| 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 | 41 | 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 | 27 | 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 | 27 | 2023 |
| LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation Y Wang, Y Wang, Z Fu, X Li, W Wang, Y Ye, X Zhao, H Guo, R Tang Proceedings of the 33rd ACM International Conference on Information and …, 2024 | 9 | 2024 |
| 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 | 9 | 2024 |
| 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 7 (5 …, 2022 | 8 | 2022 |
| Tired of Plugins? Large Language Models Can Be End-To-End Recommenders W Zhang, C Wu, X Li, Y Wang, K Dong, Y Wang, X Dai, X Zhao, H Guo, ... arXiv preprint arXiv:2404.00702, 2024 | 5 | 2024 |
| Scenario-Aware Hierarchical Dynamic Network for Multi-Scenario Recommendation J Gao, B Chen, M Zhu, X Zhao, X Li, Y Wang, Y Wang, H Guo, R Tang arXiv preprint arXiv:2309.02061, 2023 | 4 | 2023 |
| G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models P Jia, Y Liu, X Li, X Zhao, Y Wang, Y Du, X Han, X Wei, S Wang, D Yin arXiv preprint arXiv:2405.14702, 2024 | 3 | 2024 |
| Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models Y Wang, J Pan, X Zhao, P Jia, W Wang, Y Wang, Y Liu, D Liu, J Jiang arXiv preprint arXiv:2412.04107, 2024 | | 2024 |
| Multi-level Graph Knowledge Contrastive Learning H Yang, Y Wang, X Zhao, H Chen, H Yin, Q Li, G Xu IEEE Transactions on Knowledge and Data Engineering, 2024 | | 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 Deep Reinforcement Learning Workshop, NeurIPS 2020, 2020 | | 2020 |
Xiangyu ZhaoAssistant Professor, City University of Hong Kong在 cityu.edu.hk 的电子邮件经过验证