Suhyun Kim is a Principal Researcher leading the Efficient AI research group at KIST, Korea's premier national research institute. His current research focuses on accelerating neural networks and understanding how these models learn.In the area of network acceleration, he is particularly interested in neural network pruning methods and knowledge distillation. Additionally, his research interest encompasses model inversion, data augmentation, adversarial attack and defense, continual learning, federated learning, fairness, and other related topics.Since 2020, he has published three papers at NeurIPS, one at ICLR, one at ICCV, and five at AAAI.https://dblp.org/pid/45/6898.html