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ORCIDSungho Shin
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j20]Yeonguk Yu
, Sungho Shin, Minhwan Ko, Kyoobin Lee:
Exploring using jigsaw puzzles for out-of-distribution detection. Comput. Vis. Image Underst. 241: 103968 (2024)- [j19]François Pacaud, Sungho Shin, Michel Schanen, Daniel Adrian Maldonado, Mihai Anitescu:
Accelerating Condensed Interior-Point Methods on SIMD/GPU Architectures. J. Optim. Theory Appl. 202(1): 184-203 (2024) - [j18]François Pacaud, Michel Schanen, Sungho Shin, Daniel Adrian Maldonado, Mihai Anitescu:
Parallel interior-point solver for block-structured nonlinear programs on SIMD/GPU architectures. Optim. Methods Softw. 39(4): 874-897 (2024) - [c38]François Pacaud, Sungho Shin:
GPU-accelerated dynamic nonlinear optimization with ExaModels and MadNLP. CDC 2024: 5963-5968 - [c37]Yeonguk Yu, Sungho Shin, Seunghyeok Back, Minhwan Ko, Sangjun Noh, Kyoobin Lee:
Domain-Specific Block Selection and Paired-View Pseudo-Labeling for Online Test-Time Adaptation. CVPR 2024: 22723-22732 - [c36]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:
2.4 ATOMUS: A 5nm 32TFLOPS/128TOPS ML System-on-Chip for Latency Critical Applications. ISSCC 2024: 42-44 - [c35]Yeonguk Yu, Minhwan Ko, Sungho Shin, Kangmin Kim, Kyoobin Lee:
Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise. NeurIPS 2024 - [c34]Sungho Shin, Vishwas Rao, Michel Schanen, Daniel Adrian Maldonado, Mihai Anitescu:
Scalable Multi-Period AC Optimal Power Flow Utilizing GPUs with High Memory Capacities. OSMSES 2024: 1-6 - [i29]Yeonguk Yu, Sungho Shin, Seunghyeok Back, Minhwan Ko, Sangjun Noh, Kyoobin Lee:
Domain-Specific Block Selection and Paired-View Pseudo-Labeling for Online Test-Time Adaptation. CoRR abs/2404.10966 (2024) - [i28]Yeonguk Yu, Minhwan Ko, Sungho Shin, Kangmin Kim, Kyoobin Lee:
Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise. CoRR abs/2412.00150 (2024) - 2023
- [j17]Hogeon Seo, Sangjun Noh, Sungho Shin, Kyoobin Lee:
Probability propagation for faster and efficient point cloud segmentation using a neural network. Pattern Recognit. Lett. 170: 24-31 (2023) - [j16]Sungho Shin, Seongju Lee, Changhyun Jun, Kyoobin Lee:
BattleSound: A Game Sound Benchmark for the Sound-Specific Feedback Generation in a Battle Game. Sensors 23(2): 770 (2023) - [j15]Sungho Shin, Brianna Dowden, Iyll-Joon Doh, Bartek Rajwa, Euiwon Bae, J. Paul Robinson:
Surface Environment and Energy Density Effects on the Detection and Disinfection of Microorganisms Using a Portable Instrument. Sensors 23(4): 2135 (2023) - [j14]Iyll-Joon Doh, Diana Vanessa Sarria Zuniga, Sungho Shin, Robert E. Pruitt, Bartek Rajwa, J. Paul Robinson, Euiwon Bae:
Bacterial Colony Phenotyping with Hyperspectral Elastic Light Scattering Patterns. Sensors 23(7): 3485 (2023) - [j13]Sungho Shin, Yiheng Lin, Guannan Qu, Adam Wierman, Mihai Anitescu:
Near-Optimal Distributed Linear-Quadratic Regulator for Networked Systems. SIAM J. Control. Optim. 61(3): 1113-1135 (2023) - [j12]Sungho Shin, Victor M. Zavala:
