| Metapath-guided heterogeneous graph neural network for intent recommendation S Fan, J Zhu, X Han, C Shi, L Hu, B Ma, Y Li Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 151 | 2019 |
| Heterogeneous graph attention networks for semi-supervised short text classification H Linmei, T Yang, C Shi, H Ji, X Li Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 149 | 2019 |
| Graph neural news recommendation with long-term and short-term interest modeling L Hu, C Li, C Shi, C Yang, C Shao Information Processing & Management 57 (2), 102142, 2020 | 83 | 2020 |
| Relation structure-aware heterogeneous information network embedding Y Lu, C Shi, L Hu, Z Liu Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4456-4463, 2019 | 72 | 2019 |
| Graph neural news recommendation with unsupervised preference disentanglement L Hu, S Xu, C Li, C Yang, C Shi, N Duan, X Xie, M Zhou Proceedings of the 58th annual meeting of the association for computational …, 2020 | 55 | 2020 |
| Rimom-im: A novel iterative framework for instance matching C Shao, LM Hu, JZ Li, ZC Wang, T Chung, JB Xia Journal of computer science and technology 31 (1), 185-197, 2016 | 51 | 2016 |
| What happens next? future subevent prediction using contextual hierarchical lstm L Hu, J Li, L Nie, XL Li, C Shao Thirty-First AAAI Conference on Artificial Intelligence, 2017 | 49 | 2017 |
| Virtually trying on new clothing with arbitrary poses N Zheng, X Song, Z Chen, L Hu, D Cao, L Nie Proceedings of the 27th ACM international conference on multimedia, 266-274, 2019 | 39 | 2019 |
| Adaptive online event detection in news streams L Hu, B Zhang, L Hou, J Li Knowledge-Based Systems 138, 105-112, 2017 | 35 | 2017 |
| Improving distantly-supervised relation extraction with joint label embedding L Hu, L Zhang, C Shi, L Nie, W Guan, C Yang Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 31 | 2019 |
| RiMOM2013 results for OAEI 2013. Q Zheng, C Shao, J Li, Z Wang, L Hu OM 13, 161-168, 2013 | 17 | 2013 |
| Compare to the knowledge: Graph neural fake news detection with external knowledge L Hu, T Yang, L Zhang, W Zhong, D Tang, C Shi, N Duan, M Zhou Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 15 | 2021 |
| HGAT: Heterogeneous graph attention networks for semi-supervised short text classification T Yang, L Hu, C Shi, H Ji, X Li, L Nie ACM Transactions on Information Systems (TOIS) 39 (3), 1-29, 2021 | 15 | 2021 |
| Enhancing joint entity and relation extraction with language modeling and hierarchical attention R Chi, B Wu, L Hu, Y Zhang Asia-Pacific Web (APWEB) and web-age information management (WAIM) joint …, 2019 | 15 | 2019 |
| Rhine: relation structure-aware heterogeneous information network embedding C Shi, Y Lu, L Hu, Z Liu, H Ma IEEE Transactions on Knowledge and Data Engineering 34 (1), 433-447, 2020 | 12 | 2020 |
| Incorporating entities in news topic modeling L Hu, J Li, Z Li, C Shao, Z Li CCF International Conference on Natural Language Processing and Chinese …, 2013 | 11 | 2013 |
| Graph neural entity disambiguation L Hu, J Ding, C Shi, C Shao, S Li Knowledge-Based Systems 195, 105620, 2020 | 10 | 2020 |
| RiMOM-IM results for OAEI 2014. C Shao, L Hu, J Li OM, 149-154, 2014 | 10 | 2014 |
| Adversarial Label-Flipping Attack and Defense for Graph Neural Networks M Zhang, L Hu, C Shi, X Wang ICDM 2020, 0 | 9* | |
| Entity set expansion in knowledge graph: a heterogeneous information network perspective C Shi, J Ding, X Cao, L Hu, B Wu, X Li Frontiers of Computer Science 15 (1), 1-12, 2021 | 8 | 2021 |
Juanzi LiTsinghua UniversityVerified email at tsinghua.edu.cn
