I’m currently a second-year Ph.D. Student at The University of Iowa.
I’m interested in Machine Learning and its application in general, data-efficient and robust machine learning methods in specific. Currently, I mainly focus on deep generative models (VAEs, GANs) for sequential data with physics information from epidemiology problems. Previously, I worked on different ML topics such as Active Learning techniques, Bayesian Neural Networks, Distributionally Robust Optimization and Fairness problem.
Biography
Aug. 2022 – Present : Ph.D. Student at The University of Iowa.
Nov. 2019 – Jun. 2022 : Research Resident & AI Engineer at VinAI Research
Jun. 2018 – Apr. 2019 : Software developer at VC Corporation
Jun. 2017 – Jun. 2019 : Undergraduate research assistant at Data Science Lab, School of Information and Communication Technology, HUST
Aug. 2014 – Mar. 2019 : Student at Hanoi University of Science and Technology (HUST). I graduated one semester earlier than the five-year standard program with an Excellence Degree of Engineer in Information Systems
Publications
Distributionally Robust Fair Principal Components via Geodesic Descents
Hieu Vu*, Toan Tran, Man-Chung Yue, Viet Anh Nguyen
ICLR, 2022 - PDF
Bayesian Metric Learning for Robust Training of Deep Models under Noisy Labels
Hieu Vu*, Toan Tran, Gustavo Carneiro
preprint, 2020 - PDF
MAP Estimation With Bernoulli Randomness, and Its Application to Text Analysis and Recommender Systems
Xuan Bui, Hieu Vu*, Oanh Nguyen, Khoat Than
IEEE Access, 2020 - PDF
Awards
Excellence scholarship for the academic year of 2018 − 2019
Granted for top 1% students with highest CPA of School of Information and Communication Technology, HUST