About me
Bio
Hi, I am a forth year Ph.D. student in the LLM for Software Engineering Lab (LLMSE), affiliated with the School of Software at Shanghai Jiao Tong University in China. Iβm grateful to be advised by Prof. Xiaodong Gu and Prof. Beijun Shen.
My main research interests are in the field of Natural Language Processing and Software Engineering. Some of my recent projects can be found in my Github homepage here. Feel free to contact me if you are interested in my work or have any questions.
Preprints
SWE-Debate: Competitive Multi-Agent Debate for Software Issue Resolution
TL;DR: A competitive multi-agent debate framework for software issue resolution.
β Equal contribution
SWE-Exp: Experience-Driven Software Issue Resolution
TL;DR: An experience-driven approach for software issue resolution.
EVOC2RUST: A Skeleton-guided Framework for Project-Level C-to-Rust Translation
TL;DR: An automated framework for converting entire C projects to equivalent Rust ones using skeleton-guided translation strategy.
Pruning the Unsurprising: Efficient Code Reasoning via First-Token Surprisal
TL;DR: A novel coarse-to-fine framework for Chain-of-Thought compression in code reasoning tasks.
From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging
TL;DR: A multi-level LLM debugger.
Publications
LastingBench: Defend Benchmarks Against Knowledge Leakage
EMNLP 2025 Findings
TL;DR: A framework to continuously reinforce and safeguard existing benchmarks against knowledge leakage.
AttentionRAG: Attention-Guided Context Pruning in Retrieval-Augmented Generation
ACL 2025 Workshop
TL;DR: An attention-guided context compression method for long context scenarios.
Between Lines of Code: Unraveling the Distinct Patterns of Machine and Human Programmers
ICSE 2025
TL;DR: A zero-shot LLM-generated code detector.
A Morley-Wang-Xu element method for a fourth order elliptic singular perturbation problem
Journal of Scientific Computing (Q1), 2021
TL;DR: A FEM solver for PDEs.
Experiences
Research Intern at Microsoft, 2023
- Iβm grateful to be advised by Dr. Yufan Huang and Dr. Maoquan Wang to work on analyzing neural representations of code. And some of my work contributed to the following paper on EMNLP 2023. [pdf]
Teaching
- Teaching Assistant for βMachine Learningβ (Fall 2022, Fall 2023, Spring 2024, Spring 2025)
- Teaching Assistant for βMath for Machine Learningβ (Spring 2024)
Services
- Reviewer for ICLR 2025, ICLR 2026
- Shadow PC for ICSE 2026
Awards
- National Scholarship
- Fifth place in Shanghai Table Tennis Doubles Championship and third place in teams representing my university
- First Prize in National Olympiad in Physics at High school (Provincial Area)
Materials to share
- π₯ A collection of resources for repo-level code generation. [Github]
- A simple script to detect word by word plagiarism for Academic Writing course in SJTU. [Github]
Thank you for visiting my homepage!