2001年 - 2006年 南开大学 博士
1997年 - 2001年 南开大学 本科
2018年 - 至今 中国人民大学教授、博导
2014年 - 2018年 中国科学院计算技术研究所 研究员、博导；中国科学院大学 岗位教授
2012年 - 2014年 华为（香港）诺亚方舟实验室 资深研究员
2006年 - 2012年 微软亚洲研究院 副研究员
大模型增强的可信检索，搜索-推荐联合建模，AI+司法交叉研究
学生能力培养目标：
(1) 科学素养培养：理解基本科学观点和人类认识世界规律、进行科学探究的过程，认识科学技术对生活工作所产生的影响；
(2) 专业能力培养：培养学生的科学研究能力（论文阅读、工作调研、问题分析、方法设计、实验分析、论文写作等）、系统研发能力（编程、系统设计、项目管理），结合学生的特长和兴趣为学生制定不同的培养计划；
欢迎各位有意向攻读硕士或博士学位的同学报考！
人工智能与Python程序设计（本科）
大数据分析导论（本科）
新生研讨课-智能时代的搜索与推荐（本科）
数据科学导论（本科）
智能信息检索（研究生研讨课）
网络数据挖掘（研究生，国科大）
机器学习方法（研究生，中科院计算所）
国家重点研发计划项目：面向多元化纠纷化解的智能法律助理和类案分析系统关键技术研究；主持
国家重点研发计划课题：面向民航与金融核心风险度量和预测应用验证；主持
国家自然科学基金面上项目：“可信、可控、可持续”的智能信息检索模型研究；主持
国家自然科学基金面上项目：基于强化学习的信息检索排序模型研究；主持
北京智源人工智能研究院智能信息检索与挖掘方向项目：交互式信息检索；主持
中国人民大学新教师启动项目：面向网络搜索的强化排序学习模型研究；主持
企业合作：主持多项企业委托项目，合作伙伴包括华为、阿里、腾讯、快手等
开源系统：大数据分析系统EasyML https://github.com/ICT-BDA/EasyML，创始人
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)
2025
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)
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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)
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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)
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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)
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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
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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
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Beyond Guilt: Legal Judgment Prediction with Trichotomous Reasoning
Kepu Zhang, Haoyue Yang, Xu Tang, Weijie Yu, Jun Xu
EMNLP Findings 2025
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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
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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)
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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)
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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)
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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)
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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)
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CitaLaw: Enhancing LLM with Citations in Legal Domain
Kepu Zhang, Weijie Yu, Sunhao Dai, Jun Xu
ACL Findings (2025)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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%)
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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)
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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%)
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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)
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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.
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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.
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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.
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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
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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
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2024
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)
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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.
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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.
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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)
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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)
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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)
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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)
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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)
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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
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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)
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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)
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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)
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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)
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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)
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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)
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Effective In-Context Example Selection through Data Compression
ZhongXiang Sun, Kepu Zhang, Haoyu Wang, Xiao Zhang, Jun Xu
ACL Findings (2024)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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.
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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
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FairSync: Ensuring Amortized Group Exposure in Distributed Recommendation Retrieval
Chen Xu, Jun Xu, Yiming Ding, Xiao Zhang, Qi Qi
The ACM Web Conference 2024
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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
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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
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2023
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)
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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)
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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)
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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)
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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
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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)
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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
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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
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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)
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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
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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)
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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
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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)
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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)
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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
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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)
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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)
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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
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2022
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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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
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2021
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
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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.
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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
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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)
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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
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2020
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
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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
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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
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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
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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
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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
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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
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2019
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
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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
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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
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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
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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
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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.
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2018
Neighborhood Voting: A Novel Search Scheme for Hashing
Yan Xiao; Jiafeng Guo; Yanyan Lan; Jun Xu; Xueqi Cheng
The 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), 2018
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Question Headline Generation for News Articles
Ruqing Zhang ; Jiafeng Guo; Yixing Fan; Yanyan Lan; Jun Xu; Huanhuan Cao; Xueqi Cheng
The 27th ACM International Conference on Information and Knowledge Management (CIKM 2018)
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Multivariate Time Series Imputation with Generative Adversarial Networks
Luo, Yonghong ; Cai, Xiangrui; ZHANG, Ying ; Xu, Jun; Yuan, Xiaojie
Advances in Neural Information Processing Systems 31 (NIPS 2018), 2018.12.2-2018.12.8
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Spherical Paragraph Model
Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng
Advances in Information Retrieval, ECIR. . ECIR 2018, LNCS 10772, pp. 289–302, 2018
Aggregating Neural Word Embeddings for Document Representation
Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng
Advances in Information Retrieval, ECIR. . ECIR 2018, LNCS 10772, pp. 303–315, 2018
Modeling the correlations of relations for knowledge graph embedding
Jizhao Zhu, Yantao Jia, Jun Xu, Qiao Jianzhong, and Xueqi Cheng
Journal of Computer Science and Technology, Volume 33, Issue 2, pp. 323–334, Mar. 2018.
