朱浩

Hao Zhu

博士生 · 2024 年入学

zhuhao@stu.pku.edu.cn 个人主页

简介

我是朱浩，北京大学计算机学院高可信软件技术教育部重点实验室二年级博士研究生，导师是李戈教授。我的研究方向为代码安全分析（漏洞检测、漏洞利用、安全代码生成）与智能化软件开发，包括面向代码的大语言模型（LLMs for Code）研究。

论文 (15)

arXiv 论文 (5)

[arXiv 2026] Huanyu Liu, Ge Li, Yihong Dong, Sihan Wu, Peixu Wang, Sihao Cheng, Taozhi Chen, Kechi Zhang, Hao Zhu, Tongxuan Liu; Do Transformers Have the Ability for Periodicity Generalization?; arXiv preprint, arXiv:2601.22690, 2026. PDF
[arXiv 2025] Kechi Zhang, Ge Li, Jia Li, Huangzhao Zhang, Jingjing Xu, Hao Zhu, Lecheng Wang, Yihong Dong, Jing Mai, Bin Gu, Zhi Jin; Computational Thinking Reasoning in Large Language Models; arXiv preprint, arXiv:2506.02658, 2025. PDF
[arXiv 2025] Ziliang Wang, Ge Li, Jia Li, Hao Zhu, Zhi Jin; VulAgent: Hypothesis-Validation based Multi-Agent Vulnerability Detection; arXiv preprint, arXiv:2509.11523, 2025. PDF
[arXiv 2025] Hao Zhu, Jia Li, Cuiyun Gao, Jiaru Qian, Yihong Dong, Huanyu Liu, Lecheng Wang, Ziliang Wang, Xiaolong Hu, Ge Li; Specification-Guided Vulnerability Detection with Large Language Models; arXiv preprint, arXiv:2511.04014, 2025. PDF
[arXiv 2024] Jia Li, Ge Li, Lecheng Wang, Hao Zhu, Zhi Jin; Generating Equivalent Representations of Code By A Self-Reflection Approach; arXiv preprint, arXiv:2410.03351, 2024. PDF

已发表论文 (10)

[FSE 2026] Hao Zhu, Jia Li, Cuiyun Gao, Jiaru Qian, Yihong Dong, Huanyu Liu, Lecheng Wang, Ziliang Wang, Xiaolong Hu, Ge Li; VulInstruct: Teaching LLMs Root-Cause Reasoning for Vulnerability Detection via Security Specifications; Proceedings of the ACM International Conference on the Foundations of Software Engineering (FSE 2026), Montreal, Canada.
[ACL 2026] Xue Jiang, Ge Li, Jiaru Qian, Xianjie Shi, Chenjie Li, Hao Zhu, Ziyu Wang, Jielun Zhang, Zheyu Zhao, Lingwei Wu, Kechi Zhang, Jia Li, Wenpin Jiao, Zhi Jin, Yihong Dong; KOCO-BENCH: Can Large Language Models Leverage Domain Knowledge in Software Development?; Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026), San Diego, California, USA. PDF
[ASE 2026] Xin-Cheng Wen, Hanyue Luo, Cuiyun Gao, Hao Zhu, Yang Xiao, Ge Li; Perception, Reasoning, and Action: A ReAct-based Vulnerability Detection Framework with Repository-Level Reasoning; 41st IEEE/ACM International Conference on Automated Software Engineering (ASE 2026).
[ICSE 2025] Siyuan Jiang, Jia Li, He Zong, Huanyu Liu, Hao Zhu, Shukai Hu, Erlu Li, Jiazheng Ding, Yu Han, Wei Ning, Ge Li; aiXcoder-7B: A Lightweight and Effective Large Language Model for Code Completion; Proceedings of the 47th IEEE/ACM International Conference on Software Engineering (ICSE 2025), Ottawa, Ontario, Canada.
[ASE 2025] Jia Li, Hao Zhu, Huanyu Liu, Xianjie Shi, He Zong, Yihong Dong, Kechi Zhang, Siyuan Jiang, Zhi Jin, Ge Li; aiXcoder-7B-v2: Training LLMs to Fully Utilize the Long Context in Repository-level Code Completion; Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering (ASE 2025), Seoul, South Korea. PDF
[NeurIPS 2025] Yihong Dong, Ge Li, Xue Jiang, Yongding Tao, Kechi Zhang, Lecheng Wang, Hao Zhu, Huanyu Liu, Jia Li, Jinliang Deng, Hong Mei; Reasoning is Periodicity? Improving Large Language Models Through Effective Periodicity Modeling; Proceedings of the 39th Annual Conference on Neural Information Processing Systems (NeurIPS 2025), San Diego, CA. PDF
[NeurIPS 2025] Huanyu Liu, Ge Li, Jia Li, Hao Zhu, Kechi Zhang, Yihong Dong; SATURN: SAT-based Reinforcement Learning to Unleash LLMs Reasoning; Proceedings of the 39th Annual Conference on Neural Information Processing Systems (NeurIPS 2025), San Diego, CA, USA. PDF
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[ACL 2024] Jia Li, Ge Li, Yunfei Zhao, Yongmin Li, Zhi Jin, Hao Zhu, Huanyu Liu, Kaibo Liu, Lecheng Wang, Zheng Fang, Lanshen Wang, Jiazheng Ding, Xuanming Zhang, Yihong Dong, Yuqi Zhu; DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories; Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), Bangkok, Thailand.
[IJCAI 2020] Wenjie Zhang, Zeyu Sun, Qihao Zhu, Ge Li, Shaowei Cai, Yingfei Xiong, Lu Zhang; NLocalSAT: Boosting Local Search with Solution Prediction; Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI 2020), Yokohama, Japan.
[AAAI 2019] Zeyu Sun, Qihao Zhu, Lili Mou, Yingfei Xiong, Ge Li, Lu Zhang; A Grammar-Based Structural CNN Decoder for Code Generation; Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI 2019), Honolulu, Hawaii, USA.