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Yuling Shi

Ph.D. Candidate
Shanghai Jiao Tong University
yuling.shi@sjtu.edu.cn



πŸ™‹ About Me

Hi, I am a fourth 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. I’m grateful to be advised by Prof. Xiaodong Gu and Prof. Beijun Shen.

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.

We have multiple potential projects available with abundant computing resources! If you are interested in collaboration or internship (remote is also welcome), please feel free to contact me.

🧐 Research Interests

  • Software Engineering: code generation, code debugging, software issue resolution, code question answering
  • Natural Language Processing: post training, retrieval augmented generation, multi-agent systems

πŸ“° News

  • [2026.01] Serving as PC member of AIware 2026; submissions are welcome
  • [2026.01] Awarded Shanghai Association for Artificial Intelligence Youth Outstanding Paper Award
  • [2026.01] Two papers accepted by ICLR 2026
  • [2026.01] One paper accepted by WWW 2026 GLOW Workshop
  • [2025.11] Invited talk at Ant Group: "How to understand and debug large and complex programs?"
  • [2025.11] Invited talk at CCF Synonym: "Hierarchical debugging with LLMs."
  • [2025.11] Invited talk at CCF Synonym: "How to compress long code context?"
  • [2025.12] Won 9th place in Shanghai University Table Tennis Men’s Singles Championship
  • [2025.12] One paper accepted by FSE 2026
  • [2025.12] Three papers accepted by AAMAS 2026
  • [2025.10] Invited talk at ByteDance Software Engineering Lab: "Dealing with long context problem in SE."
  • [2025.12] One paper accepted by ICSE 2026 SEIP track
  • [2025.12] Two papers accepted by ICSE 2026
  • [2025.10] One paper accepted by ICSE 2026
  • [2025.10] One paper accepted by ASE 2025
  • [2025.08] One paper accepted by EMNLP 2025 Findings
  • [2025.05] One paper accepted by ACL 2025 KnowFM Workshop
  • [2024.10] Invited talk at Tongyi Lab, Alibaba: "Hierarchical debugging with LLMs."
  • [2024.08] Invited talk at CCF Synonym: "How to detect LLM generated code?"
  • [2024.07] One paper accepted by ICSE 2025

πŸ“ Publications

† denotes equal contribution.

Selected Publications

  • From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging
    ICSE 2026
    Yuling Shi, Songsong Wang, Chengcheng Wan, Min Wang, Xiaodong Gu

  • SWE-Debate: Competitive Multi-Agent Debate for Software Issue Resolution
    ICSE 2026
    Han Li†, Yuling Shi†, Shaoxin Lin, Xiaodong Gu, Heng Lian, Xin Wang, Yantao Jia, Tao Huang, Qianxiang Wang

  • LongCodeZip: Compress Long Context for Code Language Models
    ASE 2025
    Yuling Shi, Yichun Qian, Hongyu Zhang, Beijun Shen, Xiaodong Gu

  • Between Lines of Code: Unraveling the Distinct Patterns of Machine and Human Programmers
    ICSE 2025
    Yuling Shi, Hongyu Zhang, Chengcheng Wan, Xiaodong Gu

Other Publications β€” click to expand

  • Robust Preference Alignment via Directional Neighborhood Consensus
    ICLR 2026
    Ruochen Mao, Yuling Shi, Xiaodong Gu, Jiaheng Wei

  • Attention as a Compass: Efficient Exploration for Process-Supervised RL in Reasoning Models
    ICLR 2026
    Runze Liu, Jiakang Wang, Yuling Shi, Zhihui Xie, Chenxin An, Kaiyan Zhang, Jian Zhao, Xiaodong Gu, Lei Lin, Wenping Hu, Xiu Li, Fuzheng Zhang, Guorui Zhou, Kun Gai

  • In Line with Context: Repository-Level Code Generation via Context Inlining
    FSE 2026
    Chao Hu, Wenhao Zeng, Yuling Shi, Beijun Shen, Xiaodong Gu

  • EVOC2RUST: A Skeleton-guided Framework for Project-Level C-to-Rust Translation
    ICSE 2026 SEIP
    Chaofan Wang, Tingrui Yu, Chen Xie, Jie Wang, Dong Chen, Wenrui Zhang, Yuling Shi, Xiaodong Gu, Beijun Shen

  • Reasoning in Trees: Improving Retrieval-Augmented Generation for Multi-Hop Question Answering
    WWW 2026 GLOW
    Yuling Shi, Maolin Sun, Zijun Liu, Mo Yang, Yixiong Fang, Tianran Sun, Xiaodong Gu

  • HyperAgent: Leveraging Hypergraphs for Topology Optimization in Multi-Agent Communication
    AAMAS 2026
    Heng Zhang, Yuling Shi, Xiaodong Gu, Zijian Zhang, Haochen You, Lubin Gan, Yilei Yuan, Jin Huang

  • GraphTracer: Graph-Guided Failure Tracing in LLM Agents for Robust Multi-Turn Deep Search
    AAMAS 2026
    Heng Zhang, Yuling Shi, Xiaodong Gu, Haochen You, Zijian Zhang, Lubin Gan, Yilei Yuan, Jin Huang

  • D3MAS: Decompose, Deduce, and Distribute for Enhanced Knowledge Sharing in Multi-Agent Systems
    AAMAS 2026
    Heng Zhang, Yuling Shi, Xiaodong Gu, Haochen You, Zijian Zhang, Lubin Gan, Yilei Yuan, Jin Huang

  • LastingBench: Defend Benchmarks Against Knowledge Leakage
    EMNLP 2025 Findings
    Yixiong Fang, Tianran Sun, Yuling Shi, Min Wang, Xiaodong Gu

