Jieke Shi - RankMe

64 papers A* 8A 7C 1Journal 47Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Function-Level Analysis: Context-Aware Reasoning for Inter-Procedural Vulnerability Detection. CoRR 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
2026	J	`jnl`	Compiling Code LLMs into Lightweight Executables. CoRR Jieke Shi, Junda He, Zhou Yang, Chengran Yang, Mykhailo V. Klymenko, Thong Hoang, Xiwei Xu, Zhenchang Xing, David Lo
2026	J	`jnl`	ESG Reporting Lifecycle Management with Large Language Models and AI Agents. CoRR Thong Hoang, Mykhailo V. Klymenko, Xiwei Xu, Shidong Pan, Yi Ding, Xushuo Tang, Zhengyi Yang, Jieke Shi, David Lo
2026	J	`jnl`	Ecosystem of Large Language Models for Code. ACM Trans. Softw. Eng. Methodol. Zhou Yang, Jieke Shi, Premkumar T. Devanbu, David Lo
2026	J	`jnl`	Finding Memory Leaks in C/C++ Programs via Neuro-Symbolic Augmented Static Analysis. CoRR Huihui Huang, Jieke Shi, Bo Wang, Zhou Yang, David Lo
2026	J	`jnl`	Hidden Licensing Risks in the LLMware Ecosystem. CoRR Bo Wang, Yueyang Chen, Jieke Shi, Minghui Li, Yunbo Lyu, Yinan Wu, Youfang Lin, Zhou Yang
2026	J	`jnl`	LIDL: LLM Integration Defect Localization via Knowledge Graph-Enhanced Multi-Agent Analysis. CoRR Gou Tan, Zilong He, Min Li, Pengfei Chen, Jieke Shi, Zhensu Sun, Ting Zhang, Danwen Chen, Lwin Khin Shar, Chuanfu Zhang, David Lo
2026	J	`jnl`	PenForge: On-the-Fly Expert Agent Construction for Automated Penetration Testing. CoRR Huihui Huang, Jieke Shi, Junkai Chen, Ting Zhang, Yikun Li, Chengran Yang, Eng Lieh Ouh, Lwin Khin Shar, David Lo
2025	A*	`conf`	"My productivity is boosted, but ..." Demystifying Users' Perception on AI Coding Assistants. ASE Yunbo Lyu, Zhou Yang, Jieke Shi, Jianming Chang, Yue Liu, David Lo
2025	J	`jnl`	"My productivity is boosted, but ..." Demystifying Users' Perception on AI Coding Assistants. CoRR Yunbo Lyu, Zhou Yang, Jieke Shi, Jianming Chang, Yue Liu, David Lo
2025	J	`jnl`	Back to the Basics: Rethinking Issue-Commit Linking with LLM-Assisted Retrieval. CoRR 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
2025	J	`jnl`	Curiosity-Driven Testing for Sequential Decision-Making Process. CoRR Junda He, Zhou Yang, Jieke Shi, Chengran Yang, Kisub Kim, Bowen Xu, Xin Zhou, David Lo
2025	J	`jnl`	Efficient and Green Large Language Models for Software Engineering: Literature Review, Vision, and the Road Ahead. ACM Trans. Softw. Eng. Methodol. Jieke Shi, Zhou Yang, David Lo
2025	J	`jnl`	Finding Safety Violations of AI-Enabled Control Systems through the Lens of Synthesized Proxy Programs. ACM Trans. Softw. Eng. Methodol. Jieke Shi, Zhou Yang, Junda He, Bowen Xu, Dongsun Kim, DongGyun Han, David Lo
