Sungho Shin

Orcid: 0000-0001-5393-6169

According to our database1, Sungho Shin authored at least 70 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Accelerating Condensed Interior-Point Methods on SIMD/GPU Architectures.
J. Optim. Theory Appl., July, 2024

Exploring using jigsaw puzzles for out-of-distribution detection.
Comput. Vis. Image Underst., 2024

Scalable Multi-Period AC Optimal Power Flow Utilizing GPUs with High Memory Capacities.
Proceedings of the Open Source Modelling and Simulation of Energy Systems, 2024


Domain-Specific Block Selection and Paired-View Pseudo-Labeling for Online Test-Time Adaptation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Near-Optimal Distributed Linear-Quadratic Regulator for Networked Systems.
SIAM J. Control. Optim., June, 2023

Bacterial Colony Phenotyping with Hyperspectral Elastic Light Scattering Patterns.
Sensors, April, 2023

Surface Environment and Energy Density Effects on the Detection and Disinfection of Microorganisms Using a Portable Instrument.
Sensors, February, 2023

BattleSound: A Game Sound Benchmark for the Sound-Specific Feedback Generation in a Battle Game.
Sensors, January, 2023

Diffusing-Horizon Model Predictive Control.
IEEE Trans. Autom. Control., 2023

Probability propagation for faster and efficient point cloud segmentation using a neural network.
Pattern Recognit. Lett., 2023

Accelerating Optimal Power Flow with GPUs: SIMD Abstraction of Nonlinear Programs and Condensed-Space Interior-Point Methods.
CoRR, 2023

INSTA-BEEER: Explicit Error Estimation and Refinement for Fast and Accurate Unseen Object Instance Segmentation.
CoRR, 2023

Enhancing Low-resolution Face Recognition with Feature Similarity Knowledge Distillation.
CoRR, 2023

Block Selection Method for Using Feature Norm in Out-of-Distribution Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Constrained Policy Optimization for Stochastic Optimal Control under Nonstationary Uncertainties<sup>*</sup>.
Proceedings of the American Control Conference, 2023

Graph-Structured Nonlinear Programming: Properties and Algorithms.
Proceedings of the American Control Conference, 2023

Exploiting GPU/SIMD Architectures for Solving Linear-Quadratic MPC Problems<sup>*</sup>.
Proceedings of the American Control Conference, 2023

2022
On the Convergence of Overlapping Schwarz Decomposition for Nonlinear Optimal Control.
IEEE Trans. Autom. Control., 2022

Exponential Decay of Sensitivity in Graph-Structured Nonlinear Programs.
SIAM J. Optim., 2022

A graph-based modeling abstraction for optimization: concepts and implementation in Plasmo.jl.
Math. Program. Comput., 2022

Scalable Primal Decomposition Schemes for Large-Scale Infrastructure Networks.
CoRR, 2022

Near-Optimal Performance of Stochastic Predictive Control.
CoRR, 2022

LightTrader : World's first AI-enabled High-Frequency Trading Solution with 16 TFLOPS / 64 TOPS Deep Learning Inference Accelerators.
Proceedings of the 2022 IEEE Hot Chips 34 Symposium, 2022

Teaching Where to Look: Attention Similarity Knowledge Distillation for Low Resolution Face Recognition.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Object Detection for Understanding Assembly Instruction Using Context-aware Data Augmentation and Cascade Mask R-CNN.
CoRR, 2021

Robust Skin Disease Classification by Distilling Deep Neural Network Ensemble for the Mobile Diagnosis of Herpes Zoster.
IEEE Access, 2021

Selection of Class-conditional Filters for Semantic Shifted OOD Detection.
Proceedings of the 18th International Conference on Ubiquitous Robots, 2021

SQWA: Stochastic Quantized Weight Averaging For Improving The Generalization Capability Of Low-Precision Deep Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2021

Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Decentralized Schemes With Overlap for Solving Graph-Structured Optimization Problems.
IEEE Trans. Control. Netw. Syst., 2020

S-SGD: Symmetrical Stochastic Gradient Descent with Weight Noise Injection for Reaching Flat Minima.
CoRR, 2020

Overlapping Schwarz Decomposition for Nonlinear Optimal Control.
CoRR, 2020

Unifying Theorems for Subspace Identification and Dynamic Mode Decomposition.
CoRR, 2020

