I have finished my Ph.D. in the Department of Computer Science at the University of California, Riverside. My advisor is Dr. Eamonn Keogh. Before I came to the United States, I spent my four-year undergraduate studies at Zhejiang University.

My research interests include data mining, machine learning, information retrieval and databases, especially on techniques for solving similarity and indexing problems in time-series datasets.

My work is being funded by the UCR Computational Anthropology Project.


Ph.D. (09/2006 - 06/2010)
Department of Computer Science, University of California Riverside. GPA 3.98/4.0.

Bachelor of Engineering (09/2002 - 06/2006)
Computer Science and Information Engineering, P.R. China. GPA 3.92/4.0.

Industry Experience

Research Intern (06/2008 - 09/2008)
Content Based Image Search, Data Insight Group, Nokia Research Center, Palo Alto.


Lexiang Ye and Eamonn Keogh.Time Series Shapelets: A New Primitive for Data Mining. SIGKDD'09, 947-956. [Dataset]

Lexiang Ye, Xiaoyue Wang, and Eamonn Keogh. Autocannibalistic and Anyspace Indexing Algorithms with Applications to Sensor Data Mining. In SIAM International Conference on Data Mining 2009, 85-96. [Dataset][Slides]

Taryn Rampley, Lexiang Ye, Eamonn Keogh, and Sang-Hee Lee. Automatic Construction of Typologies for Massive Collections of Projectile Points and other Cultural Artifacts..In the 37th Annual International Conference on Computer Applications and Quantitative Methods in Archeology (CAA).

Xiaoyue Wang, Lexiang Ye, Eamonn Keogh, and Christian Shelton. Annotating Historical Archives of Images. In JCDL 2008, 341-350. Runner-Up for Best Student Paper Award.

Lexiang Ye, Xiaoyue Wang, Dragomir Yankov, and Eamonn Keogh. The Asymmetric Approximate Anytime Join: A New Primitive with Applications to Data Mining. In SIAM International Conference on Data Mining 2008, 363-374. [Dataset]


2006-2008 UC Riverside, Dean's Fellowship

2009 KDD Student Travel Grant