Diffusing-Horizon Model Predictive Control. IEEE Trans. Autom. Control. 68(1): 188-201 (2023) - [c33]Sungho Shin, François Pacaud, Emil Contantinescu, Mihai Anitescu:
Constrained Policy Optimization for Stochastic Optimal Control under Nonstationary Uncertainties*. ACC 2023: 634-639 - [c32]Sungho Shin:
Graph-Structured Nonlinear Programming: Properties and Algorithms. ACC 2023: 3136 - [c31]David L. Cole, Sungho Shin, François Pacaud, Victor M. Zavala, Mihai Anitescu:
Exploiting GPU/SIMD Architectures for Solving Linear-Quadratic MPC Problems*. ACC 2023: 3995-4000 - [c30]Yeonguk Yu, Sungho Shin, Seongju Lee, Changhyun Jun, Kyoobin Lee:
Block Selection Method for Using Feature Norm in Out-of-Distribution Detection. CVPR 2023: 15701-15711 - [i27]Sungho Shin, Yeonguk Yu, Kyoobin Lee:
Enhancing Low-resolution Face Recognition with Feature Similarity Knowledge Distillation. CoRR abs/2303.04681 (2023) - [i26]Seunghyeok Back, Sangbeom Lee, Kangmin Kim, Joosoon Lee, Sungho Shin, Jaemo Maeng, Kyoobin Lee:
INSTA-BEEER: Explicit Error Estimation and Refinement for Fast and Accurate Unseen Object Instance Segmentation. CoRR abs/2306.16132 (2023) - [i25]Sungho Shin, François Pacaud, Mihai Anitescu:
Accelerating Optimal Power Flow with GPUs: SIMD Abstraction of Nonlinear Programs and Condensed-Space Interior-Point Methods. CoRR abs/2307.16830 (2023) - 2022
- [j11]Jordan Jalving, Sungho Shin, Victor M. Zavala:
A graph-based modeling abstraction for optimization: concepts and implementation in Plasmo.jl. Math. Program. Comput. 14(4): 699-747 (2022) - [j10]Sungho Shin, Mihai Anitescu, Victor M. Zavala:
Exponential Decay of Sensitivity in Graph-Structured Nonlinear Programs. SIAM J. Optim. 32(2): 1156-1183 (2022) - [j9]Sen Na, Sungho Shin, Mihai Anitescu, Victor M. Zavala:
On the Convergence of Overlapping Schwarz Decomposition for Nonlinear Optimal Control. IEEE Trans. Autom. Control. 67(11): 5996-6011 (2022) - [c29]Sungho Shin, Joosoon Lee, Junseok Lee, Yeonguk Yu, Kyoobin Lee:
Teaching Where to Look: Attention Similarity Knowledge Distillation for Low Resolution Face Recognition. ECCV (12) 2022: 631-647 - [c28]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: 1-10 - [i24]Sungho Shin, Yiheng Lin, Guannan Qu, Adam Wierman, Mihai Anitescu:
Near-Optimal Distributed Linear-Quadratic Regulator for Networked Systems. CoRR abs/2204.05551 (2022) - [i23]Sungho Shin, Joosoon Lee, Junseok Lee, Yeonguk Yu, Kyoobin Lee:
Teaching Where to Look: Attention Similarity Knowledge Distillation for Low Resolution Face Recognition. CoRR abs/2209.14498 (2022) - [i22]Sungho Shin, Sen Na, Mihai Anitescu:
Near-Optimal Performance of Stochastic Predictive Control. CoRR abs/2210.08599 (2022) - [i21]Yeonguk Yu, Sungho Shin, Seongju Lee, Changhyun Jun, Kyoobin Lee:
Block Selection Method for Using Feature Norm in Out-of-distribution Detection. CoRR abs/2212.02295 (2022) - [i20]Alexander Engelmann, Sungho Shin, François Pacaud, Victor M. Zavala:
Scalable Primal Decomposition Schemes for Large-Scale Infrastructure Networks. CoRR abs/2212.11571 (2022) - 2021
- [j8]Seunghyeok Back, Seongju Lee, Sungho Shin, Yeonguk Yu, Taekyeong Yuk, Saepomi Jong, Seungjun Ryu, Kyoobin Lee:
