Hoang-Son Nguyen

About

I’m Sean, an M.S. student at Oregon State University working with Xiao Fu. My current research focuses on representation learning and self-supervised learning, with applications in multimodal learning, generative modeling, and interpretability. I received my B.Eng. from The Chinese University of Hong Kong in 2024, working with Hoi-To Wai on graph machine learning and signal processing.

Outside of work, my hobbies are cooking, falling in love with Asian cinema, and photographing my 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, domain translation, vision-language model, interpretability

News

• [Sep. 2025] Diverse influence component analysis is accepted at NeuRIPS 2025! We proposed a new approach to the hard problem of nonlinear mixture learning, via Jacobian geometry.
• [Sep. 2025] A preprint on graph learning is available here! We show that graph learning from smooth signals is implicitly robust to missing data.
• [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! A preprint is here.

Publications

Awards

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

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