6 citations · 19 across the 14 of their papers we have counts for
9 papers · 1 filter
QuPAINT: Physics-Aware Multimodal Reasoning for Quantum Material Characterization
Sankalp Pandey, Xuan-Bac Nguyen, Hoang-Quan Nguyen +4
Characterizing two-dimensional (2D) quantum materials by optical microscopy requires localizing exfoliated flakes and determining their layer thickness from subtle optical contrast…
OpenQlaw: An Agentic AI Assistant for Analysis of 2D Quantum Materials
Sankalp Pandey, Xuan-Bac Nguyen, Thanh-Dat Truong +5
Physics-aware multimodal large language models (MLLMs) can localize and characterize two-dimensional (2D) material flakes from optical microscopy images, producing rich candidate o…
QuPAINT: Physics-Aware Instruction Tuning Approach to Quantum Material Discovery
Xuan-Bac Nguyen, Hoang-Quan Nguyen, Sankalp Pandey +4
Characterizing two-dimensional quantum materials from optical microscopy images is challenging due to the subtle layer-dependent contrast, limited labeled data, and significant var…
CLIFF: Continual Learning for Incremental Flake Features in 2D Material Identification
Sankalp Pandey, Xuan Bac Nguyen, Nicholas Borys +2
Identifying quantum flakes is crucial for scalable quantum hardware; however, automated layer classification from optical microscopy remains challenging due to substantial appearan…
-Adapt: A Physics-Informed Adaptation Learning Approach to 2D Quantum Material Discovery
Hoang-Quan Nguyen, Xuan Bac Nguyen, Sankalp Pandey +4
Characterizing quantum flakes is a critical step in quantum hardware engineering because the quality of these flakes directly influences qubit performance. Although computer vision…
Quantum-Brain: Quantum-Inspired Neural Network Approach to Vision-Brain Understanding
Hoang-Quan Nguyen, Xuan-Bac Nguyen, Hugh Churchill +4
Vision-brain understanding aims to extract semantic information about brain signals from human perceptions. Existing deep learning methods for vision-brain understanding are usuall…
QClusformer: A Quantum Transformer-based Framework for Unsupervised Visual Clustering
Xuan-Bac Nguyen, Hoang-Quan Nguyen, Samuel Yen-Chi Chen +3
Unsupervised vision clustering, a cornerstone in computer vision, has been studied for decades, yielding significant outcomes across numerous vision tasks. However, these algorithm…
Fairness in Visual Clustering: A Novel Transformer Clustering Approach
Xuan-Bac Nguyen, Chi Nhan Duong, Marios Savvides +3
Promoting fairness for deep clustering models in unsupervised clustering settings to reduce demographic bias is a challenging goal. This is because of the limitation of large-scale…
Two-Dimensional Quantum Material Identification via Self-Attention and Soft-labeling in Deep Learning
Xuan Bac Nguyen, Apoorva Bisht, Ben Thompson +3
In quantum machine field, detecting two-dimensional (2D) materials in Silicon chips is one of the most critical problems. Instance segmentation can be considered as a potential app…