https://scholar.google.com/citations?user=wIbgZVoAAAAJ
https://dblp.org/pid/246/7302.html
** Each of my works will be accompanied by open-source code for replication, if available.*
- Synthesizing Efficient and Permissive Programmatic Runtime Shields for Neural Policies
Jieke Shi, Junda He, Zhou Yang, Đorđe Žikelić, David Lo
ACM Transactions on Software Engineering and Methodology (TOSEM 2025, 38 Pages) [Code]
- **"My productivity is boosted, but ..." Demystifying Users' Perception on AI Coding Assistants**
Yunbo Lyu, Zhou Yang, Jieke Shi, Jianming Chang, Yue Liu, David Lo
2025 IEEE/ACM 40th International Conference on Automated Software Engineering (ASE 2025, Research Paper, 13 Pages) [Code]
- Think Like Human Developers: Harnessing Community Knowledge for Structured Code Reasoning
Chengran Yang, Zhensu Sun, Hong Jin Kang, Jieke Shi, David Lo
2026 IEEE/ACM 48th International Conference on Software Engineering (ICSE 2026, 1st Round, Research Track, 12 Pages)
- 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, David Lo
2026 IEEE/ACM 48th International Conference on Software Engineering (ICSE 2026, 1st Round, Research Track, 12 Pages) [Code]
- **Ecosystem of Large Language Models for Code**
Zhou Yang, **Jieke Shi (**📧 Corr.), Premkumar Devanbu, David Lo
ACM Transactions on Software Engineering and Methodology (TOSEM 2025, 27 Pages) [Code]
- **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, 33 Pages) [Code]
- **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, 23 Pages)
- **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, 28 Pages) [Code]
- **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, 16 Pages) [Code]
- **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, and Tianhao Wang
2024 45th IEEE Symposium on Security and Privacy (S&P 2024, Main Track, 16 Pages) [Code]
- **Stealthy Backdoor Attack for Code Models (🏆 IEEE Computer Society Best Paper Award)**
Zhou Yang, Bowen Xu, Jie M. Zhang, Hong Jin Kang, Jieke Shi, Junda He, and David Lo
IEEE Transactions on Software Engineering (TSE, 18 Pages) [Code]
- **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 2024, SEIS Track, 12 Pages) [Code]
- **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 2024, Research Track, 13 Pages) [Code]
- **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 2024, Research Track, 13 Pages) [Code]
- **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, David Lo
2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR 2023, Technical Track, 12 Pages) [Code]
- **Curiosity-Driven and Victim-Aware Adversarial Policies (**🏆 Honorable Mention Award)
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 2022, Technical Paper, 15 Pages) [Code]
- **Compressing Pre-trained Models of Code into 3 MB (**🏆 ACM SIGSOFT Distinguished Paper Award Nomination)
Jieke Shi, Zhou Yang, Bowen Xu, Hong Jin Kang, and David Lo
2022 IEEE/ACM 37th International Conference on Automated Software Engineering (ASE 2022, Research Paper, 12 Pages) [Poster][Code]
- **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 2022, Research Paper, 12 Pages) [Code]