Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
Paper 'Order Matters! An Empirical Study on Large Language Models' Input Order Bias in Software Fault Localization' accepted at ICSE 2026 (June 2025)
Paper 'Revisiting Defects4J for Fault Localization in Diverse Development Scenarios' accepted at MSR 2025 (January 2025)
Paper 'Towards Better Graph Neural Network-based Fault Localization Through Enhanced Code Representation' accepted at FSE 2024 (July 2024)
Short paper 'Exploring Data Cleanness in Defects4J and Its Influence on Fault Localization Efficiency' accepted at ICSE 2024 (April 2024)
First-place winner, ACM Student Research Competition at FSE 2024 (July 2024), for work on enhancing code representation for GNN-based fault localization
Background
PhD student in Computer Science at Concordia University
Affiliated with the Software Performance, Analysis, and Reliability (SPEAR) Lab
Research focuses on improving the quality of large-scale software systems
Primary research interest lies in Fault Localization (FL) techniques in Software Engineering
Current project develops novel FL methods using machine learning and program analysis
Exploring the use of Large Language Models (LLMs) to enhance debugging performance and reliability