3 citations · 4 across the 5 of their papers we have counts for
5 papers
Reperio-rPPG: Relational Temporal Graph Neural Networks for Periodicity Learning in Remote Physiological Measurement
Ba-Thinh Nguyen, Thach-Ha Ngoc Pham, Hoang-Long Duc Nguyen +2
Remote photoplethysmography (rPPG) is an emerging contactless physiological sensing technique that leverages subtle color variations in facial videos to estimate vital signs such a…
VoteGCL: Enhancing Graph-based Recommendations with Majority-Voting LLM-Rerank Augmentation
Minh-Anh Nguyen, Bao Nguyen, Ha Lan N. T. +3
Recommendation systems often suffer from data sparsity caused by limited user-item interactions, which degrade their performance and amplify popularity bias in real-world scenarios…
Multi-agent reinforcement learning strategy to maximize the lifetime of Wireless Rechargeable
Bao Nguyen
The thesis proposes a generalized charging framework for multiple mobile chargers to maximize the network lifetime and ensure target coverage and connectivity in large scale WRSNs.…
Sheaf HyperNetworks for Personalized Federated Learning
Bao Nguyen, Lorenzo Sani, Xinchi Qiu +2
Graph hypernetworks (GHNs), constructed by combining graph neural networks (GNNs) with hypernetworks (HNs), leverage relational data across various domains such as neural architect…
Unsupervised Region-based Anomaly Detection in Brain MRI with Adversarial Image Inpainting
Bao Nguyen, Adam Feldman, Sarath Bethapudi +2
Medical segmentation is performed to determine the bounds of regions of interest (ROI) prior to surgery. By allowing the study of growth, structure, and behaviour of the ROI in the…