Scholar
Chenhui Xu
Google Scholar ID: SjjiXpYAAAAJ
PhD Student, University at Buffalo
Citations & Impact
Citations
90
H-index
5
i10-index
2
Publications
16
Co-authors
12
list available
Publications
Resume (English only)
Academic Achievements
- - One paper on Physics-Informed Neural Networks accepted by NeurIPS 2025
- - One paper on Sub-Sequential Physics-Informed Learning with State Space Model accepted by ICML 2025
- - One paper on Infinite-Dimensional Feature Interaction accepted by NeurIPS 2024
- - One paper on Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble accepted by ICML 2024
- - One paper on QuadraNet accepted by ASP-DAC 2024 and received Best Paper Nomination
Research Experience
- - Will work as a research intern at Microsoft during summer 2025
- - Conducting research on high-order neural networks and the inner product of feature space in X-Lab
- - Working on machine learning theory of language models
- - Actively studying quantum computing and seeking inspiration from it
Education
- - Ph.D.: University at Buffalo, Computer Science and Engineering, Advisor: Prof. Jinjun Xiong (Primary Advisor), Prof. Xiang Chen (Co-Advisor)
- - M.S.: George Mason University, Electrical and Computer Engineering, Advisor: Prof. Xiang Chen
- - B.S.: University of Science and Technology of China, Statistics
Background
- - Research Interests: Machine learning theory, backbone neural networks in computer vision, out-of-distribution detection
- - Professional Field: Statistics (Bachelor's), Computer Science and Engineering (Ph.D.)
- - Introduction: Currently a first-year doctoral student in the Department of Computer Science and Engineering at the University at Buffalo. Previously, spent two years in the IF Lab of the Department of Electrical and Computer Engineering at George Mason University.
