[2026.01] Our research on tabular feature engineering was featured in the KIISE newsletter [link].
[2026.01] Two undergraduate students and one intern joined DAIS Lab
2024 ~ 2025
[2025.12] Susik gave a talk at Korea Software Congress 2025
[2025.11] Papers on continual retrieval, community search, and heterogeneous network accepted to KDD 2026, SIGMOD 2026, and WSDM 2026, respectively
[2025.11] Susik received the outstanding lecture award (Data Science) from Korea University
[2025.10] Susik gave a talk at LG Electronics
[2025.10] Susik will serve as an area chairs for ACL Rolling Review and KDD 2026
[2025.10] DAIS Lab won the second prize in the poster presentation at AI Tech Day at Korea University
[2025.09] A paper on traffic forecasting accepted to KBS 2025
[2025.09] One undergraduate student continued to graduate studies
[2025.08] A paper on multi-level evaluation for feature engineering with LLM accepted to EMNLP 2025
[2025.08] Woojun won the Master’s Research Fellowship from the National Research Foundation of Korea
[2025.08] Susik gave talks at Samsung Display and VAIV Company
[2025.07] Three undergraduate students joined DAIS Lab
[2025.06] Yoonhwan and Hyunwoong won the best paper award at Korea Computer Congress 2025 (with UNIST)
[2025.06] Susik gave a talk at LG Electronics
[2025.05] A paper on the networked time series accepted to KDD 2025
[2025.04] A paper on the tabular embedding accepted to SIGIR 2025
[2025.03] Six undergraduate students continued to graduate studies
[2025.02] Susik will serve as an Area Chair for KDD 2025 Applied Data Science Track
[2025.01] Four undergraduate students joined DAIS Lab
[2024.12] Woojun won the runner-up award in the Capstone Design Competition at Korea University
[2024.12] Susik received the Seoktop lecture award (Data Science) from Korea University
[2024.11] Susik gave a talk at Chung-Ang University
[2024.10] Susik gave talks at AI Tech Day at Korea University and Kongju National University
[2024.10] A paper on continual coreness prediction (with UNIST) received the best paper award (silver prize) at KDBC 2024
[2024.09] A paper on time series segmentation accepted to NeurIPS 2024
[2024.07] Twelve undergraduate students, one researcher, and one master student joined DAIS Lab
[2024.07] A paper on the clique problem accepted to CIKM 2024
[2024.06] Susik gave a talk at CHA Medical School and Korea Computer Congress 2024
[2024.06] We presented two undergraduate poster papers (with one best paper award) at Korea Computer Congress 2024
[2024.05] A paper on online concept drift detection accepted to KDD 2024
[2024.05] Susik had an interview with the ICT Creative Consilience Program at Korea University (Link(Korean))
[2024.05] A paper on adaptive prompt tuning for continual learning accepted to ICML 2024
[2024.04] Two undergraduate students joined DAIS Lab
[2024.03] DAIS Lab at Korea University opened 🎉
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 (un)structured 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, metadata, weak labels)
Semi/weakly-supervised learning, Active learning, Knowledge base, Fake detection
See our [publications] for the full list of previous research papers.