| Multi-Task Deep Recommender Systems: A Survey Y Wang, HT Lam, Y Wong, Z Liu, X Zhao, Y Wang, B Chen, H Guo, ... arXiv preprint arXiv:2302.03525, 2023 | 21 | 2023 |
| Exploration and Regularization of the Latent Action Space in Recommendation S Liu, Q Cai, B Sun, Y Wang, J Jiang, D Zheng, P Jiang, K Gai, X Zhao, ... Proceedings of the ACM Web Conference 2023, 833-844, 2023 | 12 | 2023 |
| PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations Y Wang, X Zhao, B Chen, Q Liu, H Guo, H Liu, Y Wang, R Zhang, R Tang Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 10 | 2023 |
| Variational Reinforcement Learning for Hyper-Parameter Tuning of Adaptive Evolutionary Algorithm H Zhang, J Sun, Y Wang, J Shi, Z Xu IEEE Transactions on Emerging Topics in Computational Intelligence, 2022 | 2 | 2022 |
| Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation Y Wang, Z Liu, Y Wang, X Zhao, B Chen, H Guo, R Tang Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | 1 | 2024 |
| AutoDPQ: Automated Differentiable Product Quantization for Embedding Compression X Gan, Y Wang, X Zhao, W Wang, Y Wang, Z Liu Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | | 2023 |
| Amortized Variational Deep Q Network H Zhang, Y Wang, J Sun, Z Xu arXiv preprint arXiv:2011.01706, 2020 | | 2020 |
