| 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 | 116 | 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 | 116 | 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 | 112 | 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 | 98 | 2021 |
| 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 | 91 | 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 | 87 | 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 | 70 | 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 | 69 | 2021 |
| 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 | 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 | 49 | 2020 |
| 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 | 44 | 2021 |
| LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation X Cai, C Huang, L Xia, X Ren arXiv preprint arXiv:2302.08191, 2023 | 26 | 2023 |
| 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 | 25 | 2021 |
| 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 | 23 | 2022 |
| 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 | 23 | 2021 |
| Global context enhanced social recommendation with hierarchical graph neural networks H Xu, C Huang, Y Xu, L Xia, H Xing, D Yin 2020 IEEE international conference on data mining (ICDM), 701-710, 2020 | 21 | 2020 |
| 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 | 20 | 2022 |
| 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 | 16 | 2023 |
| 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 | 15 | 2023 |
| Multi-behavior sequential recommendation with temporal graph transformer L Xia, C Huang, Y Xu, J Pei IEEE Transactions on Knowledge and Data Engineering, 2022 | 14 | 2022 |
Chao HuangAssistant Professor of Computer Science, University of Hong KongVerified email at hku.hk
