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Jieke Shi

Research Scientist
NRF Postdoctoral Award Recipient
Singapore Management University (SMU)
jiekeshi (at) smu.edu.sg

Publications [Google Scholar][DBLP]

I believe great research thrives on collaboration. I aim to lead 1–2 first-author projects each year while dedicating the rest of my time to collaborating with peers and mentoring students.
📧 Corr. = corresponding author  ·  ⚖️ Co-1st = co-first author
For preprints, please refer to my Google Scholar or DBLP.

2026
  1. 33.
    Compiling Code LLMs into Lightweight Executables
    Jieke Shi, Junda He, Zhou Yang, Chengran Yang, Mykhailo Klymenko, Thong Hoang, Sherry Xu, Zhenchang Xing, and David Lo
    2026 ACM 34th International Conference on the Foundations of Software Engineering (FSE'26).
    Research Track
  2. 32.
    Automated Repair of TEE Partitioning Issues via DSL-Guided and LLM-Assisted Patching
    Chengyan Ma, Jieke Shi (📧 Corr.), Ruidong Han, Ye Liu, Feng Li, Yuqing Niu, and David Lo
    2026 ACM 34th International Conference on the Foundations of Software Engineering (FSE'26).
    Research Track
  3. 31.
    What You Trust Is Insecure: Demystifying How Developers (Mis)Use Trusted Execution Environments in Practice
    Yuqing Niu, Jieke Shi (📧 Corr.), Ruidong Han, Ye Liu, Chengyan Ma, Yunbo Lyu, and David Lo
    2026 IEEE 33rd International Conference on Software Analysis, Evolution and Reengineering (SANER'26).
    PDF (12 pages) Code Research Track 🏆 IEEE Computer Society TCSE Distinguished Paper Award
  4. 30.
    Finding Missing Input Validation in TEEs via LLM-Assisted Symbolic Execution
    Chengyan Ma, Jieke Shi, Ruidong Han, Ye Liu, Yuqing Niu, and David Lo
    2026 ACM 3rd International Conference on AI Foundation Models and Software Engineering (FORGE'26).
    PDF (5 pages) New Idea Papers
  5. 29.
    Think Like Human Developers: Harnessing Community Knowledge for Structured Code Reasoning
    Chengran Yang, Zhensu Sun, Hong Jin Kang, Jieke Shi, and David Lo
    2026 IEEE/ACM 48th International Conference on Software Engineering (ICSE'26).
    PDF (12 pages) Research Track (1st Round) 🏆 ACM SIGSOFT Distinguished Paper Award
  6. 28.
    Back to the Basics: Rethinking Issue-Commit Linking with LLM-Assisted Retrieval
    Huihui Huang, Ratnadira Widyasari, Ting Zhang, Ivana Clairine Irsan, Jieke Shi (📧 Corr.), Han Wei Ang, Frank Liauw, Eng Lieh Ouh, Lwin Khin Shar, Hong Jin Kang, and David Lo
    2026 IEEE/ACM 48th International Conference on Software Engineering (ICSE'26).
    PDF (12 pages) Code Research Track (1st Round)
  7. 27.
    LLM-as-a-Judge for Software Engineering: Literature Review, Vision, and the Road Ahead
    Junda He, Jieke Shi, Terry Yue Zhuo, Christoph Treude, Jiamou Sun, Zhenchang Xing, Xiaoning Du, and David Lo
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2026.
    PDF (27 pages)
  8. 26.
    PenForge: On-the-Fly Expert Agent Construction for Automated Penetration Testing
    Huihui Huang, Jieke Shi, Junkai Chen, Ting Zhang, Yikun Li, Chengran Yang, Eng Lieh Ouh, Lwin Khin Shar, and David Lo
    2026 IEEE/ACM 48th International Conference on Software Engineering (ICSE'26).
    PDF (5 pages) Code NIER Track
  9. 25.
    SecureVibeBench: Evaluating Secure Coding Capabilities of Code Agents with Realistic Vulnerability Scenarios
    Junkai Chen, Huihui Huang, Yunbo Lyu, Junwen An, Jieke Shi, Chengran Yang, Ting Zhang, Haoye Tian, Yikun Li, Zhenhao Li, Xin Zhou, Xing Hu, and David Lo
