I am a researcher of the Information Retrieval and Mining Group at Microsoft Research Asia.

I received B.S. and Ph.D. in computer science from the University of Science and Technology of China and the State University of New York at Buffalo, respectively. Before joining Microsoft, I was an assistant professor at Nanyang Technological University, Singapore.

My current research interests include data mining and information retrieval. In particular, I am interested in developing search applications using massive log data. Recently, I have been working on context-aware search and OLAP on search logs. Prior to joining Microsoft, I worked in Bioinfomatics, particularly, exploring gene expression patterns, mining protein-protein interaction data, and jointly mining various biological data sources.

Contact Information

Microsoft Research Asia, 4F Sigma Building
No. 49 Zhichun Road, Haidian District, Beijing, China 100090
Email: djiang [at] microsoft [dot] com
Tel: +86 (10) 5896 3321   Fax: +86 (10) 8809 7306

Publications on Log Mining and Web Search

• Bin Zhou*, Daxin Jiang, Jian Pei, Hang Li, OLAP on Search Logs: An Infrastructure Supporting Data-Driven Applications in Search Engines. KDD'09, 1395-1404.
• Huanhuan Cao*, Derek Hao Hu, Dou Shen, Daxin Jiang, Jian-Tao Sun, Enhong Chen, Qiang Yang, Context-Aware Query Classification. SIGIR'09, 3-10.
• Huanhuan Cao*, Daxin Jiang, Jian Pei, Enhong Chen, Hang Li, Towards Context-aware Search by Learning a Very Large Variable Length Hidden Markov Model from Search Logs. WWW'09, 191-200.
• Qi He*, Daxin Jiang, Zhen Liao*, Steven C. H. Hoi, Kuiyu Chang, Ee-Peng Lim, Hang Li, Web Query Recommendation via Sequential Query Prediction. ICDE'09, 1443-1454.
• Huanhuan Cao*, Daxin Jiang, Jian Pei, Qi He*, Zhen Liao*, Enhohng Chen, Hang Li, Context-Aware Query Suggestion by Mining Click-Through and Session Data. KDD'08, 875-883. SIGKDD’08 Best Application Paper Award.

    *Bin Zhou, Huanhuan Cao, Qi He, and Zhen Liao were interns I mentored at MSRA.

Selected Publications on Bioinformatics

• Daxin Jiang, Jian Pei, Mining Frequent Cross-Graph Quasi-Cliques. TKDD 2(4): (2009).
• Daxin Jiang, Jian Pei, Murali Ramanathan, Chuan Lin, Chun Tang, Aidong Zhang, Mining Gene-Sample-Time Microarray Data: A Coherent Gene Cluster Discovery Approach. Knowl. Inf. Syst. 13(3): 305-335 (2007).
• Jian Pei, Daxin Jiang, Aidong Zhang, Mining Cross-Graph Quasi-Cliques in Gene Expression and Protein Interaction Data. ICDE'05, 353-354.
• Jian Pei, Daxin Jiang, Aidong Zhang, On Mining Cross-Graph Quasi-Cliques. KDD'05,228-238.
• Daxin Jiang, Jian Pei, Aidong Zhang, An Interactive Approach to Mining Gene Expression Data. IEEE Trans. Knowl. Data Eng. 17(10): 1363-1378 (2005).
• Daxin Jiang, Jian Pei, Murali Ramanathan, Chun Tang, Aidong Zhang, Mining Coherent Gene Clusters from Gene-Sample-Time Microarray Data. KDD'04, 430-439. Runner-up for SIGKDD’04 Best Application Paper Award.
• Daxin Jiang, Jian Pei, Aidong Zhang, GPX: Interactive Mining of Gene Expression Data. VLDB'04, 1249-1252.
• Daxin Jiang, Chun Tang, Aidong Zhang, Cluster Analysis for Gene Expression Data: A Survey. IEEE Trans. Knowl. Data Eng. 16(11): 1370-1386 (2004).
• Daxin Jiang, Jian Pei, Aidong Zhang, Interactive Exploration of Coherent Patterns in Time-Series Gene Expression Data. KDD'03, 565-570.
• Daxin Jiang, Jian Pei, Aidong Zhang, Towards Interactive Exploration of Gene Expression Patterns. SIGKDD Explorations 5(2): 79-90 (2003).