Gyeongdo Ham

According to our database, Gyeongdo Ham authored at least 9 papers between 2022 and 2024.

Collaborative distances:

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

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

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

Seonghak Kim, Gyeongdo Ham, Yucheol Cho, 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