On the Convergence of the Dynamic Inner PCA Algorithm.
CoRR, 2020

Characterizing the Predictive Accuracy of Dynamic Mode Decomposition for Data-Driven Control.
CoRR, 2020

Multiple Classification with Split Learning.
Proceedings of the SMA 2020: The 9th International Conference on Smart Media and Applications, Jeju, Republic of Korea, September 17, 2020

Knowledge Distillation for Optimization of Quantized Deep Neural Networks.
Proceedings of the IEEE Workshop on Signal Processing Systems, 2020

Quantized Neural Networks: Characterization and Holistic Optimization.
Proceedings of the IEEE Workshop on Signal Processing Systems, 2020

Automatic Detection and Identification of Fasteners with Simple Visual Calibration using Synthetic Data.
Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, 2020

Overlapping Schwarz Decomposition for Constrained Quadratic Programs.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

HLHLp: Quantized Neural Networks Training for Reaching Flat Minima in Loss Surface.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A Hierarchical Optimization Architecture for Large-Scale Power Networks.
IEEE Trans. Control. Netw. Syst., 2019

Scalable nonlinear programming framework for parameter estimation in dynamic biological system models.
PLoS Comput. Biol., 2019

Empirical Analysis of Knowledge Distillation Technique for Optimization of Quantized Deep Neural Networks.
CoRR, 2019

Implementation of Research Data Platform: in the Perspective of Data Transfer.
Proceedings of the Eleventh International Conference on Ubiquitous and Future Networks, 2019

Workload-aware Automatic Parallelization for Multi-GPU DNN Training.
Proceedings of the IEEE International Conference on Acoustics, 2019

Memorization Capacity of Deep Neural Networks under Parameter Quantization.
Proceedings of the IEEE International Conference on Acoustics, 2019

A Parallel Decomposition Scheme for Solving Long-Horizon Optimal Control Problems.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Fully Neural Network Based Speech Recognition on Mobile and Embedded Devices.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Fixed-point optimization of deep neural networks with adaptive step size retraining.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Quantized neural network design under weight capacity constraint.
CoRR, 2016

Generative Transfer Learning between Recurrent Neural Networks.
CoRR, 2016

FPGA-Based Low-Power Speech Recognition with Recurrent Neural Networks.
Proceedings of the 2016 IEEE International Workshop on Signal Processing Systems, 2016

Optimizing HBase table scheme for marketing strategy suggestion.
Proceedings of the 8th International Conference on Knowledge and Smart Technology, 2016

Dynamic hand gesture recognition for wearable devices with low complexity recurrent neural networks.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

Fixed-point performance analysis of recurrent neural networks.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Finding hidden relevant documents buried in scientific documents by terminological paraphrases.
Multim. Tools Appl., 2015

Building a Business Knowledge Base by a Supervised Learning and Rule-Based Method.
KSII Trans. Internet Inf. Syst., 2015

Resiliency of Deep Neural Networks under Quantization.
CoRR, 2015

Design of Marketing Scenario Planning Based on Business Big Data Analysis.
Proceedings of the HCI in Business - Second International Conference, 2015

A Social Network Service-based Disaster-Detection Technique through Content-based Location Extraction.
Proceedings of the 2015 International Conference on Big Data Applications and Services, 2015

Marketing Strategy Support System for Small Businesses.
Proceedings of the 2015 International Conference on Big Data Applications and Services, 2015

2014
Contextual keyword extraction by building sentences with crowdsourcing.
Multim. Tools Appl., 2014

Platform to Build the Knowledge Base by Combining Sensor Data and Context Data.
Int. J. Distributed Sens. Networks, 2014

Business Event Extraction System Based on SSVM.
Proceedings of the Workshop and Poster Proceedings of the 4th Joint International Semantic Technology Conference, 2014

2013
Creating Semantic Data from Relational Database.
Proceedings of the International Conference on Social Computing, SocialCom 2013, 2013

K-Base: Platform to Build the Knowledge Base for an Intelligent Service.
Proceedings of the Mobile, Ubiquitous, and Intelligent Computing, 2013

Analytics on Online Discussion and Commenting Services.
Proceedings of the Human Interface and the Management of Information. Information and Interaction Design, 2013

Integration System for Linguistic Software and Data Set: uLAMP (Unified Linguistic Asset Management Platform).
Proceedings of the Active Media Technology - 9th International Conference, 2013


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