About me
I am a researcher with three years of experience in Machine Learning, Trustworthy & Explainable AI, and Optimization. I got the AISG PhD Fellowship granted by AI Singapore to pursue my PhD journey at the Singapore University of Technology and Design under the supervision of Professor Wei Lu since Sep 2024. More details can be found in my CV (updated Jun 2025).
News
- Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks has been accepted to AAAI-25
- Honored to be offered the AISG PhD Fellowship granted by AI Singapore for pursuing the PhD programme at Singapore University of Technology and Design (SUTD)
- A Framework for Controllable Pareto Front Learning with Completed Scalarization Functions and its Applications has been accepted to the journal Neural Networks
- Improving Pareto Front Learning via Multi-Sample Hypernetworks has been accepted to AAAI-23
Publications
Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks
Minh-Duc Nguyen, Phuong Mai Dinh, Quang-Huy Nguyen, Long P. Hoang , Dung D. Le
AAAI Conference on Artificial Intelligence, AAAI, 2025.
Improving Pareto Front Learning via Multi-Sample Hypernetworks
Long P. Hoang , Dung D. Le, Tuan A. Tran, Thang N. Tran
AAAI Conference on Artificial Intelligence, AAAI, 2023 (Oral).
A Framework for Controllable Pareto Front Learning with Completed Scalarization Functions and its Applications
Tuan A. Tran*, Long P. Hoang* , Dung D. Le, Thang N. Tran
Neural Networks, 2023.
Multi Deep Learning Model for Building Footprint Extraction from High Resolution Remote Sensing Image
Anh T. Ho, Tuan A. Tran, Long P. Hoang , Ha H. Le, Thang N. Tran
In Intelligent Systems and Networks, ICISN, 2022.
Preprint
Controllable Expensive Multi-objective Optimization with Warm-starting Gaussian Processes
Huy Q. Nguyen*, Long P. Hoang* , Hoang V. Vu, Dung D. Le
arXiv preprint arXiv:2311.15297, arXiv preprint, 2023.