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I am an assistant professor in the Department of Computer Science in the University of Texas at Dallas. I was a postdoc at UC Berkeley/ICSI working with Prof. Stella Yu. Previously, I completed my PhD at the University of California San Diego advised by Prof. Tajana Rosing. During my PhD, I had the pleasure to spent time at Qualcomm AI research and IBM Thomas J. Watson Research Center. Email: yunhui.guo (at) utdallas.edu I am looking for research interns in deep learning or computer vision. Please send me an email with your CV and transcript if you are interested. |
Recent News
02/2024 Unsupervised Hyperbolic Feature Learning and Segment Every Out-of-Distribution Object are accepted by CVPR 2024.
01/2024 I will be serving as an Area Chair for ECCV 2024.
12/2023 One paper accepted in AAAI 2024.
11/2023 I was selected for the AAAI 2024 New Faculty Highlights Program.
10/2023 Two papers accepted in WACV 2024.
9/2023 Given a talk on continual learning at the 2023 AI Colloquium at DGIST.
07/2023 One paper accepted in ICCV 2023.
06/2023 We are organizing a new tutorial on learning in hyperbolic space in CVPR 2023.
05/2023 One paper accepted in UAI 2023. One paper accepted in CLVision Workshop@CVPR'23.
04/2023 One paper accepted in RSS 2023.
Research
My research lies at the intersection of machine learning and computer vision. In particular, I am interested in how to efficiently and reliably leverage the data we have. My current research focused on transfer learning, continual learning, few-shot learning, multi-task learning and geometrical learning with applications in IoT, mobile computing and autonomous driving. My goal is to design data-efficient machine learning algorithms with nice properties for these applications.
Group
Ph.D. Students
- Ouyang Xu (Fall 2022. B.S. from Southeast University, M.S. from University of Wisconsin–Madison.)
- Wenjie Zhao (Fall 2023. B.S. from Sichuan University, M.S. from Xi'an Jiaotong University.)
- Sarthak Kumar Maharana (Fall 2023. B.S. from International Institute of Information Technology Bhubaneswar, M.S. from the University of Southern California.)
- Ruiyu Mao
Master Students
- Subhrangsu Bose (UT Dallas)
Undergraduate Students
- Nhi Le (UT Dallas)
- Zhixuan Wu (UMich)
Intern
- Haoran Guo (UC Berkeley)
- Yuxuan Li (Harbin Institute of Technology)
Publications
Oral presentation
Spotlight, top 4% submissions
Teaching
- Instructor: UT Dallas CS 4365 Artificial Intellgence (Fall 2022, Spring 2023, Fall 2023)