Published 'PTCMIL: Multiple Instance Learning via Prompt Token Clustering for Whole Slide Image Analysis' at MICCAI 2025
Published 'Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion Models' at ICLR 2025
Published 'BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization' at EMNLP 2024 Findings
Published 'FedSoL: Stabilized Orthogonal Learning in Federated Learning' at CVPR 2024
Published 'Towards Unbiased Evaluation of Detecting Unanswerable Questions in EHRSQL' at ICLR 2024 Workshop
Published 'FedSoL: Bridging Global Alignment and Local Generality in Federated Learning' at NeurIPS 2023 Workshop
Published 'Re-thinking Federated Active Learning based on Inter-class Diversity' at CVPR 2023
Won 1st place (Outstanding Award, 1/102) at NeurIPS 2022 Challenge CellSeg with project 'MEDIAR: harmony of data-centric and model-centric for multi-modality microscopy'
Published 'LG-FAL: Federated Active Learning Strategy using Local and Global Models' at ICML 2022 Workshop
Research Experience
Assistant Professor, Department of Artificial Intelligence, Chungnam National University (2024.09–present)
Postdoctoral Researcher, University of British Columbia (2023.08–2024.06), focus on Medical Image Analysis
Research Intern, KT (2020.05–2020.09), implemented simulation of COVID virus spread
Research Intern, Naver Corp (2018.09–2019.02), contributed to NSML, a deep learning cloud platform developed by CLOVA AI Research
Software Engineer, Ouniwang (2015.09–2016.12), worked on database management, RESTful API development, and back-end development
Software Engineer, AskStory (2014.02–2015.08), handled back-end development, database management, and Android & IoT development
Intern, AhnLab (2013.03–2013.08), engaged in web development and security report creation