38 citations · 45 across the 6 of their papers we have counts for
7 papers
TinyDrop: Tiny Model Guided Token Dropping for Vision Transformers
Guoxin Wang, Qingyuan Wang, Binhua Huang +2
Vision Transformers (ViTs) achieve strong performance in image classification but incur high computational costs from processing all image tokens. To reduce inference costs in larg…
MoCrop: Training Free Motion Guided Cropping for Efficient Video Action Recognition
Binhua Huang, Wendong Yao, Shaowu Chen +3
Standard video action recognition models often process typically resized full frames, suffering from spatial redundancy and high computational costs. To address this, we introduce…
Optimal Brain Connection: Towards Efficient Structural Pruning
Shaowu Chen, Wei Ma, Binhua Huang +5
Structural pruning has been widely studied for its effectiveness in compressing neural networks. However, existing methods often neglect the interconnections among parameters. To a…
ORXE: Orchestrating Experts for Dynamically Configurable Efficiency
Qingyuan Wang, Guoxin Wang, Barry Cardiff +1
This paper presents ORXE, a modular and adaptable framework for achieving real-time configurable efficiency in AI models. By leveraging a collection of pre-trained experts with div…
ECG Biometric Authentication Using Self-Supervised Learning for IoT Edge Sensors
Guoxin Wang, Shreejith Shanker, Avishek Nag +2
Wearable Internet of Things (IoT) devices are gaining ground for continuous physiological data acquisition and health monitoring. These physiological signals can be used for securi…
Unsupervised Pre-Training Using Masked Autoencoders for ECG Analysis
Guoxin Wang, Qingyuan Wang, Ganesh Neelakanta Iyer +2
Unsupervised learning methods have become increasingly important in deep learning due to their demonstrated large utilization of datasets and higher accuracy in computer vision and…
Continuous User Authentication using IoT Wearable Sensors
Conor Smyth, Guoxin Wang, Rajesh Panicker +3
Over the past several years, the electrocardiogram (ECG) has been investigated for its uniqueness and potential to discriminate between individuals. This paper discusses how this d…