No Stakeholder Left Behind: Regret Theory-Guided Re-ranking for Two-Sided Fair Recommendation
Xiaopeng Ye, Chen Xu, Jun Xu, Xuyang Xie, Gang Wang, Zhenhua Dong
ACM Transactions on Information Systems (TOIS), Accepted

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, Accepted)

Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation
jiakai Tang, Sunhao Dai, Teng Shi, Jun Xu, Xu Chen, Wen Chen, Jian Wu, Yuning Jiang
IEEE Transactions on Knowledge and Data Engineering (TKDE, Accepted)

OneRank: Unified Transformer-Native Ranking Architecture for Multi-Task Recommendation
Jiakai Tang, Sunhao Dai, Kun Wang, Zhiluohan Guo, Yu Zhao, Cong Fu, Kangle Wu, Yabo Ni, Anxiang Zeng, Xu Chen, Jun Xu
The 32nd SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2026)

When Personalization Misleads: Understanding and Mitigating Hallucinations in Personalized LLMs
Zhongxiang Sun, Yi Zhan, chenglei shen, Weijie Yu, Xiao Zhang, Ming He, Jun Xu
The 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026)

Towards Understanding Continual Factual Knowledge Acquisition of Language Models: From Theory to Algorithm
Haoyu Wang, yifan shang, Zhongxiang Sun, Weijie Yu, Xiao Zhang, Jun Xu
The 43rd International Conference on Machine Learning (ICML 2026)

OnePiece: Bringing Context Engineering and Reasoning to Industrial Cascade Ranking System
Sunhao Dai, Jiakai Tang, Jiahua Wu, Kun Wang, Yuxuan Zhu, Bingjun Chen, Bangyang Hong, Yu Zhao, Cong Fu, Kangle Wu, Yabo Ni, Anxiang Zeng, Wenjie Wang, Xu Chen, Jun Xu, See-Kiong Ng
The 32nd SIGKDD Conference on Knowledge Discovery and Data Mining, Applied Data Science Track(KDD 2026 ADS track)

Discovering and Alleviating Data Leakage in Staytime Prediction for Live Streaming Recommendation
Weihao Liu, Xiaopeng Ye, Chen Zhang, Haiyuan Zhao, Xiaoyan Zhao, Xiao Zhang, Jun Xu
The 32nd SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2026)

MatchTIR: Fine-Grained Supervision for Tool-Integrated Reasoning via Bipartite Matching
Changle Qu, Sunhao Dai, Hengyi Cai, Jun Xu, Shuaiqiang Wang, Dawei Yin
The 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026)

KuaiLive: A Real-time Interactive Dataset for Live Streaming Recommendation
Changle Qu, Sunhao Dai, Ke Guo, Xiao Zhang, Liqin Zhao, Shijun Wang, Yannan Niu, Lantao Hu, Han Li, Jun Xu
The 49th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2026, resource)

QE-RAG: A Robust Retrieval-Augmented Generation Benchmark for Query Entry Errors
Kepu Zhang, Zhongxiang Sun, Weijie Yu, Xiaoxue Zang, Kai Zheng, Yang Song, Han Li and Jun Xu
The 49th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2026, resource)

GenRecEdit: Adapting Model Editing for Generative Recommendation with Cold-Start Items
Chenglei Shen, Teng Shi, Weijie Yu, Xiao Zhang, Jun Xu
The 49th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2026)

Disentangling from Collaborative and Semantic Views: Graph Collaborative Filtering for Q&A Recommendation
Changshuo Zhang, Teng Shi, Xiao Zhang, Yanping Zheng, Ruobing Xie, Qi Liu, Jun Xu
The 49th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2026)

Large-Scale Online Learning for Generative List Recommendation in E-commerce: An Environment Policy Optimization Approach
Yuan Wang, Zhiyu Li, Ang Gao, Changshuo Zhang, Xiao Zhang, Jun Xu, Quan Lin
The 49th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2026)

Mining Informative Interests via Latent Cross Reasoning for Search Enhanced Recommendation
Teng Shi, Weicong Qin, Weijie Yu, Xiao Zhang, Ming He, Jianping Fan, Jun Xu
The 49th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2026)

