1.     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, 2014, 55(1):101-115.

2.     王国胤, 于洪, 杨大春. 基于条件信息熵的决策表约简[J]. 计算机学报, 2002, 25(7): 759-766.

Guoyin Wang, Hong Yu, Dachun Yang. Decision Table Reduction based on Conditional Information Entropy[J]. Chines Journal of Computers, 2002, 25(7): 759-766.

3.     Hong Yu, Shuangshuang Chu, Dachun Yang. Autonomous knowledge-oriented clustering using decision-theoretic rough set theory. Fundamenta Informaticae, 2012, 115: 141–156.

4.     Hong Yu, Jisen Yang, Xiaofang Chen, Zhong Zou, Guoyin Wang, Tao Sang. Soft Measuring Model of Superheat Degree in the Aluminum Electrolysis Production[C]// 2018 IEEE International Conference on Big Data (IEEE Big Data 2018).

5.     Xi’ao Ma, Guoyin Wang, Hong Yu. Heuristic algorithms for finding distribution reducts in probabilistic rough set model[J]. arXiv preprint arXiv:1512.07162, 2015.

6.     Guoyin Wang, Xi’ao Ma, Hong Yu. Monotonic uncertainty measures for attribute reduction in probabilistic rough set model[J]. International Journal of Approximate Reasoning, 2015, 59(C):41-67.

7.     Hong Yu, Guoyin Wang, et al. Methods and practices of three-way decisions for complex problem solving[C]//International Conference on Rough Sets and Knowledge Technology. Springer International Publishing, 2015: 255-265.

8.     于洪, 王国胤, 姚一豫. 决策粗糙集理论研究现状与展望[J]. 计算机学报, 2015, 38(8): 1628-1639.

Hong Yu, Guoyin, Wang, Yiyu Yao. Current Research and Future Perspectives on Decision-Theoretic Rough Sets[J]. Chines Journal of Computers, 2015, 38(8): 1628-1639.

9.     Xi’ao Ma, Guoyin Wang, Hong Yu, Tianrui Li. Decision region distribution preservation reduction in decision-theoretic rough set model[J]. Information Sciences, 2014, 278:614-640.

10.   马希骜, 王国胤, 于洪. 决策域分布保持的启发式属性约简方法[J]. 软件学报, 2014, 25(8):1761-1780.

Xi’ao Ma, Guoyin Wang, Hong Yu. Heuristic Method to Attribute Reduction for Decision Region Distribution Preservation[J]. Journal of Software, 2014, 25(8):1761-1780.

11.   Hong Yu, Ying Wang. Three-way decisions method for overlapping clustering[C]//International Conference on Rough Sets and Current Trends in Computing. Springer Berlin Heidelberg, 2012: 277-286.

12.   于洪, 杨大春. 基于蚁群优化的多个属性约简的求解方法[J]. 模式识别与人工智能, 2011, 24(2): 176-184.

Hong Yu, Dachun Yang. Approach to Solving Attribute Reductions with Ant Colony Optimization[J]. Pattern Recognition and Artificial Intelligence, 2011, 24(2): 176-184.

13.   Guoyin Wang, Yiyu Yao, Hong Yu. A Survey on Rough Set Theory and Applications[J]. Chines 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[J]. 计算机学报, 2009, 32(7): 1229-1246.

14.   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).

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. Three-way Decision’Theory and Application[M]. Nanjing:Nanjing University Press. Nanjing, China, 192-212, 2012.

15.   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).

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[M]. Beijing: Science Press. 92-114, 2011.

1.     Hong Yu, Xincheng Wang, Guoyin Wang, Xianhua Zeng. An active three-way clustering method via low-rank matrices for multi-view data[J]. Information Sciences, 2018, doi: 10.1016/j.ins.2018.03.009.

2.     Hong Yu, Peng Jiao, Yiyu Yao, Guoyin Wang. Detecting and refining overlapping regions in complex networks with three-way decisions[J]. Information Sciences, 2016, 373:21-41.

3.     Hong Yu, Cong Zhang, Guoyin Wang. A tree-based incremental overlapping clustering method using the three-way decision theory[J]. Knowledge-Based Systems, 2016, 91:189-203.

