Regular biography
Se Young Yun is a faculty member in the Graduate School of AI at KAIST. They are affiliated with the OSI lab and lead research efforts in the field. Their work is associated with the Kim Jaechul Graduate School of AI. For more information, visit their group homepage or contact them via email at yunseyoung@kaist.ac.kr.
Scholar-generated biography
Se Young Yun is a researcher at KAIST with a focus on machine learning. Their work explores various aspects of machine learning, including federated learning, knowledge distillation, and representation learning. They have published on topics such as improving representation in federated image classification, enhancing large language models through distillation, and developing methods for few-shot learning. Additionally, they have contributed to research on self-contrastive learning, mix-up contrastive learning, and community detection in stochastic block models. Their research also extends to explainable hate speech detection and curriculum-based data augmentation for long-tailed recognition.