DSAIL character

Welcome!

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.

Research Area

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:

  1. Representation: How can we extract knowledge from different modalities of data and represent them in a unified way such that the relations among different modalities are captured, and the synergy within the multimodality is facilitated?
  2. Fusion: How can we combine the extracted knowledge and customize it to facilitate various underlying target applications?

Our main research interests include Data Mining, Machine Learning, Deep Learning, and Artificial Intelligence, and their applications including but not limited to the following:

  • Graph representation learning (e.g., Self-supervised Learning, Semi-supervised Learning)
  • Graph Neural Networks for Chemistry / Bioinformatics
  • Graph Neural Networks Molecular Design and Drug discovery
  • Node classification / Link prediction on Graphs
  • Recommendation system
  • Social network analysis
  • Graph Mining
  • AI for Finance
  • Fraud detection
  • Sentiment analysis
  • Purchase/Click prediction
  • Anomaly detection
  • Knowlede-graph construction
  • Time-series and spatio-temporal anlaysis,
  • etc…

Interested?

If you’re interested in joining our lab, send an email with your interests, CV, and transcript to cy.park (at) kaist.ac.kr.

News

August 2022

Three papers got accepted at CIKM 2022.

June 2022

Sangwoo Seo, Sein Kim, Jihyeong Jung joined our lab and will be pursuing a Ph.D/Master's degree starting from Fall 2022.

June 2022

Nine undergarduate interns joined our lab (Heewoong Noh, Jeehong Kim, Jaehyeong Jeon, Kyuhyeok Seo, Sangmin Lee, Jinyoung Hong, Youngro Kim, Seonghun Hong, Juheon Han).

May 2022

A paper got accepted at KDD 2022.

April 2022

Two papers got accepted at SIGIR 2022.

December 2021

Seven undergarduate interns joined our lab (Daeyoung Kim, Han Kim, Jongbok Lee, Junmo Lee, Suyeon Lee, Jaewon Jung, Hoyoung Choi).

December 2021

Wonjung Kim, Seungyoon Choi, Sungwon Kim joined our lab and will be pursuing a Master's degree starting from Spring 2022.

December 2021

A paper got accepted at AAAI 2022.

September 2021

A paper got accepted at ICDM 2021.

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