Hi! I’m Jie Wu, currently a first-year M.S. student in Artificial Intelligence at SIGS, Tsinghua University, where I am fortunate to be advised by Prof. Yujiu Yang.

Prior to this, I studied under the guidance of Prof. Zheng Wang and Assoc. Prof. Zuchao Li.

I am focusing on post-training for Code LLMs, under the advice of Researcher Xin Zhang.

Education

• Aug. 2024 - Jun. 2027 M.Sc., SIGS, Tsinghua University, Shenzhen, China.

• Sep. 2020 - Jun. 2024 B.Sc., School of Computer Science, Wuhan Univeristy, China.
  GPA: 3.98/4.0, Rank: 1/226

Publications

• [arXiv 2025] Focal Preference Learning for Code Generation via Iterative Debugging
  Jie Wu*, Haoling Li*, Xin Zhang*, Jianwen Luo, Yangyu Huang, Ruihang Chu †, Yujiu Yang, Scarlett Li

• [ICML 2025] EpiCoder: Encompassing Diversity and Complexity in Code Generation [code]
  Yaoxiang Wang*, Haoling Li*, Xin Zhang*, Jie Wu, Xiao Liu, Wenxiang Hu, Zhongxin Guo, Yangyu Huang, Ying Xin, Yujiu Yang†, Jinsong Su†, Qi Chen, Scarlett Li
  We introduce a novel feature tree-based synthesis framework for generating diverse and complex code instruction data, and present the EpiCoder series that achieve SOTA in both function and file-level code generation tasks.

• [MM MIS’24 Oral] Multi-modal Fake News Detection via Decision Uncertainty [code]
  Jie Wu, Danni Xu*, Wenxuan Liu, Joey Zhou, Yew Ong, Siyuan Hu, Hongyuan Zhu, Zheng Wang†
  We distinguish among uni-modal information sources through accurate estimation of their decision uncertainty, employing this uncertainty as a confidence measure and indicator of information imbalance to guide feature fusion.

Experience

• (Nov. 2024 - Present) Research Intern, Microsoft Asia, Beijing, China.
  Mentor: Researcher Xin Zhang
  Working on post-training for Code LLMs.

• (June. 2024 - Sep. 2024) Research Intern, Wuhan University, Wuhan, China.
  Advisor: Assoc. Prof. Zuchao Li
  Working on improving reasoning capability of LLMs in multi-doc reasoning.

• (Apri. 2023 - May. 2024) Research Intern, AIM Lab, Wuhan University, Wuhan, China.
  Advisor: Prof. Zheng Wang
  Working on effective detection for multi-modal misinformation.

Competitions

• (Nov. 2024) 1st Place (1/150) in NeurIPS 2024 LLM Merging Competition.
• (Nov. 2024) 4th Place (4/53) in Kingsoft Office Chineses Grammar Correction Competition.

Honors & Awards

• Top 1% Graduate, Wuhan University, 2024
• Outstanding Graduate Thesis, Wuhan University, 2024
• National Scholarship, Ministry of Education, China, 2023