Robust Skin Disease Classification by Distilling Deep Neural Network Ensemble for the Mobile Diagnosis of Herpes Zoster. IEEE Access 9: 20156-20169 (2021) - [c27]Yoonho Boo, Sungho Shin, Jungwook Choi, Wonyong Sung:
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks. AAAI 2021: 6794-6802 - [c26]Sungho Shin, Yoonho Boo, Wonyong Sung:
SQWA: Stochastic Quantized Weight Averaging For Improving The Generalization Capability Of Low-Precision Deep Neural Networks. ICASSP 2021: 8052-8056 - [c25]Yeonguk Yu, Sungho Shin, Jongwon Kim, Kyoobin Lee:
Selection of Class-conditional Filters for Semantic Shifted OOD Detection. UR 2021: 43-47 - [i19]Joosoon Lee, Seongju Lee, Seunghyeok Back, Sungho Shin, Kyoobin Lee:
Object Detection for Understanding Assembly Instruction Using Context-aware Data Augmentation and Cascade Mask R-CNN. CoRR abs/2101.02509 (2021) - 2020
- [j7]Sungho Shin, Victor M. Zavala, Mihai Anitescu:
Decentralized Schemes With Overlap for Solving Graph-Structured Optimization Problems. IEEE Trans. Control. Netw. Syst. 7(3): 1225-1236 (2020) - [c24]Sungho Shin, Jinhwan Park, Yoonho Boo, Wonyong Sung:
HLHLp: Quantized Neural Networks Training for Reaching Flat Minima in Loss Surface. AAAI 2020: 5784-5791 - [c23]Sungho Shin, Mihai Anitescu, Victor M. Zavala:
Overlapping Schwarz Decomposition for Constrained Quadratic Programs. CDC 2020: 3004-3009 - [c22]Sangjun Noh, Seunghyeok Back, Raeyoung Kang, Sungho Shin, Kyoobin Lee:
Automatic Detection and Identification of Fasteners with Simple Visual Calibration using Synthetic Data. ETFA 2020: 38-44 - [c21]Yoonho Boo, Sungho Shin, Wonyong Sung:
Quantized Neural Networks: Characterization and Holistic Optimization. SiPS 2020: 1-6 - [c20]Sungho Shin, Yoonho Boo, Wonyong Sung:
Knowledge Distillation for Optimization of Quantized Deep Neural Networks. SiPS 2020: 1-6 - [c19]Jongwon Kim, Sungho Shin, Yeonguk Yu, Junseok Lee, Kyoobin Lee:
Multiple Classification with Split Learning. SMA 2020: 358-363 - [i18]Sungho Shin, Yoonho Boo, Wonyong Sung:
SQWA: Stochastic Quantized Weight Averaging for Improving the Generalization Capability of Low-Precision Deep Neural Networks. CoRR abs/2002.00343 (2020) - [i17]Qiugang Lu, Sungho Shin, Victor M. Zavala:
Characterizing the Predictive Accuracy of Dynamic Mode Decomposition for Data-Driven Control. CoRR abs/2003.01028 (2020) - [i16]Sungho Shin, Alex D. Smith, Si-Zhao Joe Qin, Victor M. Zavala:
On the Convergence of the Dynamic Inner PCA Algorithm. CoRR abs/2003.05928 (2020) - [i15]Sungho Shin, Qiugang Lu, Victor M. Zavala:
Unifying Theorems for Subspace Identification and Dynamic Mode Decomposition. CoRR abs/2003.07410 (2020) - [i14]Sen Na, Sungho Shin, Mihai Anitescu, Victor M. Zavala:
Overlapping Schwarz Decomposition for Nonlinear Optimal Control. CoRR abs/2005.06674 (2020) - [i13]Yoonho Boo, Sungho Shin, Wonyong Sung:
Quantized Neural Networks: Characterization and Holistic Optimization. CoRR abs/2006.00530 (2020) - [i12]Jongwon Kim, Sungho Shin, Yeonguk Yu, Junseok Lee, Kyoobin Lee:
Multiple Classification with Split Learning. CoRR abs/2008.09874 (2020) - [i11]Wonyong Sung, Iksoo Choi, Jinhwan Park, Seokhyun Choi, Sungho Shin:
