Hello! I’m a PhD student in Electrical and Computer Engineering at UC Santa Barbara, co-advised by Prof. Haewon Jeong and Prof. Yao Qin. Before that, I earned my MS and BS degrees in Electrical and Computer Engineering from Seoul National University, where I was advised by Prof. Jungwoo Lee during my master’s.

I’m passionate about various topics in machine learning, especially in scenarios where data scarcity and/or imbalance makes AI harder to apply effectively. Right now, I’m working on model collapse problem of generative models—an emerging concern for training generative models—and multimodal time-series forecasting for healthcare problems—a challenging setting where aligned multimodal data is extremely rare. They are involved in many real-world problems that require understanding complex data patterns and interpreting the relationships between model architectures and data distribution. Previously, I studied training strategies to address long-tailed distributions.

I love tackling real-world challenges where data is messy, limited, or biased. Always happy to chat about AI, generative models, time-series, multimodal learning, and making ML work in the wild!

Contacts: youngseok_yoon@ucsb.edu

News:

• Jun - Sep 2025: Summer internship at Samsung Research America in Mountain View, CA.
• Nov 2024: Introduced my work about long-tailed classification: Link
• Jul 2024: Introduced my work about model collapse: Link
• Sep 2023: Started my PhD at UC Santa Barbara!

Academic Services:

• Reviewer for ICLR, CVPR, NeurIPS (Top reviewer), WACV 2025.
• Reviewer for SaTML, ECCV 2024.
• Reviewer for NeurIPS 2024 Worshop AIM-FM.