    2026 64th Annual Meeting of the Association for Computational Linguistics (ACL'26).
    PDF (19 pages) Main Conference
  10. 24.
    SeCuRepair: Semantics-Aligned, Curriculum-Driven, and Reasoning-Enhanced Vulnerability Repair Framework
    Chengran Yang, Ting Zhang, Jinfeng Jiang, Xin Zhou, Haoye Tian, Mingzhe Du, Jieke Shi, Junkai Chen, Yikun Li, Eng Lieh Ouh, Lwin Khin Shar, and David Lo
    2026 64th Annual Meeting of the Association for Computational Linguistics (ACL'26).
    PDF (16 pages) Main Conference
2025
  1. 23.
    Synthesizing Efficient and Permissive Programmatic Runtime Shields for Neural Policies
    Jieke Shi, Junda He, Zhou Yang, Đorđe Žikelić, and David Lo
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025.
    PDF (38 pages) Code
  2. 22.
    Finding Safety Violations of AI-Enabled Control Systems through the Lens of Synthesized Proxy Programs
    Jieke Shi, Zhou Yang, Junda He, Bowen Xu, Dongsun Kim, DongGyun Han, and David Lo
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025.
    PDF (33 pages) Code
  3. 21.
    Efficient and Green Large Language Models for Software Engineering: Literature Review, Vision, and the Road Ahead
    Jieke Shi, Zhou Yang, and David Lo
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025.
    PDF (23 pages)
  4. 20.
    Ecosystem of Large Language Models for Code
    Zhou Yang, Jieke Shi (📧 Corr.), Premkumar Devanbu, and David Lo
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025.
    PDF (27 pages) Code
  5. 19.
    "My productivity is boosted, but ..." Demystifying Users' Perception on AI Coding Assistants
    Yunbo Lyu, Zhou Yang, Jieke Shi, Jianming Chang, Yue Liu, and David Lo
    2025 IEEE/ACM 40th International Conference on Automated Software Engineering (ASE'25).
    PDF (13 pages) Code Research Paper 🏆 ACM SIGSOFT Distinguished Paper Award
  6. 18.
    Prioritizing Speech Test Cases
    Zhou Yang, Jieke Shi, Muhammad Hilmi Asyrofi, Bowen Xu, Xin Zhou, DongGyun Han, and David Lo
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025.
    PDF (28 pages) Code
  7. 17.
    Gotcha! This Model Uses My Code! Evaluating Membership Leakage Risks in Code Models
    Zhou Yang, Zhipeng Zhao, Chenyu Wang, Jieke Shi, Dongsun Kim, DongGyun Han, and David Lo
    IEEE Transactions on Software Engineering (TSE), 2025.
    PDF (16 pages)
2024
  1. 16.
    Greening Large Language Models of Code
    Jieke Shi, Zhou Yang, Hong Jin Kang, Bowen Xu, Junda He, and David Lo
    2024 IEEE/ACM 46th International Conference on Software Engineering (ICSE'24).
    PDF (12 pages) Code SEIS Track 🏆 Most Cited Paper in SEIS Track
  2. 15.
    Stealthy Backdoor Attack for Code Models
    Zhou Yang, Bowen Xu, Jie M. Zhang, Hong Jin Kang, Jieke Shi, Junda He, and David Lo
    IEEE Transactions on Software Engineering (TSE), 2024.
    PDF (18 pages) Code 🏆 IEEE Computer Society Best Paper Award
  3. 14.
    BAFFLE: Hiding Backdoors in Offline Reinforcement Learning Datasets
    Chen Gong, Zhou Yang, Yunpeng Bai, Junda He, Jieke Shi, Kecen Li, Arunesh Sinha, Bowen Xu, Xinwen Hou, David Lo, Tianhao Wang
    2024 45th IEEE Symposium on Security and Privacy (S&P'24).
    PDF (16 pages) Code Main Track
  4. 13.
    Curiosity-Driven Testing for Sequential Decision-Making Process
    Junda He, Zhou Yang, Jieke Shi, Chengran Yang, Kisub Kim, Bowen Xu, Xin Zhou, and David Lo
    2024 IEEE/ACM 46th International Conference on Software Engineering (ICSE'24).
    PDF (13 pages) Code Research Track
  5. 12.
    Unveiling Memorization in Code Models
