| Stabilizing reinforcement learning in dynamic environment with application to online recommendation SY Chen, Y Yu, Q Da, J Tan, HK Huang, HH Tang Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 156 | 2018 |
| Hearing lips: Improving lip reading by distilling speech recognizers Y Zhao, R Xu, X Wang, P Hou, H Tang, M Song Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6917-6924, 2020 | 81 | 2020 |
| Pre-training graph transformer with multimodal side information for recommendation Y Liu, S Yang, C Lei, G Wang, H Tang, J Zhang, A Sun, C Miao Proceedings of the 29th ACM International Conference on Multimedia, 2853-2861, 2021 | 59 | 2021 |
| Diversified interactive recommendation with implicit feedback Y Liu, Y Xiao, Q Wu, C Miao, J Zhang, B Zhao, H Tang Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4932-4939, 2020 | 56 | 2020 |
| Semi: A sequential multi-modal information transfer network for e-commerce micro-video recommendations C Lei, Y Liu, L Zhang, G Wang, H Tang, H Li, C Miao Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 46 | 2021 |
| Understanding chinese video and language via contrastive multimodal pre-training C Lei, S Luo, Y Liu, W He, J Wang, G Wang, H Tang, C Miao, H Li Proceedings of the 29th ACM International Conference on Multimedia, 2567-2576, 2021 | 38 | 2021 |
| Learning personalized itemset mapping for cross-domain recommendation Y Zhang, Y Liu, P Han, C Miao, L Cui, B Li, H Tang | 38 | 2020 |
| Recent advances in diversified recommendation Q Wu, Y Liu, C Miao, Y Zhao, L Guan, H Tang arXiv preprint arXiv:1905.06589, 2019 | 29 | 2019 |
| Weakly supervised co-training of query rewriting andsemantic matching for e-commerce R Xiao, J Ji, B Cui, H Tang, W Ou, Y Xiao, J Tan, X Ju Proceedings of the twelfth ACM international conference on web search and …, 2019 | 26 | 2019 |
| A hybrid bandit framework for diversified recommendation Q Ding, Y Liu, C Miao, F Cheng, H Tang Proceedings of the AAAI conference on artificial intelligence 35 (5), 4036-4044, 2021 | 24 | 2021 |
| Aggregating e-commerce search results from heterogeneous sources via hierarchical reinforcement learning R Takanobu, T Zhuang, M Huang, J Feng, H Tang, B Zheng The World Wide Web Conference, 1771-1781, 2019 | 20 | 2019 |
| Path-based deep network for candidate item matching in recommenders H Li, Z Chen, C Li, R Xiao, H Deng, P Zhang, Y Liu, H Tang Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 19 | 2021 |
| Collaboration by competition: Self-coordinated knowledge amalgamation for multi-talent student learning S Luo, W Pan, X Wang, D Wang, H Tang, M Song Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 19 | 2020 |
| User-aware multi-interest learning for candidate matching in recommenders Z Chai, Z Chen, C Li, R Xiao, H Li, J Wu, J Chen, H Tang Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 17 | 2022 |
| Diffusion-based graph contrastive learning for recommendation with implicit feedback L Zhang, Y Liu, X Zhou, C Miao, G Wang, H Tang International Conference on Database Systems for Advanced Applications, 232-247, 2022 | 17 | 2022 |
| E-commerce storytelling recommendation using attentional domain-transfer network and adversarial pre-training X Chen, C Lei, D Liu, G Wang, H Tang, ZJ Zha, H Li IEEE Transactions on Multimedia 24, 506-518, 2021 | 14 | 2021 |
| Shape controllable virtual try-on for underwear models X Gao, Z Liu, Z Feng, C Shen, K Ou, H Tang, M Song Proceedings of the 29th ACM International Conference on Multimedia, 563-572, 2021 | 11 | 2021 |
| Multi-question learning for visual question answering C Lei, L Wu, D Liu, Z Li, G Wang, H Tang, H Li Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 11328 …, 2020 | 10 | 2020 |
| SGPT: Semantic graphs based pre-training for aspect-based sentiment analysis Q Yong, C Chen, Z Wang, R Xiao, H Tang World Wide Web 26 (4), 2201-2214, 2023 | 6 | 2023 |
| A pre-training strategy for recommendation S Yang, Y Liu, C Lei, G Wang, H Tang, J Zhang, C Miao arXiv e-prints, arXiv: 2010.12284, 2020 | 3 | 2020 |