The Attention Market: Interpreting Online Fair Re-ranking as Manifold Optimization under Walrasian Equilibrium
Chen Xu, Wei Chu, Wenyu Hu, Fengran Mo, Jun Xu, Maarten de Rijke
The 49th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2026)

Learning to Retrieve from Agent Trajectories
Yuqi Zhou, Sunhao Dai, Changle Qu, Liang Pang, Jun Xu, Ji-Rong Wen
The 49th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2026)

Deep Search with Hierarchical Meta-Cognitive Monitoring Inspired by Cognitive Neuroscience
Zhongxiang Sun, Qipeng Wang, Weijie Yu, Jingxuan Yang, Haolang Lu, Jun Xu
The 49th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2026)

DLLM-Searcher: Adapting Diffusion Language Model for Efficient Search Agents
Jiahao Zhao, Shaoxuan Xu, Zhongxiang Sun, Fengqi Zhu, Jingyang Ou, Yuling Shi, Chongxuan Li, Xiao Zhang, Jun Xu
The 49th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2026)

IBCB: Efficient Inverse Batched Contextual Bandit for Behavioral Evolution History
Yi Xu, Weiran Shen, Jun Xu, Xiao Zhang, Ji-Rong Wen
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) (Accepted)

Unveiling and Simulating Short-Video Addiction Behaviors via Economic Addiction Theory
Chen Xu, Zhipeng Yi, Ruizi Wang, Wenjie Wang, Jun Xu and Maarten de Rijke
The Web Conference （WWW 2026)

Room matters: Dynamic room-level collaboration information modeling for live streaming recommendation
Ke Guo, Changle Qu, Xiao Zhang, Liqin Zhao, Shijun Wang, Yanan Niu and Jun Xu
The Web Conference （WWW 2026)

Mechanistic Detection and Mitigation of Hallucination in Large Reasoning Models
Zhongxiang Sun, Qipeng Wang, Haoyu Wang, Xiao Zhang, Jun Xu
International Conference on Learning Representations (ICLR 2026)

StyliTruth : Unlocking stylized yet truthful LLM generation via disentangled steering
Chenglei Shen, Zhongxiang Sun, Teng Shi, Xiao Zhang, Jun Xu
International Conference on Learning Representations (ICLR 2026)

Counteracting the Delayed Conversions in OCPC with Survival Analysis
Leping Zhang, Chenxuan He, Xiao Zhang, Yichao Wang, Tengxiang Zhang, Zhenhua Dong and Jun Xu
The 19th ACM International Conference on Web Search and Data Mining (WSDM 2026)

PrLM: Learning Explicit Reasoning for Personalized RAG via Contrastive Reward Optimization
Kepu Zhang, Teng Shi, Weijie Yu and Jun Xu
ACM International Conference on Information and Knowledge Management (CIKM 2025, short paper) · 论文链接

BordaRAG: Resolving Knowledge Conflict in Retrieval-Augmented Generation via Borda Voting Process
Yuxin Li, Chen Xu, Jun Xu and Ji-Rong Wen
ACM International Conference on Information and Knowledge Management (CIKM 2025) · 论文链接

SyLeR: A Framework for Explicit Syllogistic Legal Reasoning in Large Language Models
Kepu Zhang, Weijie Yu, Zhongxiang Sun and Jun Xu
ACM International Conference on Information and Knowledge Management (CIKM 2025) · 论文链接

Benefit from Rich: Tackling Search Interaction Sparsity in Search Enhanced Recommendation
Teng Shi, Weijie Yu, Xiao Zhang, Ming He, Jianping Fan and Jun Xu
ACM International Conference on Information and Knowledge Management (CIKM 2025) · 论文链接

Q-PRM: Adaptive Query Rewriting for Retrieval-Augmented Generation via Step-level Process Supervision
Xiaopeng Ye, Chen Xu, Chaoliang Zhang, Zhaocheng Du, Jun Xu, Gang Wang, Zhenhua Dong
EMNLP Findings 2025 · 论文链接

