M.S. Computer Science student at the University of Illinois Urbana-Champaign (graduating May 2027), working with Prof. Fan Lai on efficient machine learning systems: LLM and RAG serving, GPU performance, and federated learning.
Before UIUC, I spent six years on ML research and engineering in Vietnam: clinical AI software for echocardiography at VNU University of Engineering and Technology, then federated learning at VinUniversity. I'm also a Ph.D. student in the VinUni–UIUC joint program, co-advised by Prof. Kok-Seng Wong and Prof. Khoa Doan.
Website · CV · Google Scholar · LinkedIn · Email
- REVA: Reusable Evidence View Aggregation for Context-Efficient RAG Serving — IEEE ICDM 2026 · code
- Towards Efficient Communication and Secure Federated Recommendation System via Low-rank Training — WWW 2024 · code
- IBA: Towards Irreversible Backdoor Attacks in Federated Learning — NeurIPS 2023 · code
Full list on Google Scholar.
- fedlearn-backdoor-attacks — PyTorch framework for backdoor attacks and defenses in federated learning
- cuda-cnn-convolution-optimization — fused implicit-GEMM CUDA kernels for CNN layers (UIUC CS 483 course project)
- Research Papers Explorer — search and filter curated paper collections (code)
- federated-learning-updated-papers — federated-learning papers from top venues
- competitive-programming-101 — competitive-programming training in C++