Muhao Chen

   Assistant Research Professor of Computer Science
   University of Southern California
   Email: muhaoche [Shift+2] usc.edu
       
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I am an Assistant Research Professor at USC Department of Computer Science. I am leading the Language Understanding and Knowledge Acquistion (LUKA) Lab. My research focuses on data-driven machine learning approaches for processing structured data, and knowledge acquisition from unstructured data. Particularly, I am interested in developing knowledge-aware learning systems with generalizability and requiring minimal supervision, and with concrete applications to natural language understanding, knowledge base construction, computational biology and medicine. Previously, I was a Postdoctoral Fellow with Dan Roth at UPenn. I received my Ph.D. degree in Computer Science from UCLA in 2019, where I worked with Carlo Zaniolo, Kai-Wei Chang and Wei Wang. Before joining UCLA as a Ph.D. student, I graduated with a Bachelor degree from Fudan University in 2014 where I worked with X. Sean Wang.

News 
  • I am starting to recruit prospective PhD students to join our LUKA Lab (name credit to Dan). RA positions for outstanding master and undergraduate students who are willing to collaborate on publishable research are also welcome. More information is available at here.
  • I am organizing the USC/ISI AI Seminar, which happens at 11AM PT on Fridays. The current list of talks can be found at here. Feel free to send me a message if you would like to visit us and give a talk.
  • I have been (virtually) traveling around and giving talks in AI/NLP/ML seminars recently. Feel free to invite me to give a talk. Topics of my recent talks include: Understanding Event Processes in Natural Language, Knowledge Acquisition with Transferable Representation Learning, and Representation Learning for Tabular Data.
  • I will start to teach CSCI 544 (Applied Natural Language Processing) in Spring 2022.
Education 
  • Ph.D. in Computer Science, University of California Los Angeles, Sept 2014 - June 2019.
  • B.S. in Computer Science, Fudan University, Sept. 2010 - June 2014.
Publication 

  In Chronological Order  By Categories
Technical Reports 
  • Muhao Chen. Knowledge Acquisition with Transferable and Robust Representation Learning. Research Statement 2019
  • Industrial Experience 
    • Research Intern, Microsoft Research Redmond. June 2018 - Sept 2018 (with Chris Quirk)
    • Research Intern, Google, Mountain View. June 2017 - Sept 2017 (Google Knowledge Graph)
    • SDE Intern, Google, Mountain View. June 2016 - Sept 2016 (Youtube Real-time Data Infrastructure)
    • R&D Intern, Teradata Labs, El Segundo. June 2015 - Sept 2015 (Multi-task Learning for Cost-based DB Optimizer with Kuorong Chiang)
    Selected Awards 
    • NSF CRII Award, 2021-2023 (Solo PI)
    • ACM SIGBio Best Student Paper Award, 2020
    • UCLA Dissertation Fellowship. 2018-2019
    • Research Grant of National University Student Innovation Program. Ministry of Education of China. 2014
    • Wang-Dao Scholarship. Fudan University. 2014
    • Chun-Tsung Scholarship. Hui-Chun Chin and Tsung-Dao Lee Chinese Undergraduate Research Endowment. 2013
    • Tung OOCL Scholarships. 2012, 2013.
    Professional Services 
    • Senior PC member.
      2021: AAAI, IJCAI
    • PC member.
      2021: ACL, EACL, NAACL, WSDM, WWW
      2020: AAAI, AACL, AKBC, COLING, EMNLP, IJCAI, ISWC, KDD, SIGIR, WSDM, *SEM
      2019: AAAI, AKBC, NAACL, ACL, EMNLP, BigData, WISE, NLPCC, SoCALNLP, AIKE (Doctoral Consortium Chair)
      2018: AAAI, BigData, EMNLP, NLPCC, SoCal NLP
    • Journal Reviewer: TPAMI, TNNLS, TKDD, W3J, PLOS Computational Biology, Clinical and Translational Medicine, Comput. & Struct. Biotechnol., TKDE, TII, BMC Genomics, BMC Medical Genomics, Evolutionary Intelligence, Information Sciences.