Humphrey H. SHI

Research Staff Member, IBM Research

Graduate Faculty Member, UIUC

Courtesy Assistant Professor, University of Oregon

Other Academic Affiliations:

    • Adjunct Research Assistant Professor, ECE, UIUC
    • Co-Leader At Large, IFP Group
    • Member, C3SR (IBM-UIUC Center for Cognitive Computing Systems Research)
    • Assistant Professor, CIS, U of Oregon (to join in Winter 2019)

Prospective Students/Visitors/Post-docs & Collaborators/Sponsors: Contact me.

More Information: UIUC , IFP Group, C3SR Center, Oregon CS, LinkedIn, Google Scholar

Research Interests:

My current research focuses on accurate & efficient visual understanding for intelligent systems, in particular I have recently worked in:

    • Computer Vision: classification, object detection, segmentation, activity recognition
    • Machine Learning: deep learning, weakly-supervised learning, transfer learning, multi-task learning
    • AI Systems & Applications for Science, Education, Agriculture, Medicine, Finance, Transportation, etc.

Learn more...

Education

    • PhD, Electrical & Computer Engineering, UIUC, 2014 - 2017
    • MS, Electrical & Computer Engineering, UIUC, 2014 - 2016
    • BE, Engineering Physics, Tsinghua University, 2005 - 2009

Professional Experiences

    • Research Staff Member, IBM Research, 2017.11 - Present
    • Courtesy Assistant Professor, CIS, UO, 2019.06 - Present
    • Graduate Faculty Member, UIUC, 2018.08 - Present
    • Adjunct Research Assistant Professor, ECE, UIUC, 2017.12 - Present
    • Algorithmic Trader Intern & Consultant, Jump Trading, 2016.05 - 2017.11
    • Visiting Scholar, LV Group, NUS, 2015.05 - 2015.07

Selected Honors & Awards

    • National Academy of Engineering US Frontier of Engineering (2019)
    • IEEE DAC System Design Contest 1st Place (2019)
    • IBM Research Accomplishment Award (2018)
    • IBM Invention Achievement Award (2018)
    • IBM Equity Award (2018)
    • NIST/IARPA TRECVID Activity Recognition Challenge 1st Place (2018)
    • Nvidia AI City Challenge 1st Place (2017)
    • ImageNet Video Object Detection and Tracking Challenge 2nd Place (2017)
    • ImageNet Video Object Detection Challenge 3rd Place (2015)

Research Collaborators & Sponsors