4.     Hong Yu, Guoyin, Wang, Yiyu Yao. Current Research and Future Perspectives on Decision-Theoretic Rough Sets[J]. Chines 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[J]. 计算机学报, 2015, 38(8): 1628-1639.

5.     Hong Yu. Three-Way Decisions and Three-Way Clustering[C]//International Joint Conference on Rough Sets (IJCRS 2018). Springer, Cham, 2018:13-28.

6.     Hong Yu, Guoyin Wang. An Efficient Gradual Three-Way Decision Cluster Ensemble Approach[C]// International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems. Springer, Cham, 2018:711-723.

7.     Ning Sun, Hong Yu. A Method to Determine the Number of Clusters Based on Multi-validity Index[C]// International Joint Conference on Rough Sets (IJCRS 2018). Springer, Cham, 2018:427-439.

8.     Zhao Fu, Hong Yu, Hongliang Zhang, Xiaofang Chen. A Multi-objective Optimization Algorithm Based on Preference Three-way Decomposition[C]// The 11th International conference on Knowledge Science, Engineering and Management (KSEM 2018). Springer, Cham, 2018:3-11.

9.     Jing Xiong, Hong Yu. An Adaptive Three-way Clustering Algorithm for Mixed-type Data[C]// The 24th International Symposium on Methodologies for Intelligent Systems (ISMIS 2018). Springer, Cham, 2018: 379-388.

10.   Yan Liu, Hong Yu. Dynamic Overlapping Community Discovery Based on Core Nodes[C]// The 9th IEEE International Conference on Big Knowledge (IEEE ICBK 2018).2018: 252-259.

11.   Hong Yu, Zuoyu Sun, Guoyin Wang, Jie Li, Yongfang Xie, Gang Guo. A Multi-granular Hierarchical Evaluation Model for Multiple Criteria Three Sorting[C]// 2018 IEEE International Conference on Data Mining Workshops (ICDMW 2018). 2018: 487-494.

12.   Hong Yu, Zhihua Chang, Zhou Bing. A Novel Three-Way Clustering Algorithm for Mixed-Type Data[C]// IEEE International Conference on Big Knowledge. IEEE, 2017:119-126.

13.   Hong Yu, Xincheng Wang, Guoyin Wang. A Semi-supervised Three-Way Clustering Framework for Multi-view Data[C]// International Joint Conference on Rough Sets. Springer, Cham, 2017:313-325.

14.   Hong Yu. A Framework of Three-Way Cluster Analysis[C]// International Joint Conference on Rough Sets. Springer, 2017:300-312.

15.   Hong Yu, Leijie Jin, Bing Zhou, Bin Xiao, Xianhua Zeng. An event-based approach to overlapping community evolution by three-way decisions[C]// IEEE, International Conference on Big Data Analysis. IEEE, 2017:772-778.

16.   Hong Yu, Haibo Zhang. A three-way decision clustering approach for high dimensional data[C]//International Joint Conference on Rough Sets. Springer International Publishing, 2016: 229-239.

17.   Hong Yu, Guoyin Wang, et al. Methods and practices of three-way decisions for complex problem solving[C]//International Conference on Rough Sets and Knowledge Technology. Springer International Publishing, 2015: 255-265.

18.   Hong Yu, Cong Zhang, Feng Hu. An Incremental Clustering Approach Based on Three-Way Decisions[C]// International Conference on Rough Sets and Current Trends in Computing. Springer, Cham, 2014:152-159.

19.   Hong Yu, Ting Su, Xianhua Zeng. A three-way decisions clustering algorithm for incomplete data[C]//International Conference on Rough Sets and Knowledge Technology. Springer International Publishing, 2014: 765-776.

20.   Hong Yu, Peng Jiao, Guoyin Wang, Yiyu Yao. Categorizing overlapping regions in clustering analysis using three-way decisions[C]//Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2014 IEEE/WIC/ACM International Joint Conferences on. IEEE, 2014, 2: 350-357.

21.   Hong Yu, Qingfeng Zhou. A cluster ensemble framework based on three-way decisions[C]//Rough Sets and Knowledge Technology. Springer Berlin Heidelberg, 2013: 302-312.