2025	J	`jnl`	From Code to Courtroom: LLMs as the New Software Judges. CoRR Junda He, Jieke Shi, Terry Yue Zhuo, Christoph Treude, Jiamou Sun, Zhenchang Xing, Xiaoning Du, David Lo
2025	J	`jnl`	LLM-as-a-Judge for Software Engineering: Literature Review, Vision, and the Road Ahead. CoRR Junda He, Jieke Shi, Terry Yue Zhuo, Christoph Treude, Jiamou Sun, Zhenchang Xing, Xiaoning Du, David Lo
2025	J	`jnl`	Mut4All: Fuzzing Compilers via LLM-Synthesized Mutators Learned from Bug Reports. CoRR Bo Wang, Pengyang Wang, Chong Chen, Qi Sun, Jieke Shi, Chengran Yang, Ming Deng, Youfang Lin, Zhou Yang, David Lo
2025	J	`jnl`	Prioritizing Speech Test Cases. ACM Trans. Softw. Eng. Methodol. Zhou Yang, Jieke Shi, Muhammad Hilmi Asyrofi, Bowen Xu, Xin Zhou, Dong-Gyun Han, David Lo
2025	J	`jnl`	SLICEMATE: Accurate and Scalable Static Program Slicing via LLM-Powered Agents. CoRR Jianming Chang, Jieke Shi, Yunbo Lyu, Xin Zhou, Lulu Wang, Zhou Yang, Bixin Li, David Lo
2025	J	`jnl`	SecureAgentBench: Benchmarking Secure Code Generation under Realistic Vulnerability Scenarios. CoRR 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
2025	J	`jnl`	Semantics-Aligned, Curriculum-Driven, and Reasoning-Enhanced Vulnerability Repair Framework. CoRR Chengran Yang, Ting Zhang, Jinfeng Jiang, Xin Zhou, Haoye Tian, Jieke Shi, Junkai Chen, Yikun Li, Eng Lieh Ouh, Lwin Khin Shar, David Lo
2025	J	`jnl`	Think Like Human Developers: Harnessing Community Knowledge for Structured Code Reasoning. CoRR Chengran Yang, Zhensu Sun, Hong Jin Kang, Jieke Shi, David Lo
2025	J	`jnl`	What You Trust Is Insecure: Demystifying How Developers (Mis)Use Trusted Execution Environments in Practice. CoRR Yuqing Niu, Jieke Shi, Ruidong Han, Ye Liu, Chengyan Ma, Yunbo Lyu, David Lo
2024	J	`jnl`	ACECode: A Reinforcement Learning Framework for Aligning Code Efficiency and Correctness in Code Language Models. CoRR Chengran Yang, Hong Jin Kang, Jieke Shi, David Lo
2024	A*	`conf`	Baffle: Hiding Backdoors in Offline Reinforcement Learning Datasets. SP Chen Gong, Zhou Yang, Yunpeng Bai, Junda He, Jieke Shi, Kecen Li, Arunesh Sinha, Bowen Xu, Xinwen Hou, David Lo, Tianhao Wang
2024	A*	`conf`	Curiosity-Driven Testing for Sequential Decision-Making Process. ICSE Junda He, Zhou Yang, Jieke Shi, Chengran Yang, Kisub Kim, Bowen Xu, Xin Zhou, David Lo
2024	J	`jnl`	Ecosystem of Large Language Models for Code. CoRR Zhou Yang, Jieke Shi, David Lo
2024	J	`jnl`	Efficient and Green Large Language Models for Software Engineering: Vision and the Road Ahead. CoRR Jieke Shi, Zhou Yang, David Lo
2024	J	`jnl`	Finding Safety Violations of AI-Enabled Control Systems through the Lens of Synthesized Proxy Programs. CoRR Jieke Shi, Zhou Yang, Junda He, Bowen Xu, Dongsun Kim, DongGyun Han, David Lo
