A. Tuan Nguyen

Research Scientist, Meta
New York, NY, United States

"The past is just practice"

I am a Research Scientist at Meta, working on large multi-modal language models. Prior to joining Meta, I obtained a PhD (DPhil) in Machine Learning from the University of Oxford. During my time at Oxford, I was fortunate to have worked with Prof. Philip Torr, Prof. Yarin Gal, and Dr. Gunes Baydin. My PhD thesis focused on addressing the distribution shift problem in machine learning. Before my doctoral studies, I pursued a Master’s degree at Korea Advanced Institute of Science and Technology. During this period, I worked as a research assistant at KAIST’s MLAI Group, supervised by Prof. Sung Ju Hwang.

My (might-be-outdated) resume is available here.

You can reach out to me via email: a.tuan.nguyen at outlook.com

News

Aug 12, 2024 A paper (uCAP) has been accepted to ECCV as oral.
Apr 8, 2024 I join Meta (New York) as a Research Scientist.
May 7, 2023 Arrived in Menlo Park for an internship at Meta. Let’s connect!
Feb 27, 2023 A paper accepted to CVPR 2023!
Sep 15, 2022 A paper gets accepted to NeurIPS 2022! Hope to see you in New Orleans.
May 15, 2022 A paper gets accepted to ICML 2022!
Jan 21, 2022 Two papers get accepted to ICLR 2022!
Dec 15, 2021 Get an internship offer at Meta (Facebook). Going to San Francisco for a four-month internship!
Sep 28, 2021 A paper gets accepted to NeurIPS 2021!
Dec 1, 2020 A paper gets accepted to AAAI 2021! Many thanks to my supervisor and collaborators.

Selected Publications

  1. ECCV
    uCAP: An Unsupervised Prompting Method for Vision-Language Models
    A. Tuan Nguyen, Kai Sheng Tai, Sirius Chen, Satya Narayan Shukla, Hanchao Yu, Philip Torr, Taipeng Tian, and Ser-Nam Lim
    European Conference on Computer Vision (Oral), 2024
  2. CVPR
    TIPI: Test Time Adaptation with Transformation Invariance
    A. Tuan NguyenThanh Nguyen-TangSer-Nam Lim, and Philip Torr
    IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
  3. NeurIPS
    FedSR: A Simple and Effective Domain Generalization Method for Federated Learning
    A. Tuan NguyenPhilip Torr, and Ser-Nam Lim
    Advances in Neural Information Processing Systems, 2022
  4. ICLR
    KL Guided Domain Adaptation
    A. Tuan Nguyen, Toan Tran, Yarin GalPhilip H. S. Torr, and Atılım Güneş Baydin
    International Conference on Learning Representations, 2022
  5. NeurIPS
    Domain Invariant Representation Learning with Domain Density Transformations
    A. Tuan Nguyen, Toan Tran, Yarin Gal, and Atılım Güneş Baydin
    Advances in Neural Information Processing Systems, 2021
  6. AAAI
    Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning
    A. Tuan Nguyen, Hyewon Jeong, Eunho Yang, and Sung Ju Hwang
    Proceedings of the AAAI Conference on Artificial Intelligence, 2021