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Sparse ReRAM engine: joint exploration of activation and weight sparsity in compressed neural networks.

T. Yang, H. Cheng, C. Yang, I. Tseng, H. Hu, H. Chang, and H. Li. ISCA, page 236-249. ACM, (2019)

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Xiliu Yang University of Stuttgart

Yang Wang University of Stuttgart

Guangpu Yang University of Stuttgart

Hsiu-Yu Yang University of Stuttgart

Peihan Yang University of Stuttgart

Other publications of authors with the same name

A ReRAM Macro Using Dynamic Trip-Point-Mismatch Sampling Current-Mode Sense Amplifier and Low-DC Voltage-Mode Write-Termination Scheme Against Resistance and Write-Delay Variation.C. Lo, W. Lin, W. Lin, H. Lin, T. Yang, Y. Chiang, Y. King, C. Lin, Y. Chih, T. Chang and 1 other author(s). J. Solid-State Circuits, 54 (2): 584-595 (2019)Sparse ReRAM engine: joint exploration of activation and weight sparsity in compressed neural networks.T. Yang, H. Cheng, C. Yang, I. Tseng, H. Hu, H. Chang, and H. Li. ISCA, page 236-249. ACM, (2019)An Aggregation Method to Identify the RNA Meta-Stable Secondary Structure and its Functionally Interpretable Structure Ensemble.T. Yang. IEEE ACM Trans. Comput. Biol. Bioinform., 19 (1): 75-86 (2022)Inferring functional transcription factor-gene binding pairs by integrating transcription factor binding data with transcription factor knockout data.T. Yang, and W. Wu. BMC Systems Biology, 7 (S-6): S13 (2013)DL-RSIM: a simulation framework to enable reliable ReRAM-based accelerators for deep learning.M. Lin, H. Cheng, W. Lin, T. Yang, I. Tseng, C. Yang, H. Hu, H. Chang, H. Li, and M. Chang. ICCAD, page 31. ACM, (2018)A 10 nA Ultra-Low Quiescent Current and 60 ns Fast Transient Response Low-Dropout Regulator for Internet-of-Things.J. Huang, Y. Wen, T. Yang, J. Lee, G. Liu, K. Chen, Y. Lin, S. Lin, and T. Tsai. IEEE Trans. Circuits Syst. I Regul. Pap., 69 (1): 139-147 (2022)cisMEP: an integrated repository of genomic epigenetic profiles and cis-regulatory modules in Drosophila.T. Yang, C. Wang, P. Hung, and W. Wu. BMC Systems Biology, 8 (S-4): S8 (2014)Identifying biologically interpretable transcription factor knockout targets by jointly analyzing the transcription factor knockout microarray and the ChIP-chip data.T. Yang, and W. Wu. BMC Systems Biology, (2012)A 28-nm 320-Kb TCAM Macro Using Split-Controlled Single-Load 14T Cell and Triple-Margin Voltage Sense Amplifier.C. Xue, W. Zhao, T. Yang, Y. Chen, H. Yamauchi, and M. Chang. J. Solid-State Circuits, 54 (10): 2743-2753 (2019)Transcription factor regulatory modules provide the molecular mechanisms for functional redundancy observed among transcription factors in yeast.T. Yang. BMC Bioinformatics, 20-S (23): 630 (2019)

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Disambiguation of "Yang, Tzu-Hsien"

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Sparse ReRAM engine: joint exploration of activation and weight sparsity in compressed neural networks.

Please choose a person to relate this publication to

Xiliu Yang University of Stuttgart

Yang Wang University of Stuttgart

Guangpu Yang University of Stuttgart

Hsiu-Yu Yang University of Stuttgart

Peihan Yang University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Yang, Tzu-Hsien"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Sparse ReRAM engine: joint exploration of activation and weight sparsity in compressed neural networks.

Please choose a person to relate this publication to

Xiliu Yang University of Stuttgart

Yang Wang University of Stuttgart

Guangpu Yang University of Stuttgart

Hsiu-Yu Yang University of Stuttgart

Peihan Yang University of Stuttgart

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
EndNote
APA
Chicago
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Sparse ReRAM engine: joint exploration of activation and weight sparsity in compressed neural networks.