姓名：周川

　　性别：男

　　职称：副研究员

　　学位：博士

　　研究方向：社会计算与社交网络分析

　　电话：010-82546744

　　Email：zhouchuan@iie.ac.cn　

 

　  

个人简介： 　

     周川，男，博士，副研究员，硕士生导师。2008年7月本科毕业于四川大学，2013年7月研究生毕业于中国科学院数学与系统科学研究院，获得理学博士学位，师从著名数学家马志明院士，同年加入中国科学院信息工程研究所信息内容安全技术国家工程实验室，工作至今。研究方向为社会计算与社交网络分析，在关键节点挖掘、传感器优化、扩散源追溯、动态内容建模等方面取得了重要进展。迄今累计发表学术论文60余篇，申请专利6项(其中已授权2项)。曾获2014年度中科院优秀博士学位论文奖、第14届国际计算科学大会（ICCS-14）最佳论文奖、2015年度中科院信工所“引进优秀青年人才”等奖项。负责2项国家自然科学基金和3项国家重点研发计划子课题；作为骨干参与973、中科院先导等多项科研课题。973等多项科研课题。多次担任AAAI、IJCAI、SDM等国际会议的程序委员会委员，担任期刊IEEE Access（IF：2.257）副主编，期刊Complexity（IF:3.059）客座编辑，是IEEE TKDE、ACM TKDD等国内外有影响学术期刊的审稿人。担任中国计算机学会（CCF）高级会员、中国中文信息学会（CIPS）青年工作委员会委员和社会媒体处理专委会通讯委员。 

研究方向：  

　　社会计算与社交网络分析　

社会任职：  　 

·担任期刊IEEE Access副主编、期刊Complexity客座编辑

·多次担任AAAI、IJCAI、SDM等国际会议的程序委员会委员

·担任IEEE/ACM Transactions on Networking、IEEE Transactions on Knowledge and Data Engineering、ACM Transactions on Knowledge Discovery from Data、IEEE Transactions on  Services Computing、IEEE Transactions on Big Data、计算机学报、电子与信息学报等国内外有影响学术期刊的审稿人

·担任中国计算机学会（CCF）高级会员、中国中文信息学会（CIPS）青年工作委员会委员和社会媒体处理专委会通讯委员 

获奖及荣誉： 

·2014年度中国科学院优秀博士学位论文奖 

·2014年第14届国际计算科学大会(ICCS-14)最佳论文奖 

·2015年度中国科学院信息工程研究所“引进优秀青年人才” 

·2011年中科院数学与系统科学研究院院长奖学金特等奖 

·2015年中科院信息工程研究所优秀共产党员 

·2015年信息内容安全技术国家工程实验室优秀员工奖 

·2014年信息内容安全技术国家工程实验室优秀新人奖 

代表性论文

·(AAAI-18) Chun-Yi Liu, Chuan Zhou, Jia Wu, Yue Hu, and Li Guo. Social Recommendation with an Essential Preference Space. In Proceedings of the 32nd AAAI Conference on Artificial Intelligence, Pages 346-353. (CCF-A)

·(IJCAI-18) Li Gao, Hong Yang, Chuan Zhou, Jia Wu, Shirui Pan, and Yue Hu. Active Discriminative Network Representation Learning. In Proceedings of the 27th International Joint Conference on Artificial Intelligence, Pages 2142-2148. (CCF-A)

·(IJCAI-18) Li Gao, Hong Yang, Jia Wu, Chuan Zhou, Wei-Xue Lu, and Yue Hu. Recommendation with Multi-Source Heterogeneous Information. In Proceedings of the 27th International Joint Conference on Artificial Intelligence, Pages 3378-3384. (CCF-A)

·(ICDM-18) Haibo Wang, Chuan Zhou, Jia Wu, Weizhen Dang, Xingquan Zhu, and Jilong Wang. Deep Structure Learning for Fraud Detection. In Proceedings of 2018 International Conference of Data Minig, Pages 567-576. (CCF-B)

·(AAAI-17) Li Gao, Jia Wu, Chuan Zhou, and Yue Hu. Collaborative Dynamic Sparse Topic Regression with User Profile Evolution for Item Recommendation. In Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI-17), Pages 1316-1322. (CCF-A)

·(DMKD-17) Peng Wang, Peng Zhang, Chuan Zhou, and Zhao Li. Hierarchical Evolving Dirichlet Processes for Modeling Nonlinear Evolutionary Traces in Temporal Data. Data Mining and Knowledge Discovery, January 2017, Volume 31, Issue 1, 32-64. (CCF-B)

·(PR-17) Yongshan Zhang, Jia Wu, Chuan Zhou, and Zhihua Cai. Instance cloned extreme learning machine. Pattern Recognition, Volume 68, August 2017, 52-65. (CCF-B)

·(ICASSP-17) Han Deng, Hongtao Xie, Wei Ma, Zhendong Mao, and Chuan Zhou. Double-Bit Quantization and Weighting for Nearest Neighbor Search. In Proceedings of the 42nd IEEE International Conference on Acoustics, Speech and Signal Processing, Pages 1717-1721. (CCF-B)

