Jieke Shi

According to our database, Jieke Shi authored at least 54 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Can LLMs Deobfuscate Binary Code? A Systematic Analysis of Large Language Models into Pseudocode Deobfuscation.

Li Hu, Xiuwei Shang, Jieke Shi, Shaoyin Cheng, Junqi Zhang, Gangyang Li, Zhou Yang, Weiming Zhang, David Lo

CoRR, April, 2026

AgentSZZ: Teaching the LLM Agent to Play Detective with Bug-Inducing Commits.

Yunbo Lyu, Jieke Shi, Hong Jin Kang, Ratnadira Widyasari, Junda He, Yuqing Niu, Chengran Yang, Junkai Chen, Zhou Yang, Julia Lawall, David Lo

CoRR, April, 2026

Compiling Code LLMs into Lightweight Executables.

Jieke Shi, Junda He, Zhou Yang, Chengran Yang, Mykhailo V. Klymenko, Thong Hoang, Xiwei Xu, Zhenchang Xing, David Lo

CoRR, March, 2026

Finding Memory Leaks in C/C++ Programs via Neuro-Symbolic Augmented Static Analysis.

Huihui Huang, Jieke Shi, Bo Wang, Zhou Yang, David Lo

CoRR, March, 2026

ESG Reporting Lifecycle Management with Large Language Models and AI Agents.

Thong Hoang, Mykhailo V. Klymenko, Xiwei Xu, Shidong Pan, Yi Ding, Xushuo Tang, Zhengyi Yang, Jieke Shi, David Lo

CoRR, March, 2026

Hidden Licensing Risks in the LLMware Ecosystem.

Bo Wang, Yueyang Chen, Jieke Shi, Minghui Li, Yunbo Lyu, Yinan Wu, Youfang Lin, Zhou Yang

CoRR, February, 2026

Beyond Function-Level Analysis: Context-Aware Reasoning for Inter-Procedural Vulnerability Detection.

Yikun Li, Ting Zhang, Jieke Shi, Chengran Yang, Junda He, Xin Zhou, Jinfeng Jiang, Huihui Huang, Wen Bin Leow, Yide Yin, Eng Lieh Ouh, Lwin Khin Shar, David Lo

CoRR, February, 2026

Ecosystem of Large Language Models for Code.

Zhou Yang, Jieke Shi, Premkumar T. Devanbu, David Lo

ACM Trans. Softw. Eng. Methodol., January, 2026

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, David Lo

CoRR, January, 2026

LIDL: LLM Integration Defect Localization via Knowledge Graph-Enhanced Multi-Agent Analysis.

Gou Tan, Zilong He, Min Li, Pengfei Chen, Jieke Shi, Zhensu Sun, Ting Zhang, Danwen Chen, Lwin Khin Shar, Chuanfu Zhang, David Lo

CoRR, January, 2026

2025

What You Trust Is Insecure: Demystifying How Developers (Mis)Use Trusted Execution Environments in Practice.

Yuqing Niu, Jieke Shi, Ruidong Han, Ye Liu, Chengyan Ma, Yunbo Lyu, David Lo

CoRR, December, 2025

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, David Lo

CoRR, October, 2025

Semantics-Aligned, Curriculum-Driven, and Reasoning-Enhanced Vulnerability Repair Framework.

Chengran Yang, Ting Zhang, Jinfeng Jiang, Xin Zhou, Haoye Tian, Jieke Shi, Junkai Chen, Yikun Li, Eng Lieh Ouh, Lwin Khin Shar, David Lo

CoRR, October, 2025

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, David Lo

ACM Trans. Softw. Eng. Methodol., September, 2025

SecureAgentBench: Benchmarking Secure Code Generation under 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, David Lo

CoRR, September, 2025

Mut4All: Fuzzing Compilers via LLM-Synthesized Mutators Learned from Bug Reports.

