Basic Information
Wen Jirong (Professor)
Address: Associate Dean (Recruits)
Email:jirong.wen@gmail.com, jrwen@ruc.edu.cn
Office Phone Number: 010-85203315
Details
MAIN RESEARCH

Web big data management, information retrieval (especially Web search), data mining and machine learning. Particularly interested in interdisciplinary research and developing massive data management systems.

PROJECT


PUBLICATION

Zaiqing Nie, Ji-Rong Wen and Wei-Ying Ma, Statistical Entity Extraction From the Web, Proceedings of the IEEE 100(9): 2675-2687 (2012)
Yang Liu, Ruihua Song, Yu Chen, Jian-Yun Nie and Ji-Rong Wen, Adaptive Query Suggestion for Difficult Queries, SIGIR 2012
Wei Song, Qing Yu, Zhiheng Xu, Ting Liu, Sheng Li and Ji-Rong Wen, Multi-Aspect Query Summarization by Compositing Query, SIGIR 2012
Iwata, M., Sakai, T., Yamamoto, T., Chen, Y., Liu, Y., Ji-Rong Wen and Nishio, S., AspecTiles: Tile-based Visualization of Diversified Web Search Results, SIGIR 2012
Zhicheng Dou, Sha Hu, Yulong Luo, Ruihua Song, Ji-Rong Wen: Finding dimensions for queries, CIKM 2011
Zhicheng Dou, Sha Hu, Kun Chen, Ruihua Song, Ji-Rong Wen: Multi-dimensional search result diversification. WSDM 2011
Xiaojiang Liu, Zaiqing Nie, Nenghai Yu, Ji-Rong Wen: BioSnowball: automated population of Wikis. SIGKDD 2010
Zhicheng Dou, Ruihua Song, Jian-Yun Nie, Ji-Rong Wen, Using Anchor Texts with Their Hyperlink Structure for Web Search. SIGIR 2009
Huibin Zhang, Mingjie Zhu, Shuming Shi, Ji-Rong Wen, Employing Topic Models for Pattern-based Semantic Class Discovery. ACL 2009
Jun Zhu, Zaiqing Nie, Xiaojiang Liu, Bo Zhang, Ji-Rong Wen, StatSnowball: a Statistical Approach to Extracting Entity Relationships, WWW 2009
Jun Zhu, Zaiqing Nie, Bo Zhang, Ji-Rong Wen, Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction. In the Journal of Machine Learning Research (JMLR), 9(Jul):1583--1614, 2008
Jun Zhu, Zaiqing Nie, Ji-Rong Wen, Bo Zhang and Hsiao-Wuen Hon, Webpage Understanding: An Integrated Approach, The 13th International Conference on Knowledge Discovery and Data Mining, SIGKDD 2007
Shuyi Zheng, Ruihua Song, Di Wu and Ji-Rong Wen, Joint Optimization of Wrapper Generation and Template Detection, The 13th International Conference on Knowledge Discovery and Data Mining, SIGKDD 2007
Ji-Rong Wen and Wei-Ying Ma, Webstudio: Building Infrastructure for Web Data Management. SIGMOD 2007 (industrial paper)
Zaiqing Nie, Ji-Rong Wen and Wei-Ying Ma, Object-level Vertical Search, The Third Biennial Conference on Innovative Data Systems Research, CIDR 2007
Zhicheng Dou, Ruihua Song, and Ji-Rong Wen. A Large-scale Evaluation and Analysis of Personalized Search Strategies, The 16th international World Wide Web conference, WWW 2007
Zaiqing Nie, Yunxiao Ma, Shuming Shi, Ji-Rong Wen and Wei-Ying Ma, Web Object Retrieval, The 16th international World Wide Web conference, WWW 2007
Jun Zhu, Zaiqing Nie, Ji-Rong Wen, Bo Zhang and Wei-Ying Ma, Simultaneous Record Detection and Attribute Labeling in Web Data Extraction, SIGKDD 2006
