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20202023
most citedIntermittent Inference with Nonuniformly Compressed Multi-Exit Neural Network for Energy Harvesting Powered Devices

7 citations · 21 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.LG2022★ 3 cited

Federated Self-Supervised Contrastive Learning and Masked Autoencoder for Dermatological Disease Diagnosis

Yawen Wu, Dewen Zeng, Zhepeng Wang +5

In dermatological disease diagnosis, the private data collected by mobile dermatology assistants exist on distributed mobile devices of patients. Federated learning (FL) can use de…

cs.LG2021★ 3 cited

Decentralized Unsupervised Learning of Visual Representations

Yawen Wu, Zhepeng Wang, Dewen Zeng +3

Collaborative learning enables distributed clients to learn a shared model for prediction while keeping the training data local on each client. However, existing collaborative lear…

cs.LG2020★ 3 cited

Personalized Deep Learning for Ventricular Arrhythmias Detection on Medical IoT Systems

Zhenge Jia, Zhepeng Wang, Feng Hong +3

Life-threatening ventricular arrhythmias (VA) are the leading cause of sudden cardiac death (SCD), which is the most significant cause of natural death in the US. The implantable c…

cs.LG2020★ 3 cited

Enabling On-Device CNN Training by Self-Supervised Instance Filtering and Error Map Pruning

Yawen Wu, Zhepeng Wang, Yiyu Shi +1

This work aims to enable on-device training of convolutional neural networks (CNNs) by reducing the computation cost at training time. CNN models are usually trained on high-perfor…

cs.LG2020★ 7 cited

Intermittent Inference with Nonuniformly Compressed Multi-Exit Neural Network for Energy Harvesting Powered Devices

Yawen Wu, Zhepeng Wang, Zhenge Jia +2

This work aims to enable persistent, event-driven sensing and decision capabilities for energy-harvesting (EH)-powered devices by deploying lightweight DNNs onto EH-powered devices…