Chang Wang

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

Bio:

• I have been leading projects to build artificial intelligence systems from scratch for tech, fintech & healthcare domains, serving users from thousands of universities and companies each day. I am currently running a startup focusing on text understanding and content generation (without hallucinations).
• Previously, I worked at FMeasure (a fintech startup), Bridgewater Associates (Elemental Cognition) and IBM Research on natural language processing and machine learning. Prior to joining IBM, I received Ph.D on machine learning 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.

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Contact Information:

• LinkedIn
• Email: chwang AT paperdigest.org

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Research Areas & Work:

• Machine Learning:
  • Manifold Learning, Transfer Learning, Deep Learning
• Natural Language Processing:
  • Founder of Paper Digest, which is used by researchers & engineers from thousands of organizations each day  
  • I was also part of the algorithm team that built IBM Watson for Jeopardy
• Fintech (M&A, financial document analysis)

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Education:

• Ph.D. Department of Computer Science. University of Massachusetts, Amherst
• MS. Department of Computer Science. Nankai University.  
• BS. Department of Computer Science. Nankai University.

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Experience:

• 2022-Now: Running a startup in stealth mode.
• 2018.05-Now: Founder of www.paperdigest.org (sci-tech knowledge graph and natural language processing platform for tech domain).
  • Lead a team to build a deep learning & natural language processing system to understand text and generate contents with explanations. Our services cover search, text generation, multi document summarization, question answering for tech, healthcare and financial domains. As a demo site, Paper Digest serves researchers / engineers from thousands of universities, research institutions and companies each day.
• 2018.03-2021.04:  Co-Founder of FMeasure (a fintech company)
  • Artificial intelligence for merger & acquisition (target screening, search for potential acquirers, etc.); Natural language processing for SEC filing (Form 3, 4, 5, 8K, 10K, 13F, 20F, etc.), earning call transcript & company profile analysis. 
• 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
  • 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 Yonyou.
• 1999.07-2002.07: RA/TA for Department of Computer Science, Nankai University: Machine Learning and its application in Bioinformatics.

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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. GladyshevA 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

• 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