Tae-Eui Kam

62 papers A* 5B 2C 1Journal 25Unranked 29
YearRankTypeTitle / Venue / Authors
2026 C conf
Cooperative Multi-Agent Reinforcement Learning for Wind Turbine Control in Renewable Energy.
ICCE
Dong-Hee Shin, Tae-Eui Kam
2026 J jnl
EEG-based epileptic seizure prediction with patient-tailored spectral-spatial-temporal feature learning.
Artif. Intell. Medicine
WooHyeok Choi, Junmo Kim, Hyeonyeong Nam, Soyeon Bak, Dong-Hee Shin, Tae-Eui Kam
2026 J jnl
Source-driven enhanced semantic style transfer for addressing BCI illiteracy in subject-independent EEG-based motor imagery classification.
Appl. Soft Comput.
Ji-Wung Han, Dong-Hee Shin, Chang-Hoon Ji, Deok-Joong Lee, Junmo Kim, WooHyeok Choi, Ji-Hye Oh, Sanghyeon Cho, Young-Han Son, Tae-Eui Kam
2026 A* conf
Treatment Stitching with Schrödinger Bridge for Enhancing Offline Reinforcement Learning in Adaptive Treatment Strategies.
AAAI
Dong-Hee Shin, Deok-Joong Lee, Young-Han Son, Tae-Eui Kam
2025 — conf
"Going to a trap house" conveys more fear than "Going to a mall": Benchmarking Emotion Context Sensitivity for LLMs.
EMNLP (Findings)
Eojin Jeon, Mingyu Lee, Sangyun Kim, Junho Kim, Wanzee Cho, Tae-Eui Kam, SangKeun Lee
2025 A* conf
Connecting the Knowledge Dots: Retrieval-augmented Knowledge Connection for Commonsense Reasoning.
EMNLP
Junho Kim, Soyeon Bak, Mingyu Lee, Minju Hong, Songha Kim, Tae-Eui Kam, SangKeun Lee
2025 — conf
Curriculum Learning with Sampling Scheduler for Imbalanced EEG-Based Seizure Detection.
BCI
WooHyeok Choi, Jun-Mo Kim, Hyeonyeong Nam, Tae-Eui Kam
2025 A* conf
DART: Disease-aware Image-Text Alignment and Self-correcting Re-alignment for Trustworthy Radiology Report Generation.
CVPR
Sang-Jun Park, Keun-Soo Heo, Dong-Hee Shin, Young-Han Son, Ji-Hye Oh, Tae-Eui Kam
2025 J jnl
DART: Disease-aware Image-Text Alignment and Self-correcting Re-alignment for Trustworthy Radiology Report Generation.
CoRR
Sang-Jun Park, Keun-Soo Heo, Dong-Hee Shin, Young-Han Son, Ji-Hye Oh, Tae-Eui Kam
2025 J jnl
DeepSMR: Decoding high-complex motor imagery via subject-dependent multi-feature refinement in deep convolutional networks.
Comput. Biol. Medicine
Seong-Hyun Yu, Hyeong-Yeong Park, Euijong Lee, Tae-Eui Kam, Ji-Hoon Jeong
2025 — conf
Designing Selective Drugs: Multi-Objective Optimization to Mitigate Off-Target Effects.
ICEIC
Dong-Hee Shin, Young-Han Son, Deok-Joong Lee, Tae-Eui Kam
2025 — conf
EdgeANet: A Transformer-based Edge Representation Learning Network for Canine X-ray Verification.
MICCAI (1)
In-Gyu Lee, Jun-Young Oh, Hyewon Choi, Tae-Eui Kam, Namsoon Lee, Sang-Hwan Hyun, Euijong Lee, Ji-Hoon Jeong
2025 — conf
Hybrid Local-Global GNN for Protein Binding Interface Prediction via Ensemble Learning.
ICEIC
Deok-Joong Lee, Dong-Hee Shin, Young-Han Son, Tae-Eui Kam
2025 — conf
Molecular Optimization with Mamba-Based GFlowNet.
ICEIC
Young-Han Son, Dong-Hee Shin, Deok-Joong Lee, Tae-Eui Kam
2025 J jnl
Multi-modal Contrastive Learning for Tumor-specific Missing Modality Synthesis.
CoRR
Minjoo Lim, Bogyeong Kang, Tae-Eui Kam
2025 B conf
Multimodal Integration of MRI and Genetic Information for Glioblastoma Survival Prediction.
