Chang Wang's Home Page

Chang Wang

王敞

Now I am a research staff member working on DeepQA (Watson) at IBM T. J. Watson Lab.

Contact Information:
IBM Research
19 SKYLINE DR, HAWTHORNE NY 10532
Email: wangchan AT us.ibm.com or chwang AT cs.umass.edu

Research Areas:
Machine Learning (Manifold Learning, Transfer Learning, Representation Learning, and Multiscale Analysis);
Application of Machine Learning in Natural Language Processing (NLP) and Information Retrieval (IR)

Resume:

PhD. Department of Computer Science. University of Massachusetts, Amherst

MS. Department of Computer Science. Nankai University.

BS. Department of Computer Science. Nankai University.

Publications:

Chang Wang, James Fan, Aditya A. Kalyanpur, David Gondek
Relation Extraction with Relation Topics.
The 2011 Conference on Empirical Methods in Natural Language Processing (EMNLP 2011).

Chang Wang, Sridhar Mahadevan
Jointly Learning Data-Dependent Label and Locality-Preserving Projections.
The 22nd International Joint Conference on Artificial Intelligence (IJCAI 2011).

Chang Wang, Emine Yilmaz, Martin Szummer
Relevance Feedback Exploiting Query-specific Document Manifolds
The 20th ACM Conference on Information and Knowledge Management (CIKM2011).

Chang Wang, Sridhar Mahadevan
Heterogeneous Domain Adaptation using Manifold Alignment.
The 22nd International Joint Conference on Artificial Intelligence (IJCAI 2011).

Chang Wang
A Geometric Framework For Transfer Learning Using Manifold Alignment.
PhD Thesis (Sep 2010).

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:
2010.08-Now:
Research Staff Member at IBM Research (T. J. Watson)
2004.09-2010.08:
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)- Deep Question Answering with 'Jeopardy!' Team.
2007: Summer Intern at eBay Research (San Jose)- Topic Modeling, Sentiment 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:
Machine Learning and its application in Bioinformatics.

Professional Services:
Reviewer for the following journals and conferences:
Journal of Machine Learning Research (JMLR),
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI),
IEEE Transactions on Knowledge and Data Engineering (TKDE),
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB),
Information Retrieval Journal,
Journal of Computer Science and Technology (JCST),
Neuro Computing, etc
AAAI Conference on Artificial Intelligence (AAAI).

Some Links:
Manifold Alignment
Applications of Diffusion Wavelets in Learning
Thioredoxin Protiens
Living at Amherst
Travel