·(IJCNN-17) Chun-Yi Liu, Chuan Zhou, Jia Wu, Hongtao Xie, Yue Hu, and Li Guo. CPMF: A Collective Pairwise Matrix Factorization Model for Upcoming Event Recommendation. In proceedings of 2017 International Joint Conference on Neural Networks, Pages 1532-1539. (CCF-C, Best Student Paper Award)

·(AAAI-16) Chuan Zhou, Wei-Xue Lu, Peng Zhang, Jie Wu, Yue Hu, and Li Guo. On the Minimum Differentially Resolving Set Problem for Diffusion Source Inference in Networks. In Proceedings of the 30th AAAI Conference on Artificial Intelligence, Pages 79-85. (CCF-A)

·(IJCAI-16) Li Gao, Jia Wu, Hong Yang, Zhi Qiao, Chuan Zhou, and Yue Hu. Semi-Data-Driven Network Coarsening. In Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, Pages 1483-1489. (CCF-A)

·(DASFAA-16) Yongshan Zhang, Jia Wu, Chuan Zhou, Peng Zhang, and Zhihua Cai. Multiple-Instance Learning with Evolutionary Instance Selection. In Proceedings of the 21st International Conference on Database Systems for Advanced Applications, Pages 229-241. (CCF-B)

·(TKDE-15) Chuan Zhou, Peng Zhang, Wenyu Zang, and Li Guo. On the Upper Bounds of Spread for Greedy Algorithms in Social Network Influence Maximization. IEEE Transactions on Knowledge and Data Engineering, Vol. 27, No. 10, 2015, 2770-2783. (CCF-A)

·(TKDE-15) Peng Zhang, Chuan Zhou, Peng Wang, Byron J. Gao, Xingquan Zhu, and Li Guo. E-Tree: an efficient indexing structure for ensemble models on data streams. IEEE Transactions on Knowledge and Data Engineering, Vol. 27, No. 2, 2015, 461-474. (CCF-A)

·(IJCAI-15) Weixue Lu, Peng Zhang, Chuan Zhou, Chunyi Li, and Li Gao. Big Network Influence Maximization: An Incremental Algorithm for Streaming Subgraph Inuence Spread Estimation. In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, Pages 2076-2082. (CCF-A)

·(AAAI-14) Zhi Qiao, Peng Zhang, Yanan Cao, Chuan Zhou, and Li Guo. Combining Heterogenous Social and Geographical Information for Event Recommendation. In Proceedings of the 28th AAAI Conference on Artificial Intelligence, Pages 145-151. (CCF-A)

·(ICDM-14) Zhi Qiao, Peng Zhang, Wenjia Niu, Chuan Zhou, Peng Wang, and Li Guo. Online Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction. In Proceedings of the 14th IEEE International Conference on Data Mining, Pages 520-529. (CCF-B)

·(ICCS-14) Wenyu Zang, Peng Zhang, Chuan Zhou, and Li Guo. Discovering Multiple Diffusion Source Nodes in Social Networks. Procedia Computer Science (The 14th International Conference on Computational Science), Pages 443–452. (ERA-A, Best Main Track Paper Award)

·(ICDM-13) Chuan Zhou, Peng Zhang, Jing Guo, Xinquan Zhu, and Li Guo. UBLF: An Upper Bound Based Approach to Discover Influential Nodes in Social Networks. In Proceedings of the 13th IEEE International Conference on Data Mining, Pages 907-916. (CCF-B)

·(CIKM-13) Jing Guo, Peng Zhang, Chuan Zhou, Yanan Cao, and Li Guo. Personalized Influence Maximization on Social Networks. In Proceedings of the 22th ACM International Conference on Information and Knowledge Management, Pages 199-208. (CCF-B)

 

承担科研项目情况:

 1.2019-01-01至2022-12-31，国家自然科学基金面上项目“基于网络嵌入的图异常检测模型研究”，项目负责人

 2.2016-01-01至2018-12-31，国家自然科学基金青年科学基金项目“社交网络级联数据流异常检测模型研究”，项目负责人

 3.2017-09-01至2020-08-31，国家重点研发计划子课题“舆情事件传播态势预测与影响力评估”，子课题执行负责人

 4.2016-12-01至2020-11-30，国家重点研发计划子课题“异常信息分析与溯源”，子课题负责人

 5.2016-12-01至2019-11-30，国家重点研发计划子课题“网络空间资源的基础坐标系和多尺度剖分方法”，子课题负责人

 6.2014-01-01至2017-12-31，国家自然科学基金面上项目“下一代大数据流分类系统研究”，项目执行负责人

 7.2013-01-01至2017-08-31，国家重点基础研究发展计划（973计划）项目“社交网络分析与网络信息传播的基础理论研究”，课题骨干

 8.2012-01-01至2016-12-31，中科院战略性先导科技专项“社会态势感知与处理”，课题骨干