2024	J	`jnl`	Gotcha! This Model Uses My Code! Evaluating Membership Leakage Risks in Code Models. IEEE Trans. Software Eng. Zhou Yang, Zhipeng Zhao, Chenyu Wang, Jieke Shi, Dongsun Kim, DongGyun Han, David Lo
2024	—	`conf`	Greening Large Language Models of Code. ICSE (SEIS) Jieke Shi, Zhou Yang, Hong Jin Kang, Bowen Xu, Junda He, David Lo
2024	J	`jnl`	SEA4DQ 2024 Workshop Summary. ACM SIGSOFT Softw. Eng. Notes 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
2024	J	`jnl`	Stealthy Backdoor Attack for Code Models. IEEE Trans. Software Eng. Zhou Yang, Bowen Xu, Jie M. Zhang, Hong Jin Kang, Jieke Shi, Junda He, David Lo
2024	J	`jnl`	Synthesizing Efficient and Permissive Programmatic Runtime Shields for Neural Policies. CoRR Jieke Shi, Junda He, Zhou Yang, Dorde Zikelic, David Lo
2024	A*	`conf`	Unveiling Memorization in Code Models. ICSE Zhou Yang, Zhipeng Zhao, Chenyu Wang, Jieke Shi, Dongsun Kim, DongGyun Han, David Lo
2023	J	`jnl`	Gotcha! This Model Uses My Code! Evaluating Membership Leakage Risks in Code Models. CoRR Zhou Yang, Zhipeng Zhao, Chenyu Wang, Jieke Shi, Dongsun Kim, DongGyun Han, David Lo
2023	J	`jnl`	Prioritizing Speech Test Cases. CoRR Zhou Yang, Jieke Shi, Muhammad Hilmi Asyrofi, Bowen Xu, Xin Zhou, DongGyun Han, David Lo
2023	J	`jnl`	Stealthy Backdoor Attack for Code Models. CoRR Zhou Yang, Bowen Xu, Jie M. Zhang, Hong Jin Kang, Jieke Shi, Junda He, David Lo
2023	J	`jnl`	Towards Smaller, Faster, and Greener Language Models of Code. CoRR Jieke Shi, Zhou Yang, Hong Jin Kang, Bowen Xu, Junda He, David Lo
2023	J	`jnl`	What Do Code Models Memorize? An Empirical Study on Large Language Models of Code. CoRR Zhou Yang, Zhipeng Zhao, Chenyu Wang, Jieke Shi, Dongsun Kim, DongGyun Han, David Lo
2023	A	`conf`	What Do Users Ask in Open-Source AI Repositories? An Empirical Study of GitHub Issues. MSR Zhou Yang, Chenyu Wang, Jieke Shi, Thong Hoang, Pavneet Singh Kochhar, Qinghua Lu, Zhenchang Xing, David Lo
2023	J	`jnl`	What Do Users Ask in Open-Source AI Repositories? An Empirical Study of GitHub Issues. CoRR Zhou Yang, Chenyu Wang, Jieke Shi, Thong Hoang, Pavneet Singh Kochhar, Qinghua Lu, Zhenchang Xing, David Lo
2022	A*	`conf`	Answer Summarization for Technical Queries: Benchmark and New Approach. ASE Chengran Yang, Bowen Xu, Ferdian Thung, Yucen Shi, Ting Zhang, Zhou Yang, Xin Zhou, Jieke Shi, Junda He, DongGyun Han, David Lo
2022	J	`jnl`	Answer Summarization for Technical Queries: Benchmark and New Approach. CoRR Chengran Yang, Bowen Xu, Ferdian Thung, Yucen Shi, Ting Zhang, Zhou Yang, Xin Zhou, Jieke Shi, Junda He, DongGyun Han, David Lo
2022	A	`conf`	Can Identifier Splitting Improve Open-Vocabulary Language Model of Code? SANER Jieke Shi, Zhou Yang, Junda He, Bowen Xu, David Lo
2022	J	`jnl`	Can Identifier Splitting Improve Open-Vocabulary Language Model of Code? CoRR Jieke Shi, Zhou Yang, Junda He, Bowen Xu, David Lo
