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Lepeng Huang
ORCID
Publication Activity (10 Years)
Years Active: 2019-2021
Publications (10 Years): 5
Top Topics
Convolutional Neural Network
Background Noise
Keyword Spotting
Low Power
Top Venues
ACM Great Lakes Symposium on VLSI
IEEE Access
DATE
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Publications
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Bo Liu
,
Zeyu Shen
,
Lepeng Huang
,
Yu Gong
,
Zilong Zhang
,
Hao Cai
A 1D-CRNN Inspired Reconfigurable Processor for Noise-robust Low-power Keywords Recognition.
DATE
(2021)
Bo Liu
,
Yan Li
,
Lepeng Huang
,
Hao Cai
,
Wentao Zhu
,
Shisheng Guo
,
Yu Gong
,
Zhen Wang
A Background Noise Self-adaptive VAD Using SNR Prediction Based Precision Dynamic Reconfigurable Approximate Computing.
ACM Great Lakes Symposium on VLSI
(2020)
Bo Liu
,
Yuhao Sun
,
Hao Cai
,
Zeyu Shen
,
Yu Gong
,
Lepeng Huang
,
Zhen Wang
An Ultra-low Power Keyword-Spotting Accelerator Using Circuit-Architecture-System Co-design and Self-adaptive Approximate Computing Based BWN.
ACM Great Lakes Symposium on VLSI
(2020)
Bo Liu
,
Zhen Wang
,
Hu Fan
,
Jing Yang
,
Bo Liu
,
Wentao Zhu
,
Lepeng Huang
,
Yu Gong
,
Wei Ge
,
Longxing Shi
EERA-KWS: A 163 TOPS/W Always-on Keyword Spotting Accelerator in 28nm CMOS Using Binary Weight Network and Precision Self-Adaptive Approximate Computing.
IEEE Access
7 (2019)
Bo Liu
,
Zhen Wang
,
Wentao Zhu
,
Yuhao Sun
,
Zeyu Shen
,
Lepeng Huang
,
Yan Li
,
Yu Gong
,
Wei Ge
An Ultra-Low Power Always-On Keyword Spotting Accelerator Using Quantized Convolutional Neural Network and Voltage-Domain Analog Switching Network-Based Approximate Computing.
IEEE Access
7 (2019)