Chang Wang's Home Page

~~~Welcome to Beijing~~~

Chang Wang

王敞

Contact Information:
Autonomous Learning Laboratory (ALL)
Dept. of Computer Science, University of Massachusetts, Amherst, MA, USA 01003
Email: chwang AT cs.umass.edu

Research Areas:
Machine Learning (Manifold Learning, Representation Learning, Kernel Methods),
Application of Machine Learning in Text, Vision and Biology

Resume:

PhD Program in Computer Science. Department of Computer Science. University of Massachusetts. Amherst, MA

PhD Program in Computer Science. Department of Computer Science. University of Nebraska. Lincoln, NE

Master of Engineering in Computer Science . Department of Computer Science. Nankai University. Tianjin, China

Bachelor of Science in Computer Science. Department of Computer Science. Nankai University. Tianjin, China

Publications:

2008
Chang Wang, Sridhar Mahadevan.
Manifold Alignment using Procrustes Analysis.
The 25th International Conference on Machine Learning (ICML 2008). pages 1120-1127, Helsinki, Finland, July 2008.
2007
Jeff Johns, Sridhar Mahadevan, Chang Wang
Compact Spectral Bases for Value Function Approximation Using Kronecker Factorization. AAAI-2007.
Sridhar Mahadevan, Sarah Osentoski, Jeff Johns, Kimberly Ferguson, and Chang Wang
Learning to Plan using Harmonic Analysis of Diffusion Models. International Conference on Automated Planning and Scheduling (ICAPS)- 2007
2005
Chang Wang, Stephen Scott
New kernels for Protein Motif Discovery and Function Classification.
The 22nd International Conference on Machine Learning (ICML 2005). pages 945-952, Bonn, Germany, August 2005.
2004
Chang Wang, Stephen Scott, Qingping Tao, Dmitri E. Fomenko, Vadim N. Gladyshev
New Techniques for Generation and Analysis of Evolutionary Trees.
In 2004 International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences, pages 283-289, Las Vegas, 2004.
Chang Wang, Stephen Scott, Jun Zhang, Qingping Tao, Dmitri E. Fomenko, Vadim N. Gladyshev
A Study in Modeling Low-Conservation Protein Superfamilies.
Technical Report UNL-CSE-2004-0003, University of Nebraska 2004
2003
Chang Wang, Zengqiang Chen, Zhuzhi Yuan
K-Means Clustering Based on Genetic Algorithm. Journal of Computer Science. 2003. 2
Chang Wang, Zengqiang Chen, Zhuzhi Yuan
Method of Online Analytical Processing on Nucleotide Sequences Database. Journal of Computer Science. 2003. 3
Chang Wang, Zengqiang Chen, Zhuzhi Yuan
Protein Conformation Prediction Based on Parallel Genetic Algorithm. Journal of Computer Science. 2003. 7
Chang Wang, Zengqiang Chen, Qinglin Sun, Zhuzhi Yuan
Clustering of Amino Acid Sequences based on K-Medoids Method. Journal of Computer Engineering. 2003. 8
2002 and before
Chang Wang
Genetic Algorithm Based Data Mining for Bioinformatics. Thesis for Master Degree. Nankai University. 2002
Chang Wang
Theory of Adaptive Test Based on Computational Intelligence. Journal of Education Technology. 2001. 2
Chang Wang
Recognition of Chinese Manuscript Characters based on Computational Intelligence. Thesis for Bachelor Degree. Nankai University. 1999

Research Experiences:

2004.09- Now:
RA/TA for Department of Computer Science, University of Massachusetts, Amherst
2008: Summer Intern at IBM Research.
2007: Summer Intern at eBay Research.
2002.12-2004.09:
RA for Department of Computer Science and Engineering, University of Nebraska-Lincoln.
"Genome-Wide Identification of Thiol Disulfide Oxidoreductase Function through Positional Dependence of Functional Motifs within Secondary Structure Patterns" Funded by NIH.
SVM, Kernel methods, and their applications in biology: Modeling Low-Conservation Protein Superfamilies; Thioredoxin Evolutionary Tree Analysis; Protein Clustering methods; Protein Structure Comparison and Function Classification.
2002:
ROLAP Based Data Warehouse for UFSoft Company.
Newspaper data-mining system for Evening Newsletter News Corporation.
Application of Machine Learning in Bioinformatics.
2001:
Parallel Genetic Algorithm.
Pattern recognition in gene chip for diagnosis of hepatitis and virus.
2000:
Allocation of Faculty Positions Based on Genetic Algorithm.
Theory of Adaptive Test.
1999:
Auto Recognition of Chinese Manuscript Characters.

Some Links:

Thioredoxin Protiens
Living at Amherst
Travel

Since 08/08/2004