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张静

中国人民大学信息学院计算机系副教授。目前主要研究方向是知识图谱挖掘与推理等方面的相关研究。发表论文45篇,其中包括十余篇KDD、TKDE、TOIS、IJCAI、AAAI等国际顶级会议或期刊论文。Google引用次数3800余次。近年来任SIGKDD、IJCAI等领域内国际顶级学术会议高级程序委员会委员以及TKDE、TOIS、TKDD、中国科学等知名杂志审稿人。任AI Open杂志Associate Editor。

个人主页:https://xiaojingzi.github.io/

电子邮箱:zhang-jing@ruc.edu.cn

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教育经历

清华大学计算机系 工学博士 2012年8月-2016年7月

清华大学计算机系 工学硕士 2006年8月-2009年1月

北京交通大学计算机系 工学学士 2002年9月-2006年7月

美国伊利诺伊香槟分校 访问学生 2014年1月-2014年5月

比利时鲁汶大学 访问学生 2015年5月-2015年6月

工作经历

中国人民大学信息学院 副教授 2020年8月至今

中国人民大学信息学院 讲师 2016年9月-2020年8月

IBM中国研发中心 软件工程师 2009年2月-2012年7月

研究方向

机器学习与深度学习在知识图谱对齐、推理与问答等方面的研究,图神经网络及在异常检测、推荐等方面的应用。

讲授课程

非结构化大数据分析(大数据专业必修课) 2021年春季学期

人工智能与机器学习(全校公共课) 2020年秋季学期

非结构化大数据分析(大数据专业必修课) 2020年春季学期

人工智能与机器学习(全校公共课) 2020年春季学期

社会计算导论 2019年春季学期

人工智能与机器学习(全校公共课) 2019年春季学期

人工智能与机器学习(全校公共课) 2018年春季学期

社会计算导论 2018年春季学期

人工智能与机器学习(全校公共课) 2018年秋季学期

科研项目

基于图表示与逻辑规则学习的知识图谱推理技术研究, 国家自然科学基金面上科学基金, 62076245,2021.1.1-2024.12.31

基于信任影响力的社会推荐方法研究, 国家自然科学基金青年科学基金, 61702522,2018.1.1-2020.12.31

基于大规模在线教育数据的用户学习行为分析与建模,教育部在线教育研究中心,2017ZD205,2017.1.1-2018.12.31

社会影响力的深度挖掘与快速度量(中国人民大学新教师启动金项目), 17XNLF09, 2017.1.1-2019.12

科研成果

· Bowen Hao, Jing Zhang, Hongzhi Yin, Cuiping Li, and Hong Chen. Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation. In Proceedings of International Conference on Web Search and Data Mining (WSDM’21).

· Jiarong Xu, Yang Yang, Chunping Wang, Zongtao Liu, Jing Zhang, Lei Chen and Jiangang Lu. Robust Network Enhancement from Flawed Networks. IEEE Transaction on Knowledge and Data Engineering (TKDE) , 2020.

· Bowen Hao, Jing Zhang, Cuiping Li, Hong Chen, and Hongzhi Yin. Recommending Courses in MOOCs for Jobs: An Auto Weak Supervision Approach. In Proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD‘20).

· Jing Zhang, Bo Chen, Lingxi Zhang, Xirui Ke and Haipeng Ding. Neural-Symbolic Reasoning on Knowledge Graphs. (https://arxiv.org/abs/2010.05446).

· Bo Chen, Jing Zhang, Jie Tang, Lingfan Cai, Zhaoyu Wang, Shu Zhao, Hong Chen, and Cuiping Li. CONNA: Addressing Name Disambiguation on The Fly. IEEE Transaction on Knowledge and Data Engineering (TKDE) , 2020.

· 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 KDD’20.

· Xiaobin Tang, Jing Zhang, Bo Chen, Yang Yang, Hong Chen, Cuiping Li. BERT-INT: A BERT-based Interaction Model For Knowledge Graph Alignment. In IJCAI’20.

· Bo Chen, Jing Zhang, Xiaobin Tang, Hong Chen, Cuiping Li. JarKA: Modeling Attribute Interactions for Cross-lingual Knowledge Alignment. In PAKDD’20.

· Bowen Hao, Jing Zhang, Cuiping Li, Hong Chen. Few-Shot Representation Learning for Cold-Start Users and Items. In APWEB’20.

· Yanling Wang, Cuiping Li, Jing Zhang, Peng Ni, Hong Chen. Graph Convolutional Network using a Reliability-based Feature Aggregation Mechanism. In DASFAA’20.

· 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.

· Jing Zhang, Bowen Hao, Bo Chen, Cuiping Li, Hong Chen, Jimeng Sun. Hierarchical Reinforcement Learning for Course Recommendation in MOOCs. In AAAI’19.

· 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.

· 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.

· Jing Zhang, Jie Tang, Yuanyi Zhong, Yuchen Mo, Jimeng Sun, and Juanzi Li. StructInf: Mining Structural Influence from Social Streams. In AAAI’17.

· 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. 

· Yuxiao Dong, Jing Zhang, Jie Tang, Nitesh V. Chawla, Bai Wang. CoupledLP: Link Prediction in Coupled Networks. In KDD’15.

· 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.

· 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. In ICDM’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)

社会兼职

高级程序委员会委员 SIGKDD2021, IJCAI2021

程序委员会委员 SIGKDD2020, WWW2020,SIGKDD2019,IJCAI2016,ASONAM2016,ICWSM2016,CIKM2016,ICWSM2015,ICDM2014,ASONAM2014

出版主席 WSDM2015

审稿人 TKDE,TKDD,TOIS,DMKD,中国科学

荣誉获奖

中国人民大学信息学院十佳班主任 2019

中国人民大学信息学院社会工作先进工作者 2019

北京市优秀毕业生,清华大学计算机系优秀毕业生 2016

国家奖学金 2015

清华大学二等奖学金 2014

清华学大学董氏东方校友奖学金 2013

IBM优秀学生奖学金 2008

北京市优秀本科毕业生 2006

北京交通大学一等奖学金 2003/2004/2005