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Guest Editorial Low-Power, Adaptive Neuromorphic Systems: Devices, Circuit, Architectures and Algorithms.

A. Basu, M. Chang, E. Chicca, T. Karnik, H. Li, and J. sun Seo. IEEE J. Emerg. Sel. Topics Circuits Syst., 8 (1): 1-5 (2018)

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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.

M.Sc. Yunxuan Li University of Stuttgart

Yu Li University of Stuttgart

Dr. -Ing. Tobias Haist University of Stuttgart

Sören Hain University of Stuttgart

Richard Haidl University of Stuttgart

Other publications of authors with the same name

ICE: Inline calibration for memristor crossbar-based computing engine.B. Li, Y. Wang, Y. Chen, H. Li, and H. Yang. DATE, page 1-4. European Design and Automation Association, (2014)Library-Based Placement and Routing in FPGAs with Support of Partial Reconfiguration.F. Mao, Y. Chen, W. Zhang, H. Li, and B. He. ACM Trans. Design Autom. Electr. Syst., 21 (4): 71:1-71:26 (2016)Looking Ahead for Resistive Memory Technology: A broad perspective on ReRAM technology for future storage and computing.H. Li, Y. Chen, C. Liu, J. Strachan, and N. Davila. IEEE Consumer Electronics Magazine, 6 (1): 94-103 (2017)Guest Editorial Low-Power, Adaptive Neuromorphic Systems: Devices, Circuit, Architectures and Algorithms.A. Basu, M. Chang, E. Chicca, T. Karnik, H. Li, and J. sun Seo. IEEE J. Emerg. Sel. Topics Circuits Syst., 8 (1): 1-5 (2018)SPN dash: fast detection of adversarial attacks on mobile via sensor pattern noise fingerprinting.K. Nixon, J. Mao, J. Shen, H. Yang, H. Li, and Y. Chen. ICCAD, page 132. ACM, (2018)Pulse-Width Modulation based Dot-Product Engine for Neuromorphic Computing System using Memristor Crossbar Array.H. Jiang, K. Yamada, Z. Ren, T. Kwok, F. Luo, Q. Yang, X. Zhang, J. Yang, Q. Xia, Y. Chen and 3 other author(s). ISCAS, page 1-4. IEEE, (2018)Efficient Process-in-Memory Architecture Design for Unsupervised GAN-based Deep Learning using ReRAM.F. Chen, L. Song, and H. Li. ACM Great Lakes Symposium on VLSI, page 423-428. ACM, (2019)Understanding the design of IBM neurosynaptic system and its tradeoffs: A user perspective.H. Cheng, W. Wen, C. Wu, S. Li, H. Li, and Y. Chen. DATE, page 139-144. IEEE, (2017)Hardware implementation of echo state networks using memristor double crossbar arrays.A. Hassan, H. Li, and Y. Chen. IJCNN, page 2171-2177. IEEE, (2017)Running sparse and low-precision neural network: When algorithm meets hardware.B. Li, W. Wen, J. Mao, S. Li, Y. Chen, and H. Li. ASP-DAC, page 534-539. IEEE, (2018)

PUMA

Disambiguation of "Li, Hai Helen"

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Guest Editorial Low-Power, Adaptive Neuromorphic Systems: Devices, Circuit, Architectures and Algorithms.

Please choose a person to relate this publication to

M.Sc. Yunxuan Li University of Stuttgart

Yu Li University of Stuttgart

Dr. -Ing. Tobias Haist University of Stuttgart

Sören Hain University of Stuttgart

Richard Haidl University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Li, Hai Helen"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Guest Editorial Low-Power, Adaptive Neuromorphic Systems: Devices, Circuit, Architectures and Algorithms.

Please choose a person to relate this publication to

M.Sc. Yunxuan Li University of Stuttgart

Yu Li University of Stuttgart

Dr. -Ing. Tobias Haist University of Stuttgart

Sören Hain University of Stuttgart

Richard Haidl University of Stuttgart

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

Guest Editorial Low-Power, Adaptive Neuromorphic Systems: Devices, Circuit, Architectures and Algorithms.