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2020 – today
- 2021
[c3]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: 495-500- 2020
- [c2]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: 193-198 - [c1]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: 271-275
2010 – 2019
- 2019
- [j2]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: 82453-82465 (2019) - [j1]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: 186456-186469 (2019)
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