于洪，教授，博士生导师。伊出生于重庆巫溪，成长于重庆云阳，在2003年获得重庆大学计算机软件与理论博士学位。在人生的第三个鼠年于2008年访问加拿大University of Regina。

于洪教授长期从事粗糙集、三支决策、工业大数据、知识自动化、智能决策、知识发现、聚类分析、Web智能、智能推荐、数据挖掘和智能信息处理等领域的研究工作。出版专著多部，发表SCI / EI检索论文40多篇，多篇论文是ESI高被引论文。获得国际会议最佳论文奖，论文入选领跑者5000——中国精品科技期刊顶尖学术论文。作为主研人员参与过多项国家级与省部级项目，并主持过重庆市教委基础研究项目、重庆市教委优秀中青年骨干教师资助项目和重庆市自然科学基金项目，主持过重庆邮电大学校级项目多项。目前，正在主持国家自然科学基金面上项目、重点项目子项目多项。

于洪教授是国际粗糙集学会高级会员，IEEE会员，中国人工智能学会以及中国计算机学会会员，担任了JRS、IJCRS等系列国际学术的程序委员会共同主席，是ADMA 、CCECE、AMLTA、RSKT、RSCTC等国际学术会议的程序委员会委员。是《Information Sciences》（SCI期刊）、《计算机学报》（一级学报）等期刊评审专家，担任过SCI期刊《Fundamenta Informaticae》客座编辑。于洪博士获得重庆市科委自然科学技术奖二等奖1次。

  于洪教授是重庆邮电大学智能科学与技术专业负责人，中国人工智能学会教育工作委员会常务委员，全国本科“智能科学与技术”专业教学指导工作组成员。于洪教授主要讲授本科生、研究生的“算法设计与分析”、“数据结构”、“Rough集与数据挖掘”、“计算理论基础”、“人工智能”等课程。获得过“优秀班导师”等称号，指导本科生参加国家级科技竞赛活动获奖多次。

教育经历

1.1999/9–2003/12，重庆大学，计算机软件与理论，博士，导师：吴中福

2.1994/9–1997/5，重庆邮电学院，信号与信息处理，硕士，导师：葛君伟

3.1990/9–1994/6，南昌航空工业学院，物理学，学士

科研与学术工作经历

1.2015/12-至今，重庆邮电大学，计算机科学与技术学院，博导

2.2014/9-2015/3，加拿大University of Regina，访问学者

3.2013/11-至今，重庆邮电大学，计算机科学与技术学院，教授

4.2007/12-2008/12，加拿大University of Regina，访问学者

研究兴趣

Ÿ   粗糙集

Ÿ   三支决策

Ÿ   工业大数据

Ÿ   知识自动化

Ÿ   智能决策

Ÿ   知识发现

Ÿ   聚类分析

Ÿ   Web智能

Ÿ   智能推荐

Ÿ   数据挖掘

Ÿ   智能信息处理粗糙集理论

教学兴趣

Ÿ   算法设计与分析

Ÿ   数据结构

Ÿ   Rough集与数据挖掘

Ÿ   计算理论基础

Ÿ   人工智能

Published Book and Chapters

1.       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.

2.       于洪，王滢，王国胤. 基于三支决策的重叠聚类方法(第11章), In: 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年.

3.       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(第12章)，In：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年

4.       于洪，王国胤. 基于决策粗糙集的自动聚类方法(第5章), In: 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年.

Edit Proceedings

1.       Yiyu Yao, Qinghua Hu, Hong Yu, Jerzy W. Grzyma, Rough sets, fuzzy sets, data mining, and granular computing: 15th international conference, RSFDGrC 2015, Tianjin, China, November 20-23, 2015, Proceedings, Springer, 2015.11.

2.       Tianrui Li, Hung Son Nguyen, Guoyin Wang, Jerzy Grzymala-Busse, Ryszard Janicki, Aboul Ella Hassanien, Hong Yu, Rough sets and knowledge technology: 7th International Conference, RSKT 2012, Chengdu, China, August 17-20, 2012, Proceedings, Springer, 2012.08.

Journal Articles

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.       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.

3.       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.

4.       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.

5.       Hong Yu, Zhanguo Liu, Guoyin Wang. An automatic method to determine the number of clusters using decision-theoretic rough set[J]. International Journal of Approximate Reasoning, 2014, 55(1):101-115.

6.       Hong Yu, Qingfeng Zhou, Man Liu. A dynamic composite Web services selection method with QoS-aware based on AND/OR Graph[J]. International Journal of Computational Intelligence Systems, 2014, 7(4):660-675.

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

8.       Hong Yu, Qingfeng Zhou, Man Liu. A Dynamic Composite Web Services Selection Method With QoS-Aware Based on AND/OR Graph[J]. International Journal of Computational Intelligence Systems, 2014, 7(4):660-675.

9.       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.

10.   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.

11.   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.

12.   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.

13.   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.

14.   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.

15.   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.

16.   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.

17.   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.

18.   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.

19.   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.

20.   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.

Guoyin Wang, Yiyu Yao, Hong Yu. A Survey on Rough Set Theory and Applications[J]. Chines Journal of Computers, 2009, 32(7): 1229-1246.

Conference Papers

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

2.       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.

3.       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.

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.       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.

6.       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

7.       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.

8.       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).

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, 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, et al. 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.   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.

Chinese Invention Patents

1.         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.

2.         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.