張靜

清華大學計算機系 工學博士 2012年8月-2016年7月

清華大學計算機系 工學碩士 2006年8月-2009年1月

北京交通大學計算機系 工學學士 2002年9月-2006年7月

美國伊利諾伊香檳分校 訪問學生 2014年1月-2014年5月

比利時魯汶大學 訪問學生 2015年5月-2015年6月 ^[1] 

中國人民大學信息學院 講師 2016年9月至今

IBM中國研發中心 軟件工程師 2009年2月-2012年7月 ^[1] 

機器學習、深度學習以及強化學習在知識圖譜和社會網絡方面的應用，目前主要聚焦異構社會網絡對齊，跨語言知識圖譜對齊，命名排歧以及推薦系統等。 ^[1] 

人工智能與機器學習（全校公共課） 2018年春季學期

社會計算導論 2018年春季學期

人工智能與機器學習（全校公共課） 2018年秋季學期

社會計算導論 2019年春季學期

人工智能與機器學習（全校公共課） 2019年春季學期 ^[1] 

基於信任影響力的社會推薦方法研究, 國家自然科學基金青年科學基金, 61702522，2018.1.1-2020.12.31

基於大規模在線教育數據的用户學習行為分析與建模，教育部在線教育研究中心，2017ZD205，2017.1.1-2018.12.31

社會影響力的深度挖掘與快速度量（中國人民大學新教師啓動金項目）, 17XNLF09, 2017.1.1-2019.12 ^[1] 

· Yukuo Cen, Jing Zhang, Gaofei Wang, Yujie Qian, Chuizheng Meng, Zonghong Dai, Hongxia Yang, Jie Tang. Trust Relationship Prediction in Alibaba E-Commerce Platform. IEEE Transaction on Knowledge and Data Engineering (TKDE) , 2019 (if =1.3)

· Jing Zhang, Bowen Hao, Bo Chen, Cuiping Li, Hong Chen, Jimeng Sun. Hierarchical Reinforcement Learning for Course Recommendation in MOOCs. In AAAI’19. (Full Paper, Acceptance rate: 16.2%)

· Jing Zhang, Bo Chen, Xianming Wang, Hong Chen, Cuiping Li, Fengmei Jin, Guojie Song and Yutao Zhang. MEgo2Vec: Embedding Matched Ego Networks for User Alignment Across Social Networks. In CIKM’18. (Full Paper, Acceptance rate: 17%)

· Jing Zhang, Jie Tang, Cong Ma, Hanghang Tong, Yu Jing, Juanzi Li, Walter Luyten, and Marie-Francine Moens. Fast and Flexible Top-k Similarity Search on Large Networks. ACM Transactions on Information Systems (TOIS) , 2017, Volume 36, Issue 2. (if =1.3)

· Jing Zhang, Jie Tang, Yuanyi Zhong, Yuchen Mo, Jimeng Sun, and Juanzi Li. StructInf: Mining Structural Influence from Social Streams. In AAAI’17.(Full Paper, Acceptance rate: 25%)

· Xiaotao Gu, Hong Yang, Jie Tang, and Jing Zhang. Web User Profiling using Data Redundancy. In Proceedings of the 2016 International Conference on Social Networks Analysis and Mining (ASONAM’16). (Best Student Paper Runner-up)

· Jing Zhang, Jie Tang, Cong Ma, Hanghang Tong, Yu Jing, and Juanzi Li. Panther: Fast Top-k Similarity Search in Large Networks. In KDD’15.(Full Paper, Acceptance rate: 19%)

· Yuxiao Dong, Jing Zhang, Jie Tang, Nitesh V. Chawla, Bai Wang.CoupledLP: Link Prediction in Coupled Networks. In KDD’15. (Full Paper, Acceptance rate: 19%)

· Jing Zhang, Jie Tang, Cong Ma, Hanghang Tong, Yu Jing, Juanzi Li, Walter Luyten, and Marie-Francine Moens. Fast and Flexible Top-k Similarity Search on Large Networks. ACM Transactions on Information Systems (TOIS) , 2017, Volume 36, Issue 2. (if =1.3)

· Jing Zhang, Zhanpeng Fang, Wei Chen, and Jie Tang. Diffusion of “Following” Links in Microblogging Networks.TKDE, 2015, 27(8):2093-2106.

