Mix from Failure: Confusion-Pairing Mixup for Long-Tailed Recognition
Published in arXiv, 2024
Youngseok Yoon, Sangwoo Hong, Hyungjoon Joo, Yao Qin, Haewon Jeong, Jungwoo Lee
Publications
You can also find my articles on my Google Scholar profile.
arXiv Papers
Model Collapse in the Self-Consuming Chain of Diffusion Finetuning: A Novel Perspective from Quantitative Trait Modeling
Published in arXiv, 2024
Youngseok Yoon, Dainong Hu, Iain Weissburg, Yao Qin, Haewon Jeong
Conference Papers
Chebyshev Polynomial Codes: Task Entanglement-based Coding for Distributed Matrix Multiplication
Published in ICML, 2021
Sangwoo Hong, Heecheol Yang, Youngseok Yoon, Taehyun Cho, Jungwoo Lee
Journal Articles
Prototype-based Explanation for Semantic Gap Reduction with Distributional Embedding
Published in IEEE Access, 2025
Hyungjoon Joo, Sangwoo Hong, Hyeonggeun Han, Youngseok Yoon, Jungwoo Lee
Group-Wise Verifiable Coded Computing Under Byzantine Attacks and Stragglers
Published in IEEE Transactions on Information Forensics and Security, 2024
Sangwoo Hong, Heecheol Yang, Youngseok Yoon, Jungwoo Lee
GBMix: Enhancing Fairness by Group-Balanced Mixup
Published in IEEE Access, 2024
Sangwoo Hong, Youngseok Yoon, Hyungjun Joo, Jungwoo Lee
Meta-ensemble learning with a multi-headed model for few-shot problems
Published in ICT Express, 2023
Seokhyeon Ha, Youngseok Yoon, Jungwoo Lee
Straggler-Exploiting Fully Private Distributed Matrix Multiplication With Chebyshev Polynomials
Published in IEEE Transactions on Communications, 2023
Sangwoo Hong, Heecheol Yang, Youngseok Yoon, Jungwoo Lee