S-SGD: Symmetrical Stochastic Gradient Descent with Weight Noise Injection for Reaching Flat Minima. CoRR abs/2009.02479 (2020) - [i10]Yoonho Boo, Sungho Shin, Jungwook Choi, Wonyong Sung:
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks. CoRR abs/2009.14502 (2020)
2010 – 2019
- 2019
- [j6]Sungho Shin, Ophelia S. Venturelli, Victor M. Zavala:
Scalable nonlinear programming framework for parameter estimation in dynamic biological system models. PLoS Comput. Biol. 15(3) (2019) - [j5]Sungho Shin, Philip Hart, Thomas Jahns, Victor M. Zavala:
A Hierarchical Optimization Architecture for Large-Scale Power Networks. IEEE Trans. Control. Netw. Syst. 6(3): 1004-1014 (2019) - [c18]Sungho Shin, Timm Faulwasser, Mario Zanon, Victor M. Zavala:
A Parallel Decomposition Scheme for Solving Long-Horizon Optimal Control Problems. CDC 2019: 5264-5271 - [c17]Yoonho Boo, Sungho Shin, Wonyong Sung:
Memorization Capacity of Deep Neural Networks under Parameter Quantization. ICASSP 2019: 1383-1387 - [c16]Sungho Shin, Youngmin Jo, Jungwook Choi, Swagath Venkataramani, Vijayalakshmi Srinivasan, Wonyong Sung:
Workload-aware Automatic Parallelization for Multi-GPU DNN Training. ICASSP 2019: 1453-1457 - [c15]Sungho Shin, Jin Young Kim, Min-Ho Lee, Young Ho Shin, Min-Ki Kim:
Implementation of Research Data Platform: in the Perspective of Data Transfer. ICUFN 2019: 735-737 - [i9]Sungho Shin, Yoonho Boo, Wonyong Sung:
Empirical Analysis of Knowledge Distillation Technique for Optimization of Quantized Deep Neural Networks. CoRR abs/1909.01688 (2019) - 2018
- [c14]Jinhwan Park, Yoonho Boo, Iksoo Choi, Sungho Shin, Wonyong Sung:
Fully Neural Network Based Speech Recognition on Mobile and Embedded Devices. NeurIPS 2018: 10642-10653 - [i8]Sungho Shin, Youngmin Jo, Jungwook Choi, Swagath Venkataramani, Vijayalakshmi Srinivasan, Wonyong Sung:
Workload-aware Automatic Parallelization for Multi-GPU DNN Training. CoRR abs/1811.01532 (2018) - 2017
- [c13]Sungho Shin, Yoonho Boo, Wonyong Sung:
Fixed-point optimization of deep neural networks with adaptive step size retraining. ICASSP 2017: 1203-1207 - [i7]Sungho Shin, Yoonho Boo, Wonyong Sung:
Fixed-point optimization of deep neural networks with adaptive step size retraining. CoRR abs/1702.08171 (2017) - 2016
- [c12]Sungho Shin, Kyuyeon Hwang, Wonyong Sung:
Fixed-point performance analysis of recurrent neural networks. ICASSP 2016: 976-980 - [c11]Sungho Shin, Wonyong Sung:
Dynamic hand gesture recognition for wearable devices with low complexity recurrent neural networks. ISCAS 2016: 2274-2277 - [c10]Seungkyun Hong, Min-Hee Cho, Sungho Shin, Jung-Ho Um, Choong-Nyoung Seon, Sa-Kwang Song:
Optimizing HBase table scheme for marketing strategy suggestion. KST 2016: 313-316 - [c9]Minjae Lee, Kyuyeon Hwang, Jinhwan Park, Sungwook Choi, Sungho Shin, Wonyong Sung:
FPGA-Based Low-Power Speech Recognition with Recurrent Neural Networks. SiPS 2016: 230-235 - [i6]Sungho Shin, Kyuyeon Hwang, Wonyong Sung:
Generative Transfer Learning between Recurrent Neural Networks. CoRR abs/1608.04077 (2016) - [i5]Sungho Shin, Wonyong Sung:
