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Efficient Hardware Implementation of Cellular Neural Networks with Incremental Quantization and Early Exit.

X. Xu, Q. Lu, T. Wang, Y. Hu, C. Zhuo, J. Liu, and Y. Shi. JETC, 14 (4): 48:1-48:20 (2018)

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Di Liu University of Stuttgart

Narrow inhomogeneous distribution of spin-active emitters in silicon carbideR. Nagy, D. Dasari, C. Babin, D. Liu, V. Vorobyov, M. Niethammer, M. Widmann, T. Linkewitz, I. Gediz, R. Stöhr and 7 other author(s). Applied physics letters, 118 (14): 144003 (2021)Hybrids Made of Defective Nanodiamonds Interacting with DNA NucleobasesD. Liu, and M. Fyta. Nanotechnology, 30 (6): 065601 (2019)Spin-controlled generation of indistinguishable and distinguishable photons from silicon vacancy centres in silicon carbideN. Morioka, C. Babin, R. Nagy, I. Gediz, E. Hesselmeier, D. Liu, M. Joliffe, M. Niethammer, D. Dasari, V. Vorobyov and 10 other author(s). Nature Communications, (2020)

Jan Liu University of Stuttgart

M.Sc. Zhuoran Liu University of Stuttgart

Anji Liu University of Stuttgart

Dexing Liu University of Stuttgart

Other publications of authors with the same name

1-Bit Compressed Sensing Based Framework for Built-in Resonance Frequency Prediction Using On-Chip Noise Sensors.T. Wang, J. Liu, C. Zhuo, and Y. Shi. ICCAD, page 721-728. IEEE, (2015)Selective body biasing for post-silicon tuning of sub-threshold designs: A semi-infinite programming approach with Incremental Hypercubic Sampling.H. Geng, J. Liu, J. Liu, P. Luo, L. Cheng, S. Grant, and Y. Shi. Integration, (2016)Design-Phase Buffer Allocation for Post-Silicon Clock Binning by Iterative Learning.G. Zhang, B. Li, J. Liu, Y. Shi, and U. Schlichtmann. CoRR, (2017)Efficient hardware implementation of cellular neural networks with powers-of-two based incremental quantization.X. Xu, Q. Lu, T. Wang, J. Liu, Y. Hu, and Y. Shi. NCS, page 1:1-1:10. ACM, (2017)Effective CAD Research in the Sea of Papers.J. Liu, D. Juan, and Y. Shi. ICCAD, page 781-785. IEEE, (2015)On the Universal Approximability of Quantized ReLU Neural Networks.Y. Ding, J. Liu, and Y. Shi. CoRR, (2018)PBGAN: Partial Binarization of Deconvolution Based Generators.J. Liu, J. Zhang, Y. Ding, X. Xu, M. Jiang, and Y. Shi. CoRR, (2018)Privacy protection via appliance scheduling in smart homes.J. Wu, J. Liu, X. Hu, and Y. Shi. ICCAD, page 106. ACM, (2016)Optimizing Boiler Control in Real-Time with Machine Learning for Sustainability.Y. Ding, J. Liu, J. Xiong, M. Jiang, and Y. Shi. CIKM, page 2147-2154. ACM, (2018)Generative adversarial network based scalable on-chip noise sensor placement.J. Liu, Y. Ding, J. Yang, U. Schlichtmann, and Y. Shi. SoCC, page 239-242. IEEE, (2017)

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Disambiguation of "Liu, Jinglan"

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Efficient Hardware Implementation of Cellular Neural Networks with Incremental Quantization and Early Exit.

Please choose a person to relate this publication to

Di Liu University of Stuttgart

Jan Liu University of Stuttgart

M.Sc. Zhuoran Liu University of Stuttgart

Anji Liu University of Stuttgart

Dexing Liu University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Liu, Jinglan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Efficient Hardware Implementation of Cellular Neural Networks with Incremental Quantization and Early Exit.

Please choose a person to relate this publication to

Di Liu University of Stuttgart

Jan Liu University of Stuttgart

M.Sc. Zhuoran Liu University of Stuttgart

Anji Liu University of Stuttgart

Dexing Liu 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
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APA
Chicago
DIN 1505
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Efficient Hardware Implementation of Cellular Neural Networks with Incremental Quantization and Early Exit.