Jun Xu

Professor

Jun Xu is a Professor at Gaoling School of Artificial Intelligence, Renmin University of China. He received his B.E. and Ph.D. in Computer Science from Nankai University, in 2001 and 2006, respectively. He worked as an associate researcher, researcher, and professor at Microsoft Research Asia, Huawei Noah's Ark Lab, and Institute of Computing Technology, Chinese Academy of Sciences. He joined Renmin University of China in Sep. 2018. His research interests focus on applying machine learning to information retrieval and recommendation. He has published more than 80 papers and 2 monographs at top international journals and conferences, including TKDE, TOIS, JMLR, FnTIR, SIGIR, CIKM, ACL, EMNLP etc. His work on information retrieval has received the Test of Time Award Honorable mention of ACM SIGIR 2019, Best Paper Runner-up of ACM CIKM 2017, and Best Paper Award of AIRS 2010. He has served or is serving top international conferences as Senior PC members, including SIGIR, ACML, CIKM, AAAI, and top international journal of JASIST as an editorial board member, and ACM TIST as an associate editor. He has given tutorials at top conferences like SIGIR, WSDM, TheWebConf (WWW) on the topic of deep learning for semantic matching in search and recommendation.

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Education

Ph. D. in Computer Science, College of Information Science and Technology, Nankai University Tianjin, China, 2001 - 2006
B. S. in Computer Science, College of Information Science and Technology, Nankai University Tianjin, China, 1997 - 2001

Work Experience

Professor, School of Information, Renmin University of China Beijing, China, 2018 -
Researcher & Professor, Institute of Computing Technology, Chinese Academy of Sciences Beijing, China, 2014 - 2018
Researcher and Senior Researcher, Noah's Ark Lab, Huawei Technologies Hong Kong SAR, China, 2012 - 2014
Associate Researcher, Microsoft Research Asia (MSRA) Beijing, China, 2006 – 2012

RESEARCH INTERESTS

His research interests span the areas of intelligent information retrieval, recommender systems, and big data analysis. He has specific interests in reinforcement learning to rank, deep learning for semantic matching and relevance ranking, and casual inference in IR.

Teaching

Artificial Intelligence with Python Programming Langauge
Introduction to big data analysis
Intelligent Information Retrieval

PUBLICATIONS

2025

CitaLaw: Enhancing LLM with Citations in Legal Domain

Kepu Zhang, Weijie Yu, Sunhao Dai, Jun Xu

ACL Findings (2025)

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)

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)

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)

Trustworthy Process Rewarding for Retrieval-Augmented Reasoning

Zhongxiang Sun, Qipeng Wang, Weijie Yu, Xiaoxue Zang, Kai Zheng, Jun Xu, Xiao Zhang, Yang Song and Han Li