Ming Zhang


Institute of Network Computing and Information Systems
School of Electronics Engineering and Computer Science
Peking University

Email: mzhang[at]net.pku.edu.cn

张铭主讲的华文慕课课程《数据结构与算法(上)》、Coursera MOOC专项课程 《数据结构基础》(Basic Data Structures and Algorithms) 《高级数据结构算法》(Advanced Data Structures and Algorithms)

招机器学习、文本挖掘方向直博生(2018年入学)、本科实习生若干名。联系email : mzhang [at] net.pku.edu.cn


         张铭,北京大学信息科学技术学院教授,博士生导师,CCF教育工委会副主任,ACM教育 专委会惟一的中国理事,中国ACM教育专委会主席,ACM/IEEE IT2017学科执委,ACM/IEEE CC2020计算机学科规范领导小组成员。自1984年考入北京大学,分别获得学士、硕士和博士学位。研究方向为文本挖掘、社会网络分析等,目前主持国家自然科学基金和教育部博士点基金在研项目,合作发表科研学术论文100多篇(ICML, KDD, AAAI, IJCAI, TKDE等A类会议和期刊),获得ICML 2014最佳论文奖,获WWW 2016最佳论文提名。发表了SIGCSE、L@S等教学研究论文,出版学术专著1部,获软件著作权6项,获发明专利3项。主编多部教材,其中2部教材为国家“十一五”规划教材,《数据结构与算法》获北京市精品教材奖并得到国家“十二五”规划教材支 持。主持的“数据结构与算法”被评选为国家级和北京市级精品课程,也是教育部精品资源共享课程。

         Ming Zhang received her Bachelor, master and PhD degrees in Computer Science from Peking University respectively . She is a full professor at the School of Electronics Engineering and Computer Science, Peking University. Prof. Zhang is the vice director of CCF Educational Committee, a member of ACM Education Council and the Chair of ACM SIGCSE China. She is one of the five Executive Committee Members of ACM/IEEE IT2017 and a member of the ACM/IEEE CC2020 steering group. She has published more 100 research papers on Text Mining and Social Computing in the top journals and conferences, such as ICML, KDD, AAAI, ACL, WWW and TKDE. She won the best paper of ICML 2014 and best paper nominee of WWW 2016. Prof. Zhang is the leading author of several textbooks on Data Structures and Algorithms in Chinese, and the corresponding course is awarded as the National Elaborate Course by MOE China.

Research Group: Dlib Group

Google Scholar Citations (被引用 3600多次,H 因子 26)

