| 2026 | AAAI | Treatment Stitching with Schrdinger Bridge for Enhancing Offline Reinforcement Learning in Adaptive Treatment Strategies. | Dong-Hee Shin, Deok-Joong Lee, Young-Han Son, Tae-Eui Kam |
| 2026 | SAC | Subject-Invariant EEG Embeddings via Mixup and Adversarial Learning for Semantic Retrieval. | WooHyeok Choi, Jun-Mo Kim, Songha Kim, Yebin Choi, Tae-Eui Kam |
| 2026 | SAC | Neuro-SIT : Neural Speech Imagery Transformer with Token-Level Representation for Sentence-Level EEG Decoding. | Se-Na Jang, Hyeong-Yeong Park, Seong-Wook Kim, Hyuna Roh, Ah-Hyun Kim, Tae-Eui Kam, Ji-Hoon Jeong |
| 2026 | SAC | CroSS: Cross-subject Visual Brain Decoding via Soft Alignment and Subject-aware Batch Normalization. | Jun-Mo Kim, WooHyeok Choi, Yebin Choi, Songha Kim, Tae-Eui Kam |
| 2025 | CVPR | 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 |
| 2025 | EMNLP | "Going to a trap house" conveys more fear than "Going to a mall": Benchmarking Emotion Context Sensitivity for LLMs. | Eojin Jeon, Mingyu Lee, Sangyun Kim, Junho Kim, Wanzee Cho, Tae-Eui Kam, SangKeun Lee |
| 2025 | EMNLP | Connecting the Knowledge Dots: Retrieval-augmented Knowledge Connection for Commonsense Reasoning. | Junho Kim, Soyeon Bak, Mingyu Lee, Minju Hong, Songha Kim, Tae-Eui Kam, SangKeun Lee |
| 2025 | ICCV | SeeEEG: Semantic-aware EEG-based Multi-Modal Retrieval-Augmented Generation for High-Fidelity Visual Brain Decoding. | Junmo Kim, WooHyeok Choi, Sang-Jun Park, Keun-Soo Heo, Young-Han Son, Ji-Hye Oh, Dong-Hee Shin, Tae-Eui Kam |
| 2025 | ICML | Offline Model-based Optimization for Real-World Molecular Discovery. | Dong-Hee Shin, Young-Han Son, Hyun Jung Lee, Deok-Joong Lee, Tae-Eui Kam |
| 2025 | MICCAI | Sparsely Labeled fMRI Data Denoising with Meta-learning-Based Semi-supervised Domain Adaptation. | 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 | MICCAI | Pre-to-Post Operative MRI Generation with Retrieval-Based Visual In-Context Learning. | Bogyeong Kang, Sang-Jun Park, Minjoo Lim, Myeongkyun Kang, Keun-Soo Heo, Ji-Hye Oh, Hyun Jung Lee, Tae-Eui Kam |
| 2025 | MICCAI | 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 |
| 2025 | MICCAI | EdgeANet: A Transformer-based Edge Representation Learning Network for Canine X-ray Verification. | In-Gyu Lee, Jun-Young Oh, Hyewon Choi, Tae-Eui Kam, Namsoon Lee, Sang-Hwan Hyun, Euijong Lee, Ji-Hoon Jeong |
| 2025 | SMC | Multimodal Integration of MRI and Genetic Information for Glioblastoma Survival Prediction. | Hanbeen Kang, Bogyeong Kang, Minjoo Lim, Tae-Eui Kam |
| 2024 | IJCAI | 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 |
| 2023 | SMC | SAT-Net: SincNet-Based Attentive Temporal Convolutional Network for Motor Imagery Classification. | Jun-Mo Kim, Soyeon Bak, Hyeonyeong Nam, WooHyeok Choi, Da-Hyun Kim, Tae-Eui Kam |
| 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 |
| 2020 | MICCAI | A Computational Framework for Dissociating Development-Related from Individually Variable Flexibility in Regional Modularity Assignment in Early Infancy. | 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 |
| 2019 | MICCAI | Dynamic Routing Capsule Networks for Mild Cognitive Impairment Diagnosis. | Zhicheng Jiao, Pu Huang, Tae-Eui Kam, Li-Ming Hsu, Ye Wu, Han Zhang, Dinggang Shen |
| 2019 | MICCAI | A Deep Learning Framework for Noise Component Detection from Resting-State Functional MRI. | 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 |
| 2018 | MICCAI | A Novel Deep Learning Framework on Brain Functional Networks for Early MCI Diagnosis. | Tae-Eui Kam, Han Zhang, Dinggang Shen |