About
I am a Ph.D. student at The Hong Kong Polytechnic University, advised by Prof. Qing Li and Prof. Wenqi Fan. I received my B.Eng. in Computer Science and Technology from Harbin Institute of Technology, Shenzhen (HITSZ), advised by Prof. Jing Li.
I am currently a research intern at Tencent Youtu Lab. My research interests lie in Large Language Models (LLMs), Agentic RL, Long Horizon Reasoning, and Post-training.
I have published papers at top-tier venues including ICML and ACL.
Selected Publications
View All →Sufficiency-guided Continuous Adaptive Reasoning
Jiahao Wang, Bingyu Liang, Chenhao Hu, Longhui Zhang, Xuebo Liu, Min Zhang, Jing Li, Xuelong Li
ICML 2026
CCF AA sufficiency-guided two-stage training framework that lets LLMs autonomously adjust reasoning effort based on problem complexity.
Bridging Functional Correctness and Runtime Efficiency Gaps in LLM-Based Code Translation
Longhui Zhang, Jiahao Wang, Chenhao Hu, Bingyu Liang, Jing Li, Min Zhang
ICML 2026
CCF AImproving both correctness and runtime efficiency of LLM-based code translation via multi-perspective exploration and difference-aware selection.
Speed Up Your Code: Progressive Code Acceleration Through Bidirectional Tree Editing
Longhui Zhang, Jiahao Wang, Meishan Zhang, Gaoxiong Cao, Ensheng Shi, Yuchi Ma, Jun Yu, Honghai Liu, Jing Li, Min Zhang
ACL 2025
CCF ABITE improves LLM code acceleration through bidirectional tree editing and progressive learning, with a new benchmark and metric.
Function-to-Style Guidance of LLMs for Code Translation
Longhui Zhang, Bin Wang, Jiahao Wang, Xiaofeng Zhao, Min Zhang, Hao Yang, Meishan Zhang, YU LI, Jing Li, Jun Yu, Min Zhang
ICML 2025
CCF AF2STrans integrates function learning and style learning to improve LLM-based code translation.
System Report for CCL25-Eval Task 10: SRAG-MAV for Fine-Grained Chinese Hate Speech Recognition
Jiahao Wang, Ramen Liu, Longhui Zhang, Jing Li
CCL 2025
The SRAG-MAV framework enhances fine-grained Chinese hate speech recognition via self-retrieval and multi-model voting.