| 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 | 2617 | 2008 |
| RiMOM: A dynamic multistrategy ontology alignment framework J Li, J Tang, Y Li, Q Luo IEEE Transactions on Knowledge and Data Engineering 21 (8), 1218-1232, 2009 | 597 | 2009 |
| KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation X Wang, T Gao, Z Zhu, Z Zhang, Z Liu, J Li, J Tang Transactions of the Association for Computational Linguistics 9, 176-194, 2021 | 570 | 2021 |
| Openke: An open toolkit for knowledge embedding X Han, S Cao, X Lv, Y Lin, Z Liu, M Sun, J Li Proceedings of the 2018 conference on empirical methods in natural language …, 2018 | 383 | 2018 |
| Understanding retweeting behaviors in social networks Z Yang, J Guo, K Cai, J Tang, J Li, L Zhang, Z Su Proceedings of the 19th ACM international conference on Information and …, 2010 | 377 | 2010 |
| Expert finding in a social network J Zhang, J Tang, J Li International Conference on Database Systems for Advanced Applications, 1066 …, 2007 | 330 | 2007 |
| 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 | 322 | 2013 |
| Keyword extraction using support vector machine K Zhang, H Xu, J Tang, J Li International Conference on Web-Age Information Management, 85-96, 2006 | 297 | 2006 |
| Using Bayesian decision for ontology mapping J Tang, J Li, B Liang, X Huang, Y Li, K Wang Journal of web semantics 4 (4), 243-262, 2006 | 289 | 2006 |
| Knowledgeable prompt-tuning: Incorporating knowledge into prompt verbalizer for text classification S Hu, N Ding, H Wang, Z Liu, J Wang, J Li, W Wu, M Sun arXiv preprint arXiv:2108.02035, 2021 | 282 | 2021 |
| Multi-channel graph neural network for entity alignment Y Cao, Z Liu, C Li, J Li, TS Chua arXiv preprint arXiv:1908.09898, 2019 | 279 | 2019 |
| Knowledge discovery through directed probabilistic topic models: a survey A Daud, J Li, L Zhou, F Muhammad Frontiers of computer science in China 4 (2), 280-301, 2010 | 258 | 2010 |
| Text-enhanced representation learning for knowledge graph Z Wang, J Li, Z Liu, J Tang Proceedings of International Joint Conference on Artificial Intelligent …, 2016 | 257 | 2016 |
| Typicality-based collaborative filtering recommendation Y Cai, H Leung, Q Li, H Min, J Tang, J Li IEEE Transactions on Knowledge and Data Engineering 26 (3), 766-779, 2014 | 247 | 2014 |
| Explainable and Explicit Visual Reasoning over Scene Graphs J Shi, H Zhang, J Li CVPR 2019, 2019 | 233 | 2019 |
| Mining user generated content MF Moens, J Li, TS Chua Chapman and Hall/CRC, 2014 | 231 | 2014 |
| Parameter-efficient fine-tuning of large-scale pre-trained language models N Ding, Y Qin, G Yang, F Wei, Z Yang, Y Su, S Hu, Y Chen, CM Chan, ... Nature Machine Intelligence 5 (3), 220-235, 2023 | 206 | 2023 |
| 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), 25, 2015 | 188 | 2015 |
| New event detection based on indexing-tree and named entity K Zhang, J Zi, LG Wu Proceedings of the 30th annual international ACM SIGIR conference on …, 2007 | 186 | 2007 |
| Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model C Li, Y Cao, L Hou, J Shi, J Li, TS Chua Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 154 | 2019 |
Tang JieProfessor, Tsinghua UniversityDirección de correo verificada de tsinghua.edu.cn
