Gyeongdo Ham

13 papers Journal 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
Generality-aware self-supervised transformer for multivariate time series anomaly detection.
Appl. Intell.
Yucheol Cho, Jae-Hyeok Lee, Gyeongdo Ham, Donggon Jang, Dae-Shik Kim
2025 J jnl
Teach sample-specific knowledge: Separated distillation based on samples.
Eng. Appl. Artif. Intell.
Seonghak Kim, Gyeongdo Ham, Suin Lee, Daeshik Kim
2024 J jnl
Difficulty level-based knowledge distillation.
Neurocomputing
Gyeongdo Ham, Yucheol Cho, Jae-Hyeok Lee, Minchan Kang, Gyuwon Choi, Daeshik Kim
2024 J jnl
Maximizing discrimination capability of knowledge distillation with energy function.
Knowl. Based Syst.
Seonghak Kim, Gyeongdo Ham, Suin Lee, Donggon Jang, Daeshik Kim
2024 J jnl
Robustness-Reinforced Knowledge Distillation With Correlation Distance and Network Pruning.
IEEE Trans. Knowl. Data Eng.
Seonghak Kim, Gyeongdo Ham, Yucheol Cho, Daeshik Kim
2024 J jnl
SemiH: DFT Hamiltonian neural network training with semi-supervised learning.
Mach. Learn. Sci. Technol.
Yucheol Cho, Guenseok Choi, Gyeongdo Ham, Mincheol Shin, Daeshik Kim
2023 J jnl
Ambiguity-aware robust teacher (ART): Enhanced self-knowledge distillation framework with pruned teacher network.
Pattern Recognit.
Yucheol Cho, Gyeongdo Ham, Jae-Hyeok Lee, Daeshik Kim
2023 J jnl
Burst super-resolution with adaptive feature refinement and enhanced group up-sampling.
Appl. Intell.
Minchan Kang, Woojin Jeong, Sanghyeok Son, Gyeongdo Ham, Dae-Shik Kim
2023 J jnl
Cosine Similarity Knowledge Distillation for Individual Class Information Transfer.
CoRR
Gyeongdo Ham, Seonghak Kim, Suin Lee, Jae-Hyeok Lee, Daeshik Kim
2023 J jnl
Maximizing Discrimination Capability of Knowledge Distillation with Energy-based Score.
CoRR
Seonghak Kim, Gyeongdo Ham, Suin Lee, Donggon Jang, Daeshik Kim
2023 J jnl
Robustness-Reinforced Knowledge Distillation with Correlation Distance and Network Pruning.
CoRR
Seonghak Kim, Gyeongdo Ham, Yucheol Cho, Daeshik Kim
2022 J jnl
A Multiple-State Ion Synaptic Transistor Applicable to Abnormal Car Detection with Transfer Learning.
Adv. Intell. Syst.
Ji-Man Yu, Gyeongdo Ham, Chungryeol Lee, Jae-Hyeok Lee, Joon-Kyu Han, Jin-Ki Kim, Donggon Jang, Nahyun Kim, Moon-Seok Kim, Sung Gap Im, Dae-Shik Kim, Yang-Kyu Choi
2022 J jnl
P-PseudoLabel: Enhanced Pseudo-Labeling Framework With Network Pruning in Semi-Supervised Learning.
IEEE Access
Gyeongdo Ham, Yucheol Cho, Jae-Hyeok Lee, Daeshik Kim