7 citations · 11 across the 5 of their papers we have counts for
5 papers
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…
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…
Transformer with Bidirectional Decoder for Speech Recognition
Xi Chen, Songyang Zhang, Dandan Song +2
Attention-based models have made tremendous progress on end-to-end automatic speech recognition(ASR) recently. However, the conventional transformer-based approaches usually genera…
THUEE system description for NIST 2019 SRE CTS Challenge
Yi Liu, Tianyu Liang, Can Xu +9
This paper describes the systems submitted by the department of electronic engineering, institute of microelectronics of Tsinghua university and TsingMicro Co. Ltd. (THUEE) to the…
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…