Assistant Professor
Computer Science & Engineering
Texas A&M University
Email: hu at cse dot tamu dot edu


I am an Assistant Professor in Computer Science and Engineering at Texas A&M University starting from Fall 2015, and am also 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 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. Here is my Google Scholar.

[Open Positions] We are recruiting postdoctoral researchers, 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

[11/2017]: Grateful to receive the Engineering Genesis Award from Texas A&M Engineering Experiment Station.
[11/2017]: Our paper on modeling personalized social influence is accepted by AAAI 2018. Congratulations Zepeng and Xiao!
[10/2017]: Our paper on modeling human cognition is accepted by WSDM 2018, making a preliminary step towards human-centric computing. Congratulations Xiao and QQ!
[10/2017]: Xiao Huang is nominated by the Department of Computer Science and Engineering for participating in the MS Research Fellowship competition. Congratulations Xiao!
[10/2017]: Happy to share the data & code of our recent work on data-driven network embedding. Please try out!
[10/2017]: Grateful to receive a research award from Alibaba Group, as the PI, to support our research on developing deep learning algorithms for graph computing!
[10/2017]: Grateful to receive a grant from Apple Inc., as the PI, to support our research on anomaly detection!
[10/2017]: Grateful to receive a grant from Ingersoll Rand, as the Co-PI, to support our research on multi-modal deep learning!
[09/2017]: Grateful to receive two RAPID grants from NSF, as the Co-PI, to support our research on disaster relief!
[08/2017]: Call for paper: Interpretable Data Mining (IDM) Workshop in conjunction with ACM International Conference on Information and Knowledge Management (CIKM 2017)
[08/2017]: Call for proposals and participants: Networking with Experts Forum, in conjunction with KDD 2017
[08/2017]: Grateful to receive an NSF grant from the IIS core program, as the lead PI, to support our research on data-driven dynamic attributed network analytics!
[05/2017]: Xiao Huang received the SDM'17 Doctoral Forum Best Poster Runner-Up Award! Congratulations!
[05/2017]: Grateful to receive a grant from DARPA, as the PI, to support our research on developing interpretable machine learning models!
[04/2017]: Call for paper: 6th Workshop on Data Mining for Medicine and Healthcare, in conjunction with SDM 2017
[04/2017]: Grateful to receive a grant from DARPA, as the PI, to support our research on developing automatic composition of machine learning models!
[03/2017]: Grateful to receive an AggiE-Challenge grant from the College of Engineering at Texas A&M, as one of the PIs, to support undergraduate students research on smart and resilient urban infrastructure systems!
[02/2017]: Grateful to receive an NSF CRII grant (IIS-1657196), as the sole PI, to support our research on analyzing large-scale and complex attributed networks!
[02/2017]: Grateful to receive a grant from KC Sence Limited, as the sole PI, to support our research on deep learning!
[01/2017]: I will serve as the Social Networking Chair for the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2017)
[08/2016]: Grateful to receive a grant from DARPA, as the co-PI, to support our research on developing machine learning algorithms to advance next generation social science!
[06/2016]: Thanks Nvidia for the donation of GPU cards!
[07/2016]: Honored to receive the Best Paper Award from IJCAI-BOOM workshop! The paper is on "On the Organization and Retrieval of Health QA Records for Community-based Health Services"
[05/2016]: Honored to receive the PEPI award, in collaboration with UnitedHealthcare, from The NSF South BD Hub

Selected Honors and Awards

  • 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
  • Faculty Emeriti Fellowship, Arizona State University, 2014
  • President's Award for Innovation, Arizona State University, 2014
  • Best Paper 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.