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Author

Hong Yi Lin

Observed names: Lin, Hong Yi, Lin, Hong Yi
Observed institution: The University of Melbourne
ORCID: 0009-0004-5368-8897
Observed ORCID: 0009-0004-5368-8897
OpenAlex ID: A5046275065
Improving Automated Code Reviews: Learning From Experience
2024 · Hong Yi Lin, Patanamon Thongtanunam, et al. · International Conference on Mining Software Repositories (MSR) · 17
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CodeReviewQA: The Code Review Comprehension Assessment for Large Language Models
2025 · Hong Yi Lin, Chunhua Liu, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 8
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AI failures in the eyes of the downstream developer: a first look at concerns, practices, and challenges
2026 · Haoyu Gao, Mansooreh Zahedi, et al. · Empirical Software Engineering · 5
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Leveraging Reviewer Experience in Code Review Comment Generation
2025 · Hong Yi Lin, Patanamon Thongtanunam, et al. · ACM Transactions on Software Engineering and Methodology · 5
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Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation
2025 · Chunhua Liu, Hong Yi Lin, et al. · International Conference on Mining Software Repositories (MSR) · 3
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AgenticReviewers: Studying A Million of Agentic Reviews in the Wild
2026 · Lin, Hong Yi, Liang, Mingzhao, et al. · Zenodo (CERN European Organization for Nuclear Research)
HalluJudge: A Reference-Free Hallucination Detection for Context Misalignment in Code Review Automation
2026 · Kla Tantithamthavorn, Hong Yi Lin, et al. · ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE)
Agentic Code Review in Terminal: Dataset and Trajectory Analysis
2026 · Charoenwet, Wachiraphan, Tantithamthavorn, Kla, et al. · Zenodo (CERN European Organization for Nuclear Research)
Is Agentic Code Review Helpful? Mining Developers' Feedback to CodeRabbit Reviews in the Wild
2026 · Lin, Hong Yi, Liang, Mingzhao, et al. · Zenodo (CERN European Organization for Nuclear Research)
What Types of Code Review Comments Do Developers Most Frequently Resolve?
2025 · Saul Goldman, Hong Yi Lin, et al. · IEEE/ACM International Conference on Automated Software Engineering (ASE)
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Should Code Models Learn Pedagogically? A Preliminary Evaluation of Curriculum Learning for Real-World Software Engineering Tasks
2025 · Kyi Shin Khant, Hong Yi Lin, et al. · International Conference on Mining Software Repositories (MSR)
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Leveraging Reviewer Experience in Code Review Comment Generation
2024 · Lin, Hong Yi, Thongtanunam, Patanamon, et al. · arXiv (Cornell University)
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Works count: 12
Citation count: 27
H-index: 3
I10-index: 1
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