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Seungmin Shin
ORCID
Publication Activity (10 Years)
Years Active: 2020-2023
Publications (10 Years): 8
Top Topics
Bayes Rule
Loss Minimization
Prediction Model
Welding Process
Top Venues
ICASSP
IEEE Access
INTERSPEECH
IEICE Electron. Express
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Publications
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Joon Byun
,
Seungmin Shin
,
Youngcheol Park
,
Jongmo Sung
,
Seungkwon Beack
A Perceptual Neural Audio Coder with a Mean-Scale Hyperprior.
ICASSP
(2023)
Hyojun Choi
,
Seungmin Shin
,
Dong-Yoon Kim
,
Jiyong Park
,
Dongcheol Kim
,
Seung Hwan Lee
,
Jiyoung Yu
Investigation on Quality Prediction Algorithm in Ultrasonic Metal Welding for Multilayered Cu for Battery Cells.
IEEE Access
11 (2023)
Sanghyun Nam
,
Seungmin Shin
,
Eunji Lee
Hexa-SSD: Overcoming capacitance constraints in SSDs.
IEICE Electron. Express
19 (21) (2022)
Seungmin Shin
,
Joon Byun
,
Youngcheol Park
,
Jongmo Sung
,
Seungkwon Beack
Deep Neural Network (DNN) Audio Coder Using A Perceptually Improved Training Method.
ICASSP
(2022)
Omkar Desai
,
Seungmin Shin
,
Eunji Lee
,
Bryan S. Kim
A principled approach for selecting block I/O traces.
HotStorage
(2022)
Joon Byun
,
Seungmin Shin
,
Jongmo Sung
,
Seungkwon Beack
,
Youngcheol Park
Optimization of Deep Neural Network (DNN) Speech Coder Using a Multi Time Scale Perceptual Loss Function.
INTERSPEECH
(2022)
Joon Byun
,
Seungmin Shin
,
Youngcheol Park
,
Jongmo Sung
,
Seungkwon Beack
Development of a Psychoacoustic Loss Function for the Deep Neural Network (DNN)-Based Speech Coder.
Interspeech
(2021)
Chengnan Jin
,
Seungmin Shin
,
Jiyoung Yu
,
Sehun Rhee
Prediction Model for Back-Bead Monitoring During Gas Metal Arc Welding Using Supervised Deep Learning.
IEEE Access
8 (2020)