Feature2Mass: Visual Feature Processing in Latent Space for Realistic Labeled Mass Generation. - Jae-Hyeok Lee 001; Seong Tae Kim 001; Hakmin Lee; Yong Man Ro (ECCV Workshops (6), 2018)

OPT: optimal human visual system-aware and power-saving color transformation for mobile AMOLED displays. - Jeong-Chan Jin; Jae-Hyeok Lee 001; Eun-Sil Kim; Young-Jin Kim 002 (Multim. Tools Appl., 2018)

Probenet: Probing Deep Networks. - Jae-Hyeok Lee 001; Seong Tae Kim 001; Yong Man Ro (ICIP, 2019)

Visual evidence for interpreting diagnostic decision of deep neural network in computer-aided diagnosis. - Seong Tae Kim 001; Jae-Hyeok Lee 001; Yong Man Ro (Computer-Aided Diagnosis, 2019)

Realistic Breast Mass Generation Through BIRADS Category. - Hakmin Lee; Seong Tae Kim 001; Jae-Hyeok Lee 001; Yong Man Ro (MICCAI (6), 2019)

MCSIP Net: Multichannel Satellite Image Prediction via Deep Neural Network. - Jae-Hyeok Lee 001; Sangmin S. Lee; Hak Gu Kim; Sa-Kwang Song; Seongchan Kim; Yong Man Ro (IEEE Trans. Geosci. Remote. Sens., 2020)

P-PseudoLabel: Enhanced Pseudo-Labeling Framework With Network Pruning in Semi-Supervised Learning. - Gyeongdo Ham; Yucheol Cho; Jae-Hyeok Lee 001; Daeshik Kim (IEEE Access, 2022)

A Multiple-State Ion Synaptic Transistor Applicable to Abnormal Car Detection with Transfer Learning. - Ji-Man Yu; Gyeongdo Ham; Chungryeol Lee; Jae-Hyeok Lee 001; Joon-Kyu Han; Jin-Ki Kim; Donggon Jang; Nahyun Kim; Moon-Seok Kim; Sung Gap Im; Dae-Shik Kim; Yang-Kyu Choi (Adv. Intell. Syst., 2022)

ICE-NeRF: Interactive Color Editing of NeRFs via Decomposition-Aware Weight Optimization. - Jae-Hyeok Lee 001; Dae-Shik Kim (ICCV, 2023)

Cosine Similarity Knowledge Distillation for Individual Class Information Transfer. - Gyeongdo Ham; Seonghak Kim; Suin Lee; Jae-Hyeok Lee 001; Daeshik Kim (CoRR, 2023)

Ambiguity-aware robust teacher (ART): Enhanced self-knowledge distillation framework with pruned teacher network. - Yucheol Cho; Gyeongdo Ham; Jae-Hyeok Lee 001; Daeshik Kim (Pattern Recognit., 2023)

FocoTrack: Multi Object Tracking by Focusing On Overlap at Low Frame Rate. - Jae Hyeok Lee 001; Jae-Hyeon Park; Dong Eui Chang (ICRA, 2024)

Difficulty level-based knowledge distillation. - Gyeongdo Ham; Yucheol Cho; Jae-Hyeok Lee 001; Minchan Kang; Gyuwon Choi; Daeshik Kim (Neurocomputing, 2024)

Adaptive Cross-Attention Gated Network for Radar-Camera Fusion in BEV Space. - Ji-Yong Lee; Jae-Hyeok Lee 001; Dong-Oh Kang (ICACT, 2025)

The Iterative Chainlet Partitioning Algorithm for the Traveling Salesman Problem with Drone and Neural Acceleration. - Jae Hyeok Lee 001; Minjun Kim; Jinkyoo Park; Changhyun Kwon (CoRR, 2025)

Generality-aware self-supervised transformer for multivariate time series anomaly detection. - Yucheol Cho; Jae-Hyeok Lee 001; Gyeongdo Ham; Donggon Jang; Dae-Shik Kim (Appl. Intell., 2025)