Integration System for Linguistic Software and Data Set: uLAMP (Unified Linguistic Asset Management Platform). - Jung-Ho Um; Sungho Shin; Sung-Pil Choi; Seungwoo Lee; Hanmin Jung (AMT, 2013)

Analytics on Online Discussion and Commenting Services. - Sungho Shin; Sangkeun Park; Jinseop Shin; Sa-Kwang Song; Sung-Pil Choi; Hanmin Jung (HCI (13), 2013)

K-Base: Platform to Build the Knowledge Base for an Intelligent Service. - Sungho Shin; Jung-Ho Um; Sung-Pil Choi; Hanmin Jung; Shuo Xu 001; Lijun Zhu (MUSIC, 2013)

Creating Semantic Data from Relational Database. - Chang-Hoo Jeong; Sung-Pil Choi; Sungho Shin; Seungwoo Lee; Hanmin Jung; Soon-Young Kim; Pyung Kim (SocialCom, 2013)

Business Event Extraction System Based on SSVM. - Sungho Shin; Young-Min Kim; Choong-Nyoung Seon; Seunggyun Hong; Sa-Kwang Song; Hanmin Jung (JIST (Workshops & Posters), 2014)

Platform to Build the Knowledge Base by Combining Sensor Data and Context Data. - Sungho Shin; Jung-Ho Um; Dongmin Seo; Sung-Pil Choi; Seungwoo Lee; Hanmin Jung; Mun Yong Yi (Int. J. Distributed Sens. Networks, 2014)

Contextual keyword extraction by building sentences with crowdsourcing. - Soon Gill Hong; Sungho Shin; Mun Yong Yi (Multim. Tools Appl., 2014)

Marketing Strategy Support System for Small Businesses. - Min-Hee Cho; Choong-Nyoung Seon; Sungho Shin; Jung-Ho Um; Seungkyun Hong; Sa-Kwang Song; Hyung-Jun Yim (BigDAS, 2015)

A Social Network Service-based Disaster-Detection Technique through Content-based Location Extraction. - Choong-Nyoung Seon; Min-Hee Cho; Sungho Shin; Jung-Ho Um; Seungkyun Hong; Sa-Kwang Song; Hyung-Jun Yim (BigDAS, 2015)

Design of Marketing Scenario Planning Based on Business Big Data Analysis. - Seungkyun Hong; Sungho Shin; Young-Min Kim; Choong-Nyoung Seon; Jung-Ho Um; Sa-Kwang Song (HCI (23), 2015)

Resiliency of Deep Neural Networks under Quantization. - Wonyong Sung; Sungho Shin; Kyuyeon Hwang (CoRR, 2015)

Building a Business Knowledge Base by a Supervised Learning and Rule-Based Method. - Sungho Shin; Hanmin Jung; Mun Yong Yi (KSII Trans. Internet Inf. Syst., 2015)

Finding hidden relevant documents buried in scientific documents by terminological paraphrases. - Sung-Pil Choi; Sungho Shin; Hanmin Jung; Daesung Lee 001 (Multim. Tools Appl., 2015)

Fixed-point performance analysis of recurrent neural networks. - Sungho Shin; Kyuyeon Hwang; Wonyong Sung (ICASSP, 2016)

Dynamic hand gesture recognition for wearable devices with low complexity recurrent neural networks. - Sungho Shin; Wonyong Sung (ISCAS, 2016)

Optimizing HBase table scheme for marketing strategy suggestion. - Seungkyun Hong; Min-Hee Cho; Sungho Shin; Jung-Ho Um; Choong-Nyoung Seon; Sa-Kwang Song (KST, 2016)

FPGA-Based Low-Power Speech Recognition with Recurrent Neural Networks. - Minjae Lee; Kyuyeon Hwang; Jinhwan Park; Sungwook Choi; Sungho Shin; Wonyong Sung (SiPS, 2016)

Generative Transfer Learning between Recurrent Neural Networks. - Sungho Shin; Kyuyeon Hwang; Wonyong Sung (CoRR, 2016)

