Hi there, I’m Phuc.

Currently I’m a Ph.D student at the ML-Labs cohort, based in Dublin City University, Ireland, under the supervison of Professor Alan Smeaton and Dr. Graham Healy.

I have interest from theoretical to practical aspects of building intelligent system, with focus on Representation Learning, Unsupervised / Self-supervised Learning and Differentiable Computing.

Research

For the latest update of my research, see: Google Scholar, Semantic Scholar, ORCID iD.

Contrastive Representation Learning: A Framework and Review

Journal article published in IEEE Access. Link: arXiv, IEEE. Invited talk: HackML meetup.

Projects

I enjoy developing and contributing to Open Source Software in my free time. Belows are some of my major open-source projects, for more detail check out my Github:

• Lightning-hydra-template: A template for small-scale research-oriented deep learning project using Pytorch Lightning, Hydra and Tensorboard.
• Pytorch-3D-Point-Cloud-Generation: A popular port to Pytorch of “Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction”.
• Anomaly-XRay-GANs: An early attempt at combing GAN and Autoencoder for anomaly detection in Xray images.
• D2L-VN: I am a Collaborators and help translate Dive Into Deep Learning book to Vietnamese.
• Machine Learning Yearning Vietnamese Translation: I am a contributor and help translate Machine Learning Yearning book to Vietnamese.
• Slack Visual Summary: A proof of concept demo to visually summarize a Slack channel using Machine Learning.

Service

• Reviewer for: ICLR 2022, NeurIPS 2022
• Content editor for SigMM.org (2019-now)

Professional Acknowledgments

I have treasured over the years some unsolicited comments, feedbacks and good wishes from people that I deeply admired and respected. I decided to publish it here as some sort of “recommendation” or “testimonial”, and also to remind myself more often.

Thank you all very much, you helped me to be who I am today and will continue to influence who I will become in the future.