Alumni

Former Ph.D. Students

Hyundong Jin (Ph.D., 2026)
Thesis: Knowledge Association and Differentiation for Efficient Continual Learning

Former M.S. Students

Hayun Lee (M.S., 2026)
Thesis: Learning When to Learn: Complexity-Aware Learning Scheduling for Continual Learning

Jian Son (M.S., 2025)
Thesis: 3D Human Pose Estimation with an Anatomical Graph Transformer

Nayoung Ko (M.S., 2025)
Thesis: MC-Seg: Mitigating Class Confusion in Class-incremental Semantic Segmentation

Hyunjoon Koo (M.S., 2025)
Thesis: Dual-Branch Scale Disentanglement for Text-Video Retrieval

Sejun Hong (M.S., 2024)
Thesis: NeRF-DA: Neural Radiance Fields Deblurring with Active Learning

Sujin Choi (M.S., 2023)
Thesis: Task-Specific Dynamic Model Compression for Multi-Task Learning

Chanjong Park (M.S., 2023)
Thesis: Self-Supervised Learning with Automatic Data Augmentation for Enhancing Representation

Changseong Kim (M.S., 2023)
Thesis: Task-specific Gating Mechanism for Heterogeneous Tasks

Gyeonghyeon Kim (M.S., 2023)
Thesis: Temporal Action Segmentation with Alleviating Local Context Fading

Hyundong Jin (M.S., 2022)
Thesis: Continual Learning without Negative Interference in a Deep Neural Network

Wonhee Cho (M.S., 2022)
Thesis: Improving Augmentation Efficiency for Few-Shot Learning

Soyeon Park (M.S., 2022)
Thesis: Resource-Efficient Multi-Task Deep Learning Using a Multi-Path Network

Former Undergraduate Students