Thai Son Ly  

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Room N308

Engineering Building 2

University of Houston

Houston, TX 77004

Hi! I am currently a fifth-year Ph.D. student at University of Houston majoring in Electrical Engineering and Computer Science. My research focuses on machine learning and developing robust and efficient algorithms driven by both natural and clinical problems, including self-supervised learning, parameter-efficient fine-tuning, as well as fairness. I am advised by Prof. Hien V. Nguyen.

Prior to UH, I received my M.S. degree in Computer Science from Chonnam National University and M.E. degree in Material Engineering from Soongsil University.

news

Jan 25, 2025 I serve as a reviewer for CVPR 2025.
Nov 28, 2024 We release FreqFit, a Frequency Fine-tuning framework that complements PEFT methods to enhance model adaptability.
Feb 26, 2024 Our paper entitled Cellular data extraction from multiplexed brain imaging data using self-supervised Dual-loss Adaptive Masked Autoencoder was accepted by Artificial Intelligence in Medicine. Check it out! :sparkles: :smile:

selected publications

  1. ×
    Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation
    Son Thai Ly, and Hien V Nguyen
    arXiv preprint arXiv:2411.19297, 2024
  2. ×
    Cellular data extraction from multiplexed brain imaging data using self-supervised Dual-loss Adaptive Masked Autoencoder
    Son Thai Ly, Bai Lin, Hung Q Vo, Dragan Maric, and 2 more authors
    Artificial Intelligence in Medicine, 2024