FACULTY & RESEARCH

Jun Xu
Tenured Associate Professor
Jun Xu 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 senior researcher at Microsoft Research Asia and Huawei Noah's Ark Lab. He joined Renmin University of China in 2018. His research interests include information retrieval, machine learning, and big data analysis.

Personal Homepage: https://scholar.google.com/citations?user=su14mcEAAAAJ

Detailed Information

Education

College of Information Science and Technology, Nankai University Tianjin, China

Ph. D. in Computer Science 2001 - 2006

College of Information Science and Technology, Nankai University Tianjin, China

B. S. in Computer Science 1997 - 2001


Professional Experience

School of Information, Renmin University of China Beijing, China

Professor 2018 -

Institute of Computing Technology, Chinese Academy of Sciences Beijing, China

Researcher & Professor 2014 - 2018

Noah's Ark Lab, Huawei Technologies Hong Kong SAR, China

Researcher 2012 - 2014

Microsoft Research Asia (MSRA) Beijing, China

Associate Researcher 2006 – 2012


Research Interests

His research interests span the areas of web search, recommender system, and big data analysis.

He has specific interests in reinforcement learning to rank and deep semantic matching, and their

applications in IR, recommendation, and NLP.


Publications

Monograph

Hang Li and Jun Xu (2014), Semantic Matching in Search, Foundations and Trends in Information

Journals

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

[2] Jun Xu, Long Xia, Yanyan Lan, Jiafeng Guo, and Xueqi Cheng (2017). Directly Optimize Diversity Evaluation Measures: a New Approach to Search Result Diversification. ACM Transactions on Intelligent Systems and Technology (TIST), Vol. 8: No. 3, Article 41, pp 41:1-41:26.

[3] Quan Wang, Jun Xu, Hang Li, and Nick Craswell (2013). Regularized Latent Semantic Indexing: A New Approach to Large Scale Topic Modeling. ACM Transactions on Information System (TOIS), Vol. 31: No. 1, Article 5, pp 5:1-5:44.

[4] Wei Wu, Jun Xu, Hang Li, and Satoshi Oyama (2011). Learning Robust Relevance Model for Search using Kernel Method. Journal of Machine Learning Research (JMLR), Vol. 12: pp 1429-1458.


Conference

[1] Yue Feng, Jun Xu, Yanyan Lan, Jiafeng Guo, Wei Zeng, and Xueqi Cheng. From Greedy Selection to Exploratory Decision-Making: Diverse Ranking with Policy-Value Networks. 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.

[2] Long Xia, Jun Xu, Yanyan Lan, Jiafeng Guo, Wei Zeng, and Xueqi Cheng. Adapting Markov Decision Process for Search Result Diversification. In Proceedings of the 40th annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR 2017), Shinjuku, Tokyo, Japan, pp. 535-544, 2017.

[3] Long Xia, Jun Xu, Yanyan Lan, Jiafeng Guo, and Xueqi Cheng. Modeling Document Novelty with Neural Tensor Network for Search Result Diversification. In Proceedings of the 39th annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR 2016), Pisa, Italy, pp. 395-404, 2016.

[4] Long Xia, Jun Xu, Yanyan Lan, Jiafeng Guo, and Xueqi Cheng. Learning Maximal Marginal Relevance Model via Directly Optimizing Diversity Evaluation Measures. In Proceedings of the 38th annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR 2015), Santiago, Chile, pp. 113-122, 2015.

[5] Quan Wang, Zheng Cao, Jun Xu, and Hang Li. Group Matrix Factorization for Scalable Topic Modeling. 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.

[6] Quan Wang, Jun Xu, Hang Li, and Nick Craswell. Regularized Latent Semantic Indexing. 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.

[7] Jun Xu, Wei Wu, Hang Li, and Gu Xu. A Kernel Approach to Addressing Term Mismatch. In Proceedings of the 20th international conference companion on World Wide Web (WWW 2011), Hyderabad India, pp. 153-154, 2011. (poster)

[8] Jun Xu, Tie-Yan Liu, Min Lu, Hang Li, and Wei-Ying Ma. Directly Optimizing Evaluation Measures in Learning to Rank. In Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR 2008), Singapore, pp. 107-114, 2008.

[9] Jun Xu and Hang Li. AdaRank: A Boosting Algorithm for Information Retrieval. In Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR 2007), Amsterdam, The Netherlands, pp. 391-398, 2007.

(SIGIR Test of Time Award Honorable Mention)

[10] Yunbo Cao, Jun Xu, Tie-Yan Liu, Hang Li, Yalou Huang, and Hsiao-Wuen Hon. Adapting ranking SVM to document retrieval. In Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR 2006), Seattle, pp. 186-193, 2006.

[11] Jun Xu, Yunbo Cao, Hang Li, and Min Zhao. Ranking Definitions with Supervised Learning Methods. In Proceedings of the 14th International World Wide Web Conference (WWW 2005), Chiba, Japan, pp. 811-819, 2005.


Services

_ Publicity co-chair - CIKM 2020

_ Associate Editor - ACM Transactions on Intelligent Systems and Technology (TIST)

_ Editorial board member - Journal of the Association for Information Science and Technology (JASIST)

_ Reviewer (Journals) - TOIS, JMLR, TIST, TKDE, TACL, TALIP, JCST, JOS, Artificial Intelligence, FnTIR, Springer

_ PC co-chair (Workshops) - SIGIR 2014 workshop on SMIR

_ Area co-chair (Conferences) - CCL 2018, NLPCC 2019

_ Best Paper Awards Committee (Conference) - ICTIR 2019

_ Senior PC (Conferences) - SIGIR, TheWebConf, AAAI, ACML

_ PC (Conferences) - NeurIPS, IJCAI, ACL, EMNLP, CIKM, WSDM, IEEE BigData, ECIR


Top