22.   Hong Yu, Ying Wang. Three-way decisions method for overlapping clustering[C]//International Conference on Rough Sets and Current Trends in Computing. Springer Berlin Heidelberg, 2012: 277-286.

23.   于洪, 王国胤. 三支决策聚类. 于洪, 王国胤, 李天瑞, 梁吉业, 苗夺谦, 姚一豫. 三支决策: 复杂问题求解方法与实践[M], 北京: 科学出版社, 2015 (第6章).

Hong Yu, Guoyin Wang. Three-way Decision Clustering. (Chapter 6) in Hong Yu, Guoyin Wang, Tianrui Li, Jiye Liang, Duoqian Miao, Yiyu Yao. Three-Way Decisions: Methods and Practices for Complex Problem Solving[M], Science Press, Beijing, 2015.

24.   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, ISBN 978-7-03-038193-4, 第11章).

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. Three-way Decisions and Granular Computing[M]. Science Press, Beijing, China, pp237-267, 2013.

25.   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).

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. Three-way Decision’Theory and Application[M]. Nanjing:Nanjing University Press. Nanjing, China, 192-212, 2012.

1.     Hong Yu, Xincheng Wang, Guoyin Wang, Xianhua Zeng. An active three-way clustering method via low-rank matrices for multi-view data[J]. Information Sciences, 2018, doi: 10.1016/j.ins.2018.03.009.

2.     Hong Yu, Peng Jiao, Yiyu Yao, Guoyin Wang. Detecting and refining overlapping regions in complex networks with three-way decisions[J]. Information Sciences, 2016, 373:21-41.

3.     Hong Yu, Cong Zhang, Guoyin Wang. A tree-based incremental overlapping clustering method using the three-way decision theory[J]. Knowledge-Based Systems, 2016, 91:189-203.

4.     Hong Yu. Three-Way Decisions and Three-Way Clustering[C]//International Joint Conference on Rough Sets (IJCRS 2018). Springer, Cham, 2018:13-28.

5.     Hong Yu, Guoyin Wang. An Efficient Gradual Three-Way Decision Cluster Ensemble Approach[C]// International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems. Springer, Cham, 2018:711-723.

6.     Ning Sun, Hong Yu. A Method to Determine the Number of Clusters Based on Multi-validity Index[C]// International Joint Conference on Rough Sets (IJCRS 2018). Springer, Cham, 2018:427-439.

7.     Jing Xiong, Hong Yu. An Adaptive Three-way Clustering Algorithm for Mixed-type Data[C]// The 24th International Symposium on Methodologies for Intelligent Systems (ISMIS 2018). Springer, Cham, 2018: 379-388.

8.     Yan Liu, Hong Yu. Dynamic Overlapping Community Discovery Based on Core Nodes[C]// The 9th IEEE International Conference on Big Knowledge (IEEE ICBK 2018).2018: 252-259.

9.     Hong Yu, Zhihua Chang, Zhou Bing. A Novel Three-Way Clustering Algorithm for Mixed-Type Data[C]// IEEE International Conference on Big Knowledge. IEEE, 2017:119-126.

10.   Hong Yu, Xincheng Wang, Guoyin Wang. A Semi-supervised Three-Way Clustering Framework for Multi-view Data[C]// International Joint Conference on Rough Sets. Springer, Cham, 2017:313-325.

11.   Hong Yu. A Framework of Three-Way Cluster Analysis[C]// International Joint Conference on Rough Sets. Springer, 2017:300-312.

12.   Hong Yu, Leijie Jin, Bing Zhou, Bin Xiao, Xianhua Zeng. An event-based approach to overlapping community evolution by three-way decisions[C]// IEEE, International Conference on Big Data Analysis. IEEE, 2017:772-778.

13.   Hong Yu, Haibo Zhang. A three-way decision clustering approach for high dimensional data[C]//International Joint Conference on Rough Sets. Springer International Publishing, 2016: 229-239.

14.   Hong Yu, Guoyin Wang, et al. Methods and practices of three-way decisions for complex problem solving[C]//International Conference on Rough Sets and Knowledge Technology. Springer International Publishing, 2015: 255-265.

