He Ye

41 papers A* 7Journal 31Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
ContextBench: A Benchmark for Context Retrieval in Coding Agents.
CoRR
Han Li, Letian Zhu, Bohan Zhang, Rili Feng, Jiaming Wang, Yue Pan, Earl T. Barr, Federica Sarro, Zhaoyang Chu, He Ye
2026 J jnl
Echo: Graph-Enhanced Retrieval and Execution Feedback for Issue Reproduction Test Generation.
CoRR
Zhiwei Fei, Yue Pan, Federica Sarro, Jidong Ge, Marc Liu, Vincent Ng, He Ye
2026 J jnl
Environment-in-the-Loop: Rethinking Code Migration with LLM-based Agents.
CoRR
Xiang Li, Zhiwei Fei, Ying Ma, Jerry Zhang, Federica Sarro, He Ye
2026 J jnl
ExecVerify: White-Box RL with Verifiable Stepwise Rewards for Code Execution Reasoning.
CoRR
Lingxiao Tang, He Ye, Zhaoyang Chu, Muyang Ye, Zhongxin Liu, Xiaoxue Ren, Lingfeng Bao
2026 J jnl
HerAgent: Rethinking the Automated Environment Deployment via Hierarchical Test Pyramid.
CoRR
Xiang Li, Siyu Lu, Federica Sarro, Claire Le Goues, He Ye
2026 J jnl
JMigBench: A Benchmark for Evaluating LLMs on Source Code Migration (Java 8 to Java 11).
CoRR
Nishil Amin, Zhiwei Fei, Xiang Li, Justyna Petke, He Ye
2026 J jnl
When Fine-Tuning LLMs Meets Data Privacy: An Empirical Study of Federated Learning in LLM-Based Program Repair.
ACM Trans. Softw. Eng. Methodol.
Wenqiang Luo, Jacky Wai Keung, Boyang Yang, He Ye, Claire Le Goues, Tegawendé F. Bissyandé, Haoye Tian, Bach Le
2025 J jnl
AdverIntent-Agent: Adversarial Reasoning for Repair Based on Inferred Program Intent.
Proc. ACM Softw. Eng.
He Ye, Aidan Z. H. Yang, Chang Hu, Yanlin Wang, Tao Zhang, Claire Le Goues
2025 J jnl
Adversarial Reasoning for Repair Based on Inferred Program Intent.
CoRR
He Ye, Aidan Z. H. Yang, Chang Hu, Yanlin Wang, Tao Zhang, Claire Le Goues
2025 J jnl
Automated Repair of Ambiguous Natural Language Requirements.
CoRR
Haoxiang Jia, Robbie Morris, He Ye, Federica Sarro, Sergey Mechtaev
2025 A* conf
Automated Repair of Ambiguous Problem Descriptions for LLM-Based Code Generation.
ASE
Haoxiang Jia, Robbie Morris, He Ye, Federica Sarro, Sergey Mechtaev
2025 J jnl
CodeReasoner: Enhancing the Code Reasoning Ability with Reinforcement Learning.
CoRR
Lingxiao Tang, He Ye, Zhongxin Liu, Xiaoxue Ren, Lingfeng Bao
2025 J jnl
Generative AI for Testing of Autonomous Driving Systems: A Survey.
CoRR
Qunying Song, He Ye, Mark Harman, Federica Sarro
2025 A* conf
LWDIFF: an LLM-Assisted Differential Testing Framework for Webassembly Runtimes.
ICSE
Shiyao Zhou, Jincheng Wang, He Ye, Hao Zhou, Claire Le Goues, Xiapu Luo
2025 J jnl
Prometheus: Unified Knowledge Graphs for Issue Resolution in Multilingual Codebases.
CoRR
Zimin Chen, Yue Pan, Siyu Lu, Jiayi Xu, Claire Le Goues, Martin Monperrus, He Ye
2025 J jnl
Understanding Code Agent Behaviour: An Empirical Study of Success and Failure Trajectories.
CoRR
Oorja Majgaonkar, Zhiwei Fei, Xiang Li, Federica Sarro, He Ye
2024 A* conf
ITER: Iterative Neural Repair for Multi-Location Patches.
ICSE
He Ye, Martin Monperrus
2024 A* conf
MemoryBank: Enhancing Large Language Models with Long-Term Memory.
AAAI
Wanjun Zhong, Lianghong Guo, Qiqi Gao, He Ye, Yanlin Wang
2024 J jnl
Security Vulnerability Detection with Multitask Self-Instructed Fine-Tuning of Large Language Models.
