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Sungho Shin
Observed names:
Shin Sungho,
Shin, Sungho,
Sung-Ho Shin,
Sungho SHIN
Institutions:
Purdue University West Lafayette,
Gwangju Institute of Science and Technology,
Korea Institute of Science & Technology Information
Observed institutions:
Seoul National University,
Yonsei University,
Hyundai Motor Group (South Korea),
Purdue University West Lafayette,
Gwangju Institute of Science and Technology,
Hyundai Motors (South Korea),
The University of Texas at Austin,
Korea Institute of Science & Technology Information
show all 8
ORCID:
0000-0001-5393-6169
Observed ORCIDs:
0000-0001-5393-6169,
0009-0006-8212-6468
OpenAlex ID:
A5100705459
Resiliency of Deep Neural Networks under Quantization
2015
·
Sung, Wonyong
, Shin, Sungho
, et al.
·
arXiv (Cornell University)
·
182
PDF
Subdermal Flexible Solar Cell Arrays for Powering Medical Electronic Implants
2016
·
Kwangsun Song
, Jung Hyun Han
, et al.
·
Advanced Healthcare Materials
·
154
FPGA-Based Low-Power Speech Recognition with Recurrent Neural Networks
2016
·
Minjae Lee
, Kyuyeon Hwang
, et al.
·
SiPS ... design and implementation - IEEE Workshop on Signal Processing Systems
·
82
Fixed-point performance analysis of recurrent neural networks
2016
·
Sungho Shin
, Kyuyeon Hwang
, et al.
·
IEEE International Conference on Acoustics Speech and Signal Processing
·
72
Robust Skin Disease Classification by Distilling Deep Neural Network Ensemble for the Mobile Diagnosis of Herpes Zoster
2021
·
Seunghyeok Back
, Seongju Lee
, et al.
·
IEEE Access
·
69
PDF
Dynamic hand gesture recognition for wearable devices with low complexity recurrent neural networks
2016
·
Sungho Shin
, Wonyong Sung
·
IEEE International Symposium on Circuits and Systems proceedings
·
59
PDF
Rapid and non-destructive spectroscopic method for classifying beef freshness using a deep spectral network fused with myoglobin information
2021
·
Sungho Shin
, Youngjoo Lee
, et al.
·
Food Chemistry
·
57
PDF
Teaching Where to Look: Attention Similarity Knowledge Distillation for Low Resolution Face Recognition
2022
·
Sungho Shin
, Joosoon Lee
, et al.
·
Lecture notes in computer science
·
52
PDF
Mapping of cutaneous melanoma by femtosecond laser-induced breakdown spectroscopy
2018
·
Youngmin Moon
, Jung Hyun Han
, et al.
·
Journal of Biomedical Optics
·
36
PDF
Fully Neural Network Based Speech Recognition on Mobile and Embedded Devices
2018
·
Jin-Hwan Park
, Yoonho Boo
, et al.
·
neural information processing systems
·
34
High spatial resolution imaging of melanoma tissue by femtosecond laser-induced breakdown spectroscopy
2021
·
Jang-Hee Choi
, Sungho Shin
, et al.
·
Spectrochimica Acta Part B Atomic Spectroscopy
·
33
Fixed-point optimization of deep neural networks with adaptive step size retraining
2017
·
Sungho Shin
, Yoonho Boo
, et al.
·
IEEE International Conference on Acoustics Speech and Signal Processing
·
33
PDF
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks
2021
·
Boo, Yoonho
, Shin, Sungho
, et al.
·
AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI))
·
23
PDF
Knowledge Distillation for Optimization of Quantized Deep Neural Networks
2020
·
Sungho Shin
, Yoonho Boo
, et al.
·
SiPS ... design and implementation - IEEE Workshop on Signal Processing Systems
·
23
PDF
Multiple Classification with Split Learning
2020
·
Jongwon Kim
, Sungho Shin
, et al.
·
International Conference on Smart Media and Applications (SMA)
·
21
PDF
Soft classification scheme with pre-cluster-based regression for identification of same-base alloys using laser-induced breakdown spectroscopy
2020
·
Eden Kim
, Yonghwi Kim
, et al.
·
Chemometrics and Intelligent Laboratory Systems
·
20
Self-Supervised Transfer Learning from Natural Images for Sound Classification
2021
·
Sungho Shin
, Jongwon Kim
, et al.
·
Applied Sciences
·
19
PDF
3D Sensing System for Laser-Induced Breakdown Spectroscopy-Based Metal Scrap Identification
2021
·
Seongyun Park
, Jaepil Lee
, et al.
·
International Journal of Precision Engineering and Manufacturing-Green Technology
·
17
Weighted-averaging-based classification of laser-induced breakdown spectroscopy measurements using most informative spectral lines
2019
·
Ekta SRIVASTAVA
, Hyemin JANG
, et al.
·
Plasma Science and Technology
·
17
PDF
Quantized Neural Networks: Characterization and Holistic Optimization
2020
·
Yoonho Boo
, Sungho Shin
, et al.
·
SiPS ... design and implementation - IEEE Workshop on Signal Processing Systems
·
15
PDF
Adversarial Data Augmentation and Transfer Net for Scrap Metal Identification Using Laser-Induced Breakdown Spectroscopy Measurement of Standard Reference Materials
2023
·
Ekta Srivastava
, Hyebin Kim
, et al.
·
Applied Spectroscopy
·
14
PDF
Improvement in classification accuracy of stainless steel alloys by laser-induced breakdown spectroscopy based on elemental intensity ratio analysis
2020
·
Sungho SHIN
, Youngmin MOON
, et al.
·
Plasma Science and Technology
·
13
Memorization Capacity of Deep Neural Networks under Parameter Quantization
2019
·
Yoonho Boo
, Sungho Shin
, et al.
·
IEEE International Conference on Acoustics Speech and Signal Processing
·
11
Elemental analysis of tissue pellets for the differentiation of epidermal lesion and normal skin by laser-induced breakdown spectroscopy
2016
·
Youngmin Moon
, Jung Hyun Han
, et al.
·
Biomedical Optics Express
·
11
Bacterial Colony Phenotyping with Hyperspectral Elastic Light Scattering Patterns
2023
·
Iyll-Joon Doh
, Diana Vanessa Sarria Zuniga
, et al.
·
Sensors
·
8
PDF
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Works count:
62
Citation count:
1,176
H-index:
17
I10-index:
24
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