Jaemyung Yu
Scholar

Jaemyung Yu

Google Scholar ID: PYXTN_QAAAAJ
NAVER AI Lab
representation learning
Citations & Impact
All-time
Citations
22
 
H-index
1
 
i10-index
1
 
Publications
2
 
Co-authors
6
list available
Resume (English only)
Academic Achievements
  • Supervised Dimension Contrastive Learning (Under Review)
  • Efficient Multi-View 3D Representation via View-Agnostic Single-View Transformations (Under Review)
  • IMSE: Intrinsic Mixture of Spectral Experts Fine-tuning for Test-Time Adaptation (Under Review)
  • Frequency-Aware Token Reduction for Efficient Vision Transformer (Under Review)
  • PRISM: Video Dataset Condensation with Progressive Refinement and Insertion for Sparse Motion (arXiv 2025)
  • FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition (Interspeech 2025)
  • Self-supervised Transformation Learning for Equivariant Representations (NeurIPS 2024)
  • Camera Distortion-aware 3D human Pose Estimation in Video with Optimization-based Meta-Learning (ICCV 2021)
Background
  • Research Interests: My research focuses on understanding and designing representation learning frameworks that are generalizable, interpretable, and controllable. I aim to develop representations that generalize across diverse tasks and domains, are interpretable to support meaningful insights and decisions, and are controllable to enable direct manipulation for various applications.