Uplift-RAG: Uplift-Driven Knowledge Preference Alignment for Retrieval-Augmented Generation
Changle Qu, Sunhao Dai, Hengyi Cai, Yiyang Cheng, Jun Xu, Shuaiqiang Wang, Dawei Yin
EMNLP Findings 2025 · 论文链接

Beyond Guilt: Legal Judgment Prediction with Trichotomous Reasoning
Kepu Zhang, Haoyue Yang, Xu Tang, Weijie Yu, Jun Xu
EMNLP Findings 2025 · 论文链接

Legal Mathematical Reasoning with LLMs: Procedural Alignment through Two-Stage Reinforcement Learning
Kepu Zhang, Guofu Xie, Weijie Yu, Mingyue Xu, Xu Tang, Yaxin Li, Jun Xu
EMNLP Findings 2025 · 论文链接

Similarity = Value? Consultation Value-Assessment and Alignment for Personalized Search
Weicong Qin, Yi Xu, Weijie Yu, Teng Shi, Chenglei Shen, Ming He, Jianping Fan, Xiao Zhang, Jun Xu
Conference on Empirical Methods in Natural Language Processing (EMNLP 2025) · 论文链接

Media Source Matters More Than Content: Unveiling Political Bias in LLM-Generated Citations
Sunhao Dai, Zhanshuo Cao, Wenjie Wang, Liang Pang, Jun Xu, See-Kiong Ng, Tat-Seng Chua
Conference on Empirical Methods in Natural Language Processing (EMNLP 2025) · 论文链接

A Survey of Controllable Learning: Methods and Applications in Information Retrieval
Chenglei Shen, Xiao Zhang, Teng Shi, Changshuo Zhang, Guofu Xie, Jun Xu, Ming He, Jianping Fan
Frontiers of Computer Science (FCS)

Test-Time Alignment with State Space Model for Tracking User Interest Shifts in Sequential Recommendation
Changshuo Zhang, Xiao Zhang, Teng Shi, Jun Xu and Ji-Rong Wen
The ACM Conference Series on Recommender Systems (RecSys 2025) · 论文链接

GenSAR: Unifying Balanced Search and Recommendation with Generative Retrieval
Teng Shi, Jun Xu, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Yang Song, Enyun Yu
The ACM Conference Series on Recommender Systems (RecSys 2025) · 论文链接

MoRE: A Mixture of Reflectors Framework for Large Language Model-Based Sequential Recommendation
Weicong Qin, Yi Xu, Weijie Yu, Chenglei Shen, Xiao Zhang, Ming He, Jianping Fan, and Jun Xu
The ACM Conference Series on Recommender Systems (RecSys 2025) · 论文链接

CitaLaw: Enhancing LLM with Citations in Legal Domain
Kepu Zhang, Weijie Yu, Sunhao Dai, Jun Xu
ACL Findings (2025) · 论文链接

Length-Induced Embedding Collapse in PLM-based Models
Yuqi Zhou, Sunhao Dai, Zhanshuo Cao, Xiao Zhang, Jun Xu
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025) · 论文链接

Towards Effective and Efficient Continual Pre-training of Large Language Models
Jie Chen, Zhipeng Chen, Jiapeng Wang, Kun Zhou, Yutao Zhu, Jinhao Jiang, Yingqian Min, Xin Zhao, Zhicheng Dou, Jiaxin Mao, Yankai Lin, Ruihua Song, Jun Xu, Xu Chen, Rui Yan, Zhewei Wei, Di Hu, Wenbing Huang, Ji-Rong Wen
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025) · 论文链接

MAPS: Motivation-Aware Personalized Search via LLM-Driven Consultation Alignment
Weicong Qin, Yi Xu, Weijie Yu, Chenglei Shen, Ming He, Jianping Fan, Xiao Zhang, Jun Xu
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025) · 论文链接

ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process Rewarding
Zhongxiang Sun, Qipeng Wang, Weijie Yu, Xiaoxue Zang, Kai Zheng, Jun Xu, Xiao Zhang, Yang Song and Han Li
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2025) · 论文链接

Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop
Yuqi Zhou, Sunhao Dai, Liang Pang, Gang Wang, Zhenhua Dong, Jun Xu and Ji-Rong Wen
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2025) · 论文链接

Understanding Accuracy-Fairness Trade-offs in Re-ranking through Elasticity in Economics
Chen Xu, Jujia Zhao, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua and Maarten de Rijke
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2025) · 论文链接

Mitigating Source Bias with LLM Alignment
Sunhao Dai, Yuqi Zhou, Liang Pang, Zhuoyang Li, Zhaocheng Du, Gang Wang and Jun Xu
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2025) · 论文链接

Retrieval Augmented Generation with Collaborative Filtering for Personalized Text Generation
Teng Shi, Jun Xu, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Yang Song and Han Li
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2025) · 论文链接

LLM-Empowered Creator Simulation for Long-Term Evaluation of Recommender Systems Under Information Asymmetry
Xiaopeng Ye, Chen Xu, Zhongxiang Sun, Jun Xu, Gang Wang, Zhenhua Dong and Ji-Rong Wen
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2025) · 论文链接

Bridging Short Videos and Streamers with Multi-Graph Contrastive Learning for Live Streaming Recommendation
Changle Qu, Liqin Zhao, Yanan Niu, Xiao Zhang and Jun Xu
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2025) · 论文链接

FairDiverse: A Comprehensive Toolkit for Fairness- and Diversity-aware Information Retrieval
Chen Xu, Zhirui Deng, Clara Rus, Xiaopeng Ye, Yuanna Liu, Jun Xu, Zhicheng Dou, Ji-Rong Wen and Maarten de Rijke
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2025, resources) · 论文链接

NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search
Sunhao Dai, Wenjie Wang, Liang Pang, Jun Xu, See-Kiong Ng, Ji-Rong Wen and Tat-Seng Chua
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2025, perspectives) · 论文链接

From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions
Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen
International Conference on Learning Representations (ICLR 2025, Oral 1.8%) · 论文链接

Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation
Chen Xu, Yuxin Li, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua
International Conference on Learning Representations (ICLR 2025) · 论文链接

ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability
Zhongxiang Sun, Xiaoxue Zang, Kai Zheng, Jun Xu, Xiao Zhang, Weijie Yu, Yang Song, Han Li
International Conference on Learning Representations (ICLR 2025, Spotlight 5.1%) · 论文链接

Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents
Haoyu Wang, Sunhao Dai, Haiyuan Zhao, Liang Pang, Xiao Zhang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen
International Conference on Learning Representations (ICLR 2025) · 论文链接

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
The ACM Web Conference 2025 (WWW 2025), Sydney, NSW, Australia, pp. 4766–4779. · 论文链接

AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization
Xiao Zhang, Sunhao Dai, Jun Xu, Yong Liu, Zhenhua Dong
The 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025), 39(21), pp. 22596-22604. · 论文链接

Trigger$^3$: Refining Query Correction via Adaptive Model Selector
Kepu Zhang, ZhongXiang Sun, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Yang Song, Jun Xu
The 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025), 39(12), pp. 13260-13268. · 论文链接

Adapting Constrained Markov Decision Process for OCPC Bidding with Delayed Conversions
Leping Zhang, Xiao Zhang, Yichao Wang, Xuan Li, Zhenhua Dong, and Jun Xu
ACM Transactions on Information Systems (TOIS), Vol. 43, No. 2, Article 47 · 论文链接

Tool Learning with Large Language Models: A Survey
Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-rong Wen
Frontiers of Computer Science (FCS), 2025, 19(8): 198343 · 论文链接

Generative Retrieval with Semantic Tree-Structured Identifiers and Contrastive Learning
Zihua Si, Zhongxiang Sun, Jiale Chen, Guozhang Chen, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang, Jun Xu, Kun Gai
Proceedings of the 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region (SIGIR-AP 2024, Best Paper Award) · 论文链接

