Sungho Shin

95 papers A* 7C 5Misc 5Journal 56Unranked 22
YearRankTypeTitle / Venue / Authors
2026 J jnl
Approximate Dynamic Programming for Degradation-aware Market Participation of Battery Energy Storage Systems: Bridging Market and Degradation Timescales.
CoRR
Flemming Holtorf, Sungho Shin
2026 J jnl
CD-FKD: Cross-Domain Feature Knowledge Distillation for Robust Single-Domain Generalization in Object Detection.
CoRR
Junseok Lee, Sungho Shin, Seongju Lee, Kyoobin Lee
2025 J jnl
ExaModelsPower.jl: A GPU-Compatible Modeling Library for Nonlinear Power System Optimization.
CoRR
Sanjay Johnson, Dirk Lauinger, Sungho Shin, François Pacaud
2025 J jnl
Harnessing Batched BLAS/LAPACK Kernels on GPUs for Parallel Solutions of Block Tridiagonal Systems.
CoRR
David Jin, Alexis Montoison, Sungho Shin
2025 A* conf
High-Quality Unknown Object Instance Segmentation via Quadruple Boundary Error Refinement.
ICRA
Seunghyeok Back, Sangbeom Lee, Kangmin Kim, Joosoon Lee, Sungho Shin, Jemo Maeng, Kyoobin Lee
2025 J jnl
Optimization-Free Fast Optimal Control: Bang-Ride Property, Monotonicity, and Applications to Fast Battery Charging.
CoRR
Shengling Shi, Jacob Sass, Jiaen Wu, Minsu Kim, Yingjie Ma, Sungho Shin, Richard D. Braatz
2025 J jnl
Scalable Primal Decomposition Schemes for Large-Scale Infrastructure Networks.
IEEE Trans. Control. Netw. Syst.
Alexander Engelmann, Sungho Shin, François Pacaud, Victor M. Zavala
2025 J jnl
The value of storage in electricity distribution: The role of markets.
CoRR
Dirk Lauinger, Deepjyoti Deka, Sungho Shin
2024 — conf
2.4 ATOMUS: A 5nm 32TFLOPS/128TOPS ML System-on-Chip for Latency Critical Applications.
ISSCC
Chang-Hyo Yu, Hyo-Eun Kim, Sungho Shin, Kyeongryeol Bong, Hyunsuk Kim, Yoonho Boo, Jaewan Bae, Minjae Kwon, Karim Charfi, Jinseok Kim, Hongyun Kim, Myeongbo Shim, Changsoo Ha, Wongyu Shin, Jae-Sung Yoon, Miock Chi, Byungjae Lee, Sungpill Choi, Donghan Kim, Jeongseok Woo, Seokju Yoon, Hyunje Jo, Hyunho Kim, Hyun-Seok Heo, Young-Jae Jin, Jiun Yu, Jaehwan Lee, Hyunsung Kim, Minhoo Kang, Seokhyeon Choi, Seung-Goo Kim, Myung-Hoon Choi, Jungju Oh, Yunseong Kim, Haejoon Kim, Sangeun Je, Junhee Ham, Juyeong Yoon, Jaedon Lee, Seonhyeok Park, Youngseob Park, Jaebong Lee, Boeui Hong, Jaehun Ryu, Hyunseok Ko, Kwanghyun Chung, Jongho Choi, Sunwook Jung, Yashael Faith Arthanto, Jonghyeon Kim, Heejin Cho, Hyebin Jeong, Sungmin Choi, Sujin Han, Junkyu Park, Kwangbae Lee, Sung-il Bae, Jaeho Bang, Kyeong-Jae Lee, Yeongsang Jang, Jungchul Park, Sanggyu Park, Jueon Park, Hyein Shin, Sunghyun Park, Jinwook Oh
2024 J jnl
Accelerating Condensed Interior-Point Methods on SIMD/GPU Architectures.
J. Optim. Theory Appl.
François Pacaud, Sungho Shin, Michel Schanen, Daniel Adrian Maldonado, Mihai Anitescu
2024 A* conf
Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise.
NeurIPS
Yeonguk Yu, Minhwan Ko, Sungho Shin, Kangmin Kim, Kyoobin Lee
2024 J jnl
Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise.
CoRR
Yeonguk Yu, Minhwan Ko, Sungho Shin, Kangmin Kim, Kyoobin Lee
2024 A* conf
Domain-Specific Block Selection and Paired-View Pseudo-Labeling for Online Test-Time Adaptation.
