Yingyan Lin

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20182023

most citedDeep

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-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions

91 citations · 644 across the 62 of their papers we have counts for

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eess.SP2022★ 4 cited

e-G2C: A 0.14-to-8.31 $μ$ J/Inference NN-based Processor with Continuous On-chip Adaptation for Anomaly Detection and ECG Conversion from EGM

Yang Zhao, Yongan Zhang, Yonggan Fu +10

This work presents the first silicon-validated dedicated EGM-to-ECG (G2C) processor, dubbed e-G2C, featuring continuous lightweight anomaly detection, event-driven coarse/precise c…

e-G2C: A 0.14-to-8.31 μJ/Inference NN-based Processor with Continuous On-chip Adaptation for Anomaly Detection and ECG Conversion from EGM

e-G2C: A 0.14-to-8.31 $μ$ J/Inference NN-based Processor with Continuous On-chip Adaptation for Anomaly Detection and ECG Conversion from EGM