Reinforcing Coherence for Sequence to Sequence Model in Dialogue Generation
Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu, and Xueqi Cheng
Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI '18), Stockholm, Sweden, pp. 4567-4573, 2018.
Multi Page Search with Reinforcement Learning to Rank
Wei Zeng, Jun Xu, Yanyan Lan, Jiafeng Guo and Xueqi Cheng
Proceedings of the 4th ACM SIGIR Informational Conference on the Theory of Information Retrieval (ICTIR '18). (accepted, pdf). .
MQGrad: Reinforcement Learning of Gradient Quantization in Parameter Server
Guoxin Cui, Jun Xu, Wei Zeng, Yanyan Lan, Jiafeng Guo and Xueqi Cheng
Proceedings of the 4th ACM SIGIR Informational Conference on the Theory of Information Retrieval (ICTIR '18). (accepted, pdf). .
Tailored Sequence to Sequence Models for Different Conversation Scenarios
Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu, and Xueqi Cheng
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL '18), Melbourne, Australia, pp. 1479-1488, 2018.
Learning to Control the Specificity in Neural Response Generation
Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu, and Xueqi Cheng
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, Melbourne, Australia (ACL '18), Melbourne, Australia, pp. 1108-1117, 2018.
Modeling Diverse Relevance Patterns in Ad-hoc Retrieval
Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Chengxiang Zhai, and Xueqi Cheng
Proceedings of the 41st annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR '18), Ann Arbor, MI, USA, pp. 375-384, 2018.
Variance Reduction of Policy Gradient Bandit Problem via Antithetic Variates
Sihao Yu, Jun Xu, Yanyan Lan, Jiafeng Guo, and Xueqi Cheng
Proceedings of the 41st annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR '18), Ann Arbor, MI, USA, pp. 885-888, 2018.
From Greedy Selection to Exploratory Decision-Making: Diverse Ranking with Policy-Value Networks
Yue Feng, Jun Xu, Yanyan Lan, Jiafeng Guo, Wei Zeng, and Xueqi Cheng
In Proceedings of the 41st annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR 2018), Ann Arbor, MI, USA, pp. 125-134, 2018.
2017
Locally Smoothed Neural Networks
Liang Pang, Yanyan Lan, Jun Xu, Jiafeng Guo, and Xueqi Cheng
Proceedings of the 9th Asian Conference on Machine Learning (ACML ’17), Seoul, Korea, pp. 177-191, 2017.
Directly Optimize Diversity Evaluation Measures: a New Approach to Search Result Diversification
Jun Xu, Long Xia, Yanyan Lan, Jiafeng Guo, and Xueqi Cheng
ACM Transactions on Intelligent Systems and Technology (TIST), Volume 8, Issue 3, Article 41, pp. 41:1-41:26, Jan. 2017.
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DeepRank: a New Deep Architecture for Relevance Ranking in Information Retrieval
Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, and Xueqi Cheng
Proceedings of the 26th ACM International Conference on Information and Knowledge Management (CIKM '17), Singapore, pp. 257-266, 2017.
Learning Visual Features from Snapshots for Web Search
Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, and Xueqi Cheng
Proceedings of the 26th ACM International Conference on Information and Knowledge Management (CIKM '17), Singapore, pp. 247-256, 2017. (CIKM 2017 Best Full Paper Runner-up, pdf).
Reinforcement Learning to Rank with Markov Decision Process
Wei Zeng, Jun Xu, Yanyan Lan, Jiafeng Guo, and Xueqi Cheng
Proceedings of the 40th annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR '17), Shinjuku, Tokyo, Japan, pp. 945-948, 2017. Short paper.
