Chang Wang's Home Page

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, Multiscale Analysis, Kernel Methods);
Knowledge Transfer Across Domains;
Application of Machine Learning in Information Retrieval, Vision and Biology

Resume:

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

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:

Chang Wang, Sridhar Mahadevan
Manifold Alignment without Correspondence.
The 21st International Joint Conference on Artificial Intelligence (IJCAI 2009).

Chang Wang, Sridhar Mahadevan
Multiscale Analysis of Document Corpora Based on Diffusion Models.
The 21st International Joint Conference on Artificial Intelligence (IJCAI 2009).

Chang Wang, Sridhar Mahadevan
A General Framework for Manifold Alignment.
AAAI Fall Symposium on Manifold Learning and its Applications, 2009. (AAAI FS 2009)

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.

Jeff Johns, Sridhar Mahadevan, Chang Wang
Compact Spectral Bases for Value Function Approximation Using Kronecker Factorization.
The 22nd AAAI Conference on Artificial Intelligence (AAAI 2007).

Sridhar Mahadevan, Sarah Osentoski, Jeff Johns, Kimberly Ferguson, and Chang Wang
Learning to Plan using Harmonic Analysis of Diffusion Models.
The 17th International Conference on Automated Planning and Scheduling (ICAPS 2007)

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.

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

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

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 Experience:
2004.09-Now:
RA/TA for Department of Computer Science, University of Massachusetts, Amherst
2009: Summer Intern at Microsoft Research (Cambridge)- IR Group: Ranking, Retrieval on Click Graph (10M distinct queries), Relevance Feedback.
2008: Summer Intern at IBM Research (T. J. Watson)- Question Answering with 'Jeopardy!' Team. [Video]
2007: Summer Intern at eBay Research (San Jose)- Topic Modeling, Semantic Mining
2003.1-2004.08:
RA for Department of Computer Science and Engineering, University of Nebraska, Lincoln:
SVM, Kernel methods and their applications in biology
2002.07-2002.12:
Working on ROLAP Based Data Warehouse for UFida Company.
1999.07-2002.07:
RA/TA for Department of Computer Science, Nankai University:
Application of Machine Learning in Bioinformatics. Parallel Genetic Algorithm.
Pattern recognition in gene chip for diagnosis of hepatitis and virus.
Theory of Adaptive Test. Auto Recognition of Chinese Manuscript Characters.

Some Links:
Manifold Alignment
Thioredoxin Protiens
Living at Amherst
Travel