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Yuchen Zhao
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Information Theory Inspired Pattern Analysis for Time-series Data


Feb 22, 2023
Yushan Huang, Yuchen Zhao, Alexander Capstick, Francesca Palermo, Hamed Haddadi, Payam Barnaghi

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Using Entropy Measures for Monitoring the Evolution of Activity Patterns


Oct 05, 2022
Yushan Huang, Yuchen Zhao, Hamed Haddadi, Payam Barnaghi

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Towards Battery-Free Machine Learning and Inference in Underwater Environments


Feb 16, 2022
Yuchen Zhao, Sayed Saad Afzal, Waleed Akbar, Osvy Rodriguez, Fan Mo, David Boyle, Fadel Adib, Hamed Haddadi

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* 6 pages, HotMobile '22, March 9-10, 2022, Tempe, AZ, USA 
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Designing A Clinically Applicable Deep Recurrent Model to Identify Neuropsychiatric Symptoms in People Living with Dementia Using In-Home Monitoring Data


Oct 19, 2021
Francesca Palermo, Honglin Li, Alexander Capstick, Nan Fletcher-Lloyd, Yuchen Zhao, Samaneh Kouchaki, Ramin Nilforooshan, David Sharp, Payam Barnaghi

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* 13 pages, accepted to Research2Clinics WS @ NeurIPS 2021 
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Multimodal Federated Learning


Sep 10, 2021
Yuchen Zhao, Payam Barnaghi, Hamed Haddadi

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Semi-supervised Federated Learning for Activity Recognition


Nov 06, 2020
Yuchen Zhao, Hanyang Liu, Honglin Li, Payam Barnaghi, Hamed Haddadi

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A Library for Constraint Consistent Learning


Jul 12, 2018
Yuchen Zhao, Hsiu-Chin Lin, Matthew Howard

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Learning Singularity Avoidance


Jul 11, 2018
Jeevan Manavalan, Yuchen Zhao, Matthew Howard

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