A Study of Implicit Ranking Unfairness in Large Language Models
Chen Xu, Wenjie Wang, Yuxin Li, Liang Pang, Jun Xu, Tat-Seng Chua
Findings of the Association for Computational Linguistics: EMNLP 2024, pages 7957–7970, Miami, Florida, USA. Association for Computational Linguistics. · 论文链接

LTP-MMF: Towards Long-term Provider Max-min Fairness Under Recommendation Feedback Loops
Chen Xu, Xiaopeng Ye, Jun Xu, Xiao Zhang, Weiran Shen, and Ji-Rong Wen
ACM Transactions on Information Systems (TOIS), Vol. 43, No. 1, Article 11, 29 pages. · 论文链接

Do Not Wait: Learning Re-Ranking Model Without User Feedback At Serving Time in E-Commerce
Yuan Wang, Zhiyu Li, Changshuo Zhang, Sirui Chen, Xiao Zhang, Jun Xu and Quan Lin
The 18th ACM Conference on Recommender Systems (RecSys 2024) · 论文链接

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 and Jun Xu
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024) · 论文链接

Large Language Models Enhanced Collaborative Filtering
Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang and Jun Xu
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024) · 论文链接

Towards Completeness-Oriented Tool Retrieval for Large Language Models
Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu and Ji-Rong Wen
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024) · 论文链接

Guaranteeing Accuracy and Fairness under Fluctuating User Traffic: A Bankruptcy-Inspired Re-ranking Approach
Xiaopeng Ye, Chen Xu, Jun Xu, Xuyang Xie, Gang Wang and Zhenhua Dong
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024) · 论文链接

Model-Agnostic Causal Embedding Learning for Counterfactually Group-Fair Recommendation
Xiao Zhang, Teng Shi, Jun Xu, Zhenhua Dong, Ji-Rong Wen
IEEE Transactions on Knowledge and Data Engineering (TKDE), VOL. 36, NO. 12, DECEMBER 2024 · 论文链接

Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era
Sunhao Dai, Chen Xu, Shicheng Xu, Liang Pang, Zhenhua Dong, Jun Xu
The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024 Tutorial) · 论文链接

Neural Retrievers are Biased Towards LLM-Generated Content
Sunhao Dai, Yuqi Zhou, Liang Pang, Weihao Liu, Xiaolin Hu, Yong Liu, Xiao Zhang, Gang Wang, Jun Xu
The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024) · 论文链接

Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time
Haiyuan Zhao, Guohao Cai, Jieming Zhu, Zhenhua Dong, Jun Xu, Ji-Rong Wen
The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024) · 论文链接

Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method
Chen Yang, Sunhao Dai, Yupeng Hou, Xin Zhao, Jun Xu, SONG Yang, Hengshu Zhu
The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024) · 论文链接

Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning
Jiakai Tang, Sunhao Dai, Zexu Sun, Xu Chen, Jun Xu, Wenhui Yu, Lantao Hu, Peng Jiang, Han Li
The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024) · 论文链接

Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration
Sunhao Dai, Weihao Liu, Yuqi Zhou, Liang Pang, Rongju Ruan, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen
ACL Findings (2024) · 论文链接

Effective In-Context Example Selection through Data Compression
ZhongXiang Sun, Kepu Zhang, Haoyu Wang, Xiao Zhang, Jun Xu
ACL Findings (2024) · 论文链接

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 and Yang Song
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024) · 论文链接

A Taxation Perspective for Fair Re-ranking
Chen Xu, Xiaopeng Ye, Wenjie Wang, Liang Pang, Jun Xu and Tat-Seng Chua
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024, Best Paper Honorable Mention) · 论文链接

ReCODE: Modeling Repeat Consumption with Neural ODE
Sunhao Dai, Changle Qu, Sirui Chen, Xiao Zhang and Jun Xu
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024, Best Short Paper nominees) · 论文链接

Invisible Relevance Bias: Text-Image Retrieval Models Prefer AI-Generated Images
Shicheng Xu, Danyang Hou, Liang Pang, Jingcheng Deng, Jun Xu, Huawei Shen and Xueqi Cheng
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024) · 论文链接