SMC
Hanbeen Kang, Bogyeong Kang, Minjoo Lim, Tae-Eui Kam
2025 A* conf
Offline Model-based Optimization for Real-World Molecular Discovery.
ICML
Dong-Hee Shin, Young-Han Son, Hyun Jung Lee, Deok-Joong Lee, Tae-Eui Kam
2025 J jnl
Population-based evolutionary search for joint hyperparameter and architecture optimization in brain-computer interface.
Expert Syst. Appl.
Dong-Hee Shin, Deok-Joong Lee, Ji-Wung Han, Young-Han Son, Tae-Eui Kam
2025 — conf
Pre-to-Post Operative MRI Generation with Retrieval-Based Visual In-Context Learning.
MICCAI (1)
Bogyeong Kang, Sang-Jun Park, Minjoo Lim, Myeongkyun Kang, Keun-Soo Heo, Ji-Hye Oh, Hyun Jung Lee, Tae-Eui Kam
2025 — conf
SeeEEG: Semantic-aware EEG-based Multi-Modal Retrieval-Augmented Generation for High-Fidelity Visual Brain Decoding.
ICCVW
Junmo Kim, WooHyeok Choi, Sang-Jun Park, Keun-Soo Heo, Young-Han Son, Ji-Hye Oh, Dong-Hee Shin, Tae-Eui Kam
2025 — conf
Sparse3Diff: A Diffusion Framework for 3D Reconstruction from Sparse 2D Slices in Volumetric Optical Imaging.
MICCAI (4)
Hyun Jung Lee, Eunjung Jo, Minjoo Lim, Young-Han Son, Bogyeong Kang, Hyeonyeong Nam, Ji-Hoon Jeong, Dong-Hee Shin, Tae-Eui Kam
2025 — conf
Sparsely Labeled fMRI Data Denoising with Meta-learning-Based Semi-supervised Domain Adaptation.
MICCAI (7)
Keun-Soo Heo, Ji-Wung Han, Soyeon Bak, Minjoo Lim, Bogyeong Kang, Sang-Jun Park, Weili Lin, Han Zhang, Dinggang Shen, Tae-Eui Kam
2025 J jnl
Treatment Stitching with Schrödinger Bridge for Enhancing Offline Reinforcement Learning in Adaptive Treatment Strategies.
CoRR
Dong-Hee Shin, Deok-Joong Lee, Young-Han Son, Tae-Eui Kam
2025 — conf
Visual Decoding Using a Learnable Wavelet-Based Spatial-Spectral-Temporal EEG Embedding.
BCI
Yebin Choi, Jun-Mo Kim, WooHyeok Choi, Chang-Hoon Ji, Ji-Hye Oh, Tae-Eui Kam
2024 — conf
A Comparative Study: Enhancing Conditional Generative Adversarial Networks for Functional Connectivity Synthesis in Major Depressive Disorder.
ICPRAI (1)
Ji-Hye Oh, Eunjung Jo, Tae-Eui Kam
2024 J jnl
A Unified Multi-Modality Fusion Framework for Deep Spatio-Spectral-Temporal Feature Learning in Resting-State fMRI Denoising.
IEEE J. Biomed. Health Informatics
Minjoo Lim, Keun-Soo Heo, Jun-Mo Kim, Bogyeong Kang, Weili Lin, Han Zhang, Dinggang Shen, Tae-Eui Kam
2024 J jnl
A learnable continuous wavelet-based multi-branch attentive convolutional neural network for spatio-spectral-temporal EEG signal decoding.
Expert Syst. Appl.
Junmo Kim, Keun-Soo Heo, Dong-Hee Shin, Hyeonyeong Nam, Dong-Ok Won, Ji-Hoon Jeong, Tae-Eui Kam
2024 J jnl
DeepHealthNet: Adolescent Obesity Prediction System Based on a Deep Learning Framework.
IEEE J. Biomed. Health Informatics
Ji-Hoon Jeong, In-Gyu Lee, Sung-Kyung Kim, Tae-Eui Kam, Seong-Whan Lee, Euijong Lee
2024 A* conf
Dynamic Many-Objective Molecular Optimization: Unfolding Complexity with Objective Decomposition and Progressive Optimization.
IJCAI
Dong-Hee Shin, Young-Han Son, Deok-Joong Lee, Ji-Wung Han, Tae-Eui Kam
2024 — conf
Enhanced Structure Preservation and Multi-View Approach in Unsupervised Domain Adaptation for Optic Disc and Cup Segmentation.
