| Uncovering chatgpt’s capabilities in recommender systems S Dai, N Shao, H Zhao, W Yu, Z Si, C Xu, Z Sun, X Zhang, J Xu Proceedings of the 17th ACM Conference on Recommender Systems, 1126-1132, 2023 | 82 | 2023 |
| A model-agnostic causal learning framework for recommendation using search data Z Si, X Han, X Zhang, J Xu, Y Yin, Y Song, JR Wen Proceedings of the ACM Web Conference 2022, 224-233, 2022 | 29 | 2022 |
| Incremental randomized sketching for online kernel learning X Zhang, S Liao International Conference on Machine Learning, 7394-7403, 2019 | 25 | 2019 |
| Counteracting user attention bias in music streaming recommendation via reward modification X Zhang, S Dai, J Xu, Z Dong, Q Dai, JR Wen Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 15 | 2022 |
| Online Kernel Selection via Incremental Sketched Kernel Alignment X Zhang, S Liao IJCAI, 3118-3124, 2018 | 14 | 2018 |
| Counterfactual Reward Modification for Streaming Recommendation with Delayed Feedback X Zhang, H Jia, H Su, W Wang, J Xu, JR Wen Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 13 | 2021 |
| P-MMF: Provider Max-min Fairness Re-ranking in Recommender System C Xu, S Chen, J Xu, W Shen, X Zhang, G Wang, Z Dong Proceedings of the ACM Web Conference 2023, 3701-3711, 2023 | 12 | 2023 |
| Llms may dominate information access: Neural retrievers are biased towards llm-generated texts S Dai, Y Zhou, L Pang, W Liu, X Hu, Y Liu, X Zhang, J Xu arXiv preprint arXiv:2310.20501, 2023 | 8 | 2023 |
| Law article-enhanced legal case matching: a model-agnostic causal learning approach Z Sun, J Xu, X Zhang, Z Dong, JR Wen arXiv preprint arXiv:2210.11012, 2022 | 7 | 2022 |
| A survey on online kernel selection for online kernel learning X Zhang, Y Liao, S Liao Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 9 (2 …, 2019 | 7 | 2019 |
| Enhancing Recommendation with Search Data in a Causal Learning Manner Z Si, Z Sun, X Zhang, J Xu, Y Song, X Zang, JR Wen ACM Transactions on Information Systems 41 (4), 1-31, 2023 | 6 | 2023 |
| When search meets recommendation: Learning disentangled search representation for recommendation Z Si, Z Sun, X Zhang, J Xu, X Zang, Y Song, K Gai, JR Wen Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 5 | 2023 |
| Tensor completion via multi-shared-modes canonical correlation analysis X Zhang, S Liao Neurocomputing 205, 106-115, 2016 | 5 | 2016 |
| 非奇 H-矩阵的一组迭代判别法 张骁， 陆全， 徐仲， 崔静静 数值计算与计算机应用 36 (1), 59-68, 2015 | 4 | 2015 |
| 非奇 H-矩阵的一组细分迭代判定条件 山瑞平， 陆全， 徐仲， 张骁 应用数学学报 37 (6), 1130-1139, 2014 | 4 | 2014 |
| Unbiased Top- Learning to Rank with Causal Likelihood Decomposition H Zhao, J Xu, X Zhang, G Cai, Z Dong, JR Wen Proceedings of the Annual International ACM SIGIR Conference on Research and …, 2023 | 3 | 2023 |
| Controllable Multi-Objective Re-ranking with Policy Hypernetworks S Chen, Y Wang, Z Wen, Z Li, C Zhang, X Zhang, Q Lin, C Zhu, J Xu Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 3 | 2023 |
| Variance reduction for deep Q-learning using stochastic recursive gradient H Jia, X Zhang, J Xu, W Zeng, H Jiang, X Yan International Conference on Neural Information Processing, 634-646, 2022 | 3 | 2022 |
| Reinforcement Re-ranking with 2D Grid-based Recommendation Panels S Chen, X Zhang, X Chen, Z Li, Y Wang, Q Lin, J Xu Proceedings of the Annual International ACM SIGIR Conference on Research and …, 2023 | 2 | 2023 |
| Hyperbandit: Contextual bandit with hypernewtork for time-varying user preferences in streaming recommendation C Shen, X Zhang, W Wei, J Xu Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 2 | 2023 |
