I am an Assistant Professor in the College of Information Studies (iSchool) and the Institute for Advanced Computer Studies (UMIACS) at the University of Maryland, College Park.

I am passionate about large-scale behavior data analysis. I use multi-disciplinary methodologies featuring machine learning, causal inference, and experimental design. I am interested in applied areas of data science such as data science for social good, computational social science, recommender systems, and social and information network analysis.

I received my Ph.D. from the School of Information at University of Michigan. I was fortunate to be advised by Prof. Qiaozhu Mei and be a member of the Foreseer Group. Here is my CV.

Prospective Students: I am always looking for strong students to join my adventure. Prospective PhD students please apply to our PhD program and note your interest in working with me in the statement. The priority deadline is 12/11/2020 for best consideration. I'm also happy to work with masters or undergraduate students at UMD. If you are interested, please send me an email with your CV and transcript. I might not be able to reply all emails.


Publications

See also my Google Scholar profile


Teaching Experiences

University of Maryland
University of Michigan
Peking University
  • Data Structure and Algorithm, Peking University (Spring 2013)

Professional Activities and Service

Conference Organization
  • Student Volunteer Chair for SIGIR 2018
Workshop Organization
  • InTI2018: 1st SIGIR Workshop on Intelligent Transportation Informatics
Conference PC Member
  • ACM SIGIR 2019, 2020

  • ACM WSDM 2018, 2019, 2020, 2021

  • WWW 2018 (poster track), 2020

  • ICWSM 2018, 2019, 2020, 2021

  • SocInfo 2019, 2020

Workshop PC Member
  • MiLeTS18: the 4th SIGKDD Workshop on Mining and Learning from Time Series.

  • Emoji2018: the 1​st​ International Workshop on Emoji Understanding and Applications in Social Media (Co-located with ICWSM'18)

  • Emoji2019: the 2nd International Workshop on Emoji Understanding and Applications in Social Media (Co-located with WWW'18)

Journal Reviewer
  • Management Science
  • ACM Transactions on Intelligent Systems and Technology (TIST)
  • ACM Transactions on Big Data (TBD)
  • ACM Transactions on Social Computing (TSC)
  • ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP)
  • IEEE Transactions on Knowledge and Data Engineering (TKDE)
  • Journal of Computer Science and Technology (JCST)
  • Chinese Journal of Computers (CJC)
Departmental Service
  • Online Degree Task Force, School of Information, 2018
    I participated in proposing the new online Master's Degree in Applied Data Science.

  • Doctoral Committee Representative, School of Information, 2016 -- 2017
    I served as the student representative on the doctoral committee, which oversees the doctoral program of the school.

  • Doctoral Execute Committee, School of Information, 2014 -- 2015
    The committee represents and advocates for the interests of doctoral students in the school to the administration, faculty, and community at large.


Industrial Experiences

  • Data Scientist Intern at Didi Chuxing, 2017.7 – 2017.8, 2018.1 - 2018.2

  • Software Engineer Intern at Twitter, 2015.5 - 2015.8

  • Software Engineer Intern at Tencent, 2013.4 - 2013.6