Yiling Lou
Computer Science · Purdue University West Lafayette
Publications
59
Citations
1,420
Est. group size
~2
Recurring co-author estimate
Active years
12
Publishing since 2015
Yiling Lou works in software engineering, focusing on how to automatically find, diagnose, and fix bugs in software, and increasingly on how large language models (LLMs) can be used for tasks like code translation, test generation, vulnerability detection, and program repair. Much of the recent work evaluates or improves LLM-based tools for software testing, debugging, and code analysis, including checking these tools for fairness and reliability. This research is aimed at making software development and quality assurance faster and more automated.
Publication output grew sharply from a low, steady rate before 2022 to a much higher and sustained volume from 2023 onward, indicating an accelerating and currently active research pace.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Vul-RAG: Enhancing LLM-based Vulnerability Detection via Knowledge-level RAG
ACM Transactions on Software Engineering and Methodology · 2026
- Fairness Testing of Large Language Models in Role-Playing
Proceedings of the ACM on software engineering. · 2026
- TransAgent: Enhancing LLM-Based Code Translation via Fine-Grained Execution Alignment
Proceedings of the ACM on software engineering. · 2026
- Taming System Complexity: Demystifying Software Engineering Agents in Diagnosing Linux Kernel Faults
2026
- Exploring Large Language Models in Resolving Environment-Related Crash Bugs: Localizing and Repairing
ACM Transactions on Software Engineering and Methodology · 2026
- TestTailor: Generating High-Coverage Tests via Path-Proximal Tests with LLMs
Proceedings of the ACM on software engineering. · 2026
- Project-Level C-to-Rust Translation via Pointer Knowledge Graphs
Proceedings of the ACM on software engineering. · 2026
- Software Fairness Dilemma: Is Bias Mitigation a Zero-Sum Game?
Proceedings of the ACM on software engineering. · 2025
- Boosting Static Resource Leak Detection via LLM-based Resource-Oriented Intention Inference
2025
- TIGER: A Generating-Then-Ranking Framework for Practical Python Type Inference
2025
- Towards Iterative End-to-End Software Development: A Feature-Driven Multi-Agent Framework
ArXiv.org · 2025
- Minimizing False Positives in Static Bug Detection via LLM-Enhanced Path Feasibility Analysis
arXiv (Cornell University) · 2025
- Automatically Learning a Precise Measurement for Fault Diagnosis Capability of Test Cases
arXiv (Cornell University) · 2025
- Automatically Learning a Precise Measurement for Fault Diagnosis Capability of Test Cases
ACM Transactions on Software Engineering and Methodology · 2025
- Show Me Why It’s Correct: Saving 1/3 of Debugging Time in Program Repair with Interactive Runtime Comparison
Proceedings of the ACM on Programming Languages · 2025
- arXiv (Cornell University)×17
- Proceedings of the ACM on software engineering.×6
- ACM Transactions on Software Engineering and Methodology×4
- Zenodo (CERN European Organization for Nuclear Research)×2
- Advances in computers×1
- Danning Xie
Computer Science · Purdue University West Lafayette
- Lin Tan
Computer Science · Purdue University West Lafayette
- James C. Davis
Computer Science · Purdue University West Lafayette
- Chengpeng Wang
Computer Science · Purdue University West Lafayette
- Yuze Jiang
Computer Science · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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