Hi, I’m a first year Ph.D. student in the School of Computer Science, Peking University, fortunately supervised by Prof. Ge Li. My current research interests are mainly focused on LLM Reasoning, Foundation Model Architecture and AI for Software Engineering (AI4SE).

📝 Preprints

• [arXiv:25.10] CodeRL+: Improving Code Generation via Reinforcement with Execution Semantics Alignment Xue Jiang, Yihong Dong, Mengyang Liu, Hongyi Deng, Tian Wang, Yongding Tao, Rongyu Cao, Binhua Li, Zhi Jin, Wenpin Jiao, Fei Huang, Yongbin Li, Ge Li

• [arXiv:25.10] Detecting Data Contamination from Reinforcement Learning Post-training for Large Language Models Yongding Tao Tian Wang, Yihong Dong, Huanyu Liu, Kechi Zhang, Xiaolong Hu, Ge Li

• [arXiv:25.08] RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization Yihong Dong, Xue Jiang, Yongding Tao, Huanyu Liu, Kechi Zhang, Lili Mou, Rongyu Cao, Yingwei Ma, Jue Chen, Binhua Li, Zhi Jin, Fei Huang, Yongbin Li, Ge Li

📝 Publications

• [NeurIPS 2025] FANformer: Improving Large Language Models Through Effective Periodicity Modeling Yihong Dong, Ge Li, Xue Jiang, Yongding Tao, Kechi Zhang, Hao Zhu, Huanyu Liu, Jiazheng Ding, Jia Li, Jinliang Deng, Hong Mei

• [NeurIPS 2025] FAN: Fourier Analysis Networks Yihong Dong, Ge Li, Yongding Tao, Xue Jiang, Kechi Zhang, Jia Li, Jing Su, Jun Zhang, Jingjing Xu

• [ICSE 2025] ROCODE: Integrating Backtracking Mechanism and Program Analysis in Large Language Models for Code Generation Xue Jiang, Yihong Dong, Yongding Tao, Huanyu Liu, Zhi Jin, Wenpin Jiao, Ge Li

• [Tiny Paper at ICLR 2024] A Novel Window-Interaction Module Based on W-MSA Ruochen Cui, Yongding Tao, Mingjun Ni∗

📖 Educations

• 2025.09 - Present, Peking University, School of Computer Science, Ph.D. Student
• 2021.09 - 2025.06, University of Electronic Science and Technology of China, School of Mathematics, Bachelor’s Degree

💻 Internships

• 2024.11 - 2025.05, Research Intern, Ant Group, Shenzhen, China.