Hi, I’m Saebyeol, Computer Science Ph.D. student at Cornell University, advised by Prof. Kilian Q. Weinberger.
Previously I interned at Visual Informatics Group @ University of Texas at Austin (VITA), advised by Prof. Zhangyang “Atlas” Wang. I recieved B.S in Computer Science and Engineering & B.S. in Data Science at Sungkyunkwan University (SKKU).
My first name is pronounced "Seh-B-yul (where 'Seh' is like 'set' and 'B-yul' is a soft 'b' followed by 'yul')" []
Feel free to reach out if you'd like to chat or collaborate with me.
News
[2025.Jan] "Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond" has been accepted at ICLR 2025! 🥳
[2024.Aug] I began pursuing my Ph.D. in Computer Science at Cornell University! 🌟
[2024.Mar] "Unveiling the Intertwined Relationship Between Essential Sparsity and Robustness in Large Pre-trained Models" has been accepted at Data-centric Machine Learning Research (DMLR) Workshop at ICLR 2024! 🥳
[2023.Oct] "Real-Time User-guided Adaptive Colorization with Vision Transformer" has been accepted at WACV 2024! 🥳
[2023.Aug] I graduated from SKKU with honors, Summa Cum Laude! 🥳
[2023.Jul] I joined Visual Informatics Group (VITA) @ UT Austin to work with Prof. Atlas Wang, Ajay Jaiswal, Shiwei Liu. 🌟
[2022.Dec] "A-ColViT: Real-time Interactive Colorization by Adaptive Vision Transformer" has been accepted at AAAI 2023 International Workshop on Practical Deep Learning in the Wild with AAAI-23 Student Scholarship! 🥳
[2022.Nov] Team SKeTchbook won a Grand Prize at SKT AI Fellowship! 🥳
[2022.Oct] Will attend CIKM 2022 in-person with SIGIR Student Travel Grants for CIKM 2022. Please reach out if you'll be there 🖐
[2022.Aug] "Accelerating CNN via Dynamic Pattern‑based Pruning Network" has been accepted for presentation at the CIKM 2022! 🥳
[2022.Jun] I joined the SKT AI Fellowship to work on the project "Developing deep learning model for colorizing old monochrome images." I am glad to collaborate with Gwanghan Lee and Donggeun Ko as part of Team "SKeTchbook", mentored by Jiyeon Jung. 🌟
[2021.Oct] "VFP290K: A Large‑Scale Benchmark Dataset for Vision‑based Fallen Person Detection" has been accepted for presentation at the NeurIPS 2021 Benchmark and Dataset Track! 🥳
[2024.Aug] I began pursuing my Ph.D. in Computer Science at Cornell University! 🌟
[2024.Mar] "Unveiling the Intertwined Relationship Between Essential Sparsity and Robustness in Large Pre-trained Models" has been accepted at Data-centric Machine Learning Research (DMLR) Workshop at ICLR 2024! 🥳
[2023.Oct] "Real-Time User-guided Adaptive Colorization with Vision Transformer" has been accepted at WACV 2024! 🥳
[2023.Aug] I graduated from SKKU with honors, Summa Cum Laude! 🥳
[2023.Jul] I joined Visual Informatics Group (VITA) @ UT Austin to work with Prof. Atlas Wang, Ajay Jaiswal, Shiwei Liu. 🌟
[2022.Dec] "A-ColViT: Real-time Interactive Colorization by Adaptive Vision Transformer" has been accepted at AAAI 2023 International Workshop on Practical Deep Learning in the Wild with AAAI-23 Student Scholarship! 🥳
[2022.Nov] Team SKeTchbook won a Grand Prize at SKT AI Fellowship! 🥳
[2022.Oct] Will attend CIKM 2022 in-person with SIGIR Student Travel Grants for CIKM 2022. Please reach out if you'll be there 🖐
[2022.Aug] "Accelerating CNN via Dynamic Pattern‑based Pruning Network" has been accepted for presentation at the CIKM 2022! 🥳
[2022.Jun] I joined the SKT AI Fellowship to work on the project "Developing deep learning model for colorizing old monochrome images." I am glad to collaborate with Gwanghan Lee and Donggeun Ko as part of Team "SKeTchbook", mentored by Jiyeon Jung. 🌟
[2021.Oct] "VFP290K: A Large‑Scale Benchmark Dataset for Vision‑based Fallen Person Detection" has been accepted for presentation at the NeurIPS 2021 Benchmark and Dataset Track! 🥳