| 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 | 223 | 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 | 41 | 2022 |
| 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 SIGIR '23: Proceedings of the 46th International ACM SIGIR Conference on …, 2023 | 18 | 2023 |
| 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 | 14 | 2023 |
| KuaiSAR: A Unified Search And Recommendation Dataset Z Sun, Z Si, X Zang, D Leng, Y Niu, Y Song, X Zhang, J Xu Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 11* | 2023 |
| Generative Retrieval with Semantic Tree-Structured Identifiers and Contrastive Learning Z Si, Z Sun, J Chen, G Chen, X Zang, K Zheng, Y Song, X Zhang, J Xu, ... Proceedings of the 2024 Annual International ACM SIGIR Conference on …, 2024 | 10* | 2024 |
| Twin v2: Scaling ultra-long user behavior sequence modeling for enhanced ctr prediction at kuaishou Z Si, L Guan, ZX Sun, X Zang, J Lu, Y Hui, X Cao, Z Yang, Y Zheng, ... Proceedings of the 33rd ACM International Conference on Information and …, 2024 | 7 | 2024 |
| Explainable legal case matching via graph optimal transport Z Sun, W Yu, Z Si, J Xu, Z Dong, X Chen, H Xu, JR Wen IEEE Transactions on Knowledge and Data Engineering, 2023 | 7 | 2023 |
| Large language models enhanced collaborative filtering Z Sun, Z Si, X Zang, K Zheng, Y Song, X Zhang, J Xu Proceedings of the 33rd ACM International Conference on Information and …, 2024 | 2 | 2024 |
| Explicitly Integrating Judgment Prediction with Legal Document Retrieval: A Law-Guided Generative Approach W Qin, Z Cao, W Yu, Z Si, S Chen, J Xu Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 1 | 2024 |
| Reward Imputation with Sketching for Contextual Batched Bandits X Zhang, N Shao, Z Si, J Xu, W Wang, H Su, JR Wen Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| LargePiG: Your Large Language Model is Secretly a Pointer Generator Z Sun, Z Si, X Zang, K Zheng, Y Song, X Zhang, J Xu arXiv preprint arXiv:2410.11366, 2024 | | 2024 |
| UniSAR: Modeling User Transition Behaviors between Search and Recommendation T Shi, Z Si, J Xu, X Zhang, X Zang, K Zheng, D Leng, Y Niu, Y Song Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | | 2024 |
| To Search or to Recommend: Predicting Open-App Motivation with Neural Hawkes Process Z Sun, Z Si, X Zhang, X Zang, Y Song, H Xu, J Xu Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | | 2024 |
| Incorporating Judgment Prediction into Legal Case Retrieval via Law-aware Generative Retrieval W Qin, Z Cao, W Yu, Z Si, S Chen, J Xu arXiv preprint arXiv:2312.09591, 2023 | | 2023 |
| Partial Information as Full: Reward Imputation with Sketching in Bandits X Zhang, N Shao, Z Si, J Xu, W Wang, JR Wen | | 2021 |
| LargePiG for Hallucination-Free Query Generation: Your Large Language Model is Secretly a Pointer Generator ZX Sun, Z Si, X Zang, K Zheng, Y Song, X Zhang, J Xu THE WEB CONFERENCE 2025, 0 | | |
| Appendices for Reward Imputation with Sketching for Contextual Batched Bandits X Zhang, N Shao, Z Si, J Xu, W Wang, H Su, JR Wen | | |
Jun XuProfessor, Gaoling School of Artificial Intelligence, Renmin University of ChinaVerifierad e-postadress på ruc.edu.cn
