Yucheol Cho

According to our database, Yucheol Cho authored at least 7 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Generality-aware self-supervised transformer for multivariate time series anomaly detection.

Yucheol Cho, Jae-Hyeok Lee, Gyeongdo Ham, Donggon Jang, Dae-Shik Kim

Appl. Intell., May, 2025

MMR: A Large-scale Benchmark Dataset for Multi-target and Multi-granularity Reasoning Segmentation.

Donggon Jang, Yucheol Cho, Suin Lee, Taehyeon Kim, Daeshik Kim

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Robustness-Reinforced Knowledge Distillation With Correlation Distance and Network Pruning.

Seonghak Kim, Gyeongdo Ham, Yucheol Cho, Daeshik Kim

IEEE Trans. Knowl. Data Eng., December, 2024

SemiH: DFT Hamiltonian neural network training with semi-supervised learning.

Yucheol Cho, Guenseok Choi, Gyeongdo Ham, Mincheol Shin, Daeshik Kim

Mach. Learn. Sci. Technol., 2024

Difficulty level-based knowledge distillation.

Gyeongdo Ham, Yucheol Cho, Jae-Hyeok Lee, Minchan Kang, Gyuwon Choi, Daeshik Kim

Neurocomputing, 2024

2023

Ambiguity-aware robust teacher (ART): Enhanced self-knowledge distillation framework with pruned teacher network.

Yucheol Cho, Gyeongdo Ham, Jae-Hyeok Lee, Daeshik Kim

Pattern Recognit., August, 2023

2022

P-PseudoLabel: Enhanced Pseudo-Labeling Framework With Network Pruning in Semi-Supervised Learning.

Gyeongdo Ham, Yucheol Cho, Jae-Hyeok Lee, Daeshik Kim

IEEE Access, 2022