activity
20202023
most citedE3NE: An End-to-End Framework for Accelerating Spiking Neural Networks with Emerging Neural Encoding on FPGAs

40 citations · 74 across the 11 of their papers we have counts for

collaborators
Showing 2020Show all

2 papers · 1 filter

cs.LG2020

Adaptive Precision Training for Resource Constrained Devices

Tian Huang, Tao Luo, Joey Tianyi Zhou

Learn in-situ is a growing trend for Edge AI. Training deep neural network (DNN) on edge devices is challenging because both energy and memory are constrained. Low precision traini…

cs.LG2020

EDCompress: Energy-Aware Model Compression for Dataflows

Zhehui Wang, Tao Luo, Joey Tianyi Zhou +1

Edge devices demand low energy consumption, cost and small form factor. To efficiently deploy convolutional neural network (CNN) models on edge device, energy-aware model compressi…