Quantized neural network design under weight capacity constraint. - Sungho Shin; Kyuyeon Hwang; Wonyong Sung (CoRR, 2016)

Fixed-point optimization of deep neural networks with adaptive step size retraining. - Sungho Shin; Yoonho Boo; Wonyong Sung (ICASSP, 2017)

Fully Neural Network Based Speech Recognition on Mobile and Embedded Devices. - Jinhwan Park; Yoonho Boo; Iksoo Choi; Sungho Shin; Wonyong Sung (NeurIPS, 2018)

A Parallel Decomposition Scheme for Solving Long-Horizon Optimal Control Problems. - Sungho Shin; Timm Faulwasser; Mario Zanon; Victor M. Zavala (CDC, 2019)

Memorization Capacity of Deep Neural Networks under Parameter Quantization. - Yoonho Boo; Sungho Shin; Wonyong Sung (ICASSP, 2019)

Workload-aware Automatic Parallelization for Multi-GPU DNN Training. - Sungho Shin; Youngmin Jo; Jungwook Choi; Swagath Venkataramani; Vijayalakshmi Srinivasan; Wonyong Sung (ICASSP, 2019)

Implementation of Research Data Platform: in the Perspective of Data Transfer. - Sungho Shin; Jin Young Kim; Min-Ho Lee; Young Ho Shin; Min-Ki Kim (ICUFN, 2019)

Empirical Analysis of Knowledge Distillation Technique for Optimization of Quantized Deep Neural Networks. - Sungho Shin; Yoonho Boo; Wonyong Sung (CoRR, 2019)

Scalable nonlinear programming framework for parameter estimation in dynamic biological system models. - Sungho Shin; Ophelia S. Venturelli; Victor M. Zavala (PLoS Comput. Biol., 2019)

A Hierarchical Optimization Architecture for Large-Scale Power Networks. - Sungho Shin; Philip Hart; Thomas Jahns; Victor M. Zavala (IEEE Trans. Control. Netw. Syst., 2019)

HLHLp: Quantized Neural Networks Training for Reaching Flat Minima in Loss Surface. - Sungho Shin; Jinhwan Park; Yoonho Boo; Wonyong Sung (AAAI, 2020)

Overlapping Schwarz Decomposition for Constrained Quadratic Programs. - Sungho Shin; Mihai Anitescu; Victor M. Zavala (CDC, 2020)

Automatic Detection and Identification of Fasteners with Simple Visual Calibration using Synthetic Data. - Sangjun Noh; Seunghyeok Back; Raeyoung Kang; Sungho Shin; Kyoobin Lee (ETFA, 2020)

Quantized Neural Networks: Characterization and Holistic Optimization. - Yoonho Boo; Sungho Shin; Wonyong Sung (SiPS, 2020)

Knowledge Distillation for Optimization of Quantized Deep Neural Networks. - Sungho Shin; Yoonho Boo; Wonyong Sung (SiPS, 2020)

Multiple Classification with Split Learning. - Jongwon Kim; Sungho Shin; Yeonguk Yu; Junseok Lee 003; Kyoobin Lee (SMA, 2020)

Characterizing the Predictive Accuracy of Dynamic Mode Decomposition for Data-Driven Control. - Qiugang Lu; Sungho Shin; Victor M. Zavala (CoRR, 2020)

On the Convergence of the Dynamic Inner PCA Algorithm. - Sungho Shin; Alexander D. Smith 001; Si-Zhao Joe Qin; Victor M. Zavala (CoRR, 2020)

Unifying Theorems for Subspace Identification and Dynamic Mode Decomposition. - Sungho Shin; Qiugang Lu; Victor M. Zavala (CoRR, 2020)

Overlapping Schwarz Decomposition for Nonlinear Optimal Control. - Sen Na; Sungho Shin; Mihai Anitescu; Victor M. Zavala (CoRR, 2020)

S-SGD: Symmetrical Stochastic Gradient Descent with Weight Noise Injection for Reaching Flat Minima. - Wonyong Sung; Iksoo Choi; Jinhwan Park; Seokhyun Choi; Sungho Shin (CoRR, 2020)

