Data & Adaptive Intelligence Systems Lab
Korea University
Mission
Empower innovation through data-driven insights, fostering intelligence systems with adaptive capabilities
Image created by DALL·E
Interested in joining the team? Check out how to join and contact us via susik{@}korea.ac.kr
📰 News
2024.05 Â A paper of adaptive prompt tuning for continual learning accepted to ICML 2024Â
2024.04Â Youngwoo and Hyeongu joined DAIS Lab as undergraduate interns
2024.03 DAIS Lab at Korea University has been founded 🎉
📋Research Area
We are interested in broad topics in Data Science (DS) and Artificial Intelligence (AI). We identify real-world challenges with significant practical impacts and address them through DS/AI methodologies by leveraging {Evolving, (Un)structured data} X {Foundation models} X {Human-curated knowledge}.
Examples of research topics include, but are not limited to,
DS and AI methodologies
Data mining, Machine learning, Deep learning, Multi-modal learning
Anomaly detection, Classification, Clustering, Recommendation, Summarization
Learning from evolving data
Real-time machine learning, Continual learning, Data stream mining, Time-series mining, Concept drift adaptation
Learning from unstructured data
Natural Language Processing, Text mining, Information retrieval, Knowledge structuration, Representation learning
Exploiting Foundation models (i.e., pretrained language, vision, multimodal models)
Retrieval-augmented generation, Prompt tuning, Model adaptation
Exploiting human-curated knowledge (i.e., Knowledge base, weak label)
Semi/weakly-supervised learning, Active learning, Knowledge base, Fake detection
See our [publications]