Chang Wang

Technology startup founder and researcher on machine learning & natural language processing

Bio:

  • I am currently running a New York based technology startup on knowledge extraction from big data using machine learning and natural language processing techniques. Previously, I worked at Bridgewater Associates (Elemental Cognition) and IBM Research both as a researcher. Prior to joining IBM, I received Ph.D on artificial intelligence at the University of Massachusetts at Amherst. I also did internship at Microsoft research (2009), IBM research (2008), and eBay research (2007) on search engine, ranking and sentiment analysis.

Contact Information:

  • Email: chwang AT paperdigest.org

Research Areas & Work:

  • Machine Learning
  • Natural Language Processing
  • Search Engine
    • Creator of Word2Tech – a universal technology discovery engine
  • Fintech (M&A, financial document analysis)

Education:


Experience:

  • 2021.10-Now: Creator of Word2tech (a universal technology discovery engine).
  • 2018.05-Now: Founder of www.paperdigest.org (sci-tech knowledge graph and text analysis platform for scientific literature tracking, summarization and search).
    • Lead a team to develop and manage Paper Digest, a service to help people use least time to track technology progresses in their fields. We serve users in more than 200 countries and territories worldwide and more than 600 universities and research institutions.
  • 2018.03-2021.12:  Co-Founder of FMeasure (a fintech company)
    • Featuring more than 3M organizations, 33M experts & executives, 10M products and 200K technology categories, FMeasure maintains one of the largest business-tech knowledge graphs in the world. In this large graph, organizations, technologies, products, financial assets and people are fully connected to empower evidence-based decision making for applications like M&A. We also provide a semantic analysis engine to analyze organizations & products in any niche market from the perspective of technology. 
  • 2015.03-2018.03: Researcher at Elemental Cognition within Bridgewater Associates
  • 2010.08-2015.03: Research Staff Member at IBM Research (T. J. Watson)
    • As one of the original IBM Watson team members, built the Jeopardy! winning machine – IBM Watson System. I focused on relation extraction and statistical knowledgebase (KB) construction components.
  • 2004.09-2010.08: RA/TA for Department of Computer Science, University of Massachusetts, Amherst
  • 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 Yonyou.
  • 1999.07-2002.07: RA/TA for Department of Computer Science, Nankai University: Machine Learning and its application in Bioinformatics.

Publications:


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