| Data augmentation for graph neural networks T Zhao, Y Liu, L Neves, O Woodford, M Jiang, N Shah Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 11015 …, 2021 | 436 | 2021 |
| Automated phrase mining from massive text corpora J Shang, J Liu, M Jiang, X Ren, CR Voss, J Han IEEE Transactions on Knowledge and Data Engineering 30 (10), 1825-1837, 2018 | 400 | 2018 |
| Social contextual recommendation M Jiang, P Cui, R Liu, Q Yang, F Wang, W Zhu, S Yang Proceedings of the 21st ACM international conference on Information and …, 2012 | 387 | 2012 |
| Mining topic-level influence in heterogeneous networks L Liu, J Tang, J Han, M Jiang, S Yang Proceedings of the 19th ACM international conference on Information and …, 2010 | 355 | 2010 |
| A survey of knowledge-enhanced text generation W Yu, C Zhu, Z Li, Z Hu, Q Wang, H Ji, M Jiang ACM Computing Surveys, 2022 | 290 | 2022 |
| Generate rather than retrieve: Large language models are strong context generators W Yu, D Iter, S Wang, Y Xu, M Ju, S Sanyal, C Zhu, M Zeng, M Jiang arXiv preprint arXiv:2209.10063, 2022 | 251 | 2022 |
| Few-shot knowledge graph completion C Zhang, H Yao, C Huang, M Jiang, Z Li, NV Chawla Proceedings of the AAAI conference on artificial intelligence 34 (03), 3041-3048, 2020 | 226 | 2020 |
| Catchsync: catching synchronized behavior in large directed graphs M Jiang, P Cui, A Beutel, C Faloutsos, S Yang Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 220 | 2014 |
| Scalable recommendation with social contextual information M Jiang, P Cui, F Wang, W Zhu, S Yang IEEE Transactions on Knowledge and Data Engineering 26 (11), 2789-2802, 2014 | 219 | 2014 |
| Trustllm: Trustworthiness in large language models L Sun, Y Huang, H Wang, S Wu, Q Zhang, C Gao, Y Huang, W Lyu, ... arXiv preprint arXiv:2401.05561, 2024 | 212 | 2024 |
| Enhancing factual consistency of abstractive summarization C Zhu, W Hinthorn, R Xu, Q Zeng, M Zeng, X Huang, M Jiang Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 208* | 2021 |
| Artificial intelligence based smart energy community management: A reinforcement learning approach S Zhou, Z Hu, W Gu, M Jiang, XP Zhang CSEE Journal of Power and Energy Systems 5 (1), 1-10, 2019 | 204 | 2019 |
| Graph few-shot learning via knowledge transfer H Yao, C Zhang, Y Wei, M Jiang, S Wang, J Huang, N Chawla, Z Li Proceedings of the AAAI conference on artificial intelligence 34 (04), 6656-6663, 2020 | 187 | 2020 |
| Few-shot graph learning for molecular property prediction Z Guo, C Zhang, W Yu, J Herr, O Wiest, M Jiang, NV Chawla Proceedings of the web conference 2021, 2559-2567, 2021 | 166 | 2021 |
| Suspicious behavior detection: Current trends and future directions M Jiang, P Cui, F Christos IEEE Intelligent Systems 31 (1), 31-39, 2016 | 164 | 2016 |
| Social recommendation with cross-domain transferable knowledge M Jiang, P Cui, X Chen, F Wang, W Zhu, S Yang IEEE transactions on knowledge and data engineering 27 (11), 3084-3097, 2015 | 142 | 2015 |
| Taxogen: Unsupervised topic taxonomy construction by adaptive term embedding and clustering C Zhang, F Tao, X Chen, J Shen, M Jiang, B Sadler, M Vanni, J Han Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 141* | 2018 |
| Combined heat and power system intelligent economic dispatch: A deep reinforcement learning approach S Zhou, Z Hu, W Gu, M Jiang, M Chen, Q Hong, C Booth International journal of electrical power & energy systems 120, 106016, 2020 | 136 | 2020 |
| A survey on data-driven network intrusion detection D Chou, M Jiang ACM Computing Surveys (CSUR) 54 (9), 1-36, 2021 | 132* | 2021 |
| Inferring strange behavior from connectivity pattern in social networks M Jiang, P Cui, A Beutel, C Faloutsos, S Yang Advances in Knowledge Discovery and Data Mining: 18th Pacific-Asia …, 2014 | 121 | 2014 |
Wenhao YuResearcher, Tencent AI Seattle LabDirección de correo verificada de global.tencent.com