Me in Singapore, 2018
I am Research Fellow at the Department of Data Science and AI, Monash University, working with Prof. Dinh Phung and Dr. Trung Le. At this moment, I am still a Ph.D. student at the Faculty of Information Technology, Monash University, waiting for the thesis examination. My research interests are Generative AI (i.e., how to generate realistic data) and Trustworthy Machine Learning especially Adversarial Machine Learning (i.e., understanding ML models’s behaviour and making them more robust against the changing of data).
Before that, I had one year working as Research Engineer at Credit AI Lab, Trusting Social, and two years working as Research Assistant at Singapore University of Technology and Design with Prof. Ngai Man Cheung and Dr. Trung Tran.
I am actively looking for an opportunity for Research Engineer/Scientist position in the industry. Please refer to my CV and reach out if you think I am a good fit.
|Sep 23, 2023||Our paper “Optimal Transport Model Distributional Robustness” has been accepted to NeurIPS 2023! 🎉 (led by Van-Anh Nguyen)|
|Jun 24, 2023||Presenting “Exploring Controllability of Conditioned Diffusion Models” at prof. Gemma Roig’s lab under the Postdoc-NeT-AI program. Slide.|
|Jun 8, 2023||Finally, I submit my Ph.D. thesis for examination. Phew!|
|Apr 13, 2023||I have been awarded a DAAD AInet fellowship|
|Apr 2, 2023||Presenting “Holistic View of Adversarial Machine Learning” at our lab meeting. Slide|
Generating Adversarial Examples with Task Oriented Multi-Objective OptimizationTransactions on Machine Learning Research, 2023
A Unified Wasserstein Distributional Robustness Framework for Adversarial TrainingIn International Conference on Learning Representations, 2022
Understanding and achieving efficient robustness with adversarial supervised contrastive learningarXiv preprint arXiv:2101.10027, 2021
Improving adversarial robustness by enforcing local and global compactnessIn European Conference on Computer Vision, 2020
Improving GAN with neighbors embedding and gradient matchingIn Proceedings of the AAAI conference on artificial intelligence, 2019
Dist-gan: An improved gan using distance constraintsIn Proceedings of the European conference on computer vision (ECCV), 2018