Decentralized Schemes With Overlap for Solving Graph-Structured Optimization Problems. - Sungho Shin; Victor M. Zavala; Mihai Anitescu (IEEE Trans. Control. Netw. Syst., 2020)

Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks. - Yoonho Boo; Sungho Shin; Jungwook Choi; Wonyong Sung (AAAI, 2021)

SQWA: Stochastic Quantized Weight Averaging For Improving The Generalization Capability Of Low-Precision Deep Neural Networks. - Sungho Shin; Yoonho Boo; Wonyong Sung (ICASSP, 2021)

Selection of Class-conditional Filters for Semantic Shifted OOD Detection. - Yeonguk Yu; Sungho Shin; Jongwon Kim; Kyoobin Lee (UR, 2021)

Robust Skin Disease Classification by Distilling Deep Neural Network Ensemble for the Mobile Diagnosis of Herpes Zoster. - Seunghyeok Back; Seongju Lee; Sungho Shin; Yeonguk Yu; Taekyeong Yuk; Saepomi Jong; Seungjun Ryu; Kyoobin Lee (IEEE Access, 2021)

Object Detection for Understanding Assembly Instruction Using Context-aware Data Augmentation and Cascade Mask R-CNN. - Joosoon Lee; Seongju Lee; Seunghyeok Back; Sungho Shin; Kyoobin Lee (CoRR, 2021)

Teaching Where to Look: Attention Similarity Knowledge Distillation for Low Resolution Face Recognition. - Sungho Shin; Joosoon Lee; Junseok Lee 003; Yeonguk Yu; Kyoobin Lee (ECCV (12), 2022)

LightTrader : World's first AI-enabled High-Frequency Trading Solution with 16 TFLOPS / 64 TOPS Deep Learning Inference Accelerators. - Hyunsung Kim 003; Sungyeob Yoo; Jaewan Bae; Kyeongryeol Bong; Yoonho Boo; Karim Charfi; Hyo-Eun Kim; Hyun Suk Kim; Jinseok Kim 006; Byungjae Lee; Jaehwan Lee; Myeongbo Shim; et al. (HCS, 2022)

Near-Optimal Performance of Stochastic Predictive Control. - Sungho Shin; Sen Na; Mihai Anitescu (CoRR, 2022)

A graph-based modeling abstraction for optimization: concepts and implementation in Plasmo.jl. - Jordan Jalving; Sungho Shin; Victor M. Zavala (Math. Program. Comput., 2022)

Exponential Decay of Sensitivity in Graph-Structured Nonlinear Programs. - Sungho Shin; Mihai Anitescu; Victor M. Zavala (SIAM J. Optim., 2022)

On the Convergence of Overlapping Schwarz Decomposition for Nonlinear Optimal Control. - Sen Na; Sungho Shin; Mihai Anitescu; Victor M. Zavala (IEEE Trans. Autom. Control., 2022)

Exploiting GPU/SIMD Architectures for Solving Linear-Quadratic MPC Problems*. - David L. Cole; Sungho Shin; François Pacaud; Victor M. Zavala; Mihai Anitescu (ACC, 2023)

Graph-Structured Nonlinear Programming: Properties and Algorithms. - Sungho Shin (ACC, 2023)

Constrained Policy Optimization for Stochastic Optimal Control under Nonstationary Uncertainties*. - Sungho Shin; François Pacaud; Emil Contantinescu; Mihai Anitescu (ACC, 2023)

Block Selection Method for Using Feature Norm in Out-of-Distribution Detection. - Yeonguk Yu; Sungho Shin; Seongju Lee; Changhyun Jun 002; Kyoobin Lee (CVPR, 2023)

Enhancing Low-resolution Face Recognition with Feature Similarity Knowledge Distillation. - Sungho Shin; Yeonguk Yu; Kyoobin Lee (CoRR, 2023)

INSTA-BEEER: Explicit Error Estimation and Refinement for Fast and Accurate Unseen Object Instance Segmentation. - Seunghyeok Back; Sangbeom Lee; Kangmin Kim; Joosoon Lee; Sungho Shin; Jaemo Maeng; Kyoobin Lee (CoRR, 2023)

