"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 CV is available upon request.
Also, I am always interested in internship and collaboration opportunities. Please reach out to me via email: tuan at robots dot ox dot ac dot uk
|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.|
|Oct 7, 2020||Start my DPhil at Oxford, a new journey!|
CVPRTIPI: Test Time Adaptation with Transformation InvarianceIEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
NeurIPSFedSR: A Simple and Effective Domain Generalization Method for Federated LearningAdvances in Neural Information Processing Systems, 2022
ICLRKL Guided Domain AdaptationInternational Conference on Learning Representations, 2022
NeurIPSDomain Invariant Representation Learning with Domain Density TransformationsAdvances in Neural Information Processing Systems, 2021
AAAIClinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task LearningProceedings of the AAAI Conference on Artificial Intelligence, 2021