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 looking for highly motivated PhD/MS/Undergrad students to join our LUKA Lab. 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 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 (望道学者). Fudan University. 2014
    • Chun-Tsung Scholarship (莙政学者). 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.