We are Data Science & Artificial Intelligence Lab (DSAIL) at KAIST led by Prof. Chanyoung Park. Due to the recent expansion of social media and online communities, online platforms in the digital economy are inundated with vast amounts of usergenerated multimodal (heterogeneous) data from various sources, which can be categorized into structured (e.g., graphs such as social network) and unstructured data (e.g., text, image, video, and audio). When properly analyzed, such multimodal data can be a valuable asset to the companies, but it is challenging not only due to the difficulty in extracting meaningful information from the inherently sparse and noisy data, but also in combining and customizing the extracted knowledge from different modalities with different statistical properties to facilitate various target applications.
Our goal is to mine meaningful knowledge from multimodal data, and develop artificial intelligence solutions for various real-world applications across different disciplines. Two underlying themes of our research are:
Our main research interests include Data-centric AI, Machine Learning, Deep Learning, Multi-modal Data Mining, and their applications including but not limited to the following:
If you’re interested in joining our lab, send an email with your interests, CV, and transcript to cy.park (at) kaist.ac.kr.
Two papers got accepted at CIKM 2024.
July 2024Two papers got accepted at ECCV 2024.
July 2024Junseok started as a visiting Ph.D student at University of Texas Health Science Center at Houston (UTHealth), USA.
June 2024Kanghoon started a research internship at Qualcomm AI, USA.
May 2024Two papers got accepted at KDD 2024.
May 2024A paper got accepted at ICML 2024.
April 2024We are looking for interns to join our group during this Summer break (8 weeks).
April 2024A paper got accepted at Briefings in Bioinformatics.
April 2024Yeonjun started a research internship at Adobe Research, USA.