2022	A*	`conf`	Compressing Pre-trained Models of Code into 3 MB. ASE Jieke Shi, Zhou Yang, Bowen Xu, Hong Jin Kang, David Lo
2022	J	`jnl`	Compressing Pre-trained Models of Code into 3 MB. CoRR Jieke Shi, Zhou Yang, Bowen Xu, Hong Jin Kang, David Lo
2022	A	`conf`	Curiosity-Driven and Victim-Aware Adversarial Policies. ACSAC Chen Gong, Zhou Yang, Yunpeng Bai, Jieke Shi, Arunesh Sinha, Bowen Xu, David Lo, Xinwen Hou, Guoliang Fan
2022	J	`jnl`	Mind Your Data! Hiding Backdoors in Offline Reinforcement Learning Datasets. CoRR Chen Gong, Zhou Yang, Yunpeng Bai, Junda He, Jieke Shi, Arunesh Sinha, Bowen Xu, Xinwen Hou, Guoliang Fan, David Lo
2022	A*	`conf`	Natural Attack for Pre-trained Models of Code. ICSE Zhou Yang, Jieke Shi, Junda He, David Lo
2022	J	`jnl`	Natural Attack for Pre-trained Models of Code. CoRR Zhou Yang, Jieke Shi, Junda He, David Lo
2022	A	`conf`	On the Influence of Biases in Bug Localization: Evaluation and Benchmark. SANER Ratnadira Widyasari, Stefanus Agus Haryono, Ferdian Thung, Jieke Shi, Constance Tan, Fiona Wee, Jack Phan, David Lo
2022	A	`conf`	Revisiting Neuron Coverage Metrics and Quality of Deep Neural Networks. SANER Zhou Yang, Jieke Shi, Muhammad Hilmi Asyrofi, David Lo
2022	J	`jnl`	Revisiting Neuron Coverage Metrics and Quality of Deep Neural Networks. CoRR Zhou Yang, Jieke Shi, Muhammad Hilmi Asyrofi, David Lo
2021	A	`conf`	BiasHeal: On-the-Fly Black-Box Healing of Bias in Sentiment Analysis Systems. ICSME Zhou Yang, Harshit Jain, Jieke Shi, Muhammad Hilmi Asyrofi, David Lo
2021	A	`conf`	Can Differential Testing Improve Automatic Speech Recognition Systems? ICSME Muhammad Hilmi Asyrofi, Zhou Yang, Jieke Shi, Chu Wei Quan, David Lo
2021	A*	`conf`	IncBL: Incremental Bug Localization. ASE Zhou Yang, Jieke Shi, Shaowei Wang, David Lo
2021	J	`jnl`	IncBL: Incremental Bug Localization. CoRR Zhou Yang, Jieke Shi, Shaowei Wang, David Lo
2021	J	`jnl`	Ontology negotiation: Knowledge interchange between distributed ontologies through agent negotiation. Concurr. Comput. Pract. Exp. Junwu Zhu, Ling Teng, Huimin Lu, Jieke Shi, Bin Li
2020	J	`jnl`	An auction-based rescue task allocation approach for heterogeneous multi-robot system. Multim. Tools Appl. Jieke Shi, Zhou Yang, Junwu Zhu
2020	J	`jnl`	Network-aware Virtual Machine Migration Based on Gene Aggregation Genetic Algorithm. Mob. Networks Appl. Yi Jiang, Jinjin Wang, Jieke Shi, Junwu Zhu, Ling Teng
2019	J	`jnl`	A real-time decentralized algorithm for task scheduling in multi-agent system with continuous damage. Appl. Soft Comput. Junwu Zhu, Jieke Shi, Zhou Yang, Bin Li
2019	C	`conf`	An Efficient Double Auction Mechanism for Job Allocation. CSCWD Jieke Shi, Junwu Zhu, Jian Li, Fang Liu, Yunbo Lv