About Me
Welcome to Chenhui Xu’s home page.
I am now a first-year doctoral student in X-Lab of Department of Computer Science and Engineering at Univeristy at Buffalo. Prior to this, I spent two years in IF Lab of Department of Electrical and Computer Engineering at Geroge Mason University under the guidance of Prof. Xiang Chen. I received my Bachelor’s degree in Statistics from University of Science and Technology of China.
I am advised by Prof. Jinjun Xiong at University at Buffalo and co-advised by Prof. Xiang Chen at Peking University.
My current research interests include physics-informed neural networks, backbone neural networks in computer vision, out-of-distribution detection, and multi-modality models. In backbone networks, I am now working on the quadratic neural networks and inner product of feature space; in OOD detection, I am now working a feature ensemble method. At the same time, I am actively studying quantum computing and attempting to get some inspiration from it.
News
- 05/2024: One paper on Out-of-Distribution Detection is accepted by ICML 2024.
- 01/2024: I will join University at Buffalo to continue my Ph.D. career under the guidance of Prof. Jinjun Xiong.
- 10/2023: One paper is accepted by ASP-DAC 2024 and received Best Paper Nomination.
- 10/2022: Serve as session chair of IEEE Cloud Summit.
- 07/2022: I left USTC and will join George Mason University (GMU) to pursue a Ph.D. degree under guidance of Dr. Xiang Chen.
- 06/2021: I graduated and obtained my bachelor’s degree from University of Science and Technology of China.
Publications
- [ICML 2024] Chenhui Xu, Fuxun Yu, Zirui Xu, Nathan Inkawhich, and Xiang Chen. Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble, In International Conference on Machine Learning, 2024.
- [ASP-DAC 2024] Chenhui Xu, Fuxun Yu, Zirui Xu, Chenchen Liu, Jinjun Xiong, and Xiang Chen. QuadraNet: Improving High-Order Neural Interaction Efficiency with Hardware-Aware Quadratic Neural Networks, Asia and South Pacific design automation conference, IEEE 2024. (Best Paper Nomination)
Education Background
- Pursuing Ph.D. in Computer Science and Engineering Aug. 2024∼present
- Transfer to UB, Computer Engineering Aug. 2022∼May. 2024
- Bachelor of Sciences in Statistics Aug. 2017∼ Jun. 2021
Services
- Session Chair, IEEE Cloud Summit, 2022,2023
- Publication Committee, International Green and Sustainable Computing Conference, 2022, 2023
Contact Information
Davis Hall, Room 341
Computer Science & Engineering Department
University at Buffalo
Buffalo, NY, USA 14260
Email: cxu26@buffalo.edu
Phone: +1(703)973–0703