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1. Wei Ju, Yifang Qin, Ziyue Qiao, Xiao Luo, Yifan Wang, Yanjie Fu, Ming Zhang:Kernel-based Substructure Exploration for Next POI Recommendation. ICDM 2022最佳论文提名
2. Jianhao Shen, Yichun Yin, Lin Li, Lifeng Shang, Xin Jiang, Ming Zhang, Qun Liu: Generate & Rank: A Multi-task Framework for Math Word Problems. EMNLP (Findings) 2021: 2269-2279
3. Kewei Cheng, Ziqing Yang, Ming Zhang, Yizhou Sun: UniKER: A Unified Framework for Combining Embedding and Definite Horn Rule Reasoning for Knowledge Graph Inference. EMNLP (1) 2021: 9753-9771
4. A Clear, A Parrish, J Impagliazzo, P Wang, P Ciancarini, E Cuadros-Vargas, S Frezza, J Gal-Ezer, A Pears, S Takada, H Topi, G van der Veer, A Vichare, L Waguespack, M Zhang: Computing curricula 2020 (CC2020) paradigms for global computing education. ACM/IEEE
5. Yifan Wang, Suyao Tang, Yuntong Lei, Weiping Song, Sheng Wang, Ming Zhang: DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation. CIKM 2020: 1605-1614
6. Chence Shi, Minkai Xu, Zhaocheng Zhu, Weinan Zhang, Ming Zhang, Jian Tang: GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation. ICLR 2020
7. Chence Shi, Minkai Xu, Hongyu Guo, Ming Zhang, Jian Tang: A Graph to Graphs Framework for Retrosynthesis Prediction. ICML 2020: 8818-8827
8. Ming Zhang, Jile Zhu, Zhuo Wang, Yunfan Chen: Providing personalized learning guidance in MOOCs by multi-source data analysis. World Wide Web 22(3): 1189-1219 (2019).
9. Ming Zhang, Bo Yang, Steve Cooper, Andrew Luxton-Reilly: Proceedings of the ACM Conference on Global Computing Education, CompEd 2019, Chengdu, Sichuan, China, May 17-19, 2019. ACM 2019, ISBN 978-1-4503-6259-7
10. Weiping Song, Chence Shi, Zhiping Xiao, Zhijian Duan, Yewen Xu, Ming Zhang, Jian Tang: AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks. CIKM 2019: 1161-1170.
11. Weiping Song, Zhiping Xiao, Yifan Wang, Laurent Charlin, Ming Zhang, Jian Tang: Session-Based Social Recommendation via Dynamic Graph Attention Networks. WSDM 2019: 555-563
12. Yiping Song, Cheng-Te Li, Jian-Yun Nie, Ming Zhang, Dongyan Zhao, Rui Yan: An Ensemble of Retrieval-Based and Generation-Based Human-Computer Conversation Systems. IJCAI 2018: 4382-4388
13. Meng Qu, Jian Tang, Jingbo Shang, Xiang Ren, Ming Zhang, Jiawei Han: An Attention-based Collaboration Framework for Multi-View Network Representation Learning. CIKM 2017: 1767-1776
14. Chenguang Wang, Yangqiu Song, Haoran Li, Ming Zhang, Jiawei Han: Text Classification with Heterogeneous Information Network Kernels. AAAI 2016: 2130-2136
15. Yichun Yin, Furu Wei, Li Dong, Kaimeng Xu, MingZhang, Ming Zhou: Unsupervised Word and Dependency Path Embeddings for Aspect Term Extraction. IJCAI 2016: 2979-2985
16. Xiang Li, Lili Mou, Rui Yan, Ming Zhang. StalemateBreaker: A Proactive Content-Introducing Approach to Automatic Human-Computer Conversation. IJCAI 2016: 2845-2851.
17. Jian Tang, Jingzhou Liu, Ming Zhang, Qiaozhu Mei: Visualizing Large-scale and High-dimensional Data. WWW 2016: 287-297. 最佳论文提名
18. Jian Tang, Meng Qu, Mingzhe Wang, Ming Zhang, Jun Yan, Qiaozhu Mei: LINE: Large-scale Information Network Embedding. WWW 2015: 1067-1077. WWW’2015 被引最多的论文（截止2023年2月，被引5100多次）
19. Chenguang Wang, Yangqiu Song, Ahmed El-Kishky, Dan Roth, Ming Zhang, Jiawei Han: Incorporating World Knowledge to Document Clustering via Heterogeneous Information Networks. KDD 2015: 1215-1224
20. 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
21. 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).
22. 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最佳论文奖
23. Tao Sun, Ming Zhang, and Qiaozhu Mei. Unexpected Relevance: An Empirical Study of Serendipity in Retweets. In The 7th International AAAI Conference on Weblogs and Social Media, 2013.
24. 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.
25. Haoyuan Li, Yi Wang, Dong Zhang, Ming Zhang and Edward Chang. PFP: Parallel FP-Growth for Query Recommendation. In ACM Recommender Systems 2008. Pages 107-114. PFP has been made part of Apache Mahout (http://mahout.apache.org/users/misc/parallel-frequent-pattern-mining.html).
26. 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
27. 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
28. Ming Zhang, Virginia Mary Lo: Undergraduate computer science education in China. SIGCSE 2010, pp. 396-400. A referred paper by the course "Images of Computing" delivered by Dr. Carol Frieze, http://www.cs.cmu.edu/~cfrieze/courses/
29. 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.
30. 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。
31. 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
32. 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
33. 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
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