Ping Wu, Ji-Rong Wen, Huan Liu and Wei-Ying Ma, Query Selection Techniques for Efficient Structured Web Source Crawling, The 22nd International Conference on Data Engineering (ICDE 2006), April 3-7, Atlanta, GA, 2006
Jun Zhu, Zaiqing Nie, Ji-Rong Wen, Bo Zhang and Wei-Ying Ma, 2D Conditional Random Fields for Web Information Extraction, The 22nd International Conference on Machine Learning (ICML 2005), Bonn, Germany, August, 2005
Shuming Shi, Ji-Rong Wen, Qing Yu, Ruihua Song and Wei-Ying Ma, Gravitation-Based Model for Information Retrieval, The 28th Annual International ACM SIGIR Conference (SIGIR 2005), August 2005
Zaiqing Nie, Yuanzhi Zhang, Ji-Rong Wen and Wei-Ying Ma, Object-Level Ranking: Bringing Order to Web Objects, WWW 2005
Jiying Wang, Ji-Rong Wen, Fred Lochovsky and Wei-Ying Ma, Instance-based Schema Matching for Web Databases by Domain-specific Query Probing, VLDB 2004
Ji-Rong Wen, Ni Lao and Wei-Ying Ma, Probabilistic Model for Contextual Retrieval, SIGIR 2004
Deng Cai, Shipeng Yu, Ji-Rong Wen and Wei-Ying Ma, Block-based Web Search, SIGIR 2004
Deng Cai, Xiaofei He, Ji-Rong Wen and Wei-Ying Ma, Block-Level Link Analysis, SIGIR 2004
Ruihua Song, Haifeng Liu, Ji-Rong Wen and Wei-Ying Ma, Learning Block Importance Models for Web Pages, WWW 2004
Cong Li, Ji-Rong Wen and Hang Li, Text Classification Using Stochastic Keyword Generation, The Twentieth International Conference on Machine Learning (ICML 2003)
Shipeng Yu, Deng Cai, Ji-Rong Wen and Wei-Ying Ma, Improving Pseudo-Relevance Feedback in Web Information Retrieval Using Web Page Segmentation, WWW 2003
Hang Cui, Ji-Rong Wen, Jian-Yun Nie and Wei-Ying Ma, Query Expansion by Mining User Logs, IEEE Transaction on Knowledge and Data Engineering, Vol. 15, No. 4, pp. 829-839, July/August 2003
Hang Cui, Ji-Rong Wen, Jian-Yun Nie and Wei-Ying Ma, Probabilistic Query Expansion using Query Logs, WWW 2002
Ji-Rong Wen, Jian-Yun and Hong-Jiang Zhang, Query Clustering Using User Logs, ACM Transactions on Information Systems (ACM TOIS), 20(1), 59-81, January, 2002
Ji-Rong Wen, Jian-Yun Nie and Hong-Jiang Zhang, Clustering User Queries of a Search Engine, Proceeding of the Tenth World Wide Web conference (WWW10), 162-168, Hong Kong, May, 2001
See More:
http://scholar.google.co.jp/citations?user=tbxCHJgAAAAJ&hl=en
http://academic.research.microsoft.com/Author/368506/ji-rong-wen
http://www.informatik.uni-trier.de/~ley/db/indices/a-tree/w/Wen:Ji=Rong.html

WORKING EXPERIENCE

After receiving Ph.D. degree, he joined Microsoft Research Asia (MSRA) as a researcher. He was a senior researcher and group manager of the Web Search and Mining Group at MSRA since 2008. In the 14 years at MSRA, he has filed 50+ U.S. patents in Web search and related areas. Many of his research results have been integrated into important Microsoft products (e.g. Bing). His group has developed influential Web applications such as Microsoft Academic Search (http://academic.research.microsoft.com), Renlifang (http://renlifang.msra.cn/), Microsoft Product Search, etc. He has published extensively on prestigious international conferences and journals.

RESEARCH RESULTS AND THE AWARD