| A 22nm, 10.8 μ W/15.1 μ W Dual Computing Modes High Power-Performance-Area Efficiency Domained Background Noise Aware Keyword- Spotting Processor B Liu, H Cai, Z Wang, Y Sun, Z Shen, W Zhu, Y Li, Y Gong, W Ge, J Yang, ... IEEE Transactions on Circuits and Systems I: Regular Papers 67 (12), 4733-4746, 2020 | 60 | 2020 |
| EERA-ASR: An energy-efficient reconfigurable architecture for automatic speech recognition with hybrid DNN and approximate computing B Liu, H Qin, Y Gong, W Ge, M Xia, L Shi IEEE Access 6, 52227-52237, 2018 | 43 | 2018 |
| An energy-efficient voice activity detector using deep neural networks and approximate computing B Liu, Z Wang, S Guo, H Yu, Y Gong, J Yang, L Shi Microelectronics Journal 87, 12-21, 2019 | 28 | 2019 |
| An ultra-low power always-on keyword spotting accelerator using quantized convolutional neural network and voltage-domain analog switching network-based approximate computing B Liu, Z Wang, W Zhu, Y Sun, Z Shen, L Huang, Y Li, Y Gong, W Ge IEEE Access 7, 186456-186469, 2019 | 25 | 2019 |
| ARA: Cross-Layer approximate computing framework based reconfigurable architecture for CNNs Y Gong, B Liu, W Ge, L Shi Microelectronics Journal 87, 33-44, 2019 | 20 | 2019 |
| More is less: Domain-specific speech recognition microprocessor using one-dimensional convolutional recurrent neural network B Liu, H Cai, Z Zhang, X Ding, Z Wang, Y Gong, W Liu, J Yang, Z Wang, ... IEEE Transactions on Circuits and Systems I: Regular Papers 69 (4), 1571-1582, 2021 | 17 | 2021 |
| EERA-KWS: A 163 TOPS/W always-on keyword spotting accelerator in 28nm CMOS using binary weight network and precision self-adaptive approximate computing B Liu, Z Wang, H Fan, J Yang, W Zhu, L Huang, Y Gong, W Ge, L Shi IEEE Access 7, 82453-82465, 2019 | 17 | 2019 |
| A Robust and Efficient Minutia-Based Fingerprint Matching Algorithm W Wen, Z Qi, Z Li, J Zhang, Y Gong, P Cao 2013 2nd IAPR Asian Conference on Pattern Recognition, 2013 | 16 | 2013 |
| E-ERA: An energy-efficient reconfigurable architecture for RNNs using dynamically adaptive approximate computing B Liu, W Dong, T Xu, Y Gong, W Ge, J Yang, L Shi IEICE Electronics Express 14 (15), 20170637-20170637, 2017 | 13 | 2017 |
| A 1D-CRNN inspired reconfigurable processor for noise-robust low-power keywords recognition B Liu, Z Shen, L Huang, Y Gong, Z Zhang, H Cai 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), 495-500, 2021 | 9 | 2021 |
| A novel design of pipeline MDC-FFT processor based on various memory access mechanism J Yang, D Zhang, Y Gong, B Liu 2016 International Conference on Cyber-Enabled Distributed Computing and …, 2016 | 7 | 2016 |
| EERA-DNN: An energy-efficient reconfigurable architecture for DNNs with hybrid bit-width and logarithmic multiplier Z Wang, M Xia, B Liu, X Ruan, Y Gong, J Yang, W Ge, J Yang IEICE Electronics Express 15 (8), 20180212-20180212, 2018 | 6 | 2018 |
| QCNN inspired reconfigurable keyword spotting processor with hybrid data-weight reuse methods Y Gong, Y Li, X Ding, H Yang, Z Zhang, X Zhang, W Ge, Z Wang, B Liu IEEE Access 8, 205878-205893, 2020 | 5 | 2020 |
| An efficient BCNN deployment method using quality-aware approximate computing B Liu, Z Wang, X Wang, R Zhang, A Xue, Q Shen, N Xie, Y Gong, Z Wang, ... IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2022 | 4 | 2022 |
| A background noise self-adaptive VAD using SNR prediction based precision dynamic reconfigurable approximate computing B Liu, Y Li, L Huang, H Cai, W Zhu, S Guo, Y Gong, Z Wang Proceedings of the 2020 on Great Lakes Symposium on VLSI, 271-275, 2020 | 4 | 2020 |
| Accelerating nested conditionals on CGRA with tag-based full predication method J Sha, W Song, Y Gong, Y Zhao IEEE Access 8, 109401-109410, 2020 | 4 | 2020 |
| Quality driven systematic approximation for binary-weight neural network deployment Y Gong, H Cai, H Wu, W Ge, H Yan, Z Wang, L Shi, B Liu IEEE Transactions on Circuits and Systems I: Regular Papers 69 (7), 2928-2940, 2022 | 3 | 2022 |
| Binarized weight neural-network inspired ultra-low power speech recognition processor with time-domain based digital-analog mixed approximate computing B Liu, H Cai, Y Gong, W Zhu, Y Li, W Ge, Z Wang 2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2020 | 3 | 2020 |
| An energy-efficient reconfigurable hybrid DNN architecture for speech recognition with approximate computing B Liu, S Guo, H Qin, Y Gong, J Yang, W Ge, J Yang 2018 IEEE 23rd International Conference on Digital Signal Processing (DSP), 1-5, 2018 | 3 | 2018 |
| An energy-efficient accelerator for hybrid bit-width DNNs B Liu, X Ruan, M Xia, Y Gong, J Yang, W Ge, J Yang 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2017 | 3 | 2017 |
Bo LiuAssociate Professor, Southeast UniversityBestätigte E-Mail-Adresse bei seu.edu.cn
