Concepedia

TaiYu Cheng

TC

Statistics

Publications

2

Citations

32

H-Index

2

Active since

2019

Affiliations

The University of Osaka(Current)

TaiYu Cheng is an author at The University of Osaka specializing in deep learning, computer science, and low-power multipliers.

Publications per year

2019–2020

2

Publications

2

Logarithm-approximate floating-point multiplier is applicable to power-efficient neural network training

TaiYu Cheng, Yukata Masuda, Jun Chen et al. · Integration · 2020 · 22 citations

Computing, Computer Engineering, Computer Science +10

Minimizing Power for Neural Network Training with Logarithm-Approximate Floating-Point Multiplier

TaiYu Cheng, Jaehoon Yu, Masanori Hashimoto · 2019 · 10 citations

Engineering, Computer Engineering, Computer Science +16

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