| Arnetminer: extraction and mining of academic social networks J Tang, J Zhang, L Yao, J Li, L Zhang, Z Su Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008 | 2755 | 2008 |
| Self-supervised learning: Generative or contrastive X Liu, F Zhang, Z Hou, L Mian, Z Wang, J Zhang, J Tang IEEE transactions on knowledge and data engineering 35 (1), 857-876, 2021 | 1810 | 2021 |
| Gcc: Graph contrastive coding for graph neural network pre-training J Qiu, Q Chen, Y Dong, J Zhang, H Yang, M Ding, K Wang, J Tang Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 939 | 2020 |
| Social influence locality for modeling retweeting behaviors J Zhang, B Liu, J Tang, T Chen, J Li Twenty-third international joint conference on artificial intelligence, 2013 | 334 | 2013 |
| Expert finding in a social network J Zhang, J Tang, J Li Advances in Databases: Concepts, Systems and Applications: 12th …, 2007 | 333 | 2007 |
| A unified probabilistic framework for name disambiguation in digital library J Tang, ACM Fong, B Wang, J Zhang IEEE Transactions on Knowledge and Data Engineering 24 (6), 975-987, 2011 | 309 | 2011 |
| A combination approach to web user profiling J Tang, L Yao, D Zhang, J Zhang ACM Transactions on Knowledge Discovery from Data (TKDD) 5 (1), 1-44, 2010 | 220 | 2010 |
| A topic modeling approach and its integration into the random walk framework for academic search J Tang, R Jin, J Zhang 2008 eighth IEEE international conference on data mining, 1055-1060, 2008 | 206 | 2008 |
| Hierarchical reinforcement learning for course recommendation in MOOCs J Zhang, B Hao, B Chen, C Li, H Chen, J Sun Proceedings of the AAAI conference on artificial intelligence 33 (01), 435-442, 2019 | 205 | 2019 |
| Who influenced you? predicting retweet via social influence locality J Zhang, J Tang, J Li, Y Liu, C Xing ACM Transactions on Knowledge Discovery from Data (TKDD) 9 (3), 1-26, 2015 | 193 | 2015 |
| A discriminative approach to topic-based citation recommendation J Tang, J Zhang Pacific-Asia Conference on Knowledge Discovery and Data Mining, 572-579, 2009 | 126 | 2009 |
| BERT-INT: A BERT-based Interaction Model For Knowledge Graph Alignment X Tang, J Zhang, B Chen, Y Yang, H Chen, C Li IJCAI, 2020 | 123 | 2020 |
| Topic level expertise search over heterogeneous networks J Tang, J Zhang, R Jin, Z Yang, K Cai, L Zhang, Z Su Machine Learning 82, 211-237, 2011 | 120 | 2011 |
| Resdsql: Decoupling schema linking and skeleton parsing for text-to-sql H Li, J Zhang, C Li, H Chen Proceedings of the AAAI Conference on Artificial Intelligence 37 (11), 13067 …, 2023 | 114* | 2023 |
| Pre-training graph neural networks for cold-start users and items representation B Hao, J Zhang, H Yin, C Li, H Chen Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021 | 114 | 2021 |
| Neural, symbolic and neural-symbolic reasoning on knowledge graphs J Zhang, B Chen, L Zhang, X Ke, H Ding AI Open 2, 14-35, 2021 | 114 | 2021 |
| Coupledlp: Link prediction in coupled networks Y Dong, J Zhang, J Tang, NV Chawla, B Wang Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 104 | 2015 |
| Decoupling representation learning and classification for gnn-based anomaly detection Y Wang, J Zhang, S Guo, H Yin, C Li, H Chen Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 96 | 2021 |
| MEgo2Vec: Embedding matched ego networks for user alignment across social networks J Zhang, B Chen, X Wang, H Chen, C Li, F Jin, G Song, Y Zhang Proceedings of the 27th ACM International Conference on Information and …, 2018 | 84 | 2018 |
| Aminer: Search and mining of academic social networks H Wan, Y Zhang, J Zhang, J Tang Data Intelligence 1 (1), 58-76, 2019 | 80 | 2019 |
Tang JieWeBank Chair Professor, Tsinghua UniversityVerified email at tsinghua.edu.cn
