-way Decision Clustering Method for Incomplete Data. (chapter 8), in Yanping Zhang, Yiyu Yao, Duoqian Miao, Guoyin Wang, Jiye Liang, Tianrui Li, Weizhi Wu, Shu Zhao (Eds.), Historical Perspectives on and Future of Granlar Computing, Quotient Spaces, and Three-way Decisions, Sience Press, Beijing, 2017.05.
于洪, 苏婷, 王国胤. 面向不完备数据的三支决策聚类方法. 张燕平, 姚一豫, 苗夺谦, 王国胤, 梁吉业, 李天瑞, 吴伟志, 赵姝编著. 粒计算、商空间及三支决策的回顾与发展. 科学出版社, 北京. 2017(2017年05月,第8章).
4. Hong Yu, Ying Wang, Guoyin Wang. Granular Computing Based on Three-way Decision. (Chapter 11), in Dun Liu, Tianrui Li, Duoqian Miao, Guoyin Wang, Jiye Liang (Eds.). Three-way Decisions and Granular Computing. Science Press, Beijing, China, pp237-267, 2013.
于洪,王滢,王国胤. 基于三支决策的重叠聚类方法. 刘盾,李天瑞,苗夺谦,王国胤,梁吉业编著. 三支决策与粒计算. 北京:科学出版社.2013 (2013年7月, 第11章).
5. Hong Yu, Zhanguo Liu, Guoyin Wang. An Automatic Method to Determine The Clustering Number Decision Based on Rough Set. (Chapter 12), in Xiuyi Jia, Lin Shang, Xianzhong Zhou, Jiye Liang, Duoqian Miao, Guoyin Wang, Tianrui Li, Yanping Zhang (Eds.). Three-way Decision’Theory and Application. Nanjing:Nanjing University Press. Nanjing, China, 192-212, 2012.
于洪,刘占国,王国胤. 基于决策粗糙集的聚类数自动确定方法. 贾修一,商琳,周献中,梁吉业,苗夺谦,王国胤,李天瑞,张燕平编著. 三支决策理论与应用, 南京:南京大学出版社.2012(2012年10月, 第12章).
6. Hong Yu, Guoyin Wang. Autonomous Clustering Method Based on Decision-theoretic Rough Set(chapter 5), in Huaxiong Li, Xianzhong Zhou, Tianrui Li,Guoyin Wang,Duoqian Miao,Yiyu Yao (Eds.), Three-way Decisions Theory and Research Advances. Beijing: Science Press. 92-114, 2011.
于洪,王国胤. 基于决策粗糙集的自动聚类方法. 李华雄, 周献中,李天瑞,王国胤,苗夺谦,姚一豫编著. 决策粗糙集理论及其研究进展. 北京:科学出版社. 2011(2011年11月,第5章).
Edited Proceedings
1. Yiyu Yao, Qinghua Hu, Hong Yu, Jerzy W. Grzymala-Busse (Eds.), Rough sets, fuzzy sets, data mining, and granular computing. Proceedings of RSFDGrC 2015, LNAI 9437, Springer, Tianjin, China, 2015
2. Tianrui Li, Hung Son Nguyen , Guoyin Wang , Jerzy Grzymala-Busse , Ryszard Janicki , Aboul Ella Hassanien and Hong Yu(Eds.), Rough Sets and Knowledge Technology, Proceedings of RSKT2012, LNAI7414, Springer-Verlag, Chengdu, China, 2012
Membership of Professional Bodies
l Senior Member of the International Rough Set Society (2008-),
l Member of the China Computer Federation (2009-)
l Member of the Chinese Association for Artificial Intelligence (2003-)
l Member of the Rough and Soft Computation Society, CAAI (2003-)
Services:
1. Member of Program Committee
IJCRS 2019: PC member
IJCRS 2018: PC member
CRSSC 2018: PC member
IJCRS 2017: PC member
IJCRS 2016: PC member
CRSSC-CWI-CGrC 2016: PC member
CRSSC-CWI-CGrC 2015: PC member
JRS 2014: PC member
CRSSC-CWI-CGrC 2014: PC member
MIWAI 2013: PC member
JRS 2013: PC member
AGC13: PC member
CRSSC-CWI-CGrC 2013: PC member
CCECE'13: PC member
RSKT 2011: PC member
AMLTA 2012: PC member
ICIE'11: PC member
ADMA 2010: PC member
2. Special Session Chair
International Joint Conference on Rough Sets 2019 (IJCRS2019)
International Joint Conference on Rough Sets 2017 (IJCRS 2017)
The 2015 International Joint Conference on Rough Sets (IJCRS2015)
International Conference on Rough Set and Knowledge Technology (RSKT'13)
3. Reviewer of Journal Articles
Information Sciences
Knowledge-Based Systems
International Journal of Approximate Reasoning
IEEE Transactions on Systems, Man and Cybernetics: Systems
IEEE Transactions on Knowledge and Data Engineering
Chinese Journal of Computers (计算机学报)
Journal of Software (软件学报)
Journal of Computer Research and Development (计算机研究与发展)
Journal of ChongqingUniversity of Posts and Telecommunications (重庆邮电大学学报)
Chongqing University  Doctoral Degree in Engineering
Chongqing Univ. of Posts and Telecommunications  Master's Degree in Engineering
Nanchang Institute of Aeronautical Technology  Bachelor's Degree in Science
Department of Intelligent Science and Technology Director
Department of Intelligent Science and Technology Teaching and Research Deputy director
University of Regina, Canada Department of Computer Science Visiting scholar
Chongqing University of Posts and Telecommunications College Computer Science and Technology Teacher
Open time:..
The Last Update Time: ..