Jing ZHANG

Assistant Professor

Department of Computer Science and Technology
Information School Renmin University of China

Email: zhang-jing AT ruc DOT edu DOT cn

Address: Room 427, Information Building, Renmin University of China, Beijing

Short Bio

I am now an assistant professor at Computer Science Department, Renmin University of China.

Prior to that, I received my Ph.D. degree from Computer Science Department, Tsinghua University under supervision of Professor Jie Tang and Professor Juanzi Li.

My current research interest falls in area of knowledge graph acquisition and reasoning, and recommendation and question answering on knowledge graphs. My google scholar citation number is more than 3300 now.

I am looking for highly-motivated students to work with me. If interested, please drop me a message by email.

Conference Publications

  1. Bowen Hao, Jing Zhang, Cuiping Li, Hong Chen, and Hongzhi Yin. Graph Contrastive Coding for Structural Graph Representation Pre-Training. In Proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD'20).
  2. Jiezhong Qiu, Qibin Chen, Yuxiao Dong, Jing Zhang, Hongxia Yang, Ming Ding, Kuansan Wang, and Jie Tang. Graph Contrastive Coding for Structural Graph Representation Pre-Training. In Proceedings of the Twenty-Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'20).
  3. Xiaobin Tang, Jing Zhang, Bo Chen, Yang Yang, Hong Chen, Cuiping Li. BERT-INT: A BERT-based Interaction Model For Knowledge Graph Alignment. In Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI'20). [PDF] [Data&Code]
  4. Bo Chen, Jing Zhang, Xiaobin Tang, Hong Chen, Cuiping Li. JarKA: Modeling Attribute Interactions for Cross-lingual Knowledge Alignment. In the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'20). [PDF] [PPT] [Data&Code]
  5. Bowen Hao, Jing Zhang, Cuiping Li, Hong Chen. Few-Shot Representation Learning for Cold-Start Users and Items. In the 4th APWeb-WAIM International Joint Conference on Web and Big Data (APWEB'20). [PDF]
  6. Yanling Wang, Cuiping Li, Jing Zhang, Peng Ni, Hong Chen. Graph Convolutional Network using a Reliability-based Feature Aggregation Mechanism. In the 5th International Conference on Database Systems for Advanced Applications (DASFAA'20). [PDF]
  7. Jing Zhang, Bowen Hao, Bo Chen, Cuiping Li, Hong Chen, Jimeng Sun. Hierarchical Reinforcement Learning for Course Recommendation in MOOCs. In Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI'19). [PDF] [PPT] [Poster]
  8. 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 Proceedings of the International Conference on Information and Knowledge Management (CIKM'18). [PDF] [PPT]
  9. Jing Zhang, Jie Tang, Yuanyi Zhong, Yuchen Mo, Juanzi Li, Guojie Song, Wendy Hall, and Jimeng Sun. StructInf: Mining Structural Influence from Social Streams. In Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI'17). [PDF] [Poster]
  10. 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). [PDF]
  11. Jing Zhang, Jie Tang, Cong Ma, Hanghang Tong, Yu Jing, and Juanzi Li. Panther: Fast Top-k Similarity Search on Large Networks. In Proceedings of the Twenty-First ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'15). [PDF] [Slides_PDF] [Slides_PPT] [Poster] [Code&Data]
  12. Yuxiao Dong, Jing Zhang, Jie Tang, Nitesh V. Chawla, and Bai Wang. CoupledLP: Link Prediction in Coupled Networks. In Proceedings of the Twenty-First ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'15). [PDF]
  13. Jing Zhang, Jie Tang, Honglei Zhuang, Cane Wing-Ki Leung, and Juanzi Li. Role-aware Conformity Influence Modeling and Analysis in Social Networks. In Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI'14). [PDF]
  14. Jing Zhang, Biao Liu, Jie Tang, Ting Chen, and Juanzi Li. Social Influence Locality for Modeling Retweeting Behaviors. In Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI'13). pp. 2761-2767. [PDF] [Data&Code] [Poster]
  15. 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.(Demo paper) In Proceedings of the Ninteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'13). pp. 1502-1505. [PDF] [Poster]
  16. 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 Proceedings of 2009 IEEE International Conference on Data Mining (ICDM'09). pp. 1055-1060. [PDF] [Slides]
  17. Jie Tang and Jing Zhang. A Discriminative Approach to Topic-based Citation Recommendation. In Proceedings of 2009 Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'09). pp. 572-579. [PDF] [Slides]
  18. Zi Yang, Jie Tang, Jing Zhang, and Juanzi Li. Topic-level Random Walk Through Probabilistic Model. In Proceedings of 2009 Asia-Pacific Web Conference and Web-Age Information Management (APWEB-WAIM'09). pp. 162-173.
  19. Jie Tang, Jing Zhang, Limin Yao, Juanzi Li, Li Zhang, and Zhong Su. ArnetMiner: Extraction and Mining of Academic Social Networks. In Proceedings of the Fourteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD'08). pp.990-998. [PDF] [Slides] [System] [API] [Citation Data] [DBLP Citation Data] [More Data] (Top 3 cited papers among all KDD 2008's papers, More...)
  20. Jie Tang, Ruoming Jin, and Jing Zhang. A Topic Modeling Approach and its Integration into the Random Walk Framework for Academic Search. In Proceedings of 2008 IEEE International Conference on Data Mining (ICDM'08). pp. 1055-1060. [PDF] [Slides] [Data]
  21. Jing Zhang, Jie Tang, Bangyong Liang, Zi Yang, Sijie Wang, Jingjing Zuo, and Juanzi Li. Recommendation over a Heterogeneous Social Network. In Proceedings of the 9th International Conference on Web-Age Information Management (WAIM'08). pp. 309-316. [PDF]
  22. Feng Wang, Juanzi Li, Jie Tang, Jing Zhang and Kehong Wang. Name Disambiguation Using Atomic Clusters. In Proceedings of the 9th International Conference on Web-Age Information Management (WAIM'08). pp. 357-364. [PDF]
  23. Jing Zhang, Jie Tang, Liu Liu, and Juanzi Li. A Mixture Model for Expert Finding. In Proceedings of 2008 Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'08). pp. 466-478. [URL] [PDF] [Slides]
  24. Jie Tang, Jing Zhang, Limin Yao, and Juanzi Li. Extraction and Mining of an Academic Social Network. (Poster Paper). In Proceedings of the 17th International World Wide Web Conference (WWW'08). ACM Press. pp. 1193-1194. [PDF]
  25. Jie Tang, Jing Zhang, Duo Zhang, and Juanzi Li. A Unified Framework for Name Disambiguation. (Poster Paper). In Proceedings of the 17th International World Wide Web Conference (WWW'08). ACM Press. pp. 1205-1206. [PDF]
  26. Jie Tang, Jing Zhang, Duo Zhang, Limin Yao, and Chunlin Zhu. ArnetMiner: An Expertise Oriented Search System for Web Community. Semantic Web Challenge. In Proceedings of the 6th International Conference of Semantic Web(ISWC'07).
  27. Jing Zhang, Jie Tang, and Juanzi Li. Expert Finding in a Social Network. (Poster paper) In Proceedings of the Twelfth Database Systems for Advanced Applications(DASFAA'07). pp. 1066-1069 [PDF]

