A. Tuan Nguyen

DPhil Student, University of Oxford
Oxford, United Kingdom

"The past is just practice"

I am currently a DPhil student at the Department of Engineering Science, the University of Oxford, working with Prof. Philip Torr, Dr. Gunes Baydin and Prof. Yarin Gal. Before joining Oxford, I pursued my Master’s degree at Korea Advanced Institute of Science and Technology. During that time, I worked as a research assistant at KAIST’s MLAI Group, supervised by Prof. Sung Ju Hwang.

My research interests include (but not limited to) Representation Learning, Domain Adaptation/Generalization, Robustness, Transferability of Robustness, and Privacy-Preserving Machine Learning methods.

My (might-be-outdated) resume is available here.

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

News

May 8, 2023 Arrived in Menlo Park for an internship at Meta. Let’s connect!
Feb 28, 2023 A paper accepted to CVPR 2023!
Sep 16, 2022 A paper gets accepted to NeurIPS 2022! Hope to see you in New Orleans.
May 16, 2022 A paper gets accepted to ICML 2022!
Jan 22, 2022 Two papers get accepted to ICLR 2022!
Dec 16, 2021 Get an internship offer at Meta (Facebook). Going to San Francisco for a four-month internship!
Sep 29, 2021 A paper gets accepted to NeurIPS 2021!
Dec 2, 2020 A paper gets accepted to AAAI 2021! Many thanks to my supervisor and collaborators.
Oct 8, 2020 Start my DPhil at Oxford, a new journey!

Selected Publications

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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