Bo Wang, Pengyang Wang, Chong Chen, Qi Sun, Jieke Shi, Chengran Yang, Ming Deng, Youfang Lin, Zhou Yang, David Lo

CoRR, July, 2025

SLICEMATE: Accurate and Scalable Static Program Slicing via LLM-Powered Agents.

Jianming Chang, Jieke Shi, Yunbo Lyu, Xin Zhou, Lulu Wang, Zhou Yang, Bixin Li, David Lo

CoRR, July, 2025

Back to the Basics: Rethinking Issue-Commit Linking with LLM-Assisted Retrieval.

Huihui Huang, Ratnadira Widyasari, Ting Zhang, Ivana Clairine Irsan, Jieke Shi, Han Wei Ang, Frank Liauw, Eng Lieh Ouh, Lwin Khin Shar, Hong Jin Kang, David Lo

CoRR, July, 2025

Efficient and Green Large Language Models for Software Engineering: Literature Review, Vision, and the Road Ahead.

Jieke Shi, Zhou Yang, David Lo

ACM Trans. Softw. Eng. Methodol., June, 2025

Prioritizing Speech Test Cases.

Zhou Yang, Jieke Shi, Muhammad Hilmi Asyrofi, Bowen Xu, Xin Zhou, Dong-Gyun Han, David Lo

ACM Trans. Softw. Eng. Methodol., May, 2025

Think Like Human Developers: Harnessing Community Knowledge for Structured Code Reasoning.

Chengran Yang, Zhensu Sun, Hong Jin Kang, Jieke Shi, David Lo

CoRR, March, 2025

From Code to Courtroom: LLMs as the New Software Judges.

Junda He, Jieke Shi, Terry Yue Zhuo, Christoph Treude, Jiamou Sun, Zhenchang Xing, Xiaoning Du, David Lo

CoRR, March, 2025

"My productivity is boosted, but ..." Demystifying Users' Perception on AI Coding Assistants.

Yunbo Lyu, Zhou Yang, Jieke Shi, Jianming Chang, Yue Liu, David Lo

Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

2024

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, David Lo

IEEE Trans. Software Eng., December, 2024

SEA4DQ 2024 Workshop Summary.

Tim Menzies, Bowen Xu, Hong Jin Kang, Jie M. Zhang, Jiri Gesi, Sagar Sen, Beatriz Cassoli, Nicolas Jourdan, Jieke Shi, Phu Hong Nguyen, Valentina Golendukhina

ACM SIGSOFT Softw. Eng. Notes, October, 2024

Stealthy Backdoor Attack for Code Models.

Zhou Yang, Bowen Xu, Jie M. Zhang, Hong Jin Kang, Jieke Shi, Junda He, David Lo

IEEE Trans. Software Eng., April, 2024

ACECode: A Reinforcement Learning Framework for Aligning Code Efficiency and Correctness in Code Language Models.

Chengran Yang, Hong Jin Kang, Jieke Shi, David Lo

CoRR, 2024

Synthesizing Efficient and Permissive Programmatic Runtime Shields for Neural Policies.

Jieke Shi, Junda He, Zhou Yang, Dorde Zikelic, David Lo

CoRR, 2024

Ecosystem of Large Language Models for Code.

Zhou Yang, Jieke Shi, David Lo

CoRR, 2024

Efficient and Green Large Language Models for Software Engineering: Vision and the Road Ahead.

Jieke Shi, Zhou Yang, David Lo

CoRR, 2024

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

Proceedings of the IEEE Symposium on Security and Privacy, 2024

Greening Large Language Models of Code.

Jieke Shi, Zhou Yang, Hong Jin Kang, Bowen Xu, Junda He, David Lo

Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Society, 2024

Curiosity-Driven Testing for Sequential Decision-Making Process.

Junda He, Zhou Yang, Jieke Shi, Chengran Yang, Kisub Kim, Bowen Xu, Xin Zhou, David Lo

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Unveiling Memorization in Code Models.

