주요 논문

SD 연구실의 주요 연구 논문입니다.
최신 논문과 인용 정보는 Google Scholar 에서 확인할 수 있습니다.

^* 표시는 교신저자를 의미합니다.

2026
[C17]
Optical Diffraction-based Convolution for Semiconductor Lithography
Young-Han Son, Dong-Hee Shin^*, Deok-Joong Lee, Hyun Jung Lee, Tae-Eui Kam^*
Conference on Computer Vision and Pattern Recognition (CVPR), 2026
Computer Vision Top-tier Conference
[J13]
EEG-based epileptic seizure prediction with patient-tailored spectral–spatial–temporal feature learning
WooHyeok Choi, Jun-Mo Kim, Hyeonyeong Nam, Soyeon Bak, Dong-Hee Shin, Tae-Eui Kam^*
Artificial Intelligence in Medicine, 2026
JCR Top 8.3% (IF: 7.8)
[C16]
Cooperative Multi-Agent Reinforcement Learning for Wind Turbine Control in Renewable Energy
Dong-Hee Shin, Tae-Eui Kam^*
International Conference on Consumer Electronic (ICCE), 2026
[J12]
Source-driven enhanced semantic style transfer for addressing BCI illiteracy in subject-independent EEG-based motor imagery classification
Ji-Wung Han, Dong-Hee Shin, Chang-Hoon Ji, Deok-Joong Lee, Jun-Mo Kim, WooHyeok Choi, Ji-Hye Oh, Sanghyeon Cho, Young-Han Son, Tae-Eui Kam^*
Applied Soft Computing, 2026
Q1: Top 13.2% (IF: 7.8)
[C15]
Simple Yet Effective Recipes for Improving Mask Optimization in Semiconductor Lithography
Young-Han Son, Dong-Hee Shin^*
International Conference on Semiconductors (ICOS), 2026
[C14]
Advancing Molecular Structure Elucidation for Mass Spectrum Interpretation via Cepstral Analysis
Dong-Hee Shin, Eunjung Jo, Hyun Jung Lee, Hyeonyeong Nam, Tae-Eui Kam^*
International Conference on Electronics, Information, and Communication (ICEIC), 2026
[C13]
Treatment Stitching with Schrödinger Bridge for Enhancing Offline Reinforcement Learning in Adaptive Treatment Strategies
Dong-Hee Shin, Deok-Joong Lee, Young-Han Son, Tae-Eui Kam^*
Association for the Advancement of Artificial Intelligence (AAAI), 2026
Oral presentation | AI Top-tier Conference
2025
[C12]
Offline Model-based Optimization for Real-World Molecular Discovery
Dong-Hee Shin, Young-Han Son, Hyun Jung Lee, Deok-Joong Lee, Tae-Eui Kam^*
International Conference on Machine Learning (ICML), 2025
AI Top-tier Conference
[J11]
Sharpness-Aware Minimization with Physics-Informed Regularizations for Predicting Semiconductor Material Properties in Molecular Dynamics
Dong-Hee Shin, Young-Han Son, Tae-Eui Kam^*
Chemometrics and Intelligent Laboratory Systems (CHEMOLAB), 2025
JCR Top 6.8% (IF: 3.8)
[C11]
Diverse Sharpness-Aware Minimization for Machine Learning Force Fields in Semiconductor Simulations
Dong-Hee Shin, Young-Han Son, Tae-Eui Kam^*
International SoC Design Conference (ISOCC), 2025
[C10]
Sparse3Diff: A Diffusion Framework for 3D Reconstruction from Sparse 2D Slices in Volumetric Optical Imaging
Hyun Jung Lee, Eunjung Jo, Minjoo Lim, Young-Han Son, Bogyeong Kang, Hyeonyeong Nam, Ji-Hoon Jeong, Dong-Hee Shin, Tae-Eui Kam^*
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2025
[C9]
DART: Disease-aware Image-Text Alignment and Self-correcting Re-alignment for Trustworthy Radiology Report Generation
Sang-Jun Park, Keun-Soo Heo, Dong-Hee Shin, Young-Han Son, Ji-Hye Oh,
Tae-Eui Kam^*
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
Computer Vision Top-tier Conference
[J10]
Population-Based Evolutionary Search for Joint Hyperparameter and Architecture Optimization in Brain-Computer Interface
Dong-Hee Shin, Deok-Joong Lee, Ji-Wung Han, Young-Han Son, Tae-Eui Kam^*
Expert Systems with Applications (ESWA), 2025
JCR Top 5.0% (IF: 9.4)
[C8]
Designing Selective Drugs: Multi-Objective Optimization to Mitigate Off-Target Effects
Dong-Hee Shin, Young-Han Son, Deok-Joong Lee, Tae-Eui Kam^*
International Conference on Electronics, Information, and Communication (ICEIC), 2025
[C7]
Molecular Optimization with Mamba-Based GFlowNet
Young-Han Son, Dong-Hee Shin, Deok-Joong Lee, Tae-Eui Kam^*
International Conference on Electronics, Information, and Communication (ICEIC), 2025
[C6]
Hybrid Local-Global GNN for Protein Binding Interface Prediction via Ensemble Learning
