| Causerec: Counterfactual user sequence synthesis for sequential recommendation S Zhang, D Yao, Z Zhao, TS Chua, F Wu Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 152 | 2021 |
| Re4: Learning to re-contrast, re-attend, re-construct for multi-interest recommendation S Zhang, L Yang, D Yao, Y Lu, F Feng, Z Zhao, TS Chua, F Wu Proceedings of the ACM Web Conference 2022, 2216-2226, 2022 | 51 | 2022 |
| Contrastive learning with positive-negative frame mask for music representation D Yao, Z Zhao, S Zhang, J Zhu, Y Zhu, R Zhang, X He Proceedings of the ACM Web Conference 2022, 2906-2915, 2022 | 30 | 2022 |
| Modeling High-order Interactions across Multi-interests for Micro-video Reommendation (Student Abstract) D Yao, S Zhang, Z Zhao, W Fan, J Zhu, X He, F Wu Proceedings of the AAAI Conference on Artificial Intelligence 35 (18), 15945 …, 2021 | 8 | 2021 |
| CCL4Rec: Contrast over Contrastive Learning for Micro-video Recommendation S Zhang, B Li, D Yao, F Feng, J Zhu, W Fan, Z Zhao, X He, T Chua, F Wu arXiv preprint arXiv:2208.08024, 2022 | 3 | 2022 |
| MART: Learning Hierarchical Music Audio Representations with Part-Whole Transformer D Yao, J Zhu, J Xun, S Zhang, Z Zhao, L Deng, W Zhang, Z Dong, X Jiang Companion Proceedings of the ACM on Web Conference 2024, 967-970, 2024 | 2 | 2024 |
| Combining Incomplete Observational and Randomized Data for Heterogeneous Treatment Effects D Yao, C Tang, Q Cui, L Li Proceedings of the 33rd ACM International Conference on Information and …, 2024 | | 2024 |
| Denoising Multi-modal Sequential Recommenders with Contrastive Learning D Yao, S Zhang, Z Zhao, J Zhu, W Zhang, R Zhang, X He, F Wu arXiv preprint arXiv:2305.01915, 2023 | | 2023 |
