徐君

教授

徐君，中国人民大学高瓴人工智能学院教授、长聘副教授，博士生导师。研究领域包括互联网搜索与智能推荐模型和系统，发表论文超过100篇、英文专著2本、中文教科书1本，部分研究成果多次被欧美学者写入信息检索教科书，应用于微软、华为、快手等公司的信息检索产品和开源系统。获SIGIR 2024 Best Paper Honorable Mention (full paper), SIGIR 2024 Best Paper Nominee (short paper)、SIGIR 2019 Test of Time Award Honorable Mention、ACM SIGIR-AP 2023 Best Paper Award、WWW 2023 spotlight / Best Paper Nominee 、CIKM 2017 Best Full Paper Runner-up、CCIR 2022, AIRS 2010和ICMLC 2005最佳论文奖，获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）。担任学术会议ACM SIGIR和NeurIPS领域主席，是学术期刊ACM TIST副主编和JASIST编委，主持国家重点研发项目/课题和国家自然科学基金面上项目。谷歌学术主页：https://scholar.google.com/citations?user=su14mcEAAAAJ ; 研究小组主页：https://ruc-iir-lab.github.io/

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教育经历

2001年 - 2006年南开大学博士
1997年 - 2001年南开大学本科

工作经历

2018年 - 至今中国人民大学教授、博导，中国人民大学杰出学者特聘教授
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

研究方向

信息检索，互联网搜索，机器学习，大数据分析

学生要求

学生能力培养目标：

(1) 科学素养培养：理解基本科学观点和科学探究过程，认识科学技术对人类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！

指导（包括联合指导）毕业的学生及去向：

1. 毕业博士：
* 俞蔚捷（对外经贸大学，助理教授）
* 杨婧璇（腾讯，腾讯大咖）
* 曾玮（百度）
* 夏龙（百度）
* 孙飞（阿里巴巴，阿里星）

2. 毕业硕士：
* 薄琳（兵器工业集团）
* 贾浩男、林浩东（进出口银行）
* 陈思睿（UIUC读博）
* 鲁宇婧（百度）
* 许珂瑞（字节跳动）
* 冯悦（伯明翰大学，讲师）
* 侯建鹏（谷歌）
* 郭天佑（英伟达）
* 何逸轩（百度）
* 李萍（腾讯）
* 朱海帆（谷歌）
* 劳雅迪（Apple）

3. 访问学生：
* 李朝辉（Pennsylvania State University，攻读博士）

教授课程

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）
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）

科研项目

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

学术论文

2024

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)

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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

The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP Findings)

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), Accepted

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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), Accepted

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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)

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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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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

荣誉奖励

SIGIR 2024 Best Paper Honorable Mention (full paper)
SIGIR 2024 Best Paper Nominee (short paper)
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-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, 2019
中国人民大学优秀科研成果奖（2020）
CIKM 2017 Best Full Paper Runner-up, 2017
CCF杰出演讲者（2017）
AIRS 2010 Best Paper Award, 2010
ICMLC 2005 Best Paper Award, 2005
微软学者（2005年）

社会兼职

期刊：ACM TIST（副主编）、JASIST（编委）
会议：Area Chair (SIGIR 2024, NeurIPS, NLPCC 2019, CCL 2018), PC co-chair (CCIR 2023), Publicity co-chair (CIKM 2020), Senior PC (SIGIR, WWW, AAAI, ACML等）
CCF高级会员、CCIR常务委员、CIPS青工委委员

联系

电话：--

邮箱：junxu(@)ruc.edu.cn

个人网页：https://ruc-iir-lab.github.io/

办公地址：中国人民大学立德楼1717