CoRR
Aidan Z. H. Yang, Haoye Tian, He Ye, Ruben Martins, Claire Le Goues
2024 J jnl
When Fine-Tuning LLMs Meets Data Privacy: An Empirical Study of Federated Learning in LLM-Based Program Repair.
CoRR
Wenqiang Luo, Jacky Wai Keung, Boyang Yang, He Ye, Claire Le Goues, Tegawendé F. Bissyandé, Haoye Tian, Bach Le
2023 — conf
DeepInfer: Deep Type Inference from Smart Contract Bytecode.
ESEC/SIGSOFT FSE
Kunsong Zhao, Zihao Li, Jianfeng Li, He Ye, Xiapu Luo, Ting Chen
2023 J jnl
ITER: Iterative Neural Repair for Multi-Location Patches.
CoRR
He Ye, Martin Monperrus
2023 — —
Improving the Precision of Automatic Program Repair with Machine Learning.
He Ye
2023 J jnl
MUFIN: Improving Neural Repair Models with Back-Translation.
CoRR
André Silva, João F. Ferreira, He Ye, Martin Monperrus
2023 J jnl
MemoryBank: Enhancing Large Language Models with Long-Term Memory.
CoRR
Wanjun Zhong, Lianghong Guo, Qiqi Gao, He Ye, Yanlin Wang
2023 A* conf
PreciseBugCollector: Extensible, Executable and Precise Bug-Fix Collection: Solution for Challenge 8: Automating Precise Data Collection for Code Snippets with Bugs, Fixes, Locations, and Types.
ASE
He Ye, Zimin Chen, Claire Le Goues
2023 J jnl
PreciseBugCollector: Extensible, Executable and Precise Bug-fix Collection.
CoRR
He Ye, Zimin Chen, Claire Le Goues
2022 J jnl
Automated Classification of Overfitting Patches With Statically Extracted Code Features.
IEEE Trans. Software Eng.
He Ye, Jian Gu, Matias Martinez, Thomas Durieux, Martin Monperrus
2022 A* conf
Neural Program Repair with Execution-based Backpropagation.
ICSE
He Ye, Matias Martinez, Martin Monperrus
2022 A* conf
SelfAPR: Self-supervised Program Repair with Test Execution Diagnostics.
ASE
He Ye, Matias Martinez, Xiapu Luo, Tao Zhang, Martin Monperrus
2022 J jnl
SelfAPR: Self-supervised Program Repair with Test Execution Diagnostics.
CoRR
He Ye, Matias Martinez, Xiapu Luo, Tao Zhang, Martin Monperrus
2021 J jnl
A Software-Repair Robot Based on Continual Learning.
IEEE Softw.
Benoit Baudry, Zimin Chen, Khashayar Etemadi, Han Fu, Davide Ginelli, Steve Kommrusch, Matias Martinez, Martin Monperrus, Javier Ron Arteaga, He Ye, Zhongxing Yu
2021 J jnl
A comprehensive study of automatic program repair on the QuixBugs benchmark.
J. Syst. Softw.
He Ye, Matias Martinez, Thomas Durieux, Martin Monperrus
2021 J jnl
Automated patch assessment for program repair at scale.
Empir. Softw. Eng.
He Ye, Matias Martinez, Martin Monperrus
2021 J jnl
Megadiff: A Dataset of 600k Java Source Code Changes Categorized by Diff Size.
CoRR
Martin Monperrus, Matias Martinez, He Ye, Fernanda Madeiral, Thomas Durieux, Zhongxing Yu
2021 J jnl
Neural Program Repair with Execution-based Backpropagation.
CoRR
He Ye, Matias Martinez, Martin Monperrus
2020 J jnl
R-Hero: A Software Repair Bot based on Continual Learning.
CoRR
Benoit Baudry, Zimin Chen, Khashayar Etemadi, Han Fu, Davide Ginelli, Steve Kommrusch, Matias Martinez, Martin Monperrus, Javier Ron, He Ye, Zhongxing Yu
2019 J jnl
Automated Classification of Overfitting Patches with Statically Extracted Code Features.
CoRR
He Ye, Jian Gu, Matias Martinez, Thomas Durieux, Martin Monperrus
2019 J jnl
Automated Patch Assessment for Program Repair at Scale.
CoRR
He Ye, Matias Martinez, Martin Monperrus
2019 — conf
Dynamic Model with Analysis for Plate Contacting Problem in Automatic Paper-Sticking Machine.
CACRE
Yanjie Miao, He Ye, Xingbo Wang
2018 J jnl
A Comprehensive Study of Automatic Program Repair on the QuixBugs Benchmark.
CoRR
He Ye, Matias Martinez, Martin Monperrus