Hi, I’m Jingeun Kim, Computer Science Ph.D. student at Gachon University, advised by Prof. Yourim Yoon. I recieved B.S & M.S. in Computer Engineering at Gachon University.
My research primarily focuses on developing efficient machine learning frameworks. Specifically, I aim to explore efficient models using neural architecture search based on genetic algorithms. Furthermore, I am currently working on model compression, particularly pruning, using genetic algorithms for CNN-based models and pre-trained language models.
Feel free to reach out if you’d like to chat or collaborate with me.
News
[2025. Sep] “From Forecast to Action: Uncertainty-Aware UAV Deployment for Ocean Drifter Recovery” has been accepted at CIKM Workshop on Spatio-Temporal Data Intelligence and Foundation Models 2025
[2025. May] “Pruning for Efficient DenseNet via Surrogate-Model-Assisted Genetic Algorithm considering Neural Architecture Search Proxies” has been accepted at Swarm and Evolutionary Computation!
[2025. Mar] “Sparse Transformer for Long-term Forecasting via Genetic Algorithm” has been accepted at the GECCO 2025 poster session! I will attend GECCO 2025 as an online presenter.
