Tien Dat Nguyen

tdnguyen [at] uwaterloo.ca

I am a MS student at Waterloo university, advised by Victor Zhong. I am interested in leveraging language to make Machine Learning more efficient and generalizable.

CV / Google Scholar / GitHub / Twitter / LinkedIn

News

Sep 2024: I start my graduate study at Waterloo University.
Feb 2024: I graduated from KAIST University.

Research

* denotes equal contribution.

Learning Symmetrization for Equivariance with Orbit Distance Minimization
Tien Dat Nguyen*, Jinwoo Kim*, Hongseok Yang, Seunghoon Hong
NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 2023
paper / code / poster

Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance
Jinwoo Kim,Tien Dat Nguyen, Ayhan Suleymanzade, Hyeokjun An, Seunghoon Hong
NeurIPS, 2023 (Spotlight Presentation)
paper / code / poster / slides (extended)

Pure Transformers are Powerful Graph Learners
Jinwoo Kim, Tien Dat Nguyen, Seonwoo Min, Sungjun Cho, Moontae Lee, Honglak Lee, Seunghoon Hong
NeurIPS, 2022
paper / code / talk / poster / slides (extended)

Experience

Vision & Learning Lab (KAIST)
Research Intern, 2021-2023 (Advisors: Seunghoon Hong and Jinwoo Kim)

Honors

Excellence Award, Undegraduate Research Program (KAIST), Spring 2022
Recipient Dean's List, Spring 2021 (KAIST)
First Prize, Vietnam National Olympiad Mathematics, 2018
Third Prize, Vietnam National Olympiad Mathematics, 2017

Music

I love listening to music and have a plan to learn composing in near future! My favorite musical artists include Justatee, Son Tung, and Soobin Hoang Son. Below are some of my favorite songs:

Last updated: Sep 2024

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