Xiao Zhang

2026

doi dblp
Enhancing Bandit Algorithms with LLMs for Time-varying User Preferences in Streaming Recommendations.
Chenglei Shen|Yi Zhan|Weijie Yu|Xiao Zhang|Jun Xu
ACM Transactions on Information Systems (TOIS) 2026 Volume 44 Issue 3
doi dblp
Counteracting the Delayed Conversions in OCPC with Survival Analysis.
Leping Zhang|Chenxuan He|Xiao Zhang|Yichao Wang|Tengxiang Zhang|Zhenhua Dong|Jun Xu
Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026
doi dblp
Room Matters: Dynamic Room-level Collaboration Information Modeling for Live Streaming Recommendation.
Ke Guo|Changle Qu|Xiao Zhang|Liqin Zhao|Shijun Wang|Yanan Niu|Jun Xu
Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026.

2025

doi dblp
LTP-MMF: Toward Long-Term Provider Max-Min Fairness under Recommendation Feedback Loops.
Chen Xu|Xiaopeng Ye|Jun Xu|Xiao Zhang|Weiran Shen|Ji-Rong Wen
ACM Transactions on Information Systems (TOIS) 2025 Volume 43 Issue 1
doi dblp
Adapting Constrained Markov Decision Process for OCPC Bidding with Delayed Conversions.
Leping Zhang|Xiao Zhang|Yichao Wang|Xuan Li|Zhenhua Dong|Jun Xu
ACM Transactions on Information Systems (TOIS) 2025 Volume 43 Issue 2
doi dblp
Benefit from Rich: Tackling Search Interaction Sparsity in Search Enhanced Recommendation.
Teng Shi|Weijie Yu|Xiao Zhang|Ming He|Jianping Fan|Jun Xu
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025
doi dblp
Bridging Short Videos and Streamers with Multi-Graph Contrastive Learning for Live Streaming Recommendation.
Changle Qu|Liqin Zhao|Yanan Niu|Xiao Zhang|Jun Xu
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025
doi dblp
Retrieval Augmented Generation with Collaborative Filtering for Personalized Text Generation.
Teng Shi|Jun Xu|Xiao Zhang|Xiaoxue Zang|Kai Zheng|Yang Song|Han Li
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025
doi dblp
ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process Rewarding.
Zhongxiang Sun|Qipeng Wang|Weijie Yu|Xiaoxue Zang|Kai Zheng|Jun Xu|Xiao Zhang|Yang Song|Han Li
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025
doi dblp
LargePiG for Hallucination-Free Query Generation: Your Large Language Model is Secretly a Pointer Generator.
Zhongxiang Sun|Zihua Si|Xiaoxue Zang|Kai Zheng|Yang Song|Xiao Zhang|Jun Xu
Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025

2024

doi dblp
Large Language Models Enhanced Collaborative Filtering.
Zhongxiang Sun|Zihua Si|Xiaoxue Zang|Kai Zheng|Yang Song|Xiao Zhang|Jun Xu
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024
doi dblp
SAQRec: Aligning Recommender Systems to User Satisfaction via Questionnaire Feedback.
Kepu Zhang|Teng Shi|Sunhao Dai|Xiao Zhang|Yinfeng Li|Jing Lu|Xiaoxue Zang|Yang Song|Jun Xu
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024
doi dblp
ReCODE: Modeling Repeat Consumption with Neural ODE.
Sunhao Dai|Changle Qu|Sirui Chen|Xiao Zhang|Jun Xu
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024
doi dblp
UniSAR: Modeling User Transition Behaviors between Search and Recommendation.
Teng Shi|Zihua Si|Jun Xu|Xiao Zhang|Xiaoxue Zang|Kai Zheng|Dewei Leng|Yanan Niu|Yang Song
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024
doi dblp
To Search or to Recommend: Predicting Open-App Motivation with Neural Hawkes Process.
Zhongxiang Sun|Zihua Si|Xiao Zhang|Xiaoxue Zang|Yang Song|Hongteng Xu|Jun Xu
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024
doi dblp
Reinforcing Long-Term Performance in Recommender Systems with User-Oriented Exploration Policy.
Changshuo Zhang|Sirui Chen|Xiao Zhang|Sunhao Dai|Weijie Yu|Jun Xu
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024
doi dblp
FairSync: Ensuring Amortized Group Exposure in Distributed Recommendation Retrieval.
Chen Xu|Jun Xu|Yiming Ding|Xiao Zhang|Qi Qi
Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024

2023

doi dblp
Enhancing Recommendation with Search Data in a Causal Learning Manner.
Zihua Si|Zhongxiang Sun|Xiao Zhang|Jun Xu|Yang Song|Xiaoxue Zang|Ji-Rong Wen
ACM Transactions on Information Systems (TOIS) 2023 Volume 41 Issue 4
doi dblp
HyperBandit: Contextual Bandit with Hypernewtork for Time-Varying User Preferences in Streaming Recommendation.
Chenglei Shen|Xiao Zhang|Wei Wei|Jun Xu
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023
doi dblp
KuaiSAR: A Unified Search And Recommendation Dataset.
Zhongxiang Sun|Zihua Si|Xiaoxue Zang|Dewei Leng|Yanan Niu|Yang Song|Xiao Zhang|Jun Xu
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023
doi dblp
When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation.
Zihua Si|Zhongxiang Sun|Xiao Zhang|Jun Xu|Xiaoxue Zang|Yang Song|Kun Gai|Ji-Rong Wen
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023
doi dblp
Law Article-Enhanced Legal Case Matching: A Causal Learning Approach.
Zhongxiang Sun|Jun Xu|Xiao Zhang|Zhenhua Dong|Ji-Rong Wen
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023
doi dblp
Separating Examination and Trust Bias from Click Predictions for Unbiased Relevance Ranking.
Haiyuan Zhao|Jun Xu|Xiao Zhang|Guohao Cai|Zhenhua Dong|Ji-Rong Wen
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023.
doi dblp
P-MMF: Provider Max-min Fairness Re-ranking in Recommender System.
Chen Xu|Sirui Chen|Jun Xu|Weiran Shen|Xiao Zhang|Gang Wang|Zhenhua Dong
Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023

2022

doi dblp
A Model-Agnostic Causal Learning Framework for Recommendation using Search Data.
Zihua Si|Xueran Han|Xiao Zhang|Jun Xu|Yue Yin|Yang Song|Ji-Rong Wen
WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022

2021

doi dblp
Counterfactual Reward Modification for Streaming Recommendation with Delayed Feedback.
Xiao Zhang|Haonan Jia|Hanjing Su|Wenhan Wang|Jun Xu|Ji-Rong Wen
SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021

2019

doi dblp
Online Kernel Selection via Tensor Sketching.
Shizhong Liao|Hojung Nam|Xiao Zhang|Ki Young Lee
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019.
doi dblp
New Online Kernel Ridge Regression via Incremental Predictive Sampling.
Shan Xu|Xiao Zhang|Shizhong Liao
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019.