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 and Jun Xu
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024) · 论文链接

Explicitly Integrating Judgment Prediction with Legal Document Retrieval: A Law-Guided Generative Approach
Weicong Qin, Zelin Cao, Weijie Yu, Zihua Si, Sirui Chen and Jun Xu
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024) · 论文链接

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) · 论文链接

Smooth Start: A Unified Approach for gradual transition from cold to old in Recommender Systems
Jianwen Yang, Xiao Zhang, Jun Xu
The 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024)

Logic Rules as Explanations for Legal Case Retrieval
ZhongXiang Sun, Kepu Zhang, Weijie Yu, Haoyu Wang and Jun Xu
In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pp. 10747–10759, Torino, Italia. · 论文链接

List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation
Shicheng Xu, Liang Pang, Jun Xu, Huawei Shen, Xueqi Cheng
The ACM Web Conference 2024 · 论文链接

FairSync: Ensuring Amortized Group Exposure in Distributed Recommendation Retrieval
Chen Xu, Jun Xu, Yiming Ding, Xiao Zhang, Qi Qi
The ACM Web Conference 2024 · 论文链接

Modeling User Attention in Music Recommendation
Sunhao Dai, Ninglu Shao, Jieming Zhu, Xiao Zhang, Zhenhua Dong, Jun Xu, Quanyu Dai, Ji-Rong Wen
IEEE 40th International Conference on Data Engineering (ICDE 2024), Utrecht, Netherlands, 2024, pp. 761-774 · 论文链接

Explainable Legal Case Matching via Graph Optimal Transport
Zhongxiang Sun, Weijie Yu, Zihua Si, Jun Xu, Zhenhua Dong, Xu Chen, Hongteng Xu, Ji-Rong Wen
IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 36, No. 6, pp. 2461-2475 · 论文链接

Reward Imputation with Sketching for Contextual Batched Bandits
Xiao Zhang, Ninglu Shao, Zihua Si, Jun Xu, Wenhan Wang, Hanjing Su, Ji-Rong Wen
the 37th Annual Conference on Neural Information Processing Systems (NeurIPS 2023) · 论文链接

App搜索场景下的意图推荐方法研究
周雨琦，戴孙浩，张朝亮，王刚，户保田，徐君
第二十九届全国信息检索学术会议 (CCIR2023)

Reinforcement Re-ranking with 2D Grid-based Recommendation Panels
Sirui Chen, Xiao Zhang, Xu Chen, Zhiyu Li, Yuan Wang, Quan Lin, and Jun Xu
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region (SIGIR-AP ’23) · 论文链接

Unbiased Top-$k$ Learning to Rank with Causal Likelihood Decomposition
Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen
In Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region (SIGIR-AP ’23, Best Paper Award) · 论文链接

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) · 论文链接

KuaiSAR: A Unified Search And Recommendation Dataset
Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Dewei Leng, Yanan Niu, Yang Song, Xiao Zhang, Jun Xu
CIKM 2023 Resource Paper · 论文链接

Dually Enhanced Delayed Feedback Modeling for Streaming Conversion Rate Prediction
Sunhao Dai, Yuqi Zhou, Jun Xu, Ji-Rong Wen
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023) · 论文链接

Uncovering ChatGPT’s Capabilities in Recommender Systems
Sunhao Dai, Ninglu Shao, Haiyuan Zhao, Weijie Yu, Zihua Si, Chen Xu, Zhongxiang Sun, Xiao Zhang and Jun Xu
RecSys 2023 Late Breaking Results (LBR) track · 论文链接

Syntactic-Informed Graph Networks for Sentence Matching
Chen Xu, Jun Xu, Zhenhua Dong, Ji-Rong, Wen
ACM Transactions on Information Systems (TOIS), Vol. 42, No. 2, Article 38 · 论文链接

Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation
Haiyuan Zhao, Lei Zhang, Jun Xu, Guohao Cai, Zhenhua Dong and Ji-Rong Wen
Proceedings of the 17th ACM Conference on Recommender Systems (RecSys 2023) · 论文链接

