Junzhou Huang, FAIMBE


Jenkins Garrett Professor

The University of Texas at Arlington 

Department of Computer Science and Engineering


500 UTA Boulevard, Arlington, TX 76019-0015

Email: jzhuang@uta.edu Phone: (817) 272-9596

Office: ERB 650


[Curriculum Vitae] [Google Scholar] [GitHub]


Postdoc and Graduate Assistantships Available!

Dr. Junzhou Huang is the Jenkins Garrett Professor in the Computer Science and Engineering department at the University of Texas at Arlington. He has been the director of the machine learning center at Tencent AI Lab. He received the B.E. degree from Huazhong University of Science and Technology, Wuhan, China, the M.S. degree from the Institute of Automation, Chinese Academy of Sciences, Beijing, China, and the Ph.D. degree in Computer Science at Rutgers, The State University of New Jersey. His major research interests include machine learning, computer vision, medical image analysis and bioinformatics. His research has been recognized by several awards including the NSF CAREER Award from the National Science Foundation, TensorFlow Model Garden Award from Google, Emerging Leaders from IBM Watson, four Best Paper Awards (MICCAI'10, FIMH'11, STMI'12 and MICCAI'15) as well as two Best Paper Nominations (MICCAI'11 and MICCAI'14). His research projects are supported by both federal/state agencies (NSF, NIH, CPRIT) and industry (Google, Amazon, IBM, Samsung, XtaiPi and Nokia). His recent work on protein folding won the 6th place in the 3D Structure Prediction Challenge and the 1st place in the Contact and Distance Prediction Challenge at CASP14, December 2020. He enjoys to develop efficient algorithms with nice theoretical guarantees to solve practical problems involved large scale data.


  • 03/2023: Invited to serve as an area chair for NeurIPS 2023!
  • 02/2023: Received a CPRIT grant $432K to study the binding between T Cell Receptors and Neoantigens!
  • 02/2023: One paper accepted by WWW 2023!
  • 12/2022: Invited to serve as an area chair for ICML 2023!
  • 11/2022: One paper accepted by AAAI 2023!
  • 11/2022: Elected as a Fellow of AIMBE!
  • 10/2022: One paper published in Nature Machine Intelligence!
  • 09/2022: One paper accepted by NeurIPS 2022!
  • 08/2022: Tutorial "Trustworthy Graph Learning" at KDD 2022!
  • 06/2022: Two papers accepted by MICCAI 2022!
  • 05/2022: Two papers accepted by ICML 2022!
  • 03/2022: Invited to serve as an area chair for NeurIPS 2022!
  • 03/2022: Three papers accepted by CVPR 2022!
  • 01/2022: Invited to serve as an area chair for MICCAI 2022!
  • 01/2022: Two papers accepted by ICLR 2022!
  • More Archived ...


Supervised Ph.D Students:

  • Yeqing Li (2012-2016, Next Stop: Google)
  • Zheng Xu (2014-2018, Next Stop: Google)
  • Jiawen Yao (2014-2019, Next Stop: PAII)
  • Ruoyu Li (2014-2020, Next Stop: Facebook)
  • Sheng Wang (2015-2020, Next Stop: Google)
  • Xinliang Zhu (2015-2020, Next Stop: Amazon)
  • Mohammad Minhazul Haq (Starting in Fall 2016)
  • Chaochao Yan (2017-2022, Next Stop: Google)
  • Ashwin Raju (2017-2022, Next Stop: Covera Health)
  • Jinyu Yang (2018-2022, Next Stop: Amazon)
  • Yuzhi Guo (2018-2022, Next Stop: UTA PostDoc)
  • Hehuan Ma (Starting in Fall 2018)
  • Chunyuan Li (Starting in Fall 2019)
  • Weizhi An (Starting in Fall 2019)
  • Feng Tong (Starting in Fall 2020)
  • Saiyang Na (Starting in Fall 2021)
  • Wenliang Zhong (Starting in Fall 2021)
  • Feng Jiang (Starting in Fall 2022)
  • Yuwei Miao (Starting in Fall 2022)
  • Qifeng Zhou (Starting in Fall 2022)

Supervised Master Students:

  • Chen Chen (2012 - 2015, Next Stop: UIUC PhD)
  • Dheeraj Ganti (2014 - 2016, Next Stop: Oracle)
  • Viswanathan Rajalingam (2015- 2017, Next Stop: Samsung Lab)
  • Vivek Balaji (2015 - 2017, Next Stop: BMW)
  • Shirong Xue (2015 - 2017, Next Stop: Walmart Lab)
  • Ashwin Raju (2015 - 2017, Next Stop: UTA PhD)
  • Arjun Punabhai Vekariya (2015 - 2017, Next Stop: Raizlabs)
  • Xiaoyu Zhang (2016 - 2018, Next Stop: UTA PhD)
  • Zhifei Deng (2016 - 2019, Next Stop: Facebook)
  • Siyu Xiu (2018 - 2020, Next Stop: FutureDial)
  • Zeheng Li (2018-2021, Next Stop: CoCoPIE)

Information for Future Students:

I am looking for Postdoc, Ph.D. students, motivated for doing research in the areas of machine learning, data mining and imaging informatics. If you are interested, please contact me. If you are UTA master students and are looking for master thesis topics, or UTA undergraduates and are looking for internships, please feel free to contact me.

UT Arlington has top research ranking based on the past ten-year publications at: