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.  


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 [Lab. Introduction]

AIM Lab. News

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The proceedings of the IWDW 2018 were published on the Digital Forensics and Watermarking (Springer LNCS volume 11378, Feb. 2019). more information: https://link....
The master students in our AIM lab(Jaewon Lee, and Kangmin Bae) graduates in this February. Congratulations to all graduating students!!
In this spring semester of this year, AIM lab has 2 new master students. Welcome to our AIM lab!!
International Workshop on Digital Forensic and Watermarking (IWDW) 2018 took place 22-24 Oct, 2018, in the Maison Glad, Jeju, Korea. Professor Chang D. Yoo was served...

Recently Accepted Papers

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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...
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
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...
Kangmin Bae, Minuk Ma, Hyunjun Jang, Minjeong Ju, Hyoungwoo Park, and Chang D. Yoo, "ImaGAN: Unsupervised Training of Conditional Joint CycleGAN for Transferring Style wit...