Hoang-Son Nguyen | Oregon State University

About

I’m Sean, an M.S. student at Oregon State University working as a graduate research assistant with Prof. Xiao Fu. My current research focuses on representation learning and self-supervised learning, guided by principles of model identifiability, data efficiency, and robustness, with an eye for practical applications in domain translation and steering and aligning large foundation models. I received my B.Eng. in Artificial Intelligence from The Chinese University of Hong Kong in March 2024, working with Prof. Hoi-To Wai on robust graph signal processing and graph learning methods. Outside of work, my hobbies are writing, cooking, and photography.

Research Interests

deep representation learning, identifiability, causality, graph learning, matrix factorization

News

[April 2025] Our work on robustness of learning graph topology under partial observations was accepted at the Graph Signal Processing Workshop 2025.
[September 2024] I gave a talk on low-pass graph signal processing at Faculty of Data Science and Artificial Intelligence, National Economics University in Hanoi, Vietnam; the slides are available here (many thanks to Prof. Wai for presentation materials).
[July 2024] Our work on low-pass graph signal detection under partial observations was awarded Best Student Paper Award at IEEE SAM 2024!

Publications

On Detecting Low-pass Graph Signals under Partial Observations

Hoang-Son Nguyen, Hoi-To Wai

IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2024.

PDF Poster

On the Stability of Low Pass Graph Filter with a Large Number of Edge Rewires

Hoang-Son Nguyen, Yiran He, Hoi-To Wai

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022.

PDF Poster Slides

Awards

Best Student Paper Award at IEEE SAM, 2024
Professor Charles K. Kao Research Exchange Scholarship, 2023
University Admission Scholarship, 2019