Chenhui Xu

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 machine learning theory, backbone neural networks in computer vision, out-of-distribution detection. In backbone networks, I am now working on high-order neural networks and the inner product of feature space; I am also working on machine learning theory of language models. At the same time, I am actively studying quantum computing and attempting to get some inspiration from it.

News

• 09/2024: One paper is accepted by NeurIPS 2024.
• 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

• [NeurIPS 2024] Chenhui Xu, Fuxun Yu, Maoliang Li, Zihao Zheng, Zirui Xu, Jinjun Xiong, and Xiang Chen. Infinite-Dimensional Feature Interaction, in Annual Conference on Neural Information Processing Systems, 2024.
• [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)

Preprints

• [arxiv 2024] Amir Nassereldine, Dancheng Liu, Chenhui Xu, Jinjun Xiong. PI-Whisper: An Adaptive and Incremental ASR Framework for Diverse and Evolving Speaker Characteristics, arXiv preprint arXiv:2406.15668, 2024.
• [arxiv 2024] Dancheng Liu, Amir Nassereldine, Ziming Yang, Chenhui Xu, Yuting Hu, Jiajie Li, Utkarsh Kumar, Changjae Lee, Jinjun Xiong. Large Language Models have Intrinsic Self-Correction Ability, arXiv preprint arXiv:2406.15673, 2024.
• [arxiv 2024] Chenhui Xu, Xinyao Wang, Fuxun Yu, Jinjun Xiong, Xiang Chen. QuadraNet V2: Efficient and Sustainable Training of High-Order Neural Networks with Quadratic Adaptation, arXiv preprint arXiv:2405.03192, 2024.

Services

• Reviewer, International Conference on Learning Representation (ICLR), 2025
• Reviewer, NeurIPS Workshop on MATH-AI, 2024
• 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