44 citations · 57 across the 7 of their papers we have counts for
7 papers
IoT Federated Blockchain Learning at the Edge
James Calo, Benny Lo
IoT devices are sorely underutilized in the medical field, especially within machine learning for medicine, yet they offer unrivaled benefits. IoT devices are low-cost, energy-effi…
Revisiting Self-Supervised Contrastive Learning for Facial Expression Recognition
Yuxuan Shu, Xiao Gu, Guang-Zhong Yang +1
The success of most advanced facial expression recognition works relies heavily on large-scale annotated datasets. However, it poses great challenges in acquiring clean and consist…
Tackling Long-Tailed Category Distribution Under Domain Shifts
Xiao Gu, Yao Guo, Zeju Li +5
Machine learning models fail to perform well on real-world applications when 1) the category distribution P(Y) of the training dataset suffers from long-tailed distribution and 2)…
Mining Discriminative Food Regions for Accurate Food Recognition
Jianing Qiu, Frank P. -W. Lo, Yingnan Sun +2
Automatic food recognition is the very first step towards passive dietary monitoring. In this paper, we address the problem of food recognition by mining discriminative food region…
Human-Robot Shared Control for Surgical Robot Based on Context-Aware Sim-to-Real Adaptation
Dandan Zhang, Zicong Wu, Junhong Chen +10
Human-robot shared control, which integrates the advantages of both humans and robots, is an effective approach to facilitate efficient surgical operation. Learning from demonstrat…
Nonlinearity Compensation in a Multi-DoF Shoulder Sensing Exosuit for Real-Time Teleoperation
Rejin John Varghese, Anh Nguyen, Etienne Burdet +2
The compliant nature of soft wearable robots makes them ideal for complex multiple degrees of freedom (DoF) joints, but also introduce additional structural nonlinearities. Intuiti…
Design and Prototyping of a Bio-inspired Kinematic Sensing Suit for the Shoulder Joint: Precursor to a Multi-DoF Shoulder Exosuit
Rejin John Varghese, Benny P L Lo, Guang-Zhong Yang
Soft wearable robots are a promising new design paradigm for rehabilitation and active assistance applications. Their compliant nature makes them ideal for complex joints like the…