Chang Wang

      

      Researcher in Machine Learning,

Data Mining and Natural Language Processing

  


Bio:
I am a researcher in machine learning, data mining and natural language processing.
I was a research staff member working on Deep Question Answering (IBM "Watson" System) at IBM T.J. Watson Research Center.
Prior to joining IBM, I received my PhD at the University of Massachusetts at Amherst.
My recent work is mainly on Transfer learning, Representation Learning, and Information Extraction on Big Data
.

Contact Information:
Email: changwangnk AT gmail.com
Research Areas:
Machine Learning (Manifold Learning, Transfer Learning, Representation Learning and Deep Learning); 
Application of Machine Learning in Natural Language Processing (NLP), Data Mining and Information Retrieval (IR)


Education:
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, Liangliang Cao, James Fan
    Building Joint Spaces for Relation Extraction
    The 25th International Joint Conference on Artificial Intelligence (IJCAI 2016).
  • Chang Wang, Liangliang Cao, Bowen Zhou
    Medical Synonym Extraction with Concept Space Models
    The 24th International Joint Conference on Artificial Intelligence (IJCAI 2015).
  • Chang Wang, James Fan
    Medical Relation Extraction with Manifold Models
    The 52nd Annual Meeting of the Association for Computational Linguistics (ACL 2014).
  • Chang Wang, Sridhar Mahadevan
    Manifold Alignment Preserving Global Geometry
    The 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013).
  • Chang Wang, Sridhar Mahadevan
    Multisscale Manifold Learning
    The 27th Conference on Artificial Intelligence (AAAI 2013).
  • Bonan Min, Ralph Grishman, Li Wan, Chang Wang, David Gondek
    Distant Supervision for Relation Extraction with an Incomplete Knowledge Base
    The 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2013)
  • Chang Wang, Aditya A. Kalyanpur, James Fan, Bran Boguraev, David Gondek
    Relation Extraction and Scoring in DeepQA.
    IBM Journal of Research and Development. (IBM R&D 2012). Special Issue on Watson in Jeopardy!,
  • 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
    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

  • Experience:
    2010.08-2015.03:
    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.


    Service:
    Reviewer for the following journals and conferences:
  • Journal of Machine Learning Research (JMLR)
  • Journal of Artificial Intelligence Research (JAIR)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
  • IEEE Transactions on Knowledge and Data Engineering (TKDE)
  • IEEE Transactions on Image Processing (IIP)
  • IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
  • ACM Transactions on Information Systems (TOIS)
  • Artificial Intelligence (AIJ)
  • Transactions of the Association for Computational Linguistics (TACL)
  • The VLDB Journal (VLDB)
  • Information Retrieval Journal
  • Journal of Computer Science and Technology (JCST)
  • Journal of Web Semantics (JWS)
  • International Journal of Computer Vision (IJCV)
  • Pattern Recognition (PR)
  • Neuro Computing
  • ACM SIGMOD Conference (SIGMOD)
  • Annual Meeting of the Association for Computational Linguistics (ACL)
  • The Conference on Empirical Methods on Natural Language Processing Conference (EMNLP)
  • The Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)
  • AAAI Conference on Artificial Intelligence (AAAI), etc

  • Links:
    Manifold Alignment
    Applications of Diffusion Wavelets in Learning
    Living at Amherst
    Travel

                                            � 2004-2017_ Chang Wang _ All rights reserved