Zhou Yang, Zhipeng Zhao, Chenyu Wang, Jieke Shi, Dongsun Kim, DongGyun Han, David Lo

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023

Towards Smaller, Faster, and Greener Language Models of Code.

Jieke Shi, Zhou Yang, Hong Jin Kang, Bowen Xu, Junda He, David Lo

CoRR, 2023

What Do Code Models Memorize? An Empirical Study on Large Language Models of Code.

Zhou Yang, Zhipeng Zhao, Chenyu Wang, Jieke Shi, Dongsun Kim, DongGyun Han, David Lo

CoRR, 2023

Prioritizing Speech Test Cases.

Zhou Yang, Jieke Shi, Muhammad Hilmi Asyrofi, Bowen Xu, Xin Zhou, DongGyun Han, David Lo

CoRR, 2023

What Do Users Ask in Open-Source AI Repositories? An Empirical Study of GitHub Issues.

Zhou Yang, Chenyu Wang, Jieke Shi, Thong Hoang, Pavneet Singh Kochhar, Qinghua Lu, Zhenchang Xing, David Lo

Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

2022

Mind Your Data! Hiding Backdoors in Offline Reinforcement Learning Datasets.

Chen Gong, Zhou Yang, Yunpeng Bai, Junda He, Jieke Shi, Arunesh Sinha, Bowen Xu, Xinwen Hou, Guoliang Fan, David Lo

CoRR, 2022

Revisiting Neuron Coverage Metrics and Quality of Deep Neural Networks.

Zhou Yang, Jieke Shi, Muhammad Hilmi Asyrofi, David Lo

Proceedings of the IEEE International Conference on Software Analysis, 2022

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, David Lo

Proceedings of the IEEE International Conference on Software Analysis, 2022

Can Identifier Splitting Improve Open-Vocabulary Language Model of Code?

Jieke Shi, Zhou Yang, Junda He, Bowen Xu, David Lo

Proceedings of the IEEE International Conference on Software Analysis, 2022

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, David Lo

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Compressing Pre-trained Models of Code into 3 MB.

Jieke Shi, Zhou Yang, Bowen Xu, Hong Jin Kang, David Lo

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Natural Attack for Pre-trained Models of Code.

Zhou Yang, Jieke Shi, Junda He, David Lo

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

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

Proceedings of the Annual Computer Security Applications Conference, 2022

2021

Ontology negotiation: Knowledge interchange between distributed ontologies through agent negotiation.

Junwu Zhu, Ling Teng, Huimin Lu, Jieke Shi, Bin Li

Concurr. Comput. Pract. Exp., 2021

IncBL: Incremental Bug Localization.

Zhou Yang, Jieke Shi, Shaowei Wang, David Lo

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

BiasHeal: On-the-Fly Black-Box Healing of Bias in Sentiment Analysis Systems.

Zhou Yang, Harshit Jain, Jieke Shi, Muhammad Hilmi Asyrofi, David Lo

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2021

Can Differential Testing Improve Automatic Speech Recognition Systems?

Muhammad Hilmi Asyrofi, Zhou Yang, Jieke Shi, Chu Wei Quan, David Lo

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2021

2020

An auction-based rescue task allocation approach for heterogeneous multi-robot system.

Jieke Shi, Zhou Yang, Junwu Zhu

Multim. Tools Appl., 2020

Network-aware Virtual Machine Migration Based on Gene Aggregation Genetic Algorithm.

Yi Jiang, Jinjin Wang, Jieke Shi, Junwu Zhu, Ling Teng

Mob. Networks Appl., 2020

2019

A real-time decentralized algorithm for task scheduling in multi-agent system with continuous damage.

Junwu Zhu, Jieke Shi, Zhou Yang, Bin Li

Appl. Soft Comput., 2019

An Efficient Double Auction Mechanism for Job Allocation.

Jieke Shi, Junwu Zhu, Jian Li, Fang Liu, Yunbo Lv

Proceedings of the 23rd IEEE International Conference on Computer Supported Cooperative Work in Design, 2019