Ph.D Student, Computer Science
University of Wisconsin - Madison
Curriculum Vitae
Email: kdnguyen7 [at] wisc [dot] edu

I am a PhD student at the University of Wisconsin-Madison, advised by Prof. Yin Li. My research focuses on machine learning and computer vision, with an emphasis on developing highly efficient models that make effective use of data and computational resources.

This summer, I join Dolby Laboratories as a PhD research intern, working with Trisha Mittal.

Previously, I spent one year as a research intern at the National University of Singapore, working with Chen Li and Prof. Gim Hee Lee. Before that, I was also a research resident at VinAI Research, working with Rang HM Nguyen, Binh-Son Hua and Quoc-Huy Tran (Retrocausal, Inc.). I received my Bachelor of Engineering degree in Computer Engineering from the Ho Chi Minh City University of Technology, Vietnam.

Publications

(*) denotes equal contribution

  1. [1]
    Zhuoyan* Xu, Khoi Duc Nguyen*, Preeti Mukherjee, Saurab Bagchi, Somali Chaterji, Yingyu Liang, and Yin Li Learning to Inference Adaptively for Multimodal Large Language Models arxiv 2025, preprint arXiv:2503.10905. [code]
  2. [2]
    Zhuoming Liu, Yiquan Li, Khoi Duc Nguyen, Yiwu Zhong, and Yin Li PAVE: Patching and Adapting Video Large Language Models CVPR 2025, In The IEEE/CVF Conference on Computer Vision and Pattern Recognition. [code]
  3. [3]
    Zhuoyan Xu, Khoi Duc Nguyen, Preeti Mukherjee, Somali Chaterji, Yingyu Liang, and Yin Li Adainf: Adaptive inference for resource-constrained foundation models ICML 2024 ES-FoMo-II Workshop, In Workshop on Efficient Systems for Foundation Models II @ ICML2024.
  4. [4]
    Khoi Duc Nguyen, Chen Li, and Gim Hee Lee ESCAPE: Encoding Super-keypoints for Category-Agnostic Pose Estimation CVPR 2024, In The IEEE/CVF Conference on Computer Vision and Pattern Recognition. [code]
  5. [5]
    Khoi D. Nguyen, Quoc-Huy Tran, Khoi Nguyen, Binh-Son Hua, and Rang Nguyen Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal Alignments ECCV 2022, In European Conference on Computer Vision. [code]
  6. [6]
    Duong H. Le*, Khoi D. Nguyen*, Khoi Nguyen, Quoc-Huy Tran, Rang Nguyen, and Binh-Son Hua POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples NeurIPS 2021, In Neural Information Processing Systems. [code]
Professional Services
  • Conference Reviewer: ICCV (2025), CVPR (2025, 2023), ECCV (2024), NeurIPS (2025, 2023).