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

2021
Adapting User Preference to Online Feedback in Multi-round Conversational Recommendation (Download )
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
LINKS: 链接

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

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

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

A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech (Download )
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

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

Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random Fields (Download )
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
LINKS: 链接

Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains (Download )
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
LINKS: 链接

SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval (Download )
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
LINKS: 链接

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

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

Reinforcement Learning to Rank with Pairwise Policy Gradient (Download )
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
LINKS: 链接

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

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

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

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

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

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

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

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)

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

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. (pdf, appendix)

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 (2017)
ACM Transactions on Intelligent Systems and Technology (TIST), Vol. 8: No. 3, Article 41, pp 41:1-41:26.

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.

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.

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.

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.

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.

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.

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.

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.

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

Honors and Awards

  • SIGIR 2019 Test of Time Awards Honorable Mention
  • CIKM 2017 Best Full Paper Runner-up
  • AIRS 2010 Best Paper Awards

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

Contact

Tel:

Email:junxu@ruc.edu.cn

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

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