Scholar
Saebyeol Shin
Google Scholar ID: g9PjLdUAAAAJ
Cornell University
Citations & Impact
Citations
48
H-index
4
i10-index
3
Publications
8
Co-authors
7
list available
Resume (English only)
Academic Achievements
- Jan 2025: 'Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond' accepted at ICLR 2025!
- Mar 2024: 'Unveiling the Intertwined Relationship Between Essential Sparsity and Robustness in Large Pre-trained Models' accepted at DMLR Workshop at ICLR 2024!
- Oct 2023: 'Real-Time User-guided Adaptive Colorization with Vision Transformer' accepted at WACV 2024!
- Dec 2022: 'A-ColViT: Real-time Interactive Colorization by Adaptive Vision Transformer' accepted at AAAI 2023 International Workshop on Practical Deep Learning in the Wild with AAAI-23 Student Scholarship!
- Aug 2022: 'Accelerating CNN via Dynamic Pattern-based Pruning Network' accepted for presentation at CIKM 2022!
- Oct 2021: 'VFP290K: A Large-Scale Benchmark Dataset for Vision-based Fallen Person Detection' accepted for presentation at NeurIPS 2021 Benchmark and Dataset Track!
Research Experience
- Interned at Visual Informatics Group (VITA) @ University of Texas at Austin, advised by Prof. Zhangyang “Atlas” Wang.
Education
- Ph.D. student in Computer Science at Cornell University, advised by Prof. Kilian Q. Weinberger; B.S. in Computer Science and Engineering & B.S. in Data Science from Sungkyunkwan University (SKKU).
Background
- Ph.D. student in Computer Science, with research interests in computer vision and machine learning.
Miscellany
- First name pronounced as 'Seh-B-yul' (where 'Seh' is like 'set' and 'B-yul' is a soft 'b' followed by 'yul').