CVPR
Yeonguk Yu, Sungho Shin, Seunghyeok Back, Minhwan Ko, Sangjun Noh, Kyoobin Lee
2024 J jnl
Domain-Specific Block Selection and Paired-View Pseudo-Labeling for Online Test-Time Adaptation.
CoRR
Yeonguk Yu, Sungho Shin, Seunghyeok Back, Minhwan Ko, Sangjun Noh, Kyoobin Lee
2024 J jnl
Exploring using jigsaw puzzles for out-of-distribution detection.
Comput. Vis. Image Underst.
Yeonguk Yu, Sungho Shin, Minhwan Ko, Kyoobin Lee
2024 — conf
GPU-accelerated dynamic nonlinear optimization with ExaModels and MadNLP.
CDC
François Pacaud, Sungho Shin
2024 J jnl
Parallel interior-point solver for block-structured nonlinear programs on SIMD/GPU architectures.
Optim. Methods Softw.
François Pacaud, Michel Schanen, Sungho Shin, Daniel Adrian Maldonado, Mihai Anitescu
2024 — conf
Scalable Multi-Period AC Optimal Power Flow Utilizing GPUs with High Memory Capacities.
OSMSES
Sungho Shin, Vishwas Rao, Michel Schanen, Daniel Adrian Maldonado, Mihai Anitescu
2023 J jnl
Accelerating Optimal Power Flow with GPUs: SIMD Abstraction of Nonlinear Programs and Condensed-Space Interior-Point Methods.
CoRR
Sungho Shin, François Pacaud, Mihai Anitescu
2023 J jnl
Bacterial Colony Phenotyping with Hyperspectral Elastic Light Scattering Patterns.
Sensors
Iyll-Joon Doh, Diana Vanessa Sarria Zuniga, Sungho Shin, Robert E. Pruitt, Bartek Rajwa, J. Paul Robinson, Euiwon Bae
2023 J jnl
BattleSound: A Game Sound Benchmark for the Sound-Specific Feedback Generation in a Battle Game.
Sensors
Sungho Shin, Seongju Lee, Changhyun Jun, Kyoobin Lee
2023 A* conf
Block Selection Method for Using Feature Norm in Out-of-Distribution Detection.
CVPR
Yeonguk Yu, Sungho Shin, Seongju Lee, Changhyun Jun, Kyoobin Lee
2023 C conf
Constrained Policy Optimization for Stochastic Optimal Control under Nonstationary Uncertainties
ACC
Sungho Shin, François Pacaud, Emil Contantinescu, Mihai Anitescu
2023 J jnl
Diffusing-Horizon Model Predictive Control.
IEEE Trans. Autom. Control.
Sungho Shin, Victor M. Zavala
2023 J jnl
Enhancing Low-resolution Face Recognition with Feature Similarity Knowledge Distillation.
CoRR
Sungho Shin, Yeonguk Yu, Kyoobin Lee
2023 C conf
Exploiting GPU/SIMD Architectures for Solving Linear-Quadratic MPC Problems
ACC
David L. Cole, Sungho Shin, François Pacaud, Victor M. Zavala, Mihai Anitescu
2023 C conf
Graph-Structured Nonlinear Programming: Properties and Algorithms.
ACC
Sungho Shin
2023 J jnl
INSTA-BEEER: Explicit Error Estimation and Refinement for Fast and Accurate Unseen Object Instance Segmentation.
CoRR
Seunghyeok Back, Sangbeom Lee, Kangmin Kim, Joosoon Lee, Sungho Shin, Jaemo Maeng, Kyoobin Lee
2023 J jnl
Near-Optimal Distributed Linear-Quadratic Regulator for Networked Systems.
SIAM J. Control. Optim.
Sungho Shin, Yiheng Lin, Guannan Qu, Adam Wierman, Mihai Anitescu
2023 J jnl
Probability propagation for faster and efficient point cloud segmentation using a neural network.
Pattern Recognit. Lett.
Hogeon Seo, Sangjun Noh, Sungho Shin, Kyoobin Lee
2023 J jnl
Surface Environment and Energy Density Effects on the Detection and Disinfection of Microorganisms Using a Portable Instrument.
Sensors
Sungho Shin, Brianna Dowden, Iyll-Joon Doh, Bartek Rajwa, Euiwon Bae, J. Paul Robinson
2022 J jnl
A graph-based modeling abstraction for optimization: concepts and implementation in Plasmo.jl.
Math. Program. Comput.
