CV
You can view my full CV for more details.
Education
The Chinese University of Hong Kong, Shenzhen
Fall 2022 - Present
- Major: Pure Mathematics
- CGPA: 3.88 / 4.00
- Rank: 5/219 in School of Science and Engineering, 4/77 in Mathematics
The Chinese University of Hong Kong
Spring 2025
- Visiting Student
Publications
(* denotes equal contribution)
LLMs for Mathematical Modeling: Towards Bridging the Gap between Natural and Mathematical Languages
Xuhan Huang, Qingning Shen, Yan Hu, Anningzhe Gao, Benyou Wang
Findings of the Association for Computational Linguistics (NAACL), 2025. [paper] [code]Federated Linear Dueling Bandits
Xuhan Huang, Yan Hu, Zhiyan Li, Zhiyong Wang, Benyou Wang, Zhongxiang Dai
AAAI Conference on Artificial Intelligence (AAAI), 2026. [paper]Re:Form—Reducing Human Priors in Scalable Formal Software Verification with RL in LLMs
Chuanhao Yan*, Fengdi Che*, Xuhan Huang*, Xu Xu*, Xin Li*, Yizhi Li*, Xingwei Qu*, Jingzhe Shi, Chenghua Lin, Yaodong Yang, Binhang Yuan, Hang Zhao, Yu Qiao, Bowen Zhou, Jie Fu.
Preprint, 2025. [paper] [code]Differentiable Evolutionary Reinforcement Learning Sitao Cheng*, Tianle Li*, Xuhan Huang*, Xunjian Yin, Difan Zou. Preprint, 2025. [paper] [code]
VeriEquivBench: An Equivalence Score for Ground-Truth-Free Evaluation of Formally Verifiable Code
Lingfei Zeng*, Fengdi Che*, Xuhan Huang, Fei Ye, Xu Xu, Binhang Yuan, Jie Fu
Preprint, 2025. [paper] [code]CALM Before the STORM: Unlocking Native Reasoning for Optimization Modeling
Zhengyang Tang*, Zihan Ye*, Chenyu Huang*, Xuhan Huang, Chengpeng Li, Sihang Li, Guanhua Chen, Ming Yan, Zizhuo Wang, Hongyuan Zha, Dayiheng Liu, Benyou Wang.
Preprint, 2025. [paper]
Teaching Experience
Teaching Assistant for Honours Ordinary Differential Equations
CUHK-Shenzhen, School of Science and Engineering | Fall 2024
- Delivered one-hour weekly tutorials on solving ODEs and provided an additional hour of one-on-one student support.
Teaching Assistant for Honours Calculus
CUHK-Shenzhen, School of Science and Engineering | Spring 2024
- Led two-hour weekly tutorials covering topics in Calculus and Analysis and held a one-hour weekly session for individual student assistance.
Activities
Advanced Course in Modern Optimization
Summer 2024
- Studied modern optimization under Professor Yurii Nesterov, following his book, Lectures on Convex Optimization.
Student Seminar Speaker Summer 2023, Summer 2025
Work: Delivered technical lectures for undergraduate students on advanced topics:
- Reinforcement Learning (2025): Covered PPO derivation and the
veRLtraining framework. - Real Analysis (2023): Covered continuity, limits, and differentiation in Euclidean space \(\mathbb{R}^N\).
