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Wenqiang Luo

羅文强 PhD Student Google Scholar ↗CityU Scholars ↗

About

Wenqiang Luo is a PhD Student in the Department of Computer Science, City University of Hong Kong.

Research Interests

Publications (5)

  • When Fine-Tuning LLMs Meets Data Privacy: An Empirical Study of Federated Learning in LLM-Based Program Repair.
    ACM Trans. Softw. Eng. Methodol.2026PDF ↗DOI ↗
  • Refine After Generation: Toward Correct and Concise Patches in LLM-based Program Repair.
  • LogMeta: A few-shot model-agnostic meta-learning framework for robust and adaptive log anomaly detection.
    J. Syst. Softw.2026PDF ↗DOI ↗
  • Unlocking LLM Repair Capabilities in Low-Resource Programming Languages Through Cross-Language Translation and Multi-Agent Refinement.
  • Unveiling Hidden Anomalies: Leveraging SMAC-LSTM for Enhanced Software Log Analysis.
    COMPSAC2024PDF ↗DOI ↗