About Me

I am a researcher with three years of experience in Machine Learning, Trustworthy & Explainable AI, and Optimization. I received the AISG PhD Fellowship granted by AI Singapore to pursue my PhD journey at the Singapore University of Technology and Design under the co-supervision of Assistant Professor Wenxuan Zhang and Professor Wei Lu.

My CV


Recent News


Selected Publications

Difficulty–Diversity Collaborative Filtering for Data-Efficient LLM Fine-Tuning

Long P. Hoang, Wenxuan Zhang, Wei Lu

International Conference on Learning Representations (ICLR), 2026

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

Intelligent Systems and Networks (ICISN), 2022


Preprints

Controllable Expensive Multi-objective Optimization with Warm-starting Gaussian Processes

Huy Q. Nguyen*, Long P. Hoang*, Hoang V. Vu, Dung D. Le

arXiv preprint, 2023