Tri Nguyen

I'm a last-year Ph.D. student working with Prof. Xiao Fu at Oregon State University. I'm interested in understanding and improving machine learning/AI techniques, using tools such as optimization, estimation, identifiability of matrix/tensor decomposition. My soon-to-be dissertation is on noisy label learning. This problem is prevalent across various domains, including clustering, classification, and more recently the LLM alignment using human feedback. My experience working on these different problems through the years suggests that model identification plays a very helpful guidance to design robust solutions with the help of crowd-sourcing labeled data.
At the moment, I'm looking for a full-time position in the ML/AI domain, with a focus on the practical applications of machine learning using principles from optimization, estimation, and model identification.

Publications

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