Associate Professor and Lynn '84 and Bill Crane '83 Faculty Fellow

Computer Science & Engineering
Texas A&M University
Email: hu at cse dot tamu dot edu
Google Scholar Page


I am an Associate Professor in Computer Science and Engineering at Texas A&M University, and a member of the Center for Remote Health Technologies and Systems and the Center for the Study of Digital Libraries. I am currently directing the DATA (Data Analytics at Texas A&M) Lab.

At the DATA Lab, we strive to develop automated and interpretable data mining and machine learning algorithms with theoretical properties to better discover actionable patterns from large-scale, networked, dynamic and sparse data. Our research is directly motivated by, and contributes to, applications in social informatics, health informatics and information security. Our work has been featured in Various News Media, such as MIT Tech Review, ACM TechNews, New Scientist, Fast Company, Economic Times. Our research is generously supported by federal agencies such as DARPA (XAI, D3M and NGS2) and NSF (CAREER, III, SaTC, CRII, S&AS), and industrial sponsors such as Adobe, Apple, Alibaba and JP Morgan. I was the General Co-Chair for WSDM 2020.

[Open Positions] We are recruiting PhD students, undergraduate students, and visiting scholars/students. Here you can find the job description. Please feel free to drop me an email with your CV.

News and Highlights

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Honors and Awards

  • Best Paper Award Candidate, ICDM 2019
  • Best Poster Award, INFORMS 2019
  • Best Student Paper Award Finalist, INFORMS QSR 2019
  • Best Student Paper Award, IISE QCRE 2019
  • Best Paper Award Shortlist, WWW 2019
  • Adobe Data Science Research Award, 2019
  • JP Morgan AI Research Faculty Award, 2019
  • Dean of Engineering Excellence Award, Texas A&M University, 2019
  • NSF CAREER Award, 2018
  • TEES Young Faculty Fellow, Texas A&M Engineering Experiment Station, 2018
  • Engineering Genesis Award, Texas A&M Engineering Experiment Station, 2017
  • PEPI Award, NSF South BD Hub, 2016
  • Best Paper Award, IJCAI BOOM Workshop, 2016
  • Outstanding Graduate Student Award, Ira A. Fulton Schools of Engineering, Arizona State University, 2015
  • Atluri Award, Phoenix Section Student Scholarship, IEEE Foundation, 2015
  • President's Award for Innovation, Arizona State University, 2014
  • Best Paper Award Shortlist, WSDM 2013


I received my PhD from Arizona State University under the supervision of Dr. Huan Liu. I received my Master and Bachelor degrees from Beihang University. Before my current position, I worked as a postdoctoral researcher at Arizona State University and Phoenix Veteran Affairs Health Care System, a research intern at Microsoft Research, and a visiting student at National University of Singapore with Dr. Tat-Seng Chua.