Hoang M. Nguyen

Hoang M. Nguyen

Full name (in the Vietnamese order): Nguyen Minh Hoang. Graduate student at University of Science, Vietnam National University (HCMUS).

News

  • [6/2023] Our recent work related to Self-supervised learning in the Large-scale Medical domain “LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching” has been published on ArXiv. Code is available at Github
  • [5/2023] I am a Research Assistant at College of Engineering & Computer Science at Vin University
  • [12/2022] I’m excited to have a AAAI 2023 paper titled “Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering”! Personal link
  • My current timezone is ICT (GMT+7).

Supervisor

  • Dr. Binh T. Nguyen, Faculty of Mathematics and Computer Science, HCM University of Science, Vietnam National University (HCMUS).
  • Dr. Daniel Sonntag, Scientific Director of Interactive Machine Learning Department, DFKI Saarbrücken.

Education

University of Science, Vietnam National University - Ho Chi Minh City, Vietnam

  • BS, Mathematics & Computer Science, Advisor: Assoc. Prof. Binh T. Nguyen.
  • Honors Program in Mathematics and Computer Science - a highly selective program with only 30 students chosen out of 300.
  • I graduated with a GPA of 9.12/10.0 and an exceptional thesis (10.0/10.0).
  • The university is one of the best undergraduate institutes in Vietnam in Mathematics.

Research interests

The research agenda mainly including:

  • Self-supervised learning in the Medical Domain: How can we utilize the self-supervised learning algorithms - learning visual representation without labeling data- to apply effectively in medical datasets?

Previous research experience

For my undergraduate thesis (2022), I worked on the problem of Fall Detection. The thesis is on the topic of Computer Vision as well as Medical domain, which interested me because I wanted to utilize the application of Computer Vision to avoid some serious injuries caused by falls in our community.

From 8/2022 to 4/2023, I was a Research Intern at the German Research Center for Artificial Intelligence (DFKI). I worked on utilizing Self-supervised learning for Medical data. You can find out more in my CV.