About
Welcome to my homepage! My full name is Quang Dung Le (in Vietnamese: Lê Quang Dũng, in Chinese: 黎光勇) and I am a third-year Ingénieur student (Master’s level) at the École Polytechnique. I am currently doing research under the guidance of Professor Nhat Ho. Before that, I graduated from the Department of Mathematics, Mechanics, and Informatics, VNU University of Science, Ha Noi.
Email: dung.le-quang@polytechnique.edu.
Research Interests
My current research focuses mainly on Optimal Transport theory, in which I utilize various techniques to lower the computational complexity of Optimal Transport algorithms. Additionally, I am also interested the application of Deep Learning in Natural Language Processing.
Recent News
[June 2023] Our paper “Fast Approximation of the Generalized Sliced-Wasserstein Distance” is accepted to ICML Workshop on New Frontiers in Learning, Control, and Dynamical Systems, 2023.
[May 2023] Our paper “Rate of Convergence in the Smoluchowski-Kramers Approximation for Mean-field Stochastic Differential Equations” is accepted to Potential Analysis.
(*) denotes equal contribution.
Publications
Fast Approximation of the Generalized Sliced-Wasserstein Distance
Dung Le*, Huy Nguyen*, Khai Nguyen*, Nhat Ho
ICML Workshop on New Frontiers in Learning, Control, and Dynamical Systems, 2023 [arXiv] [OpenReview]
Rate of Convergence in the Smoluchowski-Kramers Approximation for Mean-field Stochastic Differential Equations
Ta Cong Son*, Dung Quang Le*, Manh Hong Duong*
Potential Analysis, 2023 [arXiv] [Springer]
Entropic Gromov-Wasserstein between Gaussian Distributions
Huy Nguyen*, Khang Le*, Dung Le*, Dat Do, Tung Pham, Nhat Ho
39th International Conference on Machine Learning (ICML 2022) [arXiv] [ICML]