| Hypergraph contrastive collaborative filtering L Xia, C Huang, Y Xu, J Zhao, D Yin, J Huang Proceedings of the 45th International ACM SIGIR conference on research and …, 2022 | 228 | 2022 |
| Knowledge graph contrastive learning for recommendation Y Yang, C Huang, L Xia, C Li Proceedings of the 45th international ACM SIGIR conference on research and …, 2022 | 218 | 2022 |
| Knowledge-enhanced hierarchical graph transformer network for multi-behavior recommendation L Xia, C Huang, Y Xu, P Dai, X Zhang, H Yang, J Pei, L Bo Proceedings of the AAAI conference on artificial intelligence 35 (5), 4486-4493, 2021 | 172 | 2021 |
| Traffic flow forecasting with spatial-temporal graph diffusion network X Zhang, C Huang, Y Xu, L Xia, P Dai, L Bo, J Zhang, Y Zheng Proceedings of the AAAI conference on artificial intelligence 35 (17), 15008 …, 2021 | 168 | 2021 |
| Knowledge-aware coupled graph neural network for social recommendation C Huang, H Xu, Y Xu, P Dai, L Xia, M Lu, L Bo, H Xing, X Lai, Y Ye Proceedings of the AAAI conference on artificial intelligence 35 (5), 4115-4122, 2021 | 159 | 2021 |
| Graph meta network for multi-behavior recommendation L Xia, Y Xu, C Huang, P Dai, L Bo Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 149 | 2021 |
| LightGCL: Simple yet effective graph contrastive learning for recommendation X Cai, C Huang, L Xia, X Ren arXiv preprint arXiv:2302.08191, 2023 | 138 | 2023 |
| Contrastive meta learning with behavior multiplicity for recommendation W Wei, C Huang, L Xia, Y Xu, J Zhao, D Yin Proceedings of the fifteenth ACM international conference on web search and …, 2022 | 123 | 2022 |
| Multiplex behavioral relation learning for recommendation via memory augmented transformer network L Xia, C Huang, Y Xu, P Dai, B Zhang, L Bo Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020 | 94 | 2020 |
| Graph-enhanced multi-task learning of multi-level transition dynamics for session-based recommendation C Huang, J Chen, L Xia, Y Xu, P Dai, Y Chen, L Bo, J Zhao, JX Huang Proceedings of the AAAI conference on artificial intelligence 35 (5), 4123-4130, 2021 | 93 | 2021 |
| Heterogeneous graph contrastive learning for recommendation M Chen, C Huang, L Xia, W Wei, Y Xu, R Luo Proceedings of the sixteenth ACM international conference on web search and …, 2023 | 80 | 2023 |
| Social recommendation with self-supervised metagraph informax network X Long, C Huang, Y Xu, H Xu, P Dai, L Xia, L Bo Proceedings of the 30th ACM international conference on information …, 2021 | 71 | 2021 |
| Multi-behavior hypergraph-enhanced transformer for sequential recommendation Y Yang, C Huang, L Xia, Y Liang, Y Yu, C Li Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 68 | 2022 |
| Self-supervised hypergraph transformer for recommender systems L Xia, C Huang, C Zhang Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 67 | 2022 |
| Spatial-temporal convolutional graph attention networks for citywide traffic flow forecasting X Zhang, C Huang, Y Xu, L Xia Proceedings of the 29th ACM international conference on information …, 2020 | 67 | 2020 |
| Multi-modal self-supervised learning for recommendation W Wei, C Huang, L Xia, C Zhang Proceedings of the ACM Web Conference 2023, 790-800, 2023 | 63 | 2023 |
| Debiased contrastive learning for sequential recommendation Y Yang, C Huang, L Xia, C Huang, D Luo, K Lin Proceedings of the ACM web conference 2023, 1063-1073, 2023 | 54 | 2023 |
| Spatial-temporal sequential hypergraph network for crime prediction with dynamic multiplex relation learning L Xia, C Huang, Y Xu, P Dai, L Bo, X Zhang, T Chen Proceedings of the Thirtieth International Joint Conference on Artificial …, 2021 | 50 | 2021 |
| Spatial-temporal hypergraph self-supervised learning for crime prediction Z Li, C Huang, L Xia, Y Xu, J Pei 2022 IEEE 38th international conference on data engineering (ICDE), 2984-2996, 2022 | 47 | 2022 |
| Multi-behavior enhanced recommendation with cross-interaction collaborative relation modeling L Xia, C Huang, Y Xu, P Dai, M Lu, L Bo 2021 IEEE 37th international conference on data engineering (ICDE), 1931-1936, 2021 | 45 | 2021 |
Chao HuangAssistant Professor of Computer Science, University of Hong Kong在 hku.hk 的电子邮件经过验证