  • AttentionRAG: Attention-Guided Context Pruning in Retrieval-Augmented Generation
    ACL 2025 KnowFM
    Yixiong Fang, Tianran Sun, Yuling Shi, Xiaodong Gu

  • A Morley-Wang-Xu element method for a fourth order elliptic singular perturbation problem
    Journal of Scientific Computing (Q1), 2021
    Xuehai Huang, Yuling Shi and Wenqing Wang

Selected Preprints

  • CodeOCR: On the Effectiveness of Vision Language Models in Code Understanding
    Preprint
    Yuling Shi, Chaoxiang Xie, Zhensu Sun, Yeheng Chen, Chenxu Zhang, Longfei Yun, Chengcheng Wan, Hongyu Zhang, David Lo, Xiaodong Gu

  • SWE-Pruner: Self-Adaptive Context Pruning for Coding Agents
    Preprint
    Yuhang Wang†, Yuling Shi†, Mo Yang, Rongrui Zhang, Shilin He, Heng Lian, Yuting Chen, Siyu Ye, Kai Cai, Xiaodong Gu

  • Progressive Supernet Training for Efficient Visual Autoregressive Modeling
    Preprint
    Xiaoyue Chen†, Yuling Shi†, Kaiyuan Li†, Huandong Wang, Yong Li, Xiaodong Gu, Xinlei Chen, Mingbao Lin

Other Preprints β€” click to expand

  • Rethinking the Value of Agent-Generated Tests for LLM-Based Software Engineering Agents
    Preprint
    Zhi Chen, Zhensu Sun, Yuling Shi, Chao Peng, Xiaodong Gu, David Lo, Lingxiao Jiang

  • GlimpRouter: Efficient Collaborative Inference by Glimpsing One Token of Thoughts
    Preprint
    Wenhao Zeng, Xuteng Zhang, Yuling Shi, Chao Hu, Yuting Chen, Beijun Shen, Xiaodong Gu

  • SWE-Exp: Experience-Driven Software Issue Resolution
    Preprint
    Silin Chen, Shaoxin Lin, Yuling Shi, Heng Lian, Xiaodong Gu, Longfei Yun, Dong Chen, Lin Cao, Jiyang Liu, Nu Xia, Qianxiang Wang

  • SWE-QA: Can Language Models Answer Repository-level Code Questions?
    Preprint
    Weihan Peng, Yuling Shi, Yuhang Wang, Xinyun Zhang, Beijun Shen, Xiaodong Gu

  • Fed-SE: Federated Self-Evolution for Privacy-Constrained Multi-Environment LLM Agents
    Preprint
    Xiang Chen, Yuling Shi, Qizhen Lan, Yuchao Qiu, Min Wang, Xiaodong Gu, Yanfu Yan

  • Pruning the Unsurprising: Efficient Code Reasoning via First-Token Surprisal
    Preprint
    Wenhao Zeng, Yaoning Wang, Chao Hu, Yuling Shi, Chengcheng Wan, Hongyu Zhang, Xiaodong Gu

  • Test vs Mutant: Adversarial LLM Agents for Robust Unit Test Generation
    Preprint
    Pengyu Chang, Yixiong Fang, Silin Chen, Yuling Shi, Beijun Shen, Xiaodong Gu

  • DLLM-Searcher: Adapting Diffusion Large Language Model for Search Agents
    Preprint
    Jiahao Zhao, Shaoxuan Xu, Zhongxiang Sun, Fengqi Zhu, Jingyang Ou, Yuling Shi, Chongxuan Li, Xiao Zhang, Jun Xu

πŸ‘¨β€πŸ’» Experiences

  • Research Intern at Microsoft Research, 2022.03-2022.09
    • Grateful to be advised by Dr. Yufan Huang and Dr. Maoquan Wang to work on analyzing neural representations of code. Some of my work contributed to the following paper on EMNLP 2023. [pdf]

πŸ“£ Invited Talks

  • How to understand and debug large and complex programs? at Ant Group, November 2025
  • Hierarchical debugging with LLMs. at CCF Synonym, November 2025
  • How to compress long code context? at CCF Synonym, November 2025
  • Dealing with long context problem in SE. at Software Engineering Lab, ByteDance, October 2025
  • Hierarchical debugging with LLMs. at Tongyi Lab, Alibaba, October 2024
  • How to detect LLM generated code? at CCF Synonym, August 2024

πŸ“š Teaching

  • Teaching Assistant for "Machine Learning" (Fall 2022, Fall 2023, Spring 2024, Spring 2025)
  • Teaching Assistant for "Math for Machine Learning" (Spring 2024)
  • Teaching Assistant for FL4207 "Application of LLMs" (Fall 2025)

πŸ’Ό Services

  • Conference Reviewer: ICLR 2025, ARR Oct 2025, ICLR 2026, ICSE 2026 (Shadow PC), CVPR 2026, ICML 2026, AIware 2026, ARR Jan 2026
  • Journal Reviewer: TSE, TMLR

πŸ† Awards

  • πŸ₯‡ Shanghai Association for Artificial Intelligence Youth Outstanding Paper Award
  • πŸ“ Ninth place in Shanghai University Table Tennis Men’s Singles Championship
  • πŸ† National Scholarship
  • πŸ“ Fifth place in Shanghai Table Tennis Doubles Championship and third place in teams representing my university
  • πŸ† First Prize in National Olympiad in Physics at High school (Provincial Area)

πŸ“– Materials to share

  • πŸ”₯ 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!


The truth is lived, not taught. -Hermann Hesse

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