**Yi Xu **

PH.D Candidate

Department of Computer Science

Binghamton University

** Office: EB G15
E-mail:
CV download **

# research

My research area lies in data mining and machine learning, focusing paticularly on novel algorithm design and problem solving using probability theory, optimization theory and computing algorithm. Below lists the three problems & modeling that I have been working on from 2009 to 2013.

- PROBLEM 1: Convex approximation to mixture models
- PROBLEM 2: Pattern change discovery between high dimentional datasets
- PROBLEM 3: Network segmentation based on homogeneity

# publication

- Yi Xu, Zhongfei Zhang, Philip Yu and Bo Long,
''Pattern change discovery between high dimensional data sets'',
*SUNY-RB-405-102412, Patent pending*, 2012. - Yi Xu, Zhongfei Zhang, Philip Yu and Bo Long,
''Pattern change discovery between high dimensional data sets'',
In
*Proc. CIKM*, 2011. PDF Code - Yi Xu and Huimin Yu
''Contour-based multi-source information fusion for motion segmentation'',
In
*Chinese Journal of Electronics (English version)*,Vo.3, pp. 464-470, 2008. - Huimin Yu, Yi Xu, Jizhong Liu and Xiaoying Gao
''Multiple motion segmentation and tracking with level-set PDEs'',
In
*Journal of Image and Graphics, (Chinese)*, Vol.12(7), pp. 1218-1223, 2007. - Yi Xu and Huimin Yu,
''Contour-based motion segmentation using few priors'',
In
*Proc. ICSP*, 2006.

# talks & services

- "Clustering by Bayes voting" in seminar held by graduate student association of computer science department at Binghamton university 2012 Slides
- "Pattern change discovery between high dimensional data sets" in Seminar of machine learning held by mathematics department at Binghamton university 2011 Slides

## Talks

## Services

Conference paper reviewer for ICDM, KDD, CIKM, PAKDD, ICME, and MMM

# Core courses taken

## Computer Science Courses

Operating system (A) by Kartik Goplan; Computer architecture (A) by Dmitry V. Ponomarev; Programming languages (A) by Ping Yang; Algorithms (A-) by Michal Cutler.

## Mathematics Courses

Linear algebra (B+) by Benjamin Brewster; Analysis/Measure theory (A) by Paul Loya; Probability theory (A) by Shelly Zacks and E. T. Jaynes.