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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, B. Liu, W. Zhu, L. Huang, Y. Gong, W. Ge, and L. Shi. IEEE Access, (2019)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Lifang Zhu University of Stuttgart

Yuqicheng Zhu University of Stuttgart

PD Dr. -Ing. Ningyan Zhu University of Stuttgart

Inna Zhuravlova University of Stuttgart

Other publications of authors with the same name

Transceiver Optimization for the Multi-Antenna Downlink in MIMO Cognitive System.W. Zhu, J. Yang, T. Jia, and X. Liu. TIIS, 9 (12): 5015-5027 (2015)Patlak Image Estimation From Dual Time-Point List-Mode PET Data.W. Zhu, Q. Li, B. Bai, P. Conti, and R. Leahy. IEEE Trans. Med. Imaging, 33 (4): 913-924 (2014)Vehicle detection in driving simulation using extreme learning machine.W. Zhu, J. Miao, J. Hu, and L. Qing. Neurocomputing, (2014)A Fast Non-searching Algorithm for the High-Speed Target Detection.J. Zheng, T. Su, W. Zhu, and Q. Liu. ICSEng, volume 366 of Advances in Intelligent Systems and Computing, page 777-782. Springer, (2014)DeepEM: Deep 3D ConvNets with EM for Weakly Supervised Pulmonary Nodule Detection.W. Zhu, Y. Vang, Y. Huang, and X. Xie. MICCAI (2), volume 11071 of Lecture Notes in Computer Science, page 812-820. Springer, (2018)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, B. Liu, W. Zhu, L. Huang, Y. Gong, W. Ge, and L. Shi. IEEE Access, (2019)A multi-scale unsupervised learning for deformable image registration.S. Shao, Z. Pei, W. Chen, W. Zhu, X. Wu, and B. Zhang. Int. J. Comput. Assist. Radiol. Surg., 17 (1): 157-166 (2022)MoCaNet: Motion Retargeting in-the-wild via Canonicalization Networks.W. Zhu, Z. Yang, Z. Di, W. Wu, Y. Wang, and C. Loy. CoRR, (2021)Privacy-Preserving Federated Brain Tumour Segmentation.W. Li, F. Milletarì, D. Xu, N. Rieke, J. Hancox, W. Zhu, M. Baust, Y. Cheng, S. Ourselin, M. Cardoso and 1 other author(s). MLMI@MICCAI, volume 11861 of Lecture Notes in Computer Science, page 133-141. Springer, (2019)Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan.D. Yang, Z. Xu, W. Li, A. Myronenko, H. Roth, S. Harmon, S. Xu, B. Turkbey, E. Turkbey, X. Wang and 10 other author(s). CoRR, (2020)

PUMA

Disambiguation of "Zhu, Wentao"

Please choose a person to relate this publication to

Lifang Zhu University of Stuttgart

Yuqicheng Zhu University of Stuttgart

PD Dr. -Ing. Ningyan Zhu University of Stuttgart

Inna Zhuravlova University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Zhu, Wentao"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML EERA-KWS: A 163 TOPS/W Always-on Keyword Spotting Accelerator in 28nm CMOS Using Binary Weight Network and Precision Self-Adaptive Approximate Computing.

Please choose a person to relate this publication to

Lifang Zhu University of Stuttgart

Yuqicheng Zhu University of Stuttgart

PD Dr. -Ing. Ningyan Zhu University of Stuttgart

Inna Zhuravlova University of Stuttgart

Other publications of authors with the same name

Disambiguation