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Yoonho Boo
ORCID
Publication Activity (10 Years)
Years Active: 2017-2022
Publications (10 Years): 21
Top Topics
Speech Recognition
Quantization Noise
Step Size
Embedded Devices
Top Venues
CoRR
ICASSP
SiPS
AAAI
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Publications
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Hyunsung Kim
,
Sungyeob Yoo
,
Jaewan Bae
,
Kyeongryeol Bong
,
Yoonho Boo
,
Karim Charfi
,
Hyo-Eun Kim
,
Hyun Suk Kim
,
Jinseok Kim
,
Byungjae Lee
,
Jaehwan Lee
,
Myeongbo Shim
,
Sungho Shin
,
Jeong Seok Woo
,
Joo-Young Kim
,
Sunghyun Park
,
Jinwook Oh
LightTrader : World's first AI-enabled High-Frequency Trading Solution with 16 TFLOPS / 64 TOPS Deep Learning Inference Accelerators.
HCS
(2022)
Yoonho Boo
,
Sungho Shin
,
Jungwook Choi
,
Wonyong Sung
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks.
AAAI
(2021)
Sungho Shin
,
Yoonho Boo
,
Wonyong Sung
SQWA: Stochastic Quantized Weight Averaging For Improving The Generalization Capability Of Low-Precision Deep Neural Networks.
ICASSP
(2021)
Yoonho Boo
,
Sungho Shin
,
Wonyong Sung
Quantized Neural Networks: Characterization and Holistic Optimization.
CoRR
(2020)
Sungho Shin
,
Yoonho Boo
,
Wonyong Sung
Knowledge Distillation for Optimization of Quantized Deep Neural Networks.
SiPS
(2020)
Sungho Shin
,
Jinhwan Park
,
Yoonho Boo
,
Wonyong Sung
HLHLp: Quantized Neural Networks Training for Reaching Flat Minima in Loss Surface.
AAAI
(2020)
Yoonho Boo
,
Sungho Shin
,
Wonyong Sung
Quantized Neural Networks: Characterization and Holistic Optimization.
SiPS
(2020)
Yoonho Boo
,
Wonyong Sung
Fixed-Point Optimization of Transformer Neural Network.
ICASSP
(2020)
Yoonho Boo
,
Sungho Shin
,
Jungwook Choi
,
Wonyong Sung
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks.
CoRR
(2020)
Sungho Shin
,
Yoonho Boo
,
Wonyong Sung
SQWA: Stochastic Quantized Weight Averaging for Improving the Generalization Capability of Low-Precision Deep Neural Networks.
CoRR
(2020)
Yoonho Boo
,
Sungho Shin
,
Wonyong Sung
Memorization Capacity of Deep Neural Networks under Parameter Quantization.
ICASSP
(2019)
Yoonho Boo
,
Wonyong Sung
Compression of Deep Neural Networks with Structured Sparse Ternary Coding.
J. Signal Process. Syst.
91 (9) (2019)
Sungho Shin
,
Yoonho Boo
,
Wonyong Sung
Empirical Analysis of Knowledge Distillation Technique for Optimization of Quantized Deep Neural Networks.
CoRR
(2019)
Yoonho Boo
,
Jinhwan Park
,
Lukas Lee
,
Wonyong Sung
On-Device End-to-end Speech Recognition with Multi-Step Parallel Rnns.
SLT
(2018)
Jinhwan Park
,
Yoonho Boo
,
Iksoo Choi
,
Sungho Shin
,
Wonyong Sung
Fully Neural Network Based Speech Recognition on Mobile and Embedded Devices.
NeurIPS
(2018)
Jinhwan Park
,
Iksoo Choi
,
Yoonho Boo
,
Wonyong Sung
Hierarchical Recurrent Neural Networks for Acoustic Modeling.
INTERSPEECH
(2018)
Yoonho Boo
,
Wonyong Sung
Structured sparse ternary weight coding of deep neural networks for efficient hardware implementations.
SiPS
(2017)
Sungho Shin
,
Yoonho Boo
,
Wonyong Sung
Fixed-point optimization of deep neural networks with adaptive step size retraining.
CoRR
(2017)
Kyuhong Shim
,
Minjae Lee
,
Iksoo Choi
,
Yoonho Boo
,
Wonyong Sung
SVD-Softmax: Fast Softmax Approximation on Large Vocabulary Neural Networks.
NIPS
(2017)
Sungho Shin
,
Yoonho Boo
,
Wonyong Sung
Fixed-point optimization of deep neural networks with adaptive step size retraining.
ICASSP
(2017)
Yoonho Boo
,
Wonyong Sung
Structured Sparse Ternary Weight Coding of Deep Neural Networks for Efficient Hardware Implementations.
CoRR
(2017)