Jordan Jalving, Sungho Shin, Victor M. Zavala
2022 J jnl
Block Selection Method for Using Feature Norm in Out-of-distribution Detection.
CoRR
Yeonguk Yu, Sungho Shin, Seongju Lee, Changhyun Jun, Kyoobin Lee
2022 J jnl
Exponential Decay of Sensitivity in Graph-Structured Nonlinear Programs.
SIAM J. Optim.
Sungho Shin, Mihai Anitescu, Victor M. Zavala
2022 — conf
LightTrader : World's first AI-enabled High-Frequency Trading Solution with 16 TFLOPS / 64 TOPS Deep Learning Inference Accelerators.
HCS
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
2022 J jnl
Near-Optimal Distributed Linear-Quadratic Regulator for Networked Systems.
CoRR
Sungho Shin, Yiheng Lin, Guannan Qu, Adam Wierman, Mihai Anitescu
2022 J jnl
Near-Optimal Performance of Stochastic Predictive Control.
CoRR
Sungho Shin, Sen Na, Mihai Anitescu
2022 J jnl
On the Convergence of Overlapping Schwarz Decomposition for Nonlinear Optimal Control.
IEEE Trans. Autom. Control.
Sen Na, Sungho Shin, Mihai Anitescu, Victor M. Zavala
2022 J jnl
Scalable Primal Decomposition Schemes for Large-Scale Infrastructure Networks.
CoRR
Alexander Engelmann, Sungho Shin, François Pacaud, Victor M. Zavala
2022 — conf
Teaching Where to Look: Attention Similarity Knowledge Distillation for Low Resolution Face Recognition.
ECCV (12)
Sungho Shin, Joosoon Lee, Junseok Lee, Yeonguk Yu, Kyoobin Lee
2022 J jnl
Teaching Where to Look: Attention Similarity Knowledge Distillation for Low Resolution Face Recognition.
CoRR
Sungho Shin, Joosoon Lee, Junseok Lee, Yeonguk Yu, Kyoobin Lee
2021 J jnl
Object Detection for Understanding Assembly Instruction Using Context-aware Data Augmentation and Cascade Mask R-CNN.
CoRR
Joosoon Lee, Seongju Lee, Seunghyeok Back, Sungho Shin, Kyoobin Lee
2021 J jnl
Robust Skin Disease Classification by Distilling Deep Neural Network Ensemble for the Mobile Diagnosis of Herpes Zoster.
IEEE Access
Seunghyeok Back, Seongju Lee, Sungho Shin, Yeonguk Yu, Taekyeong Yuk, Saepomi Jong, Seungjun Ryu, Kyoobin Lee
2021 Misc conf
SQWA: Stochastic Quantized Weight Averaging For Improving The Generalization Capability Of Low-Precision Deep Neural Networks.
ICASSP
Sungho Shin, Yoonho Boo, Wonyong Sung
2021 — conf
Selection of Class-conditional Filters for Semantic Shifted OOD Detection.
UR
Yeonguk Yu, Sungho Shin, Jongwon Kim, Kyoobin Lee
2021 A* conf
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks.
AAAI
Yoonho Boo, Sungho Shin, Jungwook Choi, Wonyong Sung
2020 C conf
Automatic Detection and Identification of Fasteners with Simple Visual Calibration using Synthetic Data.
ETFA
Sangjun Noh, Seunghyeok Back, Raeyoung Kang, Sungho Shin, Kyoobin Lee
2020 J jnl
Characterizing the Predictive Accuracy of Dynamic Mode Decomposition for Data-Driven Control.
CoRR
Qiugang Lu, Sungho Shin, Victor M. Zavala
2020 J jnl
Decentralized Schemes With Overlap for Solving Graph-Structured Optimization Problems.
IEEE Trans. Control. Netw. Syst.
Sungho Shin, Victor M. Zavala, Mihai Anitescu
2020 A* conf
HLHLp: Quantized Neural Networks Training for Reaching Flat Minima in Loss Surface.
AAAI
Sungho Shin, Jinhwan Park, Yoonho Boo, Wonyong Sung
2020 — conf
Knowledge Distillation for Optimization of Quantized Deep Neural Networks.
SiPS
Sungho Shin, Yoonho Boo, Wonyong Sung
2020 — conf
Multiple Classification with Split Learning.
SMA
Jongwon Kim, Sungho Shin, Yeonguk Yu, Junseok Lee, Kyoobin Lee
2020 J jnl
Multiple Classification with Split Learning.
