| Diffusion augmentation for sequential recommendation Q Liu, F Yan, X Zhao, Z Du, H Guo, R Tang, F Tian Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 22 | 2023 |
| Single-shot feature selection for multi-task recommendations Y Wang, Z Du, X Zhao, B Chen, H Guo, R Tang, Z Dong Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 10 | 2023 |
| Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey Q Liu, J Zhu, Y Yang, Q Dai, Z Du, XM Wu, Z Zhao, R Zhang, Z Dong KDD' 24: ACM SIGKDD International Conference on Knowledge Discovery and Data …, 2024 | 2 | 2024 |
| Cooperative lane-changing in mixed traffic: a deep reinforcement learning approach X Yao, Z Du, Z Sun, SC Calvert, A Ji Transportmetrica A: Transport Science, 1-23, 2024 | 2 | 2024 |
| ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems P Jia, Y Wang, Z Du, X Zhao, Y Wang, B Chen, W Wang, H Guo, R Tang KDD' 24: ACM SIGKDD International Conference on Knowledge Discovery and Data …, 2024 | 1 | 2024 |
| Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation Y Zhao, Z Du, Q Jia, L Zhang, Z Dong, R Tang arXiv preprint arXiv:2405.12892, 2024 | | 2024 |
| LightCS: Selecting Quadratic Feature Crosses in Linear Complexity Z Du, J Chen, Q Jia, C Wu, J Zhu, Z Dong, R Tang Companion Proceedings of the ACM on Web Conference 2024, 38-46, 2024 | | 2024 |
| A Tutorial on Feature Interpretation in Recommender Systems Z Du, C Wu, Q Jia, J Zhu 18th ACM Conference on Recommender Systems, 2024 | | 2024 |
