Artificial Intelligence & Machine Learning Lab. (AIM) 

(formerly Statistical Learning for Signal Processing Lab.) Artificial Intelligence & Machine Learning Lab. was established under the guidance of Professor Chang D. Yoo in 1999, the year he arrived at KAIST. Using various machine learning theories and novel signal processing techniques, signals such as image, text, speech, audio, video, EEG and financial data are processed for longstanding and emerging applications.  


For the Direction to Our Lab, Please Click Here.


 [Lab. Introduction]

  • AI Fairness Research Center Opening Ceremony Admin
  • Our servers. photo by HJ

Recently Accepted Papers

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Haeyong Kang, Gwangsu Kim and Chang D. Yoo, "FEW-SHOT ASSOCIATIVE DOMAIN ADAPTATION FOR SURFACE NORMAL ESTIMATION", The 26th IEEE International Conference on Image Process...
Junyeong Kim, Minuk Ma, Kyungsu Kim, Sunjin Kim, and Chang D. Yoo, " Gaining Extra Supervision via Multi-task learning for Multi-Modal Video Question Answering", Internat...
Junyeong Kim, Minuk Ma, Kyungsu Kim, Sunjin Kim, and Chang D. Yoo, "Progressive Attention Memory Network for Movie Story Question Answering", Computer Vision and Pattern R...
Jongmin Kim, Taesup Kim, Sungwoong Kim, and Chang D. Yoo "Edge-Labeling Graph Neural Network for Few-shot Learning", Computer Vision and Pattern Recognition, 2019

AIM Lab. News

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Ph.D candidate Seungjae Lee successfully passed his Ph.D proposal. Thesis: "Study on Efficient Feature Extraction and Neural Architecture Engineering for Visual Searc...
Ph.D candidate Donghoon Lee successfully passed his Ph.D defense. Thesis: "Learning to Augment Influential Data" Congratulations!
Ph.D candidate Hyunsin Park successfully passed his Ph.D defense. Thesis: "Learnable Gammatone Filterbank and Energy Normalized Gated Convolutional Network for Enviro...
Ph.D candidate Jongmin Kim successfully passed his Ph.D defense. Thesis: "Learning with Edge-labeling Graph: Applications to Image Segmentation and Few-shot Learni...