| Semi-supervised deep embedded clustering Y Ren, K Hu, X Dai, L Pan, SCH Hoi, Z Xu Neurocomputing 325, 121-130, 2019 | 200 | 2019 |
| How can recommender systems benefit from large language models: A survey J Lin, X Dai, Y Xi, W Liu, B Chen, H Zhang, Y Liu, C Wu, X Li, C Zhu, ... ACM Transactions on Information Systems 43 (2), 1-47, 2025 | 186* | 2025 |
| Interactive recommender system via knowledge graph-enhanced reinforcement learning S Zhou, X Dai, H Chen, W Zhang, K Ren, R Tang, X He, Y Yu Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020 | 185 | 2020 |
| Large-scale interactive recommendation with tree-structured policy gradient H Chen, X Dai, H Cai, W Zhang, X Wang, R Tang, Y Zhang, Y Yu Proceedings of the AAAI conference on artificial intelligence 33 (01), 3312-3320, 2019 | 170 | 2019 |
| A graph-enhanced click model for web search J Lin, W Liu, X Dai, W Zhang, S Li, R Tang, X He, J Hao, Y Yu Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 42 | 2021 |
| Map: A model-agnostic pretraining framework for click-through rate prediction J Lin, Y Qu, W Guo, X Dai, R Tang, Y Yu, W Zhang Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 36 | 2023 |
| An adversarial imitation click model for information retrieval X Dai, J Lin, W Zhang, S Li, W Liu, R Tang, X He, J Hao, J Wang, Y Yu Proceedings of the Web Conference 2021, 1809-1820, 2021 | 35 | 2021 |
| A bird's-eye view of reranking: from list level to page level Y Xi, J Lin, W Liu, X Dai, W Zhang, R Zhang, R Tang, Y Yu Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 29 | 2023 |
| U-rank: Utility-oriented learning to rank with implicit feedback X Dai, J Hou, Q Liu, Y Xi, R Tang, W Zhang, X He, J Wang, Y Yu Proceedings of the 29th ACM international conference on information …, 2020 | 21* | 2020 |
| Multi-level interaction reranking with user behavior history Y Xi, W Liu, J Zhu, X Zhao, X Dai, R Tang, W Zhang, R Zhang, Y Yu Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 19 | 2022 |
| Towards return parity in markov decision processes J Chi, J Shen, X Dai, W Zhang, Y Tian, H Zhao arXiv preprint arXiv:2111.10476, 2021 | 18 | 2021 |
| A survey on bid optimization in real-time bidding display advertising W Ou, B Chen, X Dai, W Zhang, W Liu, R Tang, Y Yu ACM Transactions on Knowledge Discovery from Data 18 (3), 1-31, 2023 | 16 | 2023 |
| Context-aware reranking with utility maximization for recommendation Y Xi, W Liu, X Dai, R Tang, W Zhang, Q Liu, X He, Y Yu arXiv preprint arXiv:2110.09059, 2021 | 16 | 2021 |
| Yunjia Xi, Weiwen Liu, Bo Chen, Hao Zhang, Yong Liu, Chuhan Wu, Xiangyang Li, Chenxu Zhu, et al. 2023. How can recommender systems benefit from large language models: A survey J Lin, X Dai arXiv preprint arXiv:2306.05817, 2023 | 10 | 2023 |
| Deep landscape forecasting in multi-slot real-time bidding W Ou, B Chen, Y Yang, X Dai, W Liu, W Zhang, R Tang, Y Yu Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 9 | 2023 |
| Lifelong personalized low-rank adaptation of large language models for recommendation J Zhu, J Lin, X Dai, B Chen, R Shan, J Zhu, R Tang, Y Yu, W Zhang arXiv preprint arXiv:2408.03533, 2024 | 6 | 2024 |
| Tired of plugins? large language models can be end-to-end recommenders W Zhang, X Li, Y Wang, K Dong, Y Wang, X Dai, X Zhao, H Guo, R Tang arXiv e-prints, arXiv: 2404.00702, 2024 | 5 | 2024 |
| Large language models make sample-efficient recommender systems J Lin, X Dai, R Shan, B Chen, R Tang, Y Yu, W Zhang Frontiers of Computer Science 19 (4), 194328, 2025 | 4 | 2025 |
| All roads lead to rome: Unveiling the trajectory of recommender systems across the llm era B Chen, X Dai, H Guo, W Guo, W Liu, Y Liu, J Qin, R Tang, Y Wang, C Wu, ... arXiv preprint arXiv:2407.10081, 2024 | 3 | 2024 |
| Personalized diversification for neural re-ranking in recommendation W Liu, Y Xi, J Qin, X Dai, R Tang, S Li, W Zhang, R Zhang 2023 IEEE 39th International Conference on Data Engineering (ICDE), 802-815, 2023 | 3 | 2023 |
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