I earned my BS degree in Computer Science and Data Science at the University of Wisconsin-Madison, and I am currently pursuing my PhD in AI at SNU.
I am broadly interested in reinforcement learning, deep learning, model compression/optimization, and hyper-scale AI. The main objective of my study is to build a reliable, efficient, and expansive AI/ML system for sustainable development.
2023.02.22[논문분석] AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models AIPaperLightWeight AlphaTuning Model Compression Pruning Quantization
2023.02.20[강화학습] Q-Learning 이해하기 RL Q-Learning Reinforcement Learning
2023.02.17Self/Semi-supervised Learning for Scene Text Recognition Others Scene Text Recognition Self/Semi Supervised Learning
2023.02.15DenseNet, SqueezeNet, MobileNet 이해하기 LightWeight DenseNet MobileNet Quantization SqueezeNet
2023.02.14Meta, Transfer, Multi-task, Continual Learning 차이 LightWeight Continual Learning Meta Learning Multi-task Learning Transfer Learning
2023.02.14[논문분석] Teaching Assistant Knowledge Distillation AIPaperLightWeight Knowledge Distillation Light-weight Model Compression
2023.02.13Quantization 기본기 다지기 LightWeight Non-uniform PTQ QAT Quantization Uniform