CoRR
Jongwon Kim, Sungho Shin, Yeonguk Yu, Junseok Lee, Kyoobin Lee
2020 J jnl
On the Convergence of the Dynamic Inner PCA Algorithm.
CoRR
Sungho Shin, Alexander D. Smith, Si-Zhao Joe Qin, Victor M. Zavala
2020 — conf
Overlapping Schwarz Decomposition for Constrained Quadratic Programs.
CDC
Sungho Shin, Mihai Anitescu, Victor M. Zavala
2020 J jnl
Overlapping Schwarz Decomposition for Nonlinear Optimal Control.
CoRR
Sen Na, Sungho Shin, Mihai Anitescu, Victor M. Zavala
2020 — conf
Quantized Neural Networks: Characterization and Holistic Optimization.
SiPS
Yoonho Boo, Sungho Shin, Wonyong Sung
2020 J jnl
Quantized Neural Networks: Characterization and Holistic Optimization.
CoRR
Yoonho Boo, Sungho Shin, Wonyong Sung
2020 J jnl
S-SGD: Symmetrical Stochastic Gradient Descent with Weight Noise Injection for Reaching Flat Minima.
CoRR
Wonyong Sung, Iksoo Choi, Jinhwan Park, Seokhyun Choi, Sungho Shin
2020 J jnl
SQWA: Stochastic Quantized Weight Averaging for Improving the Generalization Capability of Low-Precision Deep Neural Networks.
CoRR
Sungho Shin, Yoonho Boo, Wonyong Sung
2020 J jnl
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks.
CoRR
Yoonho Boo, Sungho Shin, Jungwook Choi, Wonyong Sung
2020 J jnl
Unifying Theorems for Subspace Identification and Dynamic Mode Decomposition.
CoRR
Sungho Shin, Qiugang Lu, Victor M. Zavala
2019 J jnl
A Hierarchical Optimization Architecture for Large-Scale Power Networks.
IEEE Trans. Control. Netw. Syst.
Sungho Shin, Philip Hart, Thomas Jahns, Victor M. Zavala
2019 — conf
A Parallel Decomposition Scheme for Solving Long-Horizon Optimal Control Problems.
CDC
Sungho Shin, Timm Faulwasser, Mario Zanon, Victor M. Zavala
2019 J jnl
Empirical Analysis of Knowledge Distillation Technique for Optimization of Quantized Deep Neural Networks.
CoRR
Sungho Shin, Yoonho Boo, Wonyong Sung
2019 — conf
Implementation of Research Data Platform: in the Perspective of Data Transfer.
ICUFN
Sungho Shin, Jin Young Kim, Min-Ho Lee, Young Ho Shin, Min-Ki Kim
2019 Misc conf
Memorization Capacity of Deep Neural Networks under Parameter Quantization.
ICASSP
Yoonho Boo, Sungho Shin, Wonyong Sung
2019 J jnl
Scalable nonlinear programming framework for parameter estimation in dynamic biological system models.
PLoS Comput. Biol.
Sungho Shin, Ophelia S. Venturelli, Victor M. Zavala
2019 Misc conf
Workload-aware Automatic Parallelization for Multi-GPU DNN Training.
ICASSP
Sungho Shin, Youngmin Jo, Jungwook Choi, Swagath Venkataramani, Vijayalakshmi Srinivasan, Wonyong Sung
2018 A* conf
Fully Neural Network Based Speech Recognition on Mobile and Embedded Devices.
NeurIPS
Jinhwan Park, Yoonho Boo, Iksoo Choi, Sungho Shin, Wonyong Sung
2018 J jnl
Workload-aware Automatic Parallelization for Multi-GPU DNN Training.
CoRR
Sungho Shin, Youngmin Jo, Jungwook Choi, Swagath Venkataramani, Vijayalakshmi Srinivasan, Wonyong Sung
2017 Misc conf
Fixed-point optimization of deep neural networks with adaptive step size retraining.
ICASSP
Sungho Shin, Yoonho Boo, Wonyong Sung
2017 J jnl
Fixed-point optimization of deep neural networks with adaptive step size retraining.
CoRR
Sungho Shin, Yoonho Boo, Wonyong Sung
2016 J jnl
Dynamic Hand Gesture Recognition for Wearable Devices with Low Complexity Recurrent Neural Networks.
CoRR
Sungho Shin, Wonyong Sung
2016 C conf
Dynamic hand gesture recognition for wearable devices with low complexity recurrent neural networks.
ISCAS
Sungho Shin, Wonyong Sung
2016 — conf
FPGA-Based Low-Power Speech Recognition with Recurrent Neural Networks.
