37 citations · 65 across the 3 of their papers we have counts for
3 papers
cs.LG2022
Using Entropy Measures for Monitoring the Evolution of Activity Patterns
Yushan Huang, Yuchen Zhao, Hamed Haddadi +1
In this work, we apply information theory inspired methods to quantify changes in daily activity patterns. We use in-home movement monitoring data and show how they can help indica…
cs.LG2022★ 28 cited
Towards Battery-Free Machine Learning and Inference in Underwater Environments
Yuchen Zhao, Sayed Saad Afzal, Waleed Akbar +5
This paper is motivated by a simple question: Can we design and build battery-free devices capable of machine learning and inference in underwater environments? An affirmative answ…
cs.LG2020★ 37 cited
Semi-supervised Federated Learning for Activity Recognition
Yuchen Zhao, Hanyang Liu, Honglin Li +2
Training deep learning models on in-home IoT sensory data is commonly used to recognise human activities. Recently, federated learning systems that use edge devices as clients to s…