| 2026 | AAAI | HyFI: Hyperbolic Feature Interpolation for Brain-Vision Alignment. | Sangmin Jo, Wootaek Jeong, Da-Woon Heo, Yoohwan Hwang, Heung-Il Suk |
| 2025 | CIKM | Parameter-Efficient Transfer Learning for EEG Foundation Models via Task-Relevant Feature Focusing. | Jaehyun Jeon, Seungwoo Jeong, Yeajin Shon, Heung-Il Suk |
| 2025 | CIKM | Frequency-Conditioned Diffusion Models for Time Series Generation. | Seungwoo Jeong, Junghyo Sohn, Jaehyun Jeon, Heung-Il Suk |
| 2025 | CIKM | Quantized Factor Identifiable Causal Effect Variational Autoencoder. | Sujeong Song, Junghyo Sohn, Eunsong Kang, Heung-Il Suk |
| 2025 | IJCAI | ExpertDiff: Head-less Model Reprogramming with Diffusion Classifiers for Out-of-Distribution Generalization. | Jee Seok Yoon, Junghyo Sohn, Wootaek Jeong, Heung-Il Suk |
| 2025 | MICCAI | Diff-RRG: Longitudinal Disease-Wise Patch Difference as Guidance for LLM-Based Radiology Report Generation. | Hannah Yun, Junyeong Maeng, Eunsong Kang, Heung-Il Suk |
| 2024 | ICASSP | Eigendecomposition-Based Spatial-Temporal Attention for Brain Cognitive States Identification. | Jiwon Lee, Eunsong Kang, Junyeong Maeng, Heung-Il Suk |
| 2024 | MICCAI | BrainWaveNet: Wavelet-Based Transformer for Autism Spectrum Disorder Diagnosis. | Ah-Yeong Jeong, Da-Woon Heo, Eunsong Kang, Heung-Il Suk |
| 2023 | CIKM | Age-Aware Guidance via Masking-Based Attention in Face Aging. | Junyeong Maeng, Kwanseok Oh, Heung-Il Suk |
| 2022 | CIKM | EEG-Oriented Self-Supervised Learning and Cluster-Aware Adaptation. | Wonjun Ko, Heung-Il Suk |
| 2022 | ICASSP | Enhancing Contextual Encoding With Stage-Confusion and Stage-Transition Estimation for EEG-Based Sleep Staging. | Jaeun Phyo, Wonjun Ko, Eunjin Jeon, Heung-Il Suk |
| 2022 | ICDM | Deep Geometrical Learning for Alzheimer's Disease Progression Modeling. | Seungwoo Jeong, Wonsik Jung, Junghyo Sohn, Heung-Il Suk |
| 2022 | MICCAI | Prototype Learning of Inter-network Connectivity for ASD Diagnosis and Personalized Analysis. | Eunsong Kang, Da-Woon Heo, Heung-Il Suk |
| 2022 | MICCAI | A Novel Knowledge Keeper Network for 7T-Free but 7T-Guided Brain Tissue Segmentation. | Jieun Lee, Kwanseok Oh, Dinggang Shen, Heung-Il Suk |
| 2021 | ICDM | ENGINE: Enhancing Neuroimaging and Genetic Information by Neural Embedding. | Wonjun Ko, Wonsik Jung, Eunjin Jeon, Ahmad Wisnu Mulyadi, Heung-Il Suk |
| 2021 | MICCAI | Inter-regional High-Level Relation Learning from Functional Connectivity via Self-supervision. | Wonsik Jung, Da-Woon Heo, Eunjin Jeon, Jaein Lee, Heung-Il Suk |
| 2021 | MICCAI | Meta-modulation Network for Domain Generalization in Multi-site fMRI Classification. | Jaein Lee, Eunsong Kang, Eunjin Jeon, Heung-Il Suk |
| 2020 | MICCAI | Enriched Representation Learning in Resting-State fMRI for Early MCI Diagnosis. | Eunjin Jeon, Eunsong Kang, Jiyeon Lee, Jaein Lee, Tae-Eui Kam, Heung-Il Suk |
| 2019 | IJCNN | Stochastic Imputation and Uncertainty-Aware Attention to EHR for Mortality Prediction. | Eunji Jun, Ahmad Wisnu Mulyadi, Heung-Il Suk |
| 2019 | MICCAI | Unified Modeling of Imputation, Forecasting, and Prediction for AD Progression. | Wonsik Jung, Ahmad Wisnu Mulyadi, Heung-Il Suk |
| 2018 | MICCAI | Regional Abnormality Representation Learning in Structural MRI for AD/MCI Diagnosis. | Jun-Sik Choi, Eunho Lee, Heung-Il Suk |
| 2018 | MICCAI | Probabilistic Source Separation on Resting-State fMRI and Its Use for Early MCI Identification. | Eunsong Kang, Heung-Il Suk |
| 2017 | MICCAI | Region-Wise Stochastic Pattern Modeling for Autism Spectrum Disorder Identification and Temporal Dynamics Analysis. | Eunji Jun, Heung-Il Suk |
| 2016 | MICCAI | Deep Ensemble Sparse Regression Network for Alzheimer's Disease Diagnosis. | Heung-Il Suk, Dinggang Shen |
