About me

I am a Ph.D. student in Computer Science at Sun Yat-sen University (SYSU), advised by Prof. Jiahai Wang. I am expected to graduate in June 2027. From December 2024 to December 2025, I was a visiting Ph.D. student at Nanyang Technological University (NTU), where I worked with Prof. Wenya Wang. Prior to this, I received my M.Eng. degree from Central China Normal University in 2022 under the supervision of Prof. Jianwen Sun, and my B.Eng. degree from Tianjin University in 2018.

My current research focuses on LLM reasoning, post-training and reinforcement learning, and knowledge-grounded reasoning. More specifically, I am interested in adaptive and efficient reasoning, dynamic strategy selection, reasoning over knowledge graphs, and training or evaluation methods that improve the reliability and efficiency of large language models. I am also actively exploring how these methods can be transferred to real-world high-value tasks.

Selected Publications

[1] Jianpeng Zhou, et al. Policy-Guided Step-Wise Action Planning for Controllable LLM Reasoning. ACL 2026 Findings.

[2] Jianpeng Zhou, Wanjun Zhong, Yanlin Wang, Jiahai Wang. Adaptive-Solver Framework for Dynamic Strategy Selection in Large Language Model Reasoning. Information Processing & Management, 2025. [PDF] [CODE]

[3] Chenhui Liu, Jianpeng Zhou, et al. Chain-of-Relations: Faithful and Efficient LLM Reasoning over KGs via Relation-Centric Exploration. ACL 2026 Findings.

[4] Jianwen Sun (supervisor), Shangheng Du, Jianpeng Zhou (corresponding author), et al. Question Embedding on Weighted Heterogeneous Information Network for Knowledge Tracing. ACM Transactions on Knowledge Discovery from Data, 2024. [PDF] [CODE]

[5] Jianwen Sun (supervisor), Jianpeng Zhou, Sannüya Liu, Feijuan He, Yun Tang. Hierarchical Attention Network Based Interpretable Knowledge Tracing. Journal of Computer Research and Development, 2021. [PDF] [CODE]

[6] Jianwen Sun (supervisor), Jianpeng Zhou, Kai Zhang, Qing Li, Zijian Lu. Collaborative Embedding for Knowledge Tracing. International Conference on Knowledge Science, Engineering and Management (KSEM), 2021. [PDF] [CODE]