Accelerating Optimal Power Flow with GPUs: SIMD Abstraction of Nonlinear Programs and Condensed-Space Interior-Point Methods. - Sungho Shin; François Pacaud; Mihai Anitescu (CoRR, 2023)

Probability propagation for faster and efficient point cloud segmentation using a neural network. - Hogeon Seo; Sangjun Noh; Sungho Shin; Kyoobin Lee (Pattern Recognit. Lett., 2023)

Diffusing-Horizon Model Predictive Control. - Sungho Shin; Victor M. Zavala (IEEE Trans. Autom. Control., 2023)

BattleSound: A Game Sound Benchmark for the Sound-Specific Feedback Generation in a Battle Game. - Sungho Shin; Seongju Lee; Changhyun Jun 002; Kyoobin Lee (Sensors, 2023)

Surface Environment and Energy Density Effects on the Detection and Disinfection of Microorganisms Using a Portable Instrument. - Sungho Shin; Brianna Dowden; Iyll-Joon Doh; Bartek Rajwa; Euiwon Bae; J. Paul Robinson (Sensors, 2023)

Bacterial Colony Phenotyping with Hyperspectral Elastic Light Scattering Patterns. - Iyll-Joon Doh; Diana Vanessa Sarria Zuniga; Sungho Shin; Robert E. Pruitt; Bartek Rajwa; J. Paul Robinson; Euiwon Bae (Sensors, 2023)

Near-Optimal Distributed Linear-Quadratic Regulator for Networked Systems. - Sungho Shin; Yiheng Lin 001; Guannan Qu; Adam Wierman; Mihai Anitescu (SIAM J. Control. Optim., 2023)

GPU-accelerated dynamic nonlinear optimization with ExaModels and MadNLP. - François Pacaud; Sungho Shin (CDC, 2024)

Domain-Specific Block Selection and Paired-View Pseudo-Labeling for Online Test-Time Adaptation. - Yeonguk Yu; Sungho Shin; Seunghyeok Back; Minhwan Ko; Sangjun Noh; Kyoobin Lee (CVPR, 2024)

2.4 ATOMUS: A 5nm 32TFLOPS/128TOPS ML System-on-Chip for Latency Critical Applications. - Chang-Hyo Yu; Hyo-Eun Kim; Sungho Shin; Kyeongryeol Bong; Hyunsuk Kim; Yoonho Boo; Jaewan Bae; Minjae Kwon; Karim Charfi; Jinseok Kim 006; Hongyun Kim; Myeongbo Shim; et al. (ISSCC, 2024)

Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise. - Yeonguk Yu; Minhwan Ko; Sungho Shin; Kangmin Kim; Kyoobin Lee (NeurIPS, 2024)

Scalable Multi-Period AC Optimal Power Flow Utilizing GPUs with High Memory Capacities. - Sungho Shin; Vishwas Rao; Michel Schanen; Daniel Adrian Maldonado; Mihai Anitescu (OSMSES, 2024)

Exploring using jigsaw puzzles for out-of-distribution detection. - Yeonguk Yu; Sungho Shin; Minhwan Ko; Kyoobin Lee (Comput. Vis. Image Underst., 2024)

Parallel interior-point solver for block-structured nonlinear programs on SIMD/GPU architectures. - François Pacaud; Michel Schanen; Sungho Shin; Daniel Adrian Maldonado; Mihai Anitescu (Optim. Methods Softw., 2024)

Accelerating Condensed Interior-Point Methods on SIMD/GPU Architectures. - François Pacaud; Sungho Shin; Michel Schanen; Daniel Adrian Maldonado; Mihai Anitescu (J. Optim. Theory Appl., 2024)

Scalable Primal Decomposition Schemes for Large-Scale Infrastructure Networks. - Alexander Engelmann; Sungho Shin; François Pacaud; Victor M. Zavala (IEEE Trans. Control. Netw. Syst., 2025)