Hoang-Quan Nguyen

I am currently a PhD candidate at the University of Arkansas, where I am supervised by Dr. Khoa Luu. I am a research assistant at the Computer Vision and Image Understanding Lab. In 2022, I received my B.Sc. degree in Computer Science from the Honors Program at the University of Science, VNU-HCM under the supervision of Dr. Khoa Luu and Dr. Son Tran. My research interest includes computer vision, deep learning, and quantum machine learning.

Email / Google Scholar / LinkedIn

Research

	QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks Hoang-Quan Nguyen, Xuan-Bac Nguyen, Sankalp Pandey, Samee U Khan, Ilya Safro, and Khoa Luu IEEE International Conference on Quantum Computing and Engineering (QCE) Workshop, 2025 arxiv /
	QUADRO: A Hybrid Quantum Optimization Framework for Drone Delivery James B Holliday, Darren Blount, Hoang-Quan Nguyen, Samee U Khan, Khoa Luu IEEE International Conference on Quantum Computing and Engineering (QCE), 2025 arxiv /
	Insect-Foundation: A Foundation Model and Large Multimodal Dataset for Vision-Language Insect Understanding Thanh-Dat Truong, Hoang-Quan Nguyen, Xuan Bac Nguyen, Ashley Dowling, Xin Li, and Khoa Luu International Journal of Computer Vision (IJCV), 2025 arxiv / website /
	Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits Hoang-Quan Nguyen, Xuan Bac Nguyen, Samuel Yen-Chi Chen, Hugh Churchill, Nicholas Borys, Samee U. Khan, Khoa Luu Quantum Machine Intelligence, 2025 arxiv /
	Quantum-Brain: Quantum-Inspired Neural Network Approach to Vision-Brain Understanding Hoang-Quan Nguyen, Xuan-Bac Nguyen, Hugh Churchill, Arabinda Kumar Choudhary, Pawan Sinha, Samee U. Khan, Khoa Luu arXiv, 2024 arxiv /
	Hierarchical Quantum Control Gates for Functional MRI Understanding Xuan-Bac Nguyen, Hoang-Quan Nguyen, Hugh Churchill, Samee U. Khan, Khoa Luu IEEE Workshop on Signal Processing Systems, 2024 arxiv /
	Quantum Visual Feature Encoding Revisited Xuan-Bac Nguyen, Hoang-Quan Nguyen, Hugh Churchill, Samee U. Khan, and Khoa Luu Quantum Machine Intelligence, 2024 arxiv /
	QClusformer: A Quantum Transformer-based Framework for Unsupervised Visual Clustering Xuan-Bac Nguyen, Hoang-Quan Nguyen, Samuel Yen-Chi Chen, Samee U. Khan, Hugh Churchill, Khoa Luu IEEE International Conference on Quantum Computing and Engineering (QCE) Workshop, 2024 arxiv /
	Insect-Foundation: A Foundation Model and Large-scale 1M Dataset for Visual Insect Understanding Hoang-Quan Nguyen, Thanh-Dat Truong, Xuan Bac Nguyen, Ashley Dowling, Xin Li, and Khoa Luu CVPR (Highlight), 2024 arxiv / video / code / poster / website /
	Fairness Continual Learning Approach to Semantic Scene Understanding in Open-World Environments Thanh-Dat Truong, Hoang-Quan Nguyen, Bhiksha Raj, Khoa Luu NeurIPS, 2023 arxiv / video / code / poster /

Source code from Leonid Keselman's website

Hoang-Quan Nguyen

Research

QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks

QUADRO: A Hybrid Quantum Optimization Framework for Drone Delivery

Insect-Foundation: A Foundation Model and Large Multimodal Dataset for Vision-Language Insect Understanding

Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits

Quantum-Brain: Quantum-Inspired Neural Network Approach to Vision-Brain Understanding

Hierarchical Quantum Control Gates for Functional MRI Understanding

Quantum Visual Feature Encoding Revisited

QClusformer: A Quantum Transformer-based Framework for Unsupervised Visual Clustering

Insect-Foundation: A Foundation Model and Large-scale 1M Dataset for Visual Insect Understanding

Fairness Continual Learning Approach to Semantic Scene Understanding in Open-World Environments