Gyeongdo Ham

According to our database, Gyeongdo Ham authored at least 11 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

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

Maximizing discrimination capability of knowledge distillation with energy function.

Seonghak Kim, Gyeongdo Ham, Suin Lee, Donggon Jang, Daeshik Kim

Knowl. Based Syst., 2024

Difficulty level-based knowledge distillation.

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

Neurocomputing, 2024

2023

Burst super-resolution with adaptive feature refinement and enhanced group up-sampling.

Minchan Kang, Woojin Jeong, Sanghyeok Son, Gyeongdo Ham, Dae-Shik Kim

Appl. Intell., December, 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

Maximizing Discrimination Capability of Knowledge Distillation with Energy-based Score.

Seonghak Kim, Gyeongdo Ham, Suin Lee, Donggon Jang, Daeshik Kim

CoRR, 2023

Cosine Similarity Knowledge Distillation for Individual Class Information Transfer.

Gyeongdo Ham, Seonghak Kim, Suin Lee, Jae-Hyeok Lee, Daeshik Kim

CoRR, 2023

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, 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

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