Controllable Multi-Objective Re-ranking with Policy Hypernetworks
Sirui Chen, Yuan Wang, Zijing Wen, Zhiyu Li, ChangShuo Zhang, Xiao Zhang, Lin Quan, Cheng Zhu, Jun Xu
KDD 2023 Applied Data Science (ADS) track · 论文链接

Conditional Counterfactual Causal Effect for Individual Attribution
Ruiqi Zhao, Lei Zhang, Shengyu Zhu, Zitong Lu, Zhenhua Dong, Chaoliang Zhang, Jun Xu, Zhi Geng, Yangbo He
Proceedings of the 39th Conference on Uncertainty in Artificial Intelligence (UAI 2023, Poster Spotlight) · 论文链接

ACRank: 在神经排序模型中引入检索公理知识
薄琳，庞亮，张朝亮，王钊伟，董振华，徐君，文继荣
计算机学报 · 论文链接

When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation
Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Xiaoxue Zang, Yang Song, Kun Gai and Ji-Rong Wen
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023)

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)

U-SetRank：基于注意力机制修正的SetRank纠偏
张乐凭，徐君，庞亮，董振华，文继荣
计算机研究与发展

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)，Vol. 41, No. 4, Article 111 · 论文链接

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
International World Wide Web Conference (WWW 2023, Spotlight / Best Paper Award Nomination) · 论文链接

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) · 论文链接

基于多任务学习的倾向性得分预测算法
曹泽麟，徐君，董振华，文继荣
计算机研究与发展, 2023, 60(1): 85-94 · 论文链接

Variance reduction for deep Q-Learning using stochastic recursive gradient
Haonan Jia, Xiao Zhang, Jun Xu, Wei Zeng, Hao Jiang, Xiaohui Yan
Proceedings of the 29th International Conference on Neural Information Processing (ICONIP 2022) · 论文链接

Optimal Partial Transport Based Sentence Selection for Long-form Document Matching
Weijie Yu, Liang Pang, Jun Xu, Bing Su, Zhenhua Dong and Ji-Rong Wen
The 29th International Conference on Computational Linguistics (COLING ‘22)

Semantic Sentence Matching via Interacting Syntax Graphs
Chen Xu, Jun Xu, Zhenhua Dong and Ji-Rong Wen
The 29th International Conference on Computational Linguistics (COLING ‘22)

Dually Enhanced Propensity Score Estimation in Sequential Recommendation
Chen Xu, Jun Xu, Xu Chen, Zhenghua Dong, Ji-RongWen
Proceedings of the 31st ACM International Conference on Information and Knowledge Management (CIKM ’22) · 论文链接

A Tag-Based Post-Hoc Framework for Explainable Conversational Recommendation
Kerui Xu, Jun Xu, Sheng Gao, Si Li, Jun Guo, and Ji-Rong Wen
Proceedings of the 2022 ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR ’22) · 论文链接

Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction
Weijie Yu, Zhongxiang Sun, Jun Xu, Zhenhua Dong, Xu Chen, Hongteng Xu, and Ji-RongWen
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’22) · 论文链接

Counteracting User Attention Bias in Music Streaming Recommendation via Reward Modification
Xiao Zhang, Sunhao Dai, Jun Xu, Zhenhua Dong, Quanyu Dai, Ji-Rong Wen
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’22) · 论文链接

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
Proceedings of the ACM Web Conference 2022 (WWW ’22) · 论文链接

Distribution Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains
Weijie Yu , Chen Xu, Jun Xu , Liang Pang, and Ji-Rong Wen
IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING (TASLP), VOL. 30 · 论文链接

Adapting User Preference to Online Feedback in Multi-round Conversational Recommendation
Kerui Xu, Jingxuan Yang, Jun Xu, Sheng Gao, Jun Guo, Ji-Rong Wen
Proceedings of the 14th ACM International Conference on Web Search and Data Mining, pages 364–372 · 论文链接

Counterfactual Reward Modification for Streaming Recommendation with Delayed Feedback
Xiao Zhang, Haonan Jia, Hanjing Su, Wenhan Wang, Jun Xu, Ji-Rong Wen
In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’21), July 11–15, 2021, Virtual Event, Canada.