Dynamic Hand Gesture Recognition for Wearable Devices with Low Complexity Recurrent Neural Networks. CoRR abs/1608.04080 (2016) - [i4]Minjae Lee, Kyuyeon Hwang, Jinhwan Park, Sungwook Choi, Sungho Shin, Wonyong Sung:
FPGA-Based Low-Power Speech Recognition with Recurrent Neural Networks. CoRR abs/1610.00552 (2016) - [i3]Sungho Shin, Kyuyeon Hwang, Wonyong Sung:
Quantized neural network design under weight capacity constraint. CoRR abs/1611.06342 (2016) - 2015
- [j4]Sungho Shin, Hanmin Jung, Mun Yong Yi:
Building a Business Knowledge Base by a Supervised Learning and Rule-Based Method. KSII Trans. Internet Inf. Syst. 9(1): 407-420 (2015) - [j3]Sung-Pil Choi, Sungho Shin, Hanmin Jung, Daesung Lee:
Finding hidden relevant documents buried in scientific documents by terminological paraphrases. Multim. Tools Appl. 74(20): 8729-8743 (2015) - [c8]Choong-Nyoung Seon, Min-Hee Cho, Sungho Shin, Jung-Ho Um, Seungkyun Hong, Sa-Kwang Song, Hyung-Jun Yim:
A Social Network Service-based Disaster-Detection Technique through Content-based Location Extraction. BigDAS 2015: 275-276 - [c7]Min-Hee Cho, Choong-Nyoung Seon, Sungho Shin, Jung-Ho Um, Seungkyun Hong, Sa-Kwang Song, Hyung-Jun Yim:
Marketing Strategy Support System for Small Businesses. BigDAS 2015: 294-295 - [c6]Seungkyun Hong, Sungho Shin, Young-Min Kim, Choong-Nyoung Seon, Jung-Ho Um, Sa-Kwang Song:
Design of Marketing Scenario Planning Based on Business Big Data Analysis. HCI (23) 2015: 585-592 - [i2]Wonyong Sung, Sungho Shin, Kyuyeon Hwang:
Resiliency of Deep Neural Networks under Quantization. CoRR abs/1511.06488 (2015) - [i1]Sungho Shin, Kyuyeon Hwang, Wonyong Sung:
Fixed Point Performance Analysis of Recurrent Neural Networks. CoRR abs/1512.01322 (2015) - 2014
- [j2]Sungho Shin, Jung-Ho Um, Dongmin Seo, Sung-Pil Choi, Seungwoo Lee, Hanmin Jung, Mun Yong Yi:
Platform to Build the Knowledge Base by Combining Sensor Data and Context Data. Int. J. Distributed Sens. Networks 10 (2014) - [j1]Soon Gill Hong, Sungho Shin, Mun Yong Yi:
Contextual keyword extraction by building sentences with crowdsourcing. Multim. Tools Appl. 68(2): 401-412 (2014) - [c5]Sungho Shin, Young-Min Kim, Choong-Nyoung Seon, Seunggyun Hong, Sa-Kwang Song, Hanmin Jung:
Business Event Extraction System Based on SSVM. JIST (Workshops & Posters) 2014: 44-49 - 2013
- [c4]Jung-Ho Um, Sungho Shin, Sung-Pil Choi, Seungwoo Lee, Hanmin Jung:
Integration System for Linguistic Software and Data Set: uLAMP (Unified Linguistic Asset Management Platform). AMT 2013: 296-300 - [c3]Sungho Shin, Sangkeun Park, Jinseop Shin, Sa-Kwang Song, Sung-Pil Choi, Hanmin Jung:
Analytics on Online Discussion and Commenting Services. HCI (13) 2013: 250-258 - [c2]Sungho Shin, Jung-Ho Um, Sung-Pil Choi, Hanmin Jung, Shuo Xu, Lijun Zhu:
K-Base: Platform to Build the Knowledge Base for an Intelligent Service. MUSIC 2013: 273-277 - [c1]Chang-Hoo Jeong, Sung-Pil Choi, Sungho Shin, Seungwoo Lee, Hanmin Jung, Soon-Young Kim, Pyung Kim:
Creating Semantic Data from Relational Database. SocialCom 2013: 1081-1086
Coauthor Index
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