Hoang-Son Nguyen | Oregon State University

About

I’m Sean, an M.S. student at Oregon State University working with Xiao Fu. My current research focuses on generative models that can provably learn a faithful, robust representation of real-world phenomena from observed data. To achieve this, I use a diverse toolkit from matrix factorization, self-supervised learning, signal processing, etc. to develop new representation learning methods from first principles.

Previously, I received my B.Eng. from The Chinese University of Hong Kong in 2024, working with Hoi-To Wai. In the beautiful city of Hong Kong, I studied robust graph learning/graph signal processing against topology perturbation and missing data.

Outside of work, my hobbies are cooking, falling in love with Asian cinema, and photographing my life with close friends whenever I can. Feel free to ping me an email for a coffee chat, work-related or not!

Research Interests

representation learning, self-supervised learning, graph machine learning, graph signal processing, matrix factorization, multimodal learning, data attribution, data selection, compositional generalization

News

[Nov. 2025] I’m looking for a PhD starting Fall 2026!
[Sep. 2025] Diverse Influence Component Analysis is accepted at NeurIPS 2025!
[Sep. 2025] A preprint on graph learning is available here, showing that graph topology learning from smooth signals is implicitly robust to missing nodes.
[April 2025] Our contribution on graph learning under partial observation was accepted at the Graph Signal Processing Workshop 2025. The poster is available here.
[September 2024] I gave a talk on low-pass graph signal processing at Faculty of Data Science and AI, National Economics University in Hanoi, Vietnam; the slides are here.
[July 2024] Our work on low-pass graph signal detection under partial observations was awarded Best Student Paper Award at IEEE SAM 2024!

Publications

NeurIPS

Diverse Influence Component Analysis: A Geometric Approach to Nonlinear Mixture Identifiability

Hoang-Son Nguyen, Xiao Fu

Conference on Neural Information Processing Systems (NeurIPS), 2025.

PDF Code Poster

Preprint

Learning Graph from Smooth Signals under Partial Observation: A Robustness Analysis

Hoang-Son Nguyen, Hoi-To Wai

Preprint, 2025.

PDF

SAM

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 Best Student Paper Award

ICASSP

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

Selected Awards

Best Student Paper Award at IEEE SAM, 2024.
Charles K. Kao Research Exchange Scholarship, 2023.
CUHK CSE Outstanding Academic Performance, 2021.
CUHK Admission Scholarship, 2019.