    Zhou Yang, Zhipeng Zhao, Chenyu Wang, Jieke Shi, Dongsun Kim, DongGyun Han, and David Lo
    2024 IEEE/ACM 46th International Conference on Software Engineering (ICSE'24).
    PDF (13 pages) Code Research Track
2023
  1. 11.
    What Do Users Ask in Open-Source AI Repositories? An Empirical Study of GitHub Issues
    Zhou Yang, Chenyu Wang, Jieke Shi, Thong Hoang, Pavneet Kochhar, Qinghua Lu, Zhenchang Xing, and David Lo
    2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR'23).
    PDF (12 pages) Code Technical Track
2022
  1. 10.
    Compressing Pre-trained Models of Code into 3 MB
    Jieke Shi, Zhou Yang, Bowen Xu, Hong Jin Kang, and David Lo
    2022 IEEE/ACM 37th International Conference on Automated Software Engineering (ASE'22).
    PDF (12 pages) Code Research Paper 🏆 ACM SIGSOFT Distinguished Paper Award Nomination
  2. 9.
    Can Identifier Splitting Improve Open-Vocabulary Language Model of Code?
    Jieke Shi, Zhou Yang, Junda He, Bowen Xu, and David Lo
    2022 IEEE 29th International Conference on Software Analysis, Evolution and Reengineering (SANER'22).
    PDF (5 pages) Code ERA Track
  3. 8.
    Curiosity-Driven and Victim-Aware Adversarial Policies
    Chen Gong, Zhou Yang, Yunpeng Bai, Jieke Shi, Arunesh Sinha, Bowen Xu, David Lo, Xinwen Hou, Guoliang Fan
    2022 39th Annual Computer Security Applications Conference (ACSAC'22).
    PDF (15 pages) Code Technical Paper 🏆 Honorable Mention Award
  4. 7.
    Revisiting Neuron Coverage Metrics and Quality of Deep Neural Networks
    Zhou Yang, Jieke Shi, Muhammad Hilmi Asyrofi, and David Lo
    2022 IEEE 29th International Conference on Software Analysis, Evolution and Reengineering (SANER'22).
    PDF (12 pages) Code RENE Track
  5. 6.
    Natural Attack for Pre-trained Models of Code
    Zhou Yang, Jieke Shi, Junda He, and David Lo
    2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE'22).
    PDF (12 pages) Code Technical Track
  6. 5.
    Answer Summarization for Technical Queries: Benchmark and New Approach
    Chengran Yang, Bowen Xu, Ferdian Thung, Yucen Shi, Ting Zhang, Zhou Yang, Xin Zhou, Jieke Shi, Junda He, DongGyun Han, and David Lo
    2022 IEEE/ACM 37th International Conference on Automated Software Engineering (ASE'22).
    PDF (12 pages) Code Research Paper
  7. 4.
    On the Influence of Biases in Bug Localization: Evaluation and Benchmark
    Ratnadira Widyasari, Stefanus Agus Haryono, Ferdian Thung, Jieke Shi, Constance Tan, Fiona Wee, Jack Phan, and David Lo
    2022 IEEE 29th International Conference on Software Analysis, Evolution and Reengineering (SANER'22).
    PDF (11 pages) Code RENE Track
2021
  1. 3.
    IncBL: Incremental Bug Localization
    Zhou Yang, Jieke Shi (⚖️ Co-1st), Shaowei Wang, and David Lo
    2021 IEEE/ACM 36th International Conference on Automated Software Engineering (ASE'21).
    PDF (4 pages) Code Tool Demonstrations
  2. 2.
    BiasHeal: On-the-Fly Black-Box Healing of Bias in Sentiment Analysis Systems
    Zhou Yang, Harshit Jain, Jieke Shi, Muhammad Hilmi Asyrofi, and David Lo
    2021 IEEE 37th International Conference on Software Maintenance and Evolution (ICSME'21).
    PDF (5 pages) Code NIER Track
  3. 1.
    Can Differential Testing Improve Automatic Speech Recognition Systems?
    Muhammad Hilmi Asyrofi, Zhou Yang, Jieke Shi, Chu Wei Quan, and David Lo
    2021 IEEE 37th International Conference on Software Maintenance and Evolution (ICSME'21).
    PDF (5 pages) Code NIER Track

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