[Yi Wu :)]

Yi Wu

Ph.D. Student
Department of Computer Science
Purdue University
Research Interests
  • AI for SE
  • LLM for code
  • Large Language Model
  • Reasoning and Planning

I am currently a Ph.D. student working with Prof. Lin Tan in the Department of Computer Science at Purdue University. My research focuses on leveraging AI techniques to enhance software engineering (SE) practices. Recently, I work on applying and enhancing LLMs for coding tasks, includig code repair and security fixing. I also work on improving the reasoning and planning abilities of LLMs for AI agents.

Publications
[ICRA 2025] SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models
Yi Wu, Zikang Xiong, Yiran Hu, Shreyash S. Iyengar, Nan Jiang, Aniket Bera, Lin Tan, and Suresh Jagannathan.
[PDF] [Code is coming!]
[ISSTA 2023] How Effective Are Neural Networks for Fixing Security Vulnerabilities.
Yi Wu, Nan Jiang, Hung Viet Pham, Thibaud Lutellier, Jordan Davis, Lin Tan, Petr Babkin, and Sameena Shah.
[PDF] [URL] [Code]
[ASE SRC 2020] Anti-patterns for Java Automated Program Repair Tools. (Won 1st Place)
Yi Wu.
[PDF] [Poster] [URL]
Education
Ph.D. in Computer Science
Advisor: Prof. Lin Tan
West Lafayette, USA
B.E. in Computer Science
Shenzhen, China
Experience
Internship
AI Research Associate, JPMorgan Chase & Co
Teaching
Teaching Assistant, CS408 Software Testing, Purdue University
Teaching Assistant, CS307 Software Engineering, Purdue University
Teaching Assistant, CS251 Data Structures and Algorithms, Purdue University
-->