ISBI
Sanghyeon Cho, Bogyeong Kang, Keun-Soo Heo, Eunjung Jo, Tae-Eui Kam
2024 J jnl
FTMMR: Fusion Transformer for Integrating Multiple Molecular Representations.
IEEE J. Biomed. Health Informatics
Young-Han Son, Dong-Hee Shin, Tae-Eui Kam
2024 J jnl
Graph-Based Conditional Generative Adversarial Networks for Major Depressive Disorder Diagnosis With Synthetic Functional Brain Network Generation.
IEEE J. Biomed. Health Informatics
Ji-Hye Oh, Deok-Joong Lee, Chang-Hoon Ji, Dong-Hee Shin, Ji-Wung Han, Young-Han Son, Tae-Eui Kam
2024 — conf
Image2SignalNet: Image-based deep learning approach for capturing neuronal signals from calcium imaging.
BIBM
Eunjung Jo, Dong-Hee Shin, Ji-Hye Oh, Sanghyeon Cho, Hyun Jung Lee, Tae-Eui Kam
2024 J jnl
MARS: Multiagent Reinforcement Learning for Spatial - Spectral and Temporal Feature Selection in EEG-Based BCI.
IEEE Trans. Syst. Man Cybern. Syst.
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
2024 J jnl
META-EEG: Meta-learning-based class-relevant EEG representation learning for zero-calibration brain-computer interfaces.
Expert Syst. Appl.
Ji-Wung Han, Soyeon Bak, Jun-Mo Kim, WooHyeok Choi, Dong-Hee Shin, Young-Han Son, Tae-Eui Kam
2024 — conf
Meta-Learning-based Cross-Dataset Motor Imagery Brain-Computer Interface.
BCI
Jun-Mo Kim, Soyeon Bak, Hyeonyeong Nam, WooHyeok Choi, Tae-Eui Kam
2024 — conf
Solving Blind Inverse Problem in Microscopy: Diffusion-based Zero-shot Isotropic Reconstruction.
BIBM
Hyun Jung Lee, Eunjung Jo, Minjoo Lim, Ji-Hye Oh, Tae-Eui Kam
2024 J jnl
Sparse Graph Representation Learning Based on Reinforcement Learning for Personalized Mild Cognitive Impairment (MCI) Diagnosis.
IEEE J. Biomed. Health Informatics
Chang-Hoon Ji, Dong-Hee Shin, Young-Han Son, Tae-Eui Kam
2024 J jnl
Spectral Graph Neural Network-Based Multi-Atlas Brain Network Fusion for Major Depressive Disorder Diagnosis.
IEEE J. Biomed. Health Informatics
Deok-Joong Lee, Dong-Hee Shin, Young-Han Son, Ji-Wung Han, Ji-Hye Oh, Da-Hyun Kim, Ji-Hoon Jeong, Tae-Eui Kam
2024 J jnl
Toward Robust Canine Cardiac Diagnosis: Deep Prototype Alignment Network-Based Few-Shot Segmentation in Veterinary Medicine.
CoRR
Jun-Young Oh, In-Gyu Lee, Tae-Eui Kam, Ji-Hoon Jeong
2023 J jnl
Autonomous System for EEG-Based Multiple Abnormal Mental States Classification Using Hybrid Deep Neural Networks Under Flight Environment.
IEEE Trans. Syst. Man Cybern. Syst.
Dae-Hyeok Lee, Ji-Hoon Jeong, Baek-Woon Yu, Tae-Eui Kam, Seong-Whan Lee
2023 J jnl
DeepHealthNet: Adolescent Obesity Prediction System Based on a Deep Learning Framework.
CoRR
Ji-Hoon Jeong, In-Gyu Lee, Sung-Kyung Kim, Tae-Eui Kam, Seong-Whan Lee, Euijong Lee
2023 — conf
Feature Selection Based on Layer-Wise Relevance Propagation for EEG-based MI classification.
BCI
Hyeonyeong Nam, Jun-Mo Kim, Tae-Eui Kam
2023 J jnl
Motion Sickness Prediction Based on Dry EEG in Real Driving Environment.
IEEE Trans. Intell. Transp. Syst.
Ji-Seon Bang, Dong-Ok Won, Tae-Eui Kam, Seong-Whan Lee
2023 J jnl
Multi-view Cross-Modality MR Image Translation for Vestibular Schwannoma and Cochlea Segmentation.