Journal Publications

  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) [PDF]
  2. 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) [PDF]
  3. Jing Zhang, Zhanpeng Fang, Wei Chen, and Jie Tang. Diffusion of "Following" Links in Microblogging Networks. IEEE Transaction on Knowledge and Data Engineering (TKDE) , 2015. 27(8):2093-2106. (if =1.815) [PDF] [Slides_PDF] [Slides_PPT]
  4. Jing Zhang, Jie Tang, Juanzi Li, Yang Liu, and Chunxiao Xing. Who Influenced You? Predicting Retweet via Social Influence Locality. ACM Transactions on Knowledge Discovery from Data (TKDD) , 2015. 27(8):2093-2106. (if=1.419) [PDF] [Code&Data]
  5. Jie Tang, A.C.M. Fong, Bo Wang, and Jing Zhang. A Unified Probabilistic Framework for Name Disambiguation in Digital Library. IEEE Transaction on Knowledge and Data Engineering (TKDE) , 2012, Volume 24, Issue 6, Pages 975-987. (if=2.236) [PDF]
  6. 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, Volume 82, Issue 2, Pages 211-237. (if=1.742) [PDF] [URL]
  7. Jie Tang, Limin Yao, Duo Zhang, and Jing Zhang. A Combination Approach to Web User Profiling. ACM Transactions on Knowledge Discovery from Data (TKDD), 2010, Volume 5, Issue 1, Pages 2:1-2:44. (if=1.419) [PDF]
  8. Jie Tang and Jing Zhang. Modeling Evolution of Associated Data. Data & Knowledge Engineering (DKE), 2010, Volume 69, Issue 9, pages 965-978. (if=1.745) [PDF] [URL]
  9. Jing Zhang, Chune Ma, Chenting Zhao, Jun Zhang, Li Yi, and Xinsheng Mao. A novel ranking framework for linked data from relational databases. Tsinghua Science & Technology, 2010, Volume 15, Issue 6, pages 642-649. (if=0.312) [URL]
  10. Juanzi Li, Jie Tang, Jing Zhang, Qiong Luo, Yunhao Liu and Mingcai Hong. Arnetminer: Expertise Oriented Search Using Social Networks. Frontiers of Computer Science in China, 2008, Volume 2, Issue 1, pages 94-105.

Research Experience

Academic Services

Honors & Awards