Li Yang Professor
	Department of Computer Science College of Engineering and Applied Sciences Western Michigan University Parkview Campus Kalamazoo, MI 49008-5466	Office: B-248 Engineering Building Voice: (269) 276-3128 Fax: (269) 276-3122 E-mail: yang AT cs.wmich.edu, li.yang AT wmich.edu Home page: http://www.cs.wmich.edu/~yang

Research

My research focuses on exploration of large relational data, manifold learning, visual data mining, and their applications. I work on research projects under the following topics:

• Data aggregation and visual exploration. Large relational data are not appropriate for visual exploration and other database applications that access the data in a summary-and-drill-down manner. This research investigates multiresolution data aggregation and develops techniques and algorithms for efficient data exploration and mining. Read more ...
• Data embedding. Data embedding deals with the issue of how to project data on a manifold to low dimensional space. We have developed algorithms for constructing connected neighborhood graphs and for locally isometric data embedding. Read more ...
• Visual exploration of data mining results. Unlike relational data, data mining results are usually facts and rules, for example, frequent itemsets and association rules. It is challenging to visually present and explore many such facts and rules. Read more ...

Major Research Grants

• NSF IIS-0414857. Projection and Interactive Exploration of Large Relational Data
• NSF EIA-0215356. MRI: Acquisition of Computing and Peripheral Hardware to Support Collaborative Research and Research Education in Imaging and Information Visualization
• NSF EIA-0130857. CISE-RR: Information Visualization and Incremental Knowledge Discovery in a Cluster Computing Environment

Publication

• List of published papers with web links for paper download.
• My entry at DBLP. (Please note that DBLP mixes my published papers with those of others whose names are identical to mine. My name is a popular Chinese name.)

Professional Society

• Senior Member, IEEE and IEEE Computer Society
• Member, ACM and ACM SIGMOD

Web Links