SiPS
Minjae Lee, Kyuyeon Hwang, Jinhwan Park, Sungwook Choi, Sungho Shin, Wonyong Sung
2016 J jnl
FPGA-Based Low-Power Speech Recognition with Recurrent Neural Networks.
CoRR
Minjae Lee, Kyuyeon Hwang, Jinhwan Park, Sungwook Choi, Sungho Shin, Wonyong Sung
2016 Misc conf
Fixed-point performance analysis of recurrent neural networks.
ICASSP
Sungho Shin, Kyuyeon Hwang, Wonyong Sung
2016 J jnl
Generative Transfer Learning between Recurrent Neural Networks.
CoRR
Sungho Shin, Kyuyeon Hwang, Wonyong Sung
2016 — conf
Optimizing HBase table scheme for marketing strategy suggestion.
KST
Seungkyun Hong, Min-Hee Cho, Sungho Shin, Jung-Ho Um, Choong-Nyoung Seon, Sa-Kwang Song
2016 J jnl
Quantized neural network design under weight capacity constraint.
CoRR
Sungho Shin, Kyuyeon Hwang, Wonyong Sung
2015 — conf
A Social Network Service-based Disaster-Detection Technique through Content-based Location Extraction.
BigDAS
Choong-Nyoung Seon, Min-Hee Cho, Sungho Shin, Jung-Ho Um, Seungkyun Hong, Sa-Kwang Song, Hyung-Jun Yim
2015 J jnl
Building a Business Knowledge Base by a Supervised Learning and Rule-Based Method.
KSII Trans. Internet Inf. Syst.
Sungho Shin, Hanmin Jung, Mun Yong Yi
2015 — conf
Design of Marketing Scenario Planning Based on Business Big Data Analysis.
HCI (23)
Seungkyun Hong, Sungho Shin, Young-Min Kim, Choong-Nyoung Seon, Jung-Ho Um, Sa-Kwang Song
2015 J jnl
Finding hidden relevant documents buried in scientific documents by terminological paraphrases.
Multim. Tools Appl.
Sung-Pil Choi, Sungho Shin, Hanmin Jung, Daesung Lee
2015 J jnl
Fixed Point Performance Analysis of Recurrent Neural Networks.
CoRR
Sungho Shin, Kyuyeon Hwang, Wonyong Sung
2015 — conf
Marketing Strategy Support System for Small Businesses.
BigDAS
Min-Hee Cho, Choong-Nyoung Seon, Sungho Shin, Jung-Ho Um, Seungkyun Hong, Sa-Kwang Song, Hyung-Jun Yim
2015 J jnl
Resiliency of Deep Neural Networks under Quantization.
CoRR
Wonyong Sung, Sungho Shin, Kyuyeon Hwang
2014 — conf
Business Event Extraction System Based on SSVM.
JIST (Workshops & Posters)
Sungho Shin, Young-Min Kim, Choong-Nyoung Seon, Seunggyun Hong, Sa-Kwang Song, Hanmin Jung
2014 J jnl
Contextual keyword extraction by building sentences with crowdsourcing.
Multim. Tools Appl.
Soon Gill Hong, Sungho Shin, Mun Yong Yi
2014 J jnl
Platform to Build the Knowledge Base by Combining Sensor Data and Context Data.
Int. J. Distributed Sens. Networks
Sungho Shin, Jung-Ho Um, Dongmin Seo, Sung-Pil Choi, Seungwoo Lee, Hanmin Jung, Mun Yong Yi
2013 — conf
Analytics on Online Discussion and Commenting Services.
HCI (13)
Sungho Shin, Sangkeun Park, JinSeop Shin, Sa-Kwang Song, Sung-Pil Choi, Hanmin Jung
2013 — conf
Creating Semantic Data from Relational Database.
SocialCom
Chang-Hoo Jeong, Sung-Pil Choi, Sungho Shin, Seungwoo Lee, Hanmin Jung, Soon-Young Kim, Pyung Kim
2013 — conf
Integration System for Linguistic Software and Data Set: uLAMP (Unified Linguistic Asset Management Platform).
AMT
Jung-Ho Um, Sungho Shin, Sung-Pil Choi, Seungwoo Lee, Hanmin Jung
2013 — conf
K-Base: Platform to Build the Knowledge Base for an Intelligent Service.
MUSIC
Sungho Shin, Jung-Ho Um, Sung-Pil Choi, Hanmin Jung, Shuo Xu, Lijun Zhu