Xuan-Bac Nguyen

Orcid: 0000-0001-8495-5469

According to our database1, Xuan-Bac Nguyen authored at least 31 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
OpenQlaw: An Agentic AI Assistant for Analysis of 2D Quantum Materials.
CoRR, March, 2026

BRACTIVE: A Brain Activation Approach to Human Visual Brain Learning.
IEEE Trans. Pattern Anal. Mach. Intell., February, 2026

QuPAINT: Physics-Aware Instruction Tuning Approach to Quantum Material Discovery.
CoRR, February, 2026

COBRA: A Continual Learning Approach to Vision-Brain Understanding.
Int. J. Comput. Vis., January, 2026

2025
Insect-Foundation: A Foundation Model and Large Multimodal Dataset for Vision-Language Insect Understanding.
Int. J. Comput. Vis., October, 2025

BRAIN: Bias-Mitigation Continual Learning Approach to Vision-Brain Understanding.
CoRR, August, 2025

CLIFF: Continual Learning for Incremental Flake Features in 2D Material Identification.
CoRR, August, 2025

φ-Adapt: A Physics-Informed Adaptation Learning Approach to 2D Quantum Material Discovery.
CoRR, July, 2025

Diffusion-inspired quantum noise mitigation in parameterized quantum circuits.
Quantum Mach. Intell., June, 2025

Brainformer: Mimic human visual brain functions to machine vision models via fMRI.
Neurocomputing, 2025

QMoE: A Quantum Mixture of Experts Framework for Scalable Quantum Neural Networks.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2025

2024
Quantum visual feature encoding revisited.
Quantum Mach. Intell., December, 2024

COBRA: A Continual Learning Approach to Vision-Brain Understanding.
CoRR, 2024

Quantum-Brain: Quantum-Inspired Neural Network Approach to Vision-Brain Understanding.
CoRR, 2024

A Novel Dataset for Video-Based Autism Classification Leveraging Extra-Stimulatory Behavior.
CoRR, 2024

Video-Based Autism Detection with Deep Learning.
CoRR, 2024

Two-Dimensional Quantum Material Identification via Self-Attention and Soft-Labeling in Deep Learning.
IEEE Access, 2024

Hierarchical Quantum Control Gates for Functional MRI Understanding.
Proceedings of the IEEE Workshop on Signal Processing Systemsm, 2024

QClusformer: A Quantum Transformer-based Framework for Unsupervised Visual Clustering.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Insect-Foundation: A Foundation Model and Large-Scale 1M Dataset for Visual Insect Understanding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Brainformer: Modeling MRI Brain Functions to Machine Vision.
CoRR, 2023

Quantum Vision Clustering.
CoRR, 2023

The Algonauts Project 2023 Challenge: UARK-UAlbany Team Solution.
CoRR, 2023

Fairness in Visual Clustering: A Novel Transformer Clustering Approach.
CoRR, 2023

Micron-BERT: BERT-Based Facial Micro-Expression Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Two-Dimensional Quantum Material Identification via Self-Attention and Soft-labeling in Deep Learning.
CoRR, 2022

OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Multi-Camera Multiple 3D Object Tracking on the Move for Autonomous Vehicles.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Clusformer: A Transformer Based Clustering Approach to Unsupervised Large-Scale Face and Visual Landmark Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Self-Supervised Learning Based on Spatial Awareness for Medical Image Analysis.
IEEE Access, 2020

2019
Audio-Video Based Emotion Recognition Using Minimum Cost Flow Algorithm.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019


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