CV

Research Interest

• Time-series Analysis, LLMs, Multimodality, Generative Modeling
• Data Scarcity, Fairness and Robustness of Machine Learning

Education

• Ph.D in Electrical and Computer Engineering, UC Santa Barbara, 2028 (expected)
• M.S. in Electrical and Computer Engineering, Seoul National University, 2023
• B.S. in Electrical and Computer Engineering, Seoul National University, 2020

Work experience

• Spring 2020: Research Intern
  • MakinaRocks, South Korea
  • Supervisor: Dr. Andre S. Yoon, Dr. Kihyun Kim
• Summer 2019: Research Intern
  • MakinaRocks, South Korea
  • Supervisor: Dr. Andre S. Yoon, Dr. Kihyun Kim

Publications

Prototype-based Explanation for Semantic Gap Reduction with Distributional Embedding

Mix from Failure: Confusion-Pairing Mixup for Long-Tailed Recognition

Model Collapse in the Self-Consuming Chain of Diffusion Finetuning: A Novel Perspective from Quantitative Trait Modeling

Group-Wise Verifiable Coded Computing Under Byzantine Attacks and Stragglers

GBMix: Enhancing Fairness by Group-Balanced Mixup

Meta-ensemble learning with a multi-headed model for few-shot problems

Straggler-Exploiting Fully Private Distributed Matrix Multiplication With Chebyshev Polynomials

Chebyshev Polynomial Codes: Task Entanglement-based Coding for Distributed Matrix Multiplication

Teaching

Teaching Assistant, ECE 180, UCSB

Teaching Assistant, ECE 180, UCSB

Teaching Assistant, ECE, SNU

Service and leadership

• Reviewer for ICLR, CVPR 2025
• Reviewer for ECCV 2024
• Reviewer for NeurIPS 2024 Workshop AIM-FM