| Line: Large-scale information network embedding J Tang, M Qu, M Wang, M Zhang, J Yan, Q Mei Proceedings of the 24th international conference on world wide web, 1067-1077, 2015 | 3728 | 2015 |
| Ontology 研究综述 邓志鸿， 唐世渭， 张铭， 杨冬青， 陈捷 北京大学学报: 自然科学版 38 (005), 730-738, 2002 | 1206* | 2002 |
| Pfp: parallel fp-growth for query recommendation H Li, Y Wang, D Zhang, M Zhang, EY Chang Proceedings of the 2008 ACM conference on Recommender systems, 107-114, 2008 | 628 | 2008 |
| Topic sentiment analysis in twitter: a graph-based hashtag sentiment classification approach X Wang, F Wei, X Liu, M Zhou, M Zhang Proceedings of the 20th ACM international conference on Information and …, 2011 | 520 | 2011 |
| Visualizing large-scale and high-dimensional data J Tang, J Liu, M Zhang, Q Mei Proceedings of the 25th International Conference on World Wide Web (best …, 2016 | 313 | 2016 |
| We know what@ you# tag: does the dual role affect hashtag adoption? L Yang, T Sun, M Zhang, Q Mei Proceedings of the 21st international conference on World Wide Web, 261-270, 2012 | 276 | 2012 |
| Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis (ICML 2014 Best Paper) J Tang, Z Meng, X Nguyen, Q Mei, M Zhang Proceedings of The 31st International Conference on Machine Learning, 190-198, 2014 | 255 | 2014 |
| 语义网简明教程 宋炜， 张铭 高等教育出版社, 2004 | 226 | 2004 |
| Combating fake news: A survey on identification and mitigation techniques K Sharma, F Qian, H Jiang, N Ruchansky, M Zhang, Y Liu ACM Transactions on Intelligent Systems and Technology (TIST) 10 (3), 1-42, 2019 | 203 | 2019 |
| AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks W Song, C Shi, Z Xiao, Z Duan, Y Xu, M Zhang, J Tang CIKM 2019 (ACM International Conference on Information and Knowledge …, 2019 | 167 | 2019 |
| 关于计算机人才需求的调研报告 李晓明， 陈平， 张铭， 朱敏悦 计算机教育, 2004, 2004 | 151 | 2004 |
| Session-based social recommendation via dynamic graph attention networks W Song, Z Xiao, Y Wang, L Charlin, M Zhang, J Tang WSDM 2019 (ACM International Conference on Web Search and Data Mining), 555-563, 2019 | 150 | 2019 |
| An Ensemble of Retrieval-Based and Generation-Based Human-Computer Conversation Systems. Y Song, R Yan, CT Li, JY Nie, M Zhang, D Zhao IJCAI 2018, Proceedings of International Joint Conference on Artificial …, 2018 | 147* | 2018 |
| Unsupervised word and dependency path embeddings for aspect term extraction Y Yin, F Wei, L Dong, K Xu, M Zhang, M Zhou IJCAI 2016 : 2979-2985 (the Twenty-Fifth International Joint Conference on …, 2016 | 137 | 2016 |
| An Attention-based Collaboration Framework for Multi-View Network Representation Learning M Qu, J Tang, J Shang, X Ren, M Zhang, J Han CIKM 2017, 1767-1776, 2017 | 109 | 2017 |
| A comparative study on feature weight in text categorization ZH Deng, SW Tang, DQ Yang, M Zhang, LY Li, KQ Xie Asia-Pacific Web Conference, 588-597, 2004 | 100 | 2004 |
| Towards automated ICD coding using deep learning H Shi, P Xie, Z Hu, M Zhang, EP Xing arXiv preprint arXiv:1711.04075, 2017 | 99 | 2017 |
| A novel approach for multi-agent-based intelligent manufacturing system Q Guo, M Zhang Information Sciences 179 (18), 3079-3090, 2009 | 94 | 2009 |
| Text classification with heterogeneous information network kernels C Wang, Y Song, H Li, M Zhang, J Han Thirtieth AAAI Conference on Artificial Intelligence, 2016 | 87 | 2016 |
| GraphAF: a flow-based autoregressive model for molecular graph generation C Shi, M Xu, Z Zhu, W Zhang, M Zhang, J Tang ICLR 2020 (8th International Conference on Learning Representations), arXiv …, 2020 | 74 | 2020 |
Jian Tang (唐建）Assistant Professor, Mila-Quebec AI Institute, HEC Montréal, Canada CIFAR AI ChairVerified email at hec.ca