15.   Hong Yu, Cong Zhang, Feng Hu. An Incremental Clustering Approach Based on Three-Way Decisions[C]// International Conference on Rough Sets and Current Trends in Computing. Springer, Cham, 2014:152-159.

16.   Hong Yu, Ting Su, Xianhua Zeng. A three-way decisions clustering algorithm for incomplete data[C]//International Conference on Rough Sets and Knowledge Technology. Springer International Publishing, 2014: 765-776.

17.   Hong Yu, Peng Jiao, Guoyin Wang, Yiyu Yao. Categorizing overlapping regions in clustering analysis using three-way decisions[C]//Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2014 IEEE/WIC/ACM International Joint Conferences on. IEEE, 2014, 2: 350-357.

18.   Hong Yu, Qingfeng Zhou. A cluster ensemble framework based on three-way decisions[C]//Rough Sets and Knowledge Technology. Springer Berlin Heidelberg, 2013: 302-312.

19.   Hong Yu, Ying Wang. Three-way decisions method for overlapping clustering[C]//International Conference on Rough Sets and Current Trends in Computing. Springer Berlin Heidelberg, 2012: 277-286.

20.   于洪, 王国胤. 三支决策聚类. 于洪, 王国胤, 李天瑞, 梁吉业, 苗夺谦, 姚一豫. 三支决策: 复杂问题求解方法与实践[M], 北京: 科学出版社, 2015 (第6章).

Hong Yu, Guoyin Wang. Three-way Decision Clustering. (Chapter 6) in Hong Yu, Guoyin Wang, Tianrui Li, Jiye Liang, Duoqian Miao, Yiyu Yao. Three-Way Decisions: Methods and Practices for Complex Problem Solving[M], Science Press, Beijing, 2015.

21.   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, ISBN 978-7-03-038193-4, 第11章).

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. Three-way Decisions and Granular Computing[M]. Science Press, Beijing, China, pp237-267, 2013.

22.   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).

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. Three-way Decision’Theory and Application[M]. Nanjing:Nanjing University Press. Nanjing, China, 192-212, 2012.

23.   于洪, 陈云, 胡峰, 王国胤, 胡军. 基于Spark平台采用两次评价的加权选择集成三支聚类方法, 专利申请号：201710548072.3.

1.     Hong Yu, Jisen Yang, Xiaofang Chen, Zhong Zou, Guoyin Wang, Tao Sang. Soft Measuring Model of Superheat Degree in the Aluminum Electrolysis Production[C]// 2018 IEEE International Conference on Big Data (IEEE Big Data 2018).

2.     Hong Yu, Zuoyu Sun, Guoyin Wang, Jie Li, Yongfang Xie, Gang Guo. A Multi-granular Hierarchical Evaluation Model for Multiple Criteria Three Sorting[C]// 2018 IEEE International Conference on Data Mining Workshops (ICDMW 2018). 2018: 487-494.

3.     孙作雨, 于洪, 王国胤. 基于TOPSIS的三支决策评价模型[J]. 数据采集与处理, 2018，33(5): 891-899.

Zuoyu Sun, Hong Yu, Guoyin Wang. Three-Way Decision Evaluation System Based on TOPSIS[J]. Jurnal of Data Acquisition & Processing, 2018，33(5): 891-899.

4.     Zhao Fu, Hong Yu, Hongliang Zhang, Xiaofang Chen. A Multi-objective Optimization Algorithm Based on Preference Three-way Decomposition[C]// The 11th International conference on Knowledge Science, Engineering and Management (KSEM 2018). Springer, Cham, 2018:3-11.

5.     Guoyin Wang, Qun Liu, Hong Yu, Xianhua Zeng. Large Data Mining and Its Application[M]. Tsinghua University Press, Beijing, 2017.

6.     王国胤, 刘群, 于洪, 曾宪华. 大数据挖掘及应用[M]. 清华大学出版社, 北京, 2017.

1.     Hong Yu, Bing Zhou, Mingyao Deng, Feng Hu. Tag recommendation method in folksonomy based on user tagging status[J]. Journal of Intelligent Information Systems, 2018, 50(3):479-500.

2.     于洪, 李俊华. 一种解决新项目冷启动问题的推荐算法[J]. 软件学报, 2015, 26(6): 1395−1408.