Adapting Markov Decision Process for Search Result Diversification
Long Xia, Jun Xu, Yanyan Lan, Jiafeng Guo, Wei Zeng, and Xueqi Cheng
Proceedings of the 40th annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR '17), Shinjuku, Tokyo, Japan, pp. 535-544, 2017.
Directly Optimize Diversity Evaluation Measures: a New Approach to Search Result Diversification
Jun Xu, Long Xia, Yanyan Lan, Jiafeng Guo, and Xueqi Cheng
ACM Transactions on Intelligent Systems and Technology (TIST), Vol. 8: No. 3, Article 41, pp 41:1-41:26.
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2016
Factorizing Sequential and Historical Purchase Data for Basket Recommendation
Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng
Proceedings of the 12th Asia Information Retrieval Societies Conference (AIRS 2016), Beijing, China, pp. 237-248, 2016.
Incorporating Semantic Knowledge into Latent Matching Model in Search
Shuxin Wang, Xin Jiang, Hang Li, Jun Xu, Bin Wang
Proceedings of the 12th Asia Information Retrieval Societies Conference (AIRS 2016), Beijing, China, pp. 29-41, 2016.
Multi-task Representation Learning for Demographic Prediction
Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, and Xueqi Cheng
Proceedings of the 37th European Conference on Information Retrieval (ECIR '16), Padua, Italy, pp. 88-99, 2016.
Your Cart tells You: Inferring Demographic Attributes from Purchase Data
Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, and Xueqi Cheng
Proceedings of the 9th ACM International Conference on Web Search and Data Mining (WSDM '16), San Francisco, USA, pp. 173-182, 2016.
SPAN: Understanding a Question with its Support Answers
Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, and Xueqi Cheng
Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI '16), Phoenix, Arizona USA, pp. 4250-4251, 2016. poster.
Inside Out: Two Jointly Predictive Models for Word Representations and Phrase Representations
Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, and Xueqi Cheng
Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI '16), Phoenix, Arizona USA, pp. 2821-2827, 2016.
A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations
Shengxian Wan, Yanyan Lan, Jiafeng Guo, Jun Xu, and Xueqi Cheng
Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI '16), Phoenix, Arizona USA, pp. 2835-2841, 2016.
Text Matching as Image Recognition
Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, and Xueqi Cheng
Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI '16), Phoenix, Arizona USA, pp. 2793-2799, 2016.
Sparse Word Embeddings Using l1 Regularized Online Learning
Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, and Xueqi Cheng
Proceedings of the 25th International Joint Conference on Artificial Intelligence. (IJCAI '16), New York, USA, pp. 2915-2921, 2016.
Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN
Shengxian Wan, Yanyan Lan, Jun Xu, Jiafeng Guo, Liang Pang, Xueqi Cheng
Proceedings of the 25th International Joint Conference on Artificial Intelligence . (IJCAI '16), New York, USA, pp. 2922-2928, 2016.
A Study of MatchPyramid Models on Ad-hoc Retrieval
Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng
Proceedings of the SIGIR 2016 Workshop on Neural Information Retrieval (Neu-IR), Pisa, Italy, 2016.
Modeling Document Novelty with Neural Tensor Network for Search Result Diversification
Long Xia, Jun Xu, Yanyan Lan, Jiafeng Guo, and Xueqi Cheng
Proceedings of the 39th annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR '16), Pisa, Italy, pp. 395-404, 2016. (pdf, source code).
Ease the Process of Machine Learning with Dataflow
Tianyou Guo, Jun Xu, Xiaohui Yan, Jianpeng Hou, Ping Li, Zhaohui Li, Jiafeng Guo, and Xueqi Cheng
Proceedings of the 25th ACM International Conference on Information and Knowledge Management (CIKM '16), Indianapolis, USA, pp. 2437-2440, 2016. Demo paper. (pdf, demo)
2015
A Probabilistic Model for Bursty Topic Discovery in Microblogs
Xiaohui Yan, Jiafeng Guo, Yanyan Lan, Jun Xu, and Xueqi Cheng
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI '15), Austin Texas, USA, pp. 353-359, 2015.
Learning Word Representations by Jointly Modeling Syntagmatic and Paradigmatic Relations
Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, and Xueqi Cheng
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference of the Asian Federation of Natural Language Processing (ACL-IJCNLP '15), Beijing, China, pp. 136-145, 2015.
Learning Hierarchical Representation Model for Next Basket Recommendation
Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Shengxian Wan, and Xueqi Cheng
Proceedings of the 38th annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR '15), Santiago, Chile, pp. 403-412, 2015. (pdf, source code and data).
