Donggeun Sean Ko
Hello! Welcome to my homepage :).
I am currently working as a Research Engineer in AiM Future AI. Previously, I majored in Applied Artificial Intelligence graduate student @ Sungkyunkwan University, researching in MAIN Lab, advised by Prof. Jaekwang Kim. I also was a SKT AI Fellowship member (4th generation) with SKT Supernova team in 2022. I received my B.S degree in Molecular Biotechnology @ Ghent University Global Campus and wrote my bachelor thesis under the supervision of Dr. Utku Ozbulak and Prof. Wesley De Neve. My major research interest lies but is not limited to computer vision, generative model, quantization & pruning and LLMs.
You can find my CV here.
If you have any inquiries, feel free to contact me through my email.
Nov 3, 2023 A patent “순차적 추천을 위한 계층적 대조 학습 방법 및 계층적 대조 학습 장치” have been filed in Korea.
Reviewer
- BMVC 2025
- KDD 2024
- CIKM 2024
news
| Mar 26, 2025 | Our work won 3rd place in the 6th Thermal Image Super-Resolution Challenge (TISRC) - Track 1, in the 21st IEEE Workshop on Perception Beyond the Visible Spectrum (PBVS) at CVPR 2025. The code is open-sourced in here. |
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| Mar 26, 2025 | Our paper Debiasing Classifiers by Amplifying Bias with Latent Diffusion and Large Language Models is accepted at ACM SAC 2025. I will be presenting the paper at the conference in Sicily, Italy, in April 2nd, 2025. The arXiv version can be found here. |
| Mar 25, 2024 | Our paper DiffInject: Revisiting Debias via Synthetic Data Generation using Diffusion-based Style Injection is accepted at CVPR 2024 Workshop SynData4CV. |
| Mar 25, 2024 | Our paper “Retrieval-Based Disease Prediction for Myocardial Injury after Noncardiac Surgery: Leveraging Language Models as Diagnostic Tools” is accepted at AAAI 2024 Spring Symposium on Clinical Foundation Models |
| Nov 3, 2023 | A patent “순차적 추천을 위한 계층적 대조 학습 방법 및 계층적 대조 학습 장치” have been filed in Korea. |