Multimodal imaging technique for rapid response brain-computer interface feedback. - Seul-Ki Yeom; Siamac Fazli; Jan Mehnert; Benjamin Blankertz; Jens Steinbrink; Klaus-Robert Müller; Seong-Whan Lee (BCI, 2013)

Eeg-based person authentication using face stimuli. - Seul-Ki Yeom; Heung-Il Suk; Seong-Whan Lee (BCI, 2013)

Person authentication from neural activity of face-specific visual self-representation. - Seul-Ki Yeom; Heung-Il Suk; Seong-Whan Lee (Pattern Recognit., 2013)

P300 visual speller based on random set presentation. - Seul-Ki Yeom; Siamac Fazli; Seong-Whan Lee (BCI, 2014)

Towards an enhanced ERP speller based on the visual processing of face familiarity. - Seul-Ki Yeom; Siamac Fazli; Klaus-Robert Müller; Seong-Whan Lee (EMBC, 2014)

EEG-based Classification of Consciousness during Sedation Using Global Spectra Principal Components. - Seul-Ki Yeom; Hwi-Jae Kim; Kwang-Suk Seo; Hyun Jeong Kim; Seong-Whan Lee (ACPR, 2017)

Classification of midazolam-induced sedation depth based on spatial and spectral analysis. - Hwi-Jae Kim; Seul-Ki Yeom; Kwang-Suk Seo; Hyun Jeong Kim; Seong-Whan Lee (BCI, 2017)

Change in functional networks for transitions between states of consciousness during midazolam-induced sedation. - Minji Lee; Robert D. Sanders; Seul-Ki Yeom; Dong-Ok Won; Hwi-Jae Kim; Bo-Ram Lee; Kwang-Suk Seo; Hyun Jeong Kim; Giulio Tononi; Seong-Whan Lee (EMBC, 2017)

Spatio-temporal analysis of EEG signal during consciousness using convolutional neural network. - Minji Lee; Seul-Ki Yeom; Benjamin Baird; Olivia Gosseries; Jaakko O. Nieminen; Giulio Tononi; Seong-Whan Lee (BCI, 2018)

Pruning by Explaining: A Novel Criterion for Deep Neural Network Pruning. - Seul-Ki Yeom; Philipp Seegerer; Sebastian Lapuschkin; Simon Wiedemann; Klaus-Robert Müller; Wojciech Samek (CoRR, 2019)

Toward Compact Deep Neural Networks via Energy-Aware Pruning. - Seul-Ki Yeom; Kyung-Hwan Shim 001; Jee-Hyun Hwang (CoRR, 2021)

Automatic Neural Network Pruning that Efficiently Preserves the Model Accuracy. - Thibault Castells; Seul-Ki Yeom (CoRR, 2021)

Pruning by explaining: A novel criterion for deep neural network pruning. - Seul-Ki Yeom; Philipp Seegerer; Sebastian Lapuschkin; Alexander Binder; Simon Wiedemann; Klaus-Robert Müller; Wojciech Samek (Pattern Recognit., 2021)

UniForm: A Reuse Attention Mechanism Optimized for Efficient Vision Transformers on Edge Devices. - Seul-Ki Yeom; Tae-Ho Kim (CoRR, 2024)

U-MixFormer: UNet-Like Transformer with Mix-Attention for Efficient Semantic Segmentation. - Seul-Ki Yeom; Julian von Klitzing (WACV, 2025)

Video Self-Distillation for Single-Image Encoders: A Step Toward Physically Plausible Perception. - Marcel Simon; Tae-Ho Kim; Seul-Ki Yeom (CoRR, 2025)