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 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]  [연구실 홍보 동영상]

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

Recently Accepted Papers

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Thanh Nguyen*, Tung Luu*, Thang Vu, Chang Yoo, "Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model", The 202...
Sunjae Yoon*, Dahyun kim*, Ji Woo Hong, Junyeong Kim, Kookhoi Kim, Chang D. Yoo, "WEAKLY-SUPERVISED MOMENT RETRIEVAL NETWORK FOR VIDEO CORPUS MOMENT RETRIEVAL" The 28th IE...
Kiran Ramnath, Leda Sari, Mark Hasegawa-Johnson and Chang Yoo "Worldly Wise (WoW) - Cross-Lingual Knowledge Fusion for Fact-based Visual Spoken-Question Answering", Annual...
John Harvill, Dias Issa, Mark Hasegawa-Johnson, Chang D. Yoo, "Synthesis of New Words for Improved Dysarthric Speech Recognition on an Expanded Vocabulary", The Internatio...

AIM Lab. News

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Congratulations. AIM Lab is now carrying out the 2021 SW-STAR Lab Project.This year, 6 Labs including AIM Lab are selected as the national research project lab "software S...
Congratulation! Junyeong Kim (Ph.D) from our lab got a Best Paper Award from the EE Department as a Ph.D graduation!
Ph.D & MS Candidates for Fall Semester, 2021 AIM would like to welcome all students who are interested in joining the lab. Feel free to send an e-mail to Professor or ...
Ph.D candidate Junyoeng Kim successfully passed his Ph.D defense. Thesis: "Deep Learning Approaches for Multimodal Video Question Answering" Congratulations!