Hong Yu, Junhua Li. Algorithm to Solve the Cold-Start Problem in New Item Recommendations[J]. Journal of Software, 2015, 26(6): 1395−1408.

3.     于洪, 邓明瑶, 胡峰. 考虑用户标注状态的标签推荐方法[J]. 模式识别与人工智能, 2014, 27(8): 673-682.

Hong Yu, MingYao Deng, Feng Hu. Tag Recommendation Method Considering Users Tagging Status[J]. Pattern Recognition and Artificial Intelligence, 2014, 27(8): 673-682.

4.     于洪, 李俊华. 结合社交与标签信息的协同过滤推荐算法[J]. 小型微型计算机系统, 2013, 34(11): 2467-2471.

Hong Yu, Junhua Li. Collaborative Filtering Ｒecommendation Algorithm Using Social and Tag Information[J]. Journal of Chinese Computer Systems, 2013, 34(11): 2467-2471.

5.     胡峰, 向倞, 于洪, 娄华宾. 基于MapReduce的LBS兴趣点发现方法, 专利申请号：ZL201410037999.7.

1.     Hong Yu, Peng Jiao, Yiyu Yao, Guoyin Wang. Detecting and refining overlapping regions in complex networks with three-way decisions. Information Sciences, 2016, 373:21-41.

2.     于洪, 杨显. 微博中节点影响力度量与传播路径模式研究[J]. 通信学报. 2012, 33(Z1): 96-102.

Hong Yu, Xian Yang. Studying on the node’s influence and propagation path modes in microblogging[J]. Journal on Communications, 2012, 33(Z1): 96-102.

3.     于洪, 杨显. 微博中信息传播特性分析及模型仿真研究[J]. 系统仿真学报, 2013, 25(12): 2973-2978.

Hong Yu, Xian Yang. Analyzing and Modeling of Information Propagation on Microblogging[J]. Journal of System Simulation, 2013, 25(12): 2973-2978.

4.     于洪, 李俊华. 结合社交与标签信息的协同过滤推荐算法[J]. 小型微型计算机系统, 2013, 34(11): 2467-2471.

Hong Yu, Junhua Li. Collaborative Filtering Ｒecommendation Algorithm Using Social and Tag Information[J]. Journal of Chinese Computer Systems, 2013, 34(11): 2467-2471.

5.     Yan Liu, Hong Yu. Dynamic Overlapping Community Discovery Based on Core Nodes[C]// The 9th IEEE International Conference on Big Knowledge (IEEE ICBK 2018).2018: 252-259.

6.     Hong Yu, Leijie Jin, Bing Zhou, Bin Xiao, Xianhua Zeng. An event-based approach to overlapping community evolution by three-way decisions[C]// IEEE, International Conference on Big Data Analysis. IEEE, 2017:772-778.

7.     胡峰, 向倞, 于洪, 娄华宾. 基于MapReduce的LBS兴趣点发现方法, 专利申请号：ZL201410037999.7.

1.       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, 2014, 7(4):660-675.

2.       Zhao Fu, Hong Yu, Hongliang Zhang, Xiaofang Chen. A Multi-objective Optimization Algorithm Based on Preference Three-way Decomposition[C]// The 11th International conference on Knowledge Science, Engineering and Management (KSEM 2018). Springer, Cham, 2018:3-11.

3.       马希骜, 王国胤, 于洪. 决策域分布保持的启发式属性约简方法[J]. 软件学报, 2014, 25(8):1761-1780.

Xi’ao Ma, Guoyin Wang, Hong Yu. Heuristic Method to Attribute Reduction for Decision Region Distribution Preservation[J]. Journal of Software, 2014, 25(8):1761-1780.

4.       于洪, 杨大春. 基于蚁群优化的多个属性约简的求解方法[J]. 模式识别与人工智能, 2011, 24(2): 176-184.

Hong Yu, Dachun Yang. Approach to Solving Attribute Reductions with Ant Colony Optimization[J]. Pattern Recognition and Artificial Intelligence, 2011, 24(2): 176-184.

5.       Hong Yu, Man Liu. A QoS-aware Web services selection model using AND/OR graph[C]//Advanced Data Mining and Applications. Springer Berlin Heidelberg, 2011, 7120: 124-137.