News

  • 05/2024: Our paper on Efficient and Effective Implicit Dynamic Graph Neural Network was accepted at KDD 2024.
  • 08/2022: I have started my Ph.D. journey at The University of Iowa.
  • 02/2022: Our paper on Distributionally Robust Fair Principal Components via Geodesic Descents was accepted at ICLR 2022.

Biography

I am a third-year Ph.D. student in Computer Science at The University of Iowa, advised by Prof. Bijaya Adhikari. Prior to joining UIowa, I spent two years as a research resident at VinAI Research and another six months as an AI Engineer there, where I was fortunate to work closely with Prof. Viet Anh Nguyen and Dr. Toan Tran, and many other talented colleagues. I received my Bachelor’s degree in Information Systems from Hanoi University of Science and Technology (HUST), where I worked as an undergraduate research assistant at the Data Science Lab under the mentorship of Prof. Khoat Than.

My research interests span machine learning, deep learning, and their applications, with a current focus on graph representation learning and deep generative models (VAEs, GANs, Diffusion) for graph and sequential data. I also have prior experience in active learning, Bayesian neural networks, and distributionally robust optimization. My long-term research goal is to develop data-efficient and robust deep learning models to accelerate their practical applications in real-world scenarios.

Publications

Efficient and Effective Implicit Dynamic Graph Neural Network
Yongjian Zhong, Hieu Vu, Tianbao Yang, Bijaya Adhikari
KDD, 2024 - PDF

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

Advisors

Collaborators