| Bine: Bipartite network embedding M Gao, L Chen, X He, A Zhou The 41st international ACM SIGIR conference on research & development in …, 2018 | 248 | 2018 |
| Birank: Towards ranking on bipartite graphs X He, M Gao, MY Kan, D Wang IEEE Transactions on Knowledge and Data Engineering 29 (1), 57-71, 2016 | 205 | 2016 |
| A retrospective of knowledge graphs J Yan, C Wang, W Cheng, M Gao, A Zhou Frontiers of Computer Science 12, 55-74, 2018 | 193 | 2018 |
| Predicting the popularity of web 2.0 items based on user comments X He, M Gao, MY Kan, Y Liu, K Sugiyama Proceedings of the 37th international ACM SIGIR conference on Research …, 2014 | 124 | 2014 |
| Knowledge engineering with big data X Wu, H Chen, G Wu, J Liu, Q Zheng, X He, A Zhou, ZQ Zhao, B Wei, ... IEEE Intelligent Systems 30 (5), 46-55, 2015 | 98 | 2015 |
| Meta-learning adversarial domain adaptation network for few-shot text classification C Han, Z Fan, D Zhang, M Qiu, M Gao, A Zhou arXiv preprint arXiv:2107.12262, 2021 | 70 | 2021 |
| AgriKG: An agricultural knowledge graph and its applications Y Chen, J Kuang, D Cheng, J Zheng, M Gao, A Zhou Database Systems for Advanced Applications: DASFAA 2019 International …, 2019 | 69 | 2019 |
| Transprompt: Towards an automatic transferable prompting framework for few-shot text classification C Wang, J Wang, M Qiu, J Huang, M Gao Proceedings of the 2021 conference on empirical methods in natural language …, 2021 | 59 | 2021 |
| Boosting language models reasoning with chain-of-knowledge prompting J Wang, Q Sun, X Li, M Gao arXiv preprint arXiv:2306.06427, 2023 | 51 | 2023 |
| Tracking high quality clusters over uncertain data streams C Zhang, M Gao, A Zhou 2009 IEEE 25th International Conference on Data Engineering, 1641-1648, 2009 | 50 | 2009 |
| Challenges in chinese knowledge graph construction C Wang, M Gao, X He, R Zhang 2015 31st IEEE International Conference on Data Engineering Workshops, 59-61, 2015 | 44 | 2015 |
| Gradma: A gradient-memory-based accelerated federated learning with alleviated catastrophic forgetting K Luo, X Li, Y Lan, M Gao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 40 | 2023 |
| Spanproto: A two-stage span-based prototypical network for few-shot named entity recognition J Wang, C Han, C Wang, C Tan, M Qiu, S Huang, J Huang, M Gao arXiv preprint arXiv:2210.09049, 2022 | 35 | 2022 |
| Seegera: Self-supervised semi-implicit graph variational auto-encoders with masking X Li, T Ye, C Shan, D Li, M Gao Proceedings of the ACM web conference 2023, 143-153, 2023 | 33 | 2023 |
| Towards unified prompt tuning for few-shot text classification J Wang, C Wang, F Luo, C Tan, M Qiu, F Yang, Q Shi, S Huang, M Gao arXiv preprint arXiv:2205.05313, 2022 | 33 | 2022 |
| Learning relation prototype from unlabeled texts for long-tail relation extraction Y Cao, J Kuang, M Gao, A Zhou, Y Wen, TS Chua IEEE Transactions on Knowledge and Data Engineering 35 (2), 1761-1774, 2021 | 33 | 2021 |
| Learning vertex representations for bipartite networks M Gao, X He, L Chen, T Liu, J Zhang, A Zhou IEEE transactions on knowledge and data engineering 34 (1), 379-393, 2020 | 32 | 2020 |
| Entity matching across multiple heterogeneous data sources C Kong, M Gao, C Xu, W Qian, A Zhou Database Systems for Advanced Applications: 21st International Conference …, 2016 | 30 | 2016 |
| A survey on management of data provenance M Gao, CQ Jin, XL Wang, XX Tian, AY Zhou Chinese Journal of Computers 33 (3), 373-389, 2010 | 30 | 2010 |
| Improving neural relation extraction with implicit mutual relations J Kuang, Y Cao, J Zheng, X He, M Gao, A Zhou 2020 IEEE 36th International Conference on Data Engineering (ICDE), 1021-1032, 2020 | 29 | 2020 |