CoRR
Bogyeong Kang, Hyeonyeong Nam, Ji-Wung Han, Keun-Soo Heo, Tae-Eui Kam
2023 B conf
SAT-Net: SincNet-Based Attentive Temporal Convolutional Network for Motor Imagery Classification.
SMC
Jun-Mo Kim, Soyeon Bak, Hyeonyeong Nam, WooHyeok Choi, Da-Hyun Kim, Tae-Eui Kam
2022 J jnl
Deep attentive spatio-temporal feature learning for automatic resting-state fMRI denoising.
NeuroImage
Keun-Soo Heo, Dong-Hee Shin, Sheng-Che Hung, Weili Lin, Han Zhang, Dinggang Shen, Tae-Eui Kam
2022 — conf
Evolutionary Reinforcement Learning for Automated Hyperparameter Optimization in EEG Classification.
BCI
Dong-Hee Shin, Dong-Hee Ko, Ji-Wung Han, Tae-Eui Kam
2022 — conf
Multi-view Cross-Modality MR Image Translation for Vestibular Schwannoma and Cochlea Segmentation.
BrainLes@MICCAI (2)
Bogyeong Kang, Hyeonyeong Nam, Ji-Wung Han, Keun-Soo Heo, Tae-Eui Kam
2021 — conf
Attention-based spatio-temporal-spectral feature learning for subject-specific EEG classification.
BCI
Dong-Hee Ko, Dong-Hee Shin, Tae-Eui Kam
2020 — conf
A Computational Framework for Dissociating Development-Related from Individually Variable Flexibility in Regional Modularity Assignment in Early Infancy.
MICCAI (7)
Mayssa Soussia, Xuyun Wen, Zhen Zhou, Bing Jin, Tae-Eui Kam, Li-Ming Hsu, Zhengwang Wu, Gang Li, Li Wang, Islem Rekik, Weili Lin, Dinggang Shen, Han Zhang
2020 J jnl
Deep Learning of Static and Dynamic Brain Functional Networks for Early MCI Detection.
IEEE Trans. Medical Imaging
Tae-Eui Kam, Han Zhang, Zhicheng Jiao, Dinggang Shen
2020 — conf
Enriched Representation Learning in Resting-State fMRI for Early MCI Diagnosis.
MICCAI (7)
Eunjin Jeon, Eunsong Kang, Jiyeon Lee, Jaein Lee, Tae-Eui Kam, Heung-Il Suk
2019 — conf
A Deep Learning Framework for Noise Component Detection from Resting-State Functional MRI.
MICCAI (3)
Tae-Eui Kam, Xuyun Wen, Bing Jin, Zhicheng Jiao, Li-Ming Hsu, Zhen Zhou, Yujie Liu, Koji Yamashita, Sheng-Che Hung, Weili Lin, Han Zhang, Dinggang Shen
2019 — conf
Dynamic Routing Capsule Networks for Mild Cognitive Impairment Diagnosis.
MICCAI (4)
Zhicheng Jiao, Pu Huang, Tae-Eui Kam, Li-Ming Hsu, Ye Wu, Han Zhang, Dinggang Shen
2018 — conf
A Novel Deep Learning Framework on Brain Functional Networks for Early MCI Diagnosis.
MICCAI (3)
Tae-Eui Kam, Han Zhang, Dinggang Shen
2013 — conf
Non-homogeneous spatial filter optimization for EEG-based brain-computer interfaces.
BCI
Tae-Eui Kam, Heung-Il Suk, Seong-Whan Lee
2013 J jnl
Non-homogeneous spatial filter optimization for ElectroEncephaloGram (EEG)-based motor imagery classification.
Neurocomputing
Tae-Eui Kam, Heung-Il Suk, Seong-Whan Lee
2011 — conf
A P300-Based Hangul Input System with a Hierarchical Stimulus Presentation Paradigm.
PRNI
Tae-Hoon Lee, Tae-Eui Kam, Sung-Phil Kim
2011 J jnl
A hierarchical stimulus presentation paradigm for a P300-based Hangul speller.
Int. J. Imaging Syst. Technol.
Tae-Hoon Lee, Tae-Eui Kam, Sung-Phil Kim
2011 — conf
Optimizing Time-Dependent Discriminative Spatial Filter for EEG-Based Multi-class Motor Imagery Classification.
PRNI
Tae-Eui Kam, Seong-Whan Lee
2011 — conf
Time-Dependent Common Spatial Patterns optimization for EEG signal classification.
ACPR
Tae-Eui Kam, Seong-Whan Lee