Learning Maximal Marginal Relevance Model via Directly Optimizing Diversity Evaluation Measures
Long Xia, Jun Xu, Yanyan Lan, Jiafeng Guo, and Xueqi Cheng
Proceedings of the 38th annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR '15), Santiago, Chile, pp. 113-122, 2015. (pdf, source code).
Modeling Parameter Interactions in Ranking SVM
Yaogong Zhang, Jun Xu, Yanyan Lan, Jiafeng Guo, Maoqiang Xie, Yalou Huang, and Xueqi Cheng
Proceedings of the 24th ACM International Conference on Information and Knowledge Management (CIKM '15), Melbourne, Australia pp. 1799-1802, 2015. short paper. (pdf, poster)
Next Basket Recommendation with Neural Networks
Shengxian Wan, Yanyan Lan, Pengfei Wang, Jiafeng Guo, Jun Xu, and Xueqi Cheng
Proceedings of the 9th ACM Conference on Recommender Systems (RecSys '15), Vienna, Austria, 2015. poster.. .
2014
User Message Model: A New Approach to Scalable User Modeling on Microblog
Quan Wang, Jun Xu, and Hang Li
Proceedings of the Tenth Asia Information Retrieval Societies Conference (AIRS '14), Kuching, Malaysia, pp. 209-220, 2014.
Ranking Optimization with Constraints
Fangzhao Wu, Jun Xu, Hang Li, and Xin Jiang
Proceedings of the 23rd ACM Conference on Information and Knowledge Management (CIKM '14), Shanghai, China, pp. 1049-1058, 2014.
Semantic Matching in Search
Hang Li and Jun Xu (2014)
Foundations and Trends in Information Retrieval: Vol. 7: No. 5, pp 343-469.
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链接： 链接
2013
Learning query and document similarities from click-through bipartite graph with metadata
Wei Wu, Hang Li, and Jun Xu
Proceedings of the sixth ACM international conference on Web search and data mining (WSDM '13), Rome, Italy, pp. 687-696, 2013.
Regularized Latent Semantic Indexing: A New Approach to Large Scale Topic Modeling
Quan Wang, Jun Xu, Hang Li, and Nick Craswell (2013)
ACM Transactions on Information System (TOIS), Vol. 31: No. 1, Article 5, pp 5:1-5:44.
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2012
Group Matrix Factorization for Scalable Topic Modeling
Quan Wang, Zheng Cao, Jun Xu, and Hang Li
In Proceedings of the 35th annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR 2012), Portland, Oregon, USA, pp. 375-384, 2012.
2011
Regularized Latent Semantic Indexing
Quan Wang, Jun Xu, Hang Li, and Nick Craswell
Proceedings of the 34th annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR '11), Beijing China, pp. 685-694, 2011. (pdf, source code).
A Kernel Approach to Addressing Term Mismatch
Jun Xu, Wei Wu, Hang Li, and Gu Xu
In Proceedings of the 20th international conference companion on World Wide Web (WWW 2011), Hyderabad India, pp. 153-154, 2011. (poster)
Regularized Latent Semantic Indexing
Quan Wang, Jun Xu, Hang Li, and Nick Craswell
In Proceedings of the 34th annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR 2011), Beijing China, pp. 685-694, 2011.
Learning Robust Relevance Model for Search using Kernel Method
Wei Wu, Jun Xu, Hang Li, and Satoshi Oyama (2011)
Journal of Machine Learning Research (JMLR), Vol. 12: pp 1429-1458.
2010
LETOR: A Benchmark Collection for Research on Learning to Rank for Information Retrieval
Tao Qin, Tie-Yan Liu, Jun Xu, and Hang Li
Information Retrieval Journal, 2010.
Relevance Ranking using Kernels
Jun Xu, Hang Li, and Chaoliang Zhong
Proceedings of the 6th Asia Information Retrieval Societies Conference (AIRS '10), Taipei, Taiwan, pp. 1-12, 2010.
2008
Directly Optimizing Evaluation Measures in Learning to Rank
Jun Xu, Tie-Yan Liu, Min Lu, Hang Li, and Wei-Ying Ma
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR '08), Singapore, pp. 107-114, 2008.
