7 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.LG2022
HQNAS: Auto CNN deployment framework for joint quantization and architecture search
Hongjiang Chen, Yang Wang, Leibo Liu +2
Deep learning applications are being transferred from the cloud to edge with the rapid development of embedded computing systems. In order to achieve higher energy efficiency with…
cs.LG2022
FAQS: Communication-efficient Federate DNN Architecture and Quantization Co-Search for personalized Hardware-aware Preferences
Hongjiang Chen, Yang Wang, Leibo Liu +2
Due to user privacy and regulatory restrictions, federate learning (FL) is proposed as a distributed learning framework for training deep neural networks (DNN) on decentralized dat…
cs.SD2019★ 7 cited
Small-footprint Keyword Spotting with Graph Convolutional Network
Xi Chen, Shouyi Yin, Dandan Song +3
Despite the recent successes of deep neural networks, it remains challenging to achieve high precision keyword spotting task (KWS) on resource-constrained devices. In this study, w…