· Jing Zhang, Jie Tang, Juanzi Li, Yang Liu, and Chunxiao Xing. Who Influenced You? Predicting Retweet via Social Influence Locality.TKDD, 2015, 9(3).

· Honglei Zhuang,Jing Zhang, George Brova, JieTang, Hasan Cam, XifengYan, and JiaweiHan. Mining Query-Based Subnetwork Outliers in Heterogeneous Information Networks. InICDM’14. pp. 958-965.

· Jing Zhang, Jie Tang, Honglei Zhuang, Cane Wing-Ki Leung, and Juanzi Li. Role-aware Conformity Influence Modeling and Analysis in Social Networks. In AAAI’14. pp. 1-7.

· Jing Zhang, Biao Liu, Jie Tang, Ting Chen, and Juanzi Li. Social Influence Locality for Modeling Retweeting Behaviors. In IJCAI’13. pp. 2761-2767.

· Yang Yang, Jianfei Wang, Yutao Zhang, Wei Chen, Jing Zhang, Honglei Zhuang, Zhilin Yang, Bo Ma, Zhanpeng Fang, Sen Wu, Xiaoxiao Li, Debing Liu, and Jie Tang. SAE: Social Analytic Engine for Dynamic Networks. In KDD’13. pp. 1502-1505. (Demo paper)

· Jie Tang, A.C.M. Fong, Bo Wang, and Jing Zhang. A Unified Probabilistic Framework for Name Disambiguation in Digital Library. TKDE, 2012, 24(6): 975-987.

· Jie Tang, Jing Zhang, Ruoming Jin, Zi Yang, Keke Cai, Li Zhang, and Zhong Su. Topic Level Expertise Search over Heterogeneous Networks. Machine Learning Journal, 2011, 82(2): 211-237.

· Jie Tang, Limin Yao, Duo Zhang, and Jing Zhang. A Combination Approach to Web User Profiling. TKDD, 2010, 5(1):2:1-2:44.

· Jie Tang and Jing Zhang. Modeling Evolution of Associated Data. DKE, 2010, 69(9): 965-978.

· Jie Tang, Jing Zhang, Jeffrey Xu Yu, Zi Yang, Keke Cai, Rui Ma, Li Zhang, and Zhong Su. Topic Distributions over Links on Web. In ICDM’09. pp. 1055-1060.

· Jie Tang and Jing Zhang. A Discriminative Approach to Topic-based Citation Recommendation. In PAKDD’09. pp. 572-579.

· Zi Yang, Jie Tang, Jing Zhang, and Juanzi Li. Topic-level Random Walk Through Probabilistic Model. In APWEB-WAIM’09. pp. 162-173.

· Jie Tang, Jing Zhang, Limin Yao, Juanzi Li, Li Zhang, and Zhong Su. ArnetMiner: Extraction and Mining of Academic Social Networks. In KDD’08. pp.990-998. (Top 3 cited papers among all KDD 2008’s papers)

· Jing Zhang, Jie Tang, Bangyong Liang, Zi Yang, Sijie Wang, Jingjing Zuo, and Juanzi Li. Recommendation over a Heterogeneous Social Network. In WAIM’08. pp. 309-316.

· Jing Zhang, Jie Tang, Liu Liu, and Juanzi Li. A Mixture Model for Expert Finding. In PAKDD’08. pp. 466-478.

· Jing Zhang, Jie Tang, and Juanzi Li. Expert Finding in a Social Network. In DASFAA’07. pp. 1066-1069. (Poster paper) ^[1] 

程序委員會委員 SIGKDD2019,IJCAI2016,ASONAM2016,ICWSM2016,CIKM2016,ICWSM2015,ICDM2014,ASONAM2014

出版主席 WSDM2015

審稿人 TKDE,TKDD,TOIS ^[1] 

北京市優秀畢業生，清華大學計算機系優秀畢業生 2016

國家獎學金 2015

清華大學二等獎學金 2014

清華學大學董氏東方校友獎學金 2013

IBM優秀學生獎學金 2008

北京市優秀本科畢業生 2006

北京交通大學一等獎學金 2003/2004/2005 ^[1]