Deok-Joong Lee, Dong-Hee Shin, Young-Han Son, Tae-Eui Kam^*
International Conference on Electronics, Information, and Communication (ICEIC), 2025
2024
[C5]
Image2SignalNet: Image-based deep learning approach for capturing neuronal signals from calcium imaging
Eunjung Jo, Dong-Hee Shin, Ji-Hye Oh, Sanghyeon Cho, Hyun Jung Lee, Tae-Eui Kam^*
International Conference on Bioinformatics and Biomedicine (BIBM), 2024
[J9]
A learnable continuous wavelet-based multi-branch attentive convolutional neural network for spatio–spectral–temporal EEG signal decoding
Jun-Mo Kim, Keun-Soo Heo, Dong-Hee Shin, Hyeonyeong Nam, Dong-Ok Won, Ji-Hoon Jeong, Tae-Eui Kam^*
Expert Systems with Applications (ESWA), 2024
JCR Top 6.1% (IF: 7.5)
[C4]
Dynamic Many-Objective Molecular Optimization: Unfolding Complexity with Objective Decomposition and Progressive Optimization
Dong-Hee Shin, Young-Han Son, Deok-Joong Lee, Ji-Wung Han, Tae-Eui Kam^*
International Joint Conference on Artificial Intelligence (IJCAI), 2024
AI Top-tier Conference
[J8]
Sparse Graph Representation Learning Based on Reinforcement Learning for Personalized Mild Cognitive Impairment (MCI) Diagnosis
Chang-Hoon Ji, Dong-Hee Shin, Young-Han Son, Tae-Eui Kam^*
IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), 2024
JCR Top 3.7% (IF: 6.8)
[J7]
FTMMR: Fusion Transformer for integrating Multiple Molecular Representations
Young-Han Son, Dong-Hee Shin, Tae-Eui Kam^*
IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), 2024
JCR Top 3.7% (IF: 6.8)
[J6]
META-EEG: Meta-learning-based class-relevant EEG representation learning for zero-calibration brain–computer interfaces
Ji-Wung Han, Soyeon Bak, Jun-Mo Kim, WooHyeok Choi, Dong-Hee Shin, Young-Han Son, Tae-Eui Kam^*
Expert Systems with Applications (ESWA), 2024
JCR Top 6.1% (IF: 7.5)
[J5]
Spectral Graph Neural Network-Based Multi-Atlas Brain Network Fusion for Major Depressive Disorder Diagnosis
Deok-Joong Lee, Dong-Hee Shin, Young-Han Son, Ji-Wung Han, Ji-Hye Oh, Da-Hyun Kim, Ji-Hoon Jeong, Tae-Eui Kam^*
IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), 2024
JCR Top 3.7% (IF: 6.8)
[J4]
MARS: Multiagent Reinforcement Learning for Spatial–Spectral and Temporal Feature Selection in EEG-based BCI
Dong-Hee Shin, Young-Han Son, Jun-Mo Kim, Hee-Jun Ahn, Jun-Ho Seo, Chang-Hoon Ji, Ji-Wung Han, Byung-Jun Lee, Dong-Ok Won, Tae-Eui Kam^*
IEEE Transactions on Systems, Man, and Cybernetics: Systems (IEEE TSMC), 2024
JCR Top 6.2% (IF: 8.7)
2023
[J3]
Graph-Based Conditional Generative Adversarial Networks for Major Depressive Disorder Diagnosis With Synthetic Functional Brain Network Generation
Ji-Hye Oh, Deok-Joong Lee, Chang-Hoon Ji, Dong-Hee Shin, Ji-Wung Han, Young-Han Son, Tae-Eui Kam^*
IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), 2023
JCR Top 5.7% (IF: 6.7)
[J2]
Bridging the BCI illiteracy gap: a subject-to-subject semantic style transfer for EEG-based motor imagery classification
Da-Hyun Kim, Dong-Hee Shin, Tae-Eui Kam^*
Frontiers in Human Neuroscience, 2023
JCR Q2 (IF: 2.4)
2022
[C3]
GNN-based Antibody Structure Prediction using Quaternion and Euler Angle Combined Representation
Young-Han Son, Dong-Hee Shin, Ji-Wung Han, Seong-Hyeon Won, Tae-Eui Kam^*
IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), 2022
[J1]
Deep attentive spatio-temporal feature learning for automatic resting-state fMRI denoising
Keun-Soo Heo, Dong-Hee Shin, Sheng-Che Hung, Weili Lin, Han Zhang, Dinggang Shen, Tae-Eui Kam^*
NeuroImage, 2022
JCR Top 3.3% (IF: 4.7)
[C2]
Evolutionary Reinforcement Learning for Automated Hyperparameter Optimization in EEG Classification
Dong-Hee Shin, Dong-Hee Ko, Ji-Wung Han, Tae-Eui Kam^*
International Winter Conference on Brain-Computer Interface (BCI), 2022
2021
[C1]
Attention-based spatio-temporal-spectral feature learning for subject-specific EEG classification
Dong-Hee Ko, Dong-Hee Shin, Tae-Eui Kam^*
International Winter Conference on Brain-Computer Interface (BCI), 2021

주요 논문

2026

2025

2024

2023

2022

2021