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

I am a second-year PhD student at the University of Wisconsin - Madison, advised by Prof. Yin Li. My research is machine learning and computer vision. My past works spanned various tasks, including image classification, video classification, and pose estimation.

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

Publications

(*) denotes equal contribution

  1. [1]
    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.
  2. [2]
    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.
  3. [3]
    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]
  4. [4]
    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]
  5. [5]
    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:

    • CVPR (2025, 2023), ECCV 2024, NeurIPS 2023.

Acknowledgements: this website builds on al-folio, Jiaming Song, and Bo Li.