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Author

He Ye

Observed names: Ye He, Ye, He
ORCID: 0000-0003-4807-2110
Observed ORCID: 0000-0003-4807-2110
OpenAlex ID: A5101610258
MemoryBank: Enhancing Large Language Models with Long-Term Memory
2024 · Wanjun Zhong, Lianghong Guo, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 253
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Neural program repair with execution-based backpropagation
2022 · He Ye, Matias Martinez, et al. · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) · 161
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SelfAPR: Self-supervised Program Repair with Test Execution Diagnostics
2022 · He Ye, Matias Martinez, et al. · IEEE/ACM International Conference on Automated Software Engineering (ASE) · 89
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Automated patch assessment for program repair at scale
2021 · He Ye, Matias Martinez, et al. · Empirical Software Engineering · 76
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Automated Classification of Overfitting Patches With Statically Extracted Code Features
2021 · He Ye, Jian Gu, et al. · IEEE Transactions on Software Engineering · 69
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A comprehensive study of automatic program repair on the QuixBugs benchmark
2020 · He Ye, Matias Martinez, et al. · Journal of Systems and Software · 67
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ITER: Iterative Neural Repair for Multi-Location Patches
2024 · He Ye, Martin Monperrus · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) · 48
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A Comprehensive Study of Automatic Program Repair on the QuixBugs Benchmark
· Ye, He, Martinez, Matias, et al. · KTH Publication Database DiVA (KTH Royal Institute of Technology) · 48
A Comprehensive Study of Automatic Program Repair on the QuixBugs Benchmark
2019 · He Ye, Matias Martinez, et al. · IEEE International Workshop on Intelligent Bug Fixing (IBF) · 36
DeepInfer: Deep Type Inference from Smart Contract Bytecode
2023 · Kunsong Zhao, Zihao Li, et al. · ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) · 25
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A Software-Repair Robot Based on Continual Learning
2021 · Benoit Baudry, Zimin Chen, et al. · IEEE Software · 18
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Large Language Models for Blockchain Security: A Systematic Literature Review
2024 · He, Zheyuan, Li, Zihao, et al. · arXiv (Cornell University) · 16
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When Fine-Tuning LLMs Meets Data Privacy: An Empirical Study of Federated Learning in LLM-Based Program Repair
2025 · Wenqiang Luo, Jacky Wai Keung, et al. · ACM Transactions on Software Engineering and Methodology · 12
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AdverIntent-Agent: Adversarial Reasoning for Repair Based on Inferred Program Intent
2025 · He Ye, Aidan Z.H. Yang, et al. · Proceedings of the ACM on software engineering. · 9
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LWDIFF: an LLM-Assisted Differential Testing Framework for Webassembly Runtimes
2025 · Shiyao Zhou, Jincheng Wang, et al. · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) · 9
Generative AI for Testing of Autonomous Driving Systems: A Survey
2026 · Qunying Song, He Ye, et al. · ACM Transactions on Software Engineering and Methodology · 6
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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
2023 · Ye He, Zimin Chen, et al. · IEEE/ACM International Conference on Automated Software Engineering (ASE) · 6
Megadiff: A Dataset of 600k Java Source Code Changes Categorized by Diff Size
2021 · Monperrus, Martin, Martinez, Matias, et al. · arXiv (Cornell University) · 5
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Understanding Code Agent Behaviour: An Empirical Study of Success and Failure Trajectories
2025 · Majgaonkar, Oorja, Fei, Zhiwei, et al. · arXiv (Cornell University) · 4
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Security Vulnerability Detection with Multitask Self-Instructed Fine-Tuning of Large Language Models
2024 · Yang, Aidan Z. H., Tian, Haoye, et al. · arXiv (Cornell University) · 4
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Environment-in-the-Loop: Rethinking Code Migration with LLM-based Agents
2026 · Xiang Li, Zhiwei Fei, et al. · 3
ContextBench: A Benchmark for Context Retrieval in Coding Agents
2026 · Li, Han, Zhu, Letian, et al. · arXiv (Cornell University) · 3
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Automated Repair of Ambiguous Problem Descriptions for LLM-Based Code Generation
2025 · Haoxiang Jia, Robbie Morris, et al. · IEEE/ACM International Conference on Automated Software Engineering (ASE) · 3
MUFIN: Improving Neural Repair Models with Back-Translation
2023 · Silva, André, Ferreira, João F., et al. · arXiv (Cornell University) · 3
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TerminalWorld: Benchmarking Agents on Real-World Terminal Tasks
2026 · Chu, Zhaoyang, Hu, Jiarui, et al. · arXiv (Cornell University) · 2
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Works count: 55
Citation count: 983
H-index: 12
I10-index: 13
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