  • Xiang Li, Lili Mou, RuiYan, Ming Zhang. StalemateBreaker: A Proactive Content-Introducing Approach to Automatic Human-Computer Conversation. IJCAI 2016: 2845-2851.《每日邮报》报道;北大新闻报道
  • Yin Yichun, Wei Furu, Dong Li, Xu Kaimeng, Zhang Ming and Zhou Ming. Unsupervised Word and Dependency Path Embeddings for Aspect Term Extraction. IJCAI 2016: 2979-2985.
  • Jian Tang, Jingzhou Liu, Ming Zhang, Qiaozhu Mei. Visualizing Large-scale and High-dimensional Data. WWW 2016: 287-297. Best paper nominee.
  • Chenguang Wang, Yangqiu Song, Haoran Li, Ming Zhang, Jiawei Han. Text Classification with Heterogeneous Information Network Kernels. AAAI 2016: 2130-2136.
  • Chenguang Wang, Yangqiu Song, Ahmed El-Kishky, Dan Roth, Ming Zhang, Jiawei Han, Incorporating World Knowledge to Document Clustering via Heterogeneous Information Networks. SIGKDD 2015:1215-1224.
  • Rui Yan, Yiping Song, Cheng-Te Li, Ming Zhang, Xiaohua Hu: Opportunities or Risks to Reduce Labor in Crowdsourcing Translation? Characterizing Cost versus Quality via a PageRank-HITS Hybrid Model. IJCAI 2015: 1025-1032.
  • Ming Zhang, Jile Zhu, Yanzhen Zou, Hongfei Yan, Dan Hao, Chuxiong Liu: Educational Evaluation in the PKU SPOC Course "Data Structures and Algorithms". In Proc. of ACM Conference on Learning at Scale , L@S 2015: 237-240
  • Chenguang Wang, Yangqiu Song, Dan Roth, Chi Wang, Jiawei Han, Heng Ji, Ming Zhang. Constrained Information-Theoretic Tripartite Graph Clustering to Identify Semantically Similar Relations. IJCAI 2015: 3882-3889
  • Jian Tang, Meng Qu, Mingzhe Wang, Ming Zhang, Jun Yan, Qiaozhu Mei. LINE: Large-scale Information Network Embedding. WWW 2015: 1067-1077.源代码下载
  • Fangtao Li, Sheng Wang, Shenghua Liu, Ming Zhang. SUIT: A Supervised User-Item based Topic model for Sentiment Analysis. In Proc. of Twenty-Eighth Conference on Artificial Intelligence (AAAI-14), 2014:1636-1642.
  • Ziqi Wang, Gu Xu, Hang Li, and Ming Zhang, A Probabilistic Approach to String Transformation. IEEE Trans. Knowl. Data Eng. 26(5): 1063-1075 (2014).
  • Jian Tang, Zhaoshi Meng, XuanLong Nguyen, Qiaozhu Mei, Ming Zhang. Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis. ICML 2014: 190-198 (Best Paper)
  • Jian Tang, Ming Zhang, and Qiaozhu Mei. One Theme in All Views: Modeling Consensus Topics in Multiple Contexts. KDD 2013, Oral full paper. Chicago, U.S, August 11-14, 2013. PP5-13..
  • Tao Sun, Ming Zhang, and Qiaozhu Mei. Unexpected Relevance: An Empirical Study of Serendipity in Retweets. In The 7th International AAAIConference on Weblogs and Social Media, 2013.
  • Xiaolong Wang, Furu Wei, Xiaohua Liu, Ming Zhou and Ming Zhang. Graph-based Sentiment Classification for Hashtags in Twitter. CIKM 2011, Glasgow, UK. PP1031-1040.
  • Ziqi Wang, Gu Xu, Hang Li and Ming Zhang, A Fast and Accurate Method for Approximate String Search. The 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL’11), Portland, Oregon, USA, June 19-24, 2011. PP52-61.
  • Bolanle Ojokoh, Ming Zhang and Jian Tang, A Trigram Hidden Markov Model for Metadata Extraction from heterogeneous References, Information Sciences, vol. 181, no. 9, 2011, pp. 1538-1551.
  • 张铭, 李晓明. 社区问答架构, 《中国计算机协会通讯》, 2010 年 8 月(第 6 卷 第 8 期,总第 54期), 48-52.
  • Haoyuan Li, Yi Wang, Dong Zhang, Ming Zhang and Edward Chang. PFP: Parallel FP-Growth for Query Recommendation. In ACM Recommender Systems 2008. October 23-25, 2008 Polydôme Lausanne Switzerland. Pages 107-114. PFP has been made part of Apache Mahout (http://mahout.apache.org/users/misc/parallel-frequent-pattern-mining.html).
  • 张铭,银平,邓志鸿,杨冬青,“SVM+BiHMM:基于统计方法的元数据自动抽取混合模型”。《软件学报》.19(2).358-368,2008年2月
  • 邓志鸿,唐世渭,张铭,杨冬青,陈捷。“Ontology研究综述”。《北京大学学报》(自然科学),2002年9月,第38卷5期:730-738。
  • Ming Zhang, Virginia Mary Lo: Undergraduate computer science education in China. In Gary Lewandowskiet. al. (Eds.): Proceedings of the 41st ACM technical symposium on Computer science education, SIGCSE 2010, Milwaukee, Wisconsin, USA, March 10-13, 2010. ACM 2009, ISBN 978-1-4503-0006-3 pp. 396-400.A referred paper by the course "Images of Computing" delivered by Dr. Carol Frieze, http://www.cs.cmu.edu/~cfrieze/courses/
  • 张铭,耿国华,陈卫卫,胡学刚. 数据结构与算法课程教学实施方案[J]。中国大学教学,2011(3):PP56-60.
  • 张铭,赵海燕,王腾蛟,宋国杰,《数据结构与算法实验教程》,高等教育出版社,2011年1月。普通高等教育“十一五”国家级规划教材。
  • 张铭、王腾蛟、赵海燕,《数据结构与算法》,高等教育出版社,2008年 6月。普通高等教育“十一五”国家级规划教材
  • 张铭、赵海燕、王腾蛟,《数据结构与算法--学习指导与习题解析》,高等教育出版社,2005年 10月。普通高等教育“十五”国家级规划教材配套参考书
  • 李晓明、陈平、张铭、朱敏悦。“关于计算机人才需求的调研报告”。《计算机教育》,2004年8月,PP11-18。

Last Updated: October. 2016