Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Modeling learnable electrical synapse for high precision spatio-temporal recognition.

Z. Wu, Z. Zhang, H. Gao, J. Qin, R. Zhao, G. Zhao, and G. Li. Neural Networks, (2022)

Please choose a person to relate this publication to

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.

Jinglan Wu

Recovery of citric acid from fermentation broth using simulated moving bed technology: = Reinigung von Zitronensäure aus Fermentationslösung durch kontinuierliche ChromatographieJ. Wu. Uni Erlangen-Nürnberg, (2009)

Jinjin Wu

Yinghua Wu

Changzhu Wu

Haiyan Wu

Other publications of authors with the same name

High-Throughput Trellis Processor for Multistandard FEC Decoding.Z. Wu, and D. Liu. IEEE Trans. Very Large Scale Integr. Syst., 23 (12): 2757-2767 (2015)ARLIF: A Flexible and Efficient Recurrent Neuronal Model for Sequential Tasks.D. Gao, Z. Wu, Y. Wu, G. Li, and J. Pei. HBAI@IJCAI, volume 1369 of Communications in Computer and Information Science, page 1-13. Springer, (2020)Gated XNOR Networks: Deep Neural Networks with Ternary Weights and Activations under a Unified Discretization Framework.L. Deng, P. Jiao, J. Pei, Z. Wu, and G. Li. CoRR, (2017)Safe-Net: Solid and Abstract Feature Extraction Network for Pedestrian Attribute Recognition.D. Gao, Z. Wu, and W. Zhang. ICIP, page 1655-1659. IEEE, (2019)Matrix reordering techniques for memory conflict reduction for pipelined QC-LDPC decoder.Z. Wu, D. Liu, and Y. Zhang. ICCC, page 354-359. IEEE, (2014)Computational Complexity Analysis of FEC Decoding on SDR Platforms.Z. Wu, C. Gong, and D. Liu. J. Signal Process. Syst., 89 (2): 209-224 (2017)Loop acceleration and instruction repeat support for application specific instruction-set processors.Z. Wu, D. Liu, and X. Li. SoCC, page 251-256. IEEE, (2015)GXNOR-Net: Training deep neural networks with ternary weights and activations without full-precision memory under a unified discretization frameworkL. Deng, P. Jiao, J. Pei, Z. Wu, and G. Li. (2017)cite arxiv:1705.09283Comment: 11 pages, 13 figures.Accurate and Efficient LIF-Nets for 3D Detection and Recognition.Y. Shi, H. Li, H. Zhang, Z. Wu, and S. Ren. IEEE Access, (2020)LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and Efficient Spatiotemporal Information Processing.Z. Wu, H. Zhang, Y. Lin, G. Li, M. Wang, and Y. Tang. CoRR, (2020)

BibSonomy

Disambiguation of "Wu, Zhenzhi"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Modeling learnable electrical synapse for high precision spatio-temporal recognition.

Please choose a person to relate this publication to

Jinglan Wu

Jinjin Wu

Yinghua Wu

Changzhu Wu

Haiyan Wu

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Wu, Zhenzhi"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Modeling learnable electrical synapse for high precision spatio-temporal recognition.

Please choose a person to relate this publication to

Jinglan Wu

Jinjin Wu

Yinghua Wu

Changzhu Wu

Haiyan Wu

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Modeling learnable electrical synapse for high precision spatio-temporal recognition.