| 2016 | MICCAI | Structured Sparse Low-Rank Regression Model for Brain-Wide and Genome-Wide Associations. | Xiaofeng Zhu, Heung-Il Suk, Heng Huang, Dinggang Shen |
| 2016 | MICCAI | Joint Discriminative and Representative Feature Selection for Alzheimer's Disease Diagnosis. | Xiaofeng Zhu, Heung-Il Suk, Kim-Han Thung, Yingying Zhu, Guorong Wu, Dinggang Shen |
| 2015 | MICCAI | A Hybrid of Deep Network and Hidden Markov Model for MCI Identification with Resting-State fMRI. | Heung-Il Suk, Seong-Whan Lee, Dinggang Shen |
| 2015 | MICCAI | Multi-view Classification for Identification of Alzheimer's Disease. | Xiaofeng Zhu, Heung-Il Suk, Yonghua Zhu, Kim-Han Thung, Guorong Wu, Dinggang Shen |
| 2014 | AVSS | Modeling crowd motions for abnormal activity detection. | Dong-Gyu Lee, Heung-Il Suk, Seong-Whan Lee |
| 2014 | CVPR | Joint Coupled-Feature Representation and Coupled Boosting for AD Diagnosis. | Yinghuan Shi, Heung-Il Suk, Yang Gao, Dinggang Shen |
| 2014 | CVPR | Matrix-Similarity Based Loss Function and Feature Selection for Alzheimer's Disease Diagnosis. | Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen |
| 2014 | ICPR | View-Invariant 3D Action Recognition Using Spatiotemporal Self-Similarities from Depth Camera. | Areum Lee, Heung-Il Suk, Seong-Whan Lee |
| 2014 | MICCAI | Deep Learning Based Imaging Data Completion for Improved Brain Disease Diagnosis. | Rongjian Li, Wenlu Zhang, Heung-Il Suk, Li Wang, Jiang Li, Dinggang Shen, Shuiwang Ji |
| 2014 | MICCAI | Clustering-Induced Multi-task Learning for AD/MCI Classification. | Heung-Il Suk, Dinggang Shen |
| 2014 | MICCAI | Online Discriminative Multi-atlas Learning for Isointense Infant Brain Segmentation. | Xuchu Wang, Li Wang, Heung-Il Suk, Dinggang Shen |
| 2014 | MICCAI | Multi-modality Canonical Feature Selection for Alzheimer's Disease Diagnosis. | Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen |
| 2014 | MICCAI | A Novel Multi-relation Regularization Method for Regression and Classification in AD Diagnosis. | Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen |
| 2014 | MICCAI | Sparse Discriminative Feature Selection for Multi-class Alzheimer's Disease Classification. | Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen |
| 2013 | MICCAI | Integrating Multiple Network Properties for MCI Identification. | Biao Jie, Daoqiang Zhang, Heung-Il Suk, Chong-Yaw Wee, Dinggang Shen |
| 2013 | MICCAI | Multi-task Sparse Classifier for Diagnosis of MCI Conversion to AD with Longitudinal MR Images. | Manhua Liu, Heung-Il Suk, Dinggang Shen |
| 2013 | MICCAI | High-Order Graph Matching Based Feature Selection for Alzheimer's Disease Identification. | Feng Liu, Heung-Il Suk, Chong-Yaw Wee, Huafu Chen, Dinggang Shen |
| 2013 | MICCAI | Deep Learning-Based Feature Representation for AD/MCI Classification. | Heung-Il Suk, Dinggang Shen |
| 2013 | MICCAI | Discriminative Group Sparse Representation for Mild Cognitive Impairment Classification. | Heung-Il Suk, Chong-Yaw Wee, Dinggang Shen |
| 2012 | SMC | Online learning of sparse pseudo-input Gaussian Process. | Heung-Il Suk, Yuzhuo Wang, Seong-Whan Lee |
| 2011 | SMC | A probabilistic approach to spatio-spectral filters optimization in Brain-Computer Interface. | Heung-Il Suk, Seong-Whan Lee |
| 2009 | WACV | Analyzing human interactions with a network of dynamic probabilistic models. | Heung-Il Suk, Bong-Kee Sin, Seong-Whan Lee |
| 2008 | ICPR | Robust modeling and recognition of hand gestures with dynamic Bayesian network. | Heung-Il Suk, Bong-Kee Sin, Seong-Whan Lee |
| 2006 | SSPR | HMM-Based Gait Recognition with Human Profiles. | Heung-Il Suk, Bong-Kee Sin |