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How to Make LETOR More Uwseful and Reliable
Tao Qin, Tie-Yan Liu, Jun Xu, and Hang Li
Proceedings of SIGIR 2008 Workshop on Learning to Rank for Information Retrieval (LR4IR '08), Singapore, pp. 52-58, 2008.
Group-based Learning: A Boosting Approach
Weijian Ni, Jun Xu, Hang Li, and Yalou Huang
Proceedings of the 17th ACM Conference on Information and Knowledge Management (CIKM '08), Napa Valley, California, pp. 1443-1444, 2008.
Directly Optimizing Evaluation Measures in Learning to Rank
Jun Xu, Tie-Yan Liu, Min Lu, Hang Li, and Wei-Ying Ma
In Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR 2008), Singapore, pp. 107-114, 2008.
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2007
Searching Documents Based on Relevance and Type
Jun Xu, Yunbo Cao, Hang Li, Nick Craswell, and Yalou Huang
Proceedings of the 29th European Conference on Information Retrieval (ECIR '07), Rome, Italy, pp. 629-636, 2007.
LETOR: Benchmarking Learning to Rank for Information Retrieval
Tie-Yan Liu, Jun Xu, Tao Qin, Wenying Xiong, and Hang Li
Proceedings of SIGIR 2007 Workshop on Learning to Rank for Information Retrieval (LR4IR '07), Amsterdam, The Netherlands, pp. 3-10, 2007.
AdaRank: A Boosting Algorithm for Information Retrieval
Jun Xu and Hang Li
Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR '07), Amsterdam, The Netherlands, pp. 391-398, 2007.
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2006
Using SVM to Extract Acronyms from Text
Jun Xu and Ya-lou Huang
Soft Computing - A Fusion of Foundations, Methodologies and Applications, Springer Berlin Heidelberg, Volume 11, Issue 4, pp. 369-373, 2006.
A Supervised Learning Approach to Search of Definitions
Jun Xu, Yunbo Cao, Hang Li, Min Zhao, and Yalou Huang
Journal of Computer Science and Technology (JCST), Vol. 21(3), pp. 439-449, 2006.
Adapting ranking SVM to document retrieval
Yunbo Cao, Jun Xu, Tie-Yan Liu, Hang Li, Yalou Huang, and Hsiao-Wuen Hon
Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR '06), Seattle, Washington, USA, pp. 186-193, 2006.
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Cost-sensitive Learning of SVM for Ranking
Jun Xu, Yunbo Cao, Hang Li, and Yalou Huang
Proceedings of the 17th European Conference on Machine Learning (ECML '06), Berlin, Germany, pp. 833-840, 2006.
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2005
A Machine Learning Approach to Recognizing Acronyms and Their Expansions
Jun Xu and Ya-lou Huang
Proceedings of the 4th International Conference on Machine Learning and Cybernetics (ICMLC '05), Guangzhou, China, Vol. 4, pp. 2313-2319, 2005.
Ranking Definitions with Supervised Learning Methods
Jun Xu, Yunbo Cao, Hang Li, and Min Zhao
Proceedings of the 14th International World Wide Web Conference (WWW '05), Industrial and Practical Experience Track, Chiba, Japan, pp. 811-819, 2005.
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A New Approach to Intranet Search Based on Information Extraction
Hang Li, Yunbo Cao, Jun Xu, Yunhua Hu, Shenjie Li, and Dmitriy Meyerzon
Proceedings of the 14th ACM international conference on Information and knowledge management (CIKM '05), industry track, Bremen, Germany
教育部自然科学一等奖（排名第4）
北京市自然科学奖二等奖（排名第2）
SIGIR 2024 Best Paper Honorable Mention (full paper)
SIGIR 2024 Best Paper Nominee (short paper)
SIGIR- AP 2024 Best Paper Award
SIGIR-AP 2023 Best Paper Award
WWW 2023 Spotlight论文/Best Paper Nominee
CCIR 2022最佳论文奖
SIGIR 2019 Test of Time Award Honorable Mention
CIKM 2017 Best Full Paper Runner-up
期刊：ACM TIST（副主编）、JASIST（编委）
会议：Area Chair (SIGIR NeurIPS AAAI) PC co-chair (CCIR 2023) Publicity co-chair (CIKM 2020)
CCF高级会员、CIPS 会员、CCIR常务委员、CIPS青工委委员、创新人才研究会理事
邮箱：junxu(@)ruc.edu.cn
个人网页：https://ruc-iir-lab.github.io/