RLPS: A Reinforcement Learning–Based Framework for Personalized Search
Jing Yao, Zhicheng Dou, Jun Xu, Ji-Rong Wen
ACM Transactions on Information Systems (TOIS) 39 (3), 1-29

Regret Bounds for Online Kernel Selection in Continuous Kernel Space
Xiao Zhang, Shizhong Liao, Jun Xu, Ji-Rong Wen
Proceedings of the AAAI Conference on Artificial Intelligence 35 (12)

A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech
Jingxuan Yang, Kerui Xu, Jun Xu, Si Li, Sheng Gao, Jun Guo, Nianwen Xue, Ji-Rong Wen
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics, ACL 2021

RLPer: A Reinforcement Learning Model for Personalized Search
Yao, Jing; Dou, Zhicheng; Xu, Jun; Wen, Ji-Rong
29th International World Wide Web Conference, WWW 2020, Taipei, Taiwan, 2020-4-20 - 2020-4-24

Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random Fields
Jingxuan Yang; Kerui Xu; Jun Xu; Si Li; Sheng GAO; Jun Guo; Ji-Rong Wen; Nianwen Xue
Findings of ACL: EMNLP 2020, Online, 2020-11-16 · 论文链接

Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains
Yu, Weijie; Xu, Chen; Xu, Jun; Pang, Liang; Gao, Xiaopeng; Wang, Xiaozhao; Wen, Ji-Rong
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Online, 2020-11-16 · 论文链接

SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval
Pang, Liang; Xu, Jun; Ai, Qingyao; Lan, Yanyan; Cheng, Xueqi; Wen, Jirong
Proceedings of the 43rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2020, Virtual, Online, China, 2020-7-25-2020-7-30 · 论文链接

模仿排序学习模型
曾玮; 俞蔚捷; 徐君; 兰艳艳; 程学旗
中文信息学报, 2020, 34(01): 97-105

Deep Learning for Matching in Search and Recommendation
Xu, Jun; He, Xiangnan; Li, Hang
Foundations and Trends in Information Retrieval, 2020, 14(2-3): 102-288 · 论文链接

Reinforcement Learning to Rank with Pairwise Policy Gradient
Xu, Jun; Wei, Zeng; Xia, Long; Lan, Yanyan; Yin, Dawei; Cheng, Xueqi; Wen, Ji-Rong
Proceedings of the 43rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2020, Virtual, Online, China · 论文链接

Differentiated Distribution Recovery for Neural Text Generation
Li, Jianing ; Lan, Yanyan ; Guo, Jiafeng; Xu, Jun; Cheng, Xueqi
33rd AAAI Conference on Artificial Intelligence, 2019.1.27-2019.2.1

HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering
Pang, Liang ; Lan, Yanyan ; Guo, Jiafeng; Xu, Jun; Su, Lixin; Cheng, Xueqi
33rd AAAI Conference on Artificial Intelligence, 2019.1.27-2019.2.1

PSGAN: A Minimax Game for Personalized Search with Limited and Noisy Click Data
Shuqi Lu ; Zhicheng Dou; Jun Xu; Jian-Yun Nie; Ji-Rong Wen
The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019.7.21-2019.7.25

Teaching Machines to Extract Main Content for Machine Reading Comprehension
Li, Zhaohui ; Feng, Yue; Xu, Jun; Guo, Jiafeng; Lan, Yanyan; Cheng, Xueqi
33rd AAAI Conference on Artificial Intelligence, 2019.1.27-2019.2.1

Name Entity Recognition with Policy-Value Networks
Yadi Lao ; Jun Xu ; Sheng Gao; Jun Guo; Ji-Rong Wen
42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019), 2019.7.21-2019.7.25

Modeling the Parameter Interactions in Ranking SVM with Low-Rank Approximation
Jun Xu, Wei Zeng, Yanyan Lan, Jiafeng Guo, and Xueqi Cheng (2019)
IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 31: No. 6, pp 1181-1193.