I am a PhD Student at The University of Texas at Dallas, working under the supervision of Prof. Tien N. Nguyen. My research focuses on three interconnected areas:
- Applying AI/ML to software engineering tasks at the large-scale repository level
- Exploring if/how Large Language Models (LLMs) understand and reason about program behavior
- And then building code world models that can capture program dynamic behavior better and optimize software development processes
Previously, I was a full-time researcher in the FPT AI Residency Program, a prestigious talent program for young Vietnamese researchers that spans 2 years. The program offers access to high-performance computing resources and world-class mentorship, with a focus on publishing in top-tier venues with a competitive acceptance rate of ~3-4%.
You can email me at:
- • cuong.le@utdallas.edu for work-related enquiries, or
- • lechicuongldk@gmail.com for other matters.
Recognized in the top 1.5% of accepted papers in ICSE 2026 (A*, top 1 conference in Software Engineering).
Two papers accepted: TestWeaver and SWE-Synth in ICSE 2026 Research Track (April 12-April 18, 2026, Rio de Janeiro, Brazil)
VisualCoder was accepted to Findings of NAACL 2025 (April 29–May 4, 2025, Albuquerque, New Mexico, USA)
CodeFlow was accepted to FORGE 2025 (April 27-April 28, Ottawa, Ontario, Canada).
