| 2024 | MICCAI | Training ViT with Limited Data for Alzheimer's Disease Classification: An Empirical Study. | Kassymzhomart Kunanbayev, Vyacheslav Shen, Dae-Shik Kim |
| 2023 | CVPR | Temporally Averaged Regression for Semi-Supervised Low-Light Image Enhancement. | Sunhyeok Lee, Donggon Jang, Dae-Shik Kim |
| 2023 | ICCV | ICE-NeRF: Interactive Color Editing of NeRFs via Decomposition-Aware Weight Optimization. | Jae-Hyeok Lee, Dae-Shik Kim |
| 2022 | CVPR | Strengthening the Transferability of Adversarial Examples Using Advanced Looking Ahead and Self-CutMix. | Donggon Jang, Sanghyeok Son, Dae-Shik Kim |
| 2022 | MICCAI | Accurate Hippocampus Segmentation Based on Self-supervised Learning with Fewer Labeled Data. | Kassymzhomart Kunanbayev, Donggon Jang, Woojin Jeong, Nahyun Kim, Dae-Shik Kim |
| 2022 | WACV | Learning Color Representations for Low-Light Image Enhancement. | Bomi Kim, Sunhyeok Lee, Nahyun Kim, Donggon Jang, Dae-Shik Kim |
| 2021 | CVPR | Weighted Multi-Kernel Prediction Network for Burst Image Super-Resolution. | Wooyeong Cho, Sanghyeok Son, Dae-Shik Kim |
| 2021 | NLDB | Cross-Active Connection for Image-Text Multimodal Feature Fusion. | JungHyuk Im, Wooyeong Cho, Dae-Shik Kim |
| 2018 | IJCAI | Latent Question Interpretation Through Parameter Adaptation Using Stochastic Neuron. | Tetiana Parshakova, Dae-Shik Kim |
| 2018 | Interspeech | End-to-End Speech Command Recognition with Capsule Network. | Jaesung Bae, Dae-Shik Kim |
| 2018 | ISNN | Competitive Hyperparameter Balancing on Spiking Neural Network for a Fast, Accurate and Energy-Efficient Inference. | Jeongho Kim, Dae-Shik Kim |
| 2014 | SMC | Quantification and reduction of visual load during BCI operation. | Kiuk Gwak, Robert Leeb, Jos del R. Milln, Dae-Shik Kim |
| 2013 | ICONIP | Planning as Inference in a Hierarchical Predictive Memory. | Hansol Choi, Dae-Shik Kim |
| 2013 | ICONIP | Multiple Kernel Learning with Hierarchical Feature Representations. | Juhyeon Lee, Jae Hyun Lim, Hyungwon Choi, Dae-Shik Kim |
| 2013 | SIGGRAPH | Applications of projection based interactive user interface. | Jun-Cheol Park, Yunhun Jang, Hyungwon Choi, Sihyeon Seong, Sunghun Kang, Dae-Shik Kim |
| 2012 | ICONIP | Apparent Volitional Behavior Selection Based on Memory Predictions. | Jun-Cheol Park, Jae Hyeon Yoo, Juhyeon Lee, Dae-Shik Kim |
| 2012 | IJCNN | Reward hierarchical temporal memory. | Hansol Choi, Jun-Cheol Park, Jae Hyun Lim, Jae Young Jun, Dae-Shik Kim |
| 2012 | IJCNN | Learning spatio-temporally invariant representations from video. | Jae Hyun Lim, Hansol Choi, Jun-Cheol Park, Jae Young Jun, Dae-Shik Kim |
| 1990 | SC | Computation of large-scale constrained matrix problems: the splitting equilibration algorithm. | Anna Nagurney, Alexander Eydeland, Dae-Shik Kim |