| Disentangling user interest and conformity for recommendation with causal embedding Y Zheng, C Gao, X Li, X He, Y Li, D Jin Proceedings of the Web Conference 2021, 2980-2991, 2021 | 260 | 2021 |
| Sequential recommendation with graph neural networks J Chang, C Gao, Y Zheng, Y Hui, Y Niu, Y Song, D Jin, Y Li Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 236 | 2021 |
| A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions C Gao*, Y Zheng*, N Li, Y Li, Y Qin, J Piao, Y Quan, J Chang, D Jin, X He, ... ACM Transactions on Recommender Systems, 2023 | 224* | 2023 |
| DGCN: Diversified recommendation with graph convolutional networks Y Zheng, C Gao, L Chen, D Jin, Y Li Proceedings of the Web Conference 2021, 401-412, 2021 | 88 | 2021 |
| Price-aware recommendation with graph convolutional networks Y Zheng, C Gao, X He, Y Li, D Jin 2020 IEEE 36th International Conference on Data Engineering (ICDE), 133-144, 2020 | 75 | 2020 |
| Disentangling long and short-term interests for recommendation Y Zheng, C Gao, J Chang, Y Niu, Y Song, D Jin, Y Li Proceedings of the ACM Web Conference 2022, 2256-2267, 2022 | 65 | 2022 |
| Causal inference in recommender systems: A survey and future directions C Gao, Y Zheng, W Wang, F Feng, X He, Y Li ACM Transactions on Information Systems, 2024 | 49 | 2024 |
| Dual contrastive network for sequential recommendation G Lin, C Gao, Y Li, Y Zheng, Z Li, D Jin, Y Li Proceedings of the 45th international ACM SIGIR conference on research and …, 2022 | 19 | 2022 |
| Spatial planning of urban communities via deep reinforcement learning Y Zheng, Y Lin, L Zhao, T Wu, D Jin, Y Li Nature Computational Science 3 (9), 748-762, 2023 | 16 | 2023 |
| Dvr: micro-video recommendation optimizing watch-time-gain under duration bias Y Zheng, C Gao, J Ding, L Yi, D Jin, Y Li, M Wang Proceedings of the 30th ACM International Conference on Multimedia, 334-345, 2022 | 12 | 2022 |
| Incorporating price into recommendation with graph convolutional networks Y Zheng, C Gao, X He, D Jin, Y Li IEEE Transactions on Knowledge and Data Engineering, 2023 | 6 | 2023 |
| Bringing Friends into the Loop of Recommender Systems: An Exploratory Study J Piao, G Zhang, F Xu, Z Chen, Y Zheng, C Gao, Y Li Proceedings of the ACM on Human-Computer Interaction 5 (CSCW2), 1-26, 2021 | 6 | 2021 |
| Road planning for slums via deep reinforcement learning Y Zheng*, H Su*, J Ding, D Jin, Y Li Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 5 | 2023 |
| Dual-interest Factorization-heads Attention for Sequential Recommendation G Lin, C Gao, Y Zheng, J Chang, Y Niu, Y Song, Z Li, D Jin, Y Li Proceedings of the ACM Web Conference 2023, 917–927, 2023 | 3 | 2023 |
| Mixed attention network for cross-domain sequential recommendation G Lin, C Gao, Y Zheng, J Chang, Y Niu, Y Song, K Gai, Z Li, D Jin, Y Li, ... Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | 2 | 2024 |
| Mutual Harmony: Sequential Recommendation with Dual Contrastive Network G Lin, C Gao, Y Li, Y Zheng, Z Li, D Jin, D Li, J Hao, Y Li arXiv preprint arXiv:2209.08446, 2022 | 2* | 2022 |
| Artificial Intelligence for Complex Network: Potential, Methodology and Application J Ding*, C Liu*, Y Zheng*, Y Zhang*, Z Yu, R Li, H Chen, J Piao, H Wang, ... arXiv preprint arXiv:2402.16887, 2024 | 1 | 2024 |
| MetroGNN: Metro Network Expansion with Reinforcement Learning H Su, Y Zheng, J Ding, D Jin, Y Li WWW 2024, 2024 | | 2024 |
| Rumor Mitigation in Social Media Platforms with Deep Reinforcement Learning H Su, Y Zheng, J Ding, D Jin, Y Li WWW 2024, 2024 | | 2024 |
| Inverse Learning with Extremely Sparse Feedback for Recommendation G Lin, C Gao, Y Zheng, Y Li, J Chang, Y Niu, Y Song, K Gai, Z Li, D Jin, ... Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | | 2024 |
