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Junzhou Huang

Assistant Professor, University of Texas at Arlington 

Department of Computer Science and Engineering

 

Adjunct Assistant Professor,

University of Texas Southwestern Medical Center

 

500 UTA Boulevard, Arlington, TX 76019-0015

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

Office: ERB 650 Office Hours: TuTh 1:30 pm - 3:30 pm

 

[Curriculum Vitae] [Google Scholar] [CV-CHN]

 

Postdoc and Graduate Assistantships Available!

Junzhou Huang is an Assistant Professor in the Computer Science and Engineering department at the University of Texas at Arlington. 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 and imaging informatics. He was selected as one of the 10 emerging leaders in multimedia and signal processing by the IBM T.J. Watson Research Center in 2010. His work won the MICCAI Young Scientist Award 2010, the FIMH Best Paper Award 2011, the MICCAI Young Scientist Award Finalist 2011, the STMI Best Paper Award 2012, the NIPS Best Reviewer Award 2013, the MICCAI Best Student Paper Award Finalist 2014 and the MICCAI Best Student Paper Award 2015. He received the NSF CAREER Award in 2016. He enjoys to develop efficient algorithms with nice theoretical guarantees to solve practical problems involved large scale data.


News:

  • 08/2016: Received the NSF CAREER Award. More details about this award can be found here.
  • 06/2016: Invited talk about "Multi-modal Biomarker Discovery from Imaging Genomic Data" at UMD.
  • 06/2016: Invited talk about "Biomarker Discovery from Histopathology Images" at NIH.
  • 05/2016: Three papers accepted by MICCAI'16. Jiawen's paper accepted as oral!
  • 05/2016: Invited to serve as the program committee for NIPS 2016!
  • 01/2016: Invited talk about "Integration of Pathological Images and Cell Profiling Data" at NIH.
  • 12/2015: One paper accepted by TPAMI and one paper accepted by Journal of Magnetic Resonance Imaging.
  • 11/2015: Invited talk about "Big Image-Omics Data Analytics for Clinical Outcome Prediction" at UTSW.
  • 11/2015: One paper accepted by AAAI 2016.
  • 10/2015: Our paper won Best Student Paper Award in MICCAI 2015! Big congrats to Menglin!
  • 09/2015: Big congrats to Yeqing for having successfully defended his Ph.D thesis and will move to Google!
  • More Archived ...

Supervised Ph.D Students:

  • Yeqing Li (Starting in Fall 2012, Graduated; Next Stop: Google)
  • Zhongxing Peng (Starting in Fall 2013)
  • Jiawen Yao (Starting in Fall 2014)
  • Ruoyu Li (Starting in Fall 2014)
  • Zheng Xu (Starting in Fall 2014)
  • Rasool Fakoor (Starting in Fall 2014, Co-Supervised)
  • Longwen Gao (Starting in Fall 2014, Visiting Student)
  • Sheng Wang (Starting in Fall 2015)
  • Xinliang Zhu (Starting in Fall 2015)
  • Li Yin (Starting in Fall 2015)

Supervised Master Students:

  • Chen Chen (01/2012 - 01/2015, Graduated; Next Stop: UIUC)
  • Dheeraj Ganti (09/2014 - 01/2016, Graduated; Next Stop: Oracle)
  • Viswanathan Rajalingam (01/2015- present)
  • Vivek Balaji (01/2015 - present)
  • Shirong Xue (09/2015 - present)
  • Ashwin Raju (01/2016 - present)
  • Saravanakumar Velayutham (06/2016 - present)
  • Kumar Jayaram Gayatri (06/2016 - present)
  • Arjun Punabhai Vekariya (06/2016 - present)

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 five-year publications at:

Machine Learning & Pattern Recognition (ranks 45th in 2016 in all North America universities)
Data Mining (ranks 17th in 2016 in all North America universities)