Ever tried. Ever failed. No matter.
Try again. Fail again. Fail better.
- Samuel Beckett -
The Actionable Intelligence Lab at Korea University aims to develop cutting-edge machine learning and artificial intelligence theories and methods, with the goal of making "better" decisions.
Led by Prof. Changhee Lee, the Actionable Intelligence Lab’s research team is developing a wide range of machine learning approaches including self- and semi-supervised learning, causal inference, automated ML, and many more to address unsolved real-world problems in healthcare, manufacturing, and other domains where critical decision making is the key.
For prospective students: Prof. Lee will be accepting applications from highly motivated MS/Ph.D. students who are interested in solving real-world problems in healthcare.
For post-doctoral researchers: Our group is seeking talented post-doctoral researchers to join our research team on an ambitious multi-year mission to develop cutting-edge ML/AI algorithms to solve real-world problems in healthcare.
Apply via this application form!
Preferred skillsets: Linear algebra / Probability and Statistics / Programming Skills (Python / Tensorflow / Pytorch)
(03/2026) Our paper on AI-based child maltreatment prediction, conducted in collaboration with KICCE, has been accepted for publication in Children and Youth Services Review
(03/2026) Our research on AI-based early detection of cardiac arrest from 119 emergency calls is gaining major media traction!
(03/2026) Our follow-up project on using deep language models for critical care identification in the pediatric ER, in collaboration with Seoul St. Mary’s Hospital, has been accepted for publication in BMC Emergency Medicine. Great work, Minyoung, Dongjoon, and Rhoan :)
(03/2026) Prof. Lee will give a tutorial on deep learning approaches to time-series analysis at the KICS Seminar.
(02/2026) Our lab has been selected as a recipient of the “Advanced GPU Utilization Support Program,” organized by the National IT Industry Promotion Agency (NIPA).
(02/2026) Our paper on deep language model–based early recognition from real-time 911 emergency calls, in collaboration with Seoul St. Mary’s Hospital and Incheon Fire Headquarters, has been accepted for publication in npj Digital Medicine. Great job! Minyoung :)
(01/2026) Our paper on understanding time series data has been accepted to ICLR 2026. Great job! Hwijin and Jaeho :)
(12/2025) Our paper on multimodal few-shot adaptation for survival prediction in glioblastoma, in collaboration with SNU Hospital, has been accepted for publication in Scientific Reports. Great job! Minyoung and Sihyun :)
(12/2025) Our paper on the long-term survival prediction model for patients undergoing invasive coronary angiography, in collaboration with Boramae Medical Center, has been accepted for publication in Heart & Lung. Great job! Hyeryn and Dongjoon :)
(11/2025) Eungyeop has been selected as a recipient of the AI Seoul Tech Scholarship for Graduate Students. Congratulations!
(11/2025) Our paper on risk prediction of major adverse cardiovascular events has been accepted to JMIR Medical Informatics.
(10/2025) Prof. Lee won 3rd place in the 2025 IEEE Transactions on Biomedical Engineering Best Paper Awards!!!
(10/2025) Prof. Lee will give a tutorial on ML for next-generation LEO satellite communications at ICTC 2025.
(10/2025) Prof. Lee will give a talk on the time-series foundation model at the National AI LAB - MILA Workshop.
(09/2025) Prof. Lee will give a talk on global- and local-level interpretation using DL at the CCLAIM Summer School 2025.
(08/2025) Prof. Lee and Jaeho will be organizing the ICAIF ’25 Workshop on Rethinking Financial Time-Series — Foundations, Frontiers, and Future Directions!
(07/2025) Our paper on contrastive learning for text-image retrieval has been accepted to Applied Intelligence. Great job! Eungyeop :)
(05/2025) Our paper on active feature acquisition has been accepted to ICML 2025.
(01/2025) Our paper using NLP to predict risk in the pediatric ER, in collaboration with Seoul St. Mary's Hospital, has been accepted to Scientific Reports. Great job! Chohee and Dongjoon :)
(09/2024) Our paper on contrastive learning-based survival analysis has been accepted to NeurIPS 2024. Great job! Dongjoon & Hyeryn :)
(09/2024) Prof. Lee will give a talk on DL-based feature selection at the CCAIM Summer School 2024.
(08/2024) Prof. Lee will join Korea University as an assistant professor in the Department of Artificial Intelligence starting Sep. 2024!
(07/2024) Our paper on the group-sparse feature selection method has been accepted to IEEE Access. Great job! Hyeryn :)
(07/2024) Our paper on domain-agnostic anomaly detection has been accepted to CIKM 2024. Great job! Hyuntae :)
(05/2024) Our paper on synergistic feature selection has been accepted to ICML 2024. Great job! Chohee :)
(01/2024) Our paper on time-series imputation has been accepted to ICLR 2024. Great job! MinGyu :)
(01/2024) Our paper on Predictive HO with Time-series Forecasting has been accepted to IEEE Network Magzine (Impact Factor: 9.6).
(09/2023) Our paper on active sensing under cost pressure has been accepted to NeurIPS 2023.
(04/2023) Our paper on time-series forecasting using SDEs has been accepted to ICML 2023.
(04/2023) We signed MOU with Incheon Fire Headquarters for the development of the AI System "119 Amigo"
(01/2023) Our paper on temporal clustering has been accepted to AISTATS 2023.
(12/2022) Chohee Kim, Hyuntae Kim, and Dongjoon Lee won the Grand Prize at the 2nd KAMP Contest sponsored by the Ministry of SMEs and Startups!
(11/2022) Our work in collaboration with Aivis and Nuri Eye Hospital won the Grand Prize at Digital Innovation Award 2022!
(07/2022) Our paper on the longitudinal time-to-event analysis and temporal clustering in non-metastatic prostate cancer patients has been accepted to npj Digital Medicine (Impact Factor: 15.357). Again, we are making real clinical impacts!
(01/2022) Our paper on self-supervised learning for feature selection has been accepted to ICLR 2022. We got a spotlight :)
(01/2022) Our paper on predicting good sleep based on physical activity and light exposure has been accepted to the Journal of Clinical Sleep Medicine.
(10/2021) Our paper on treatment effect estimation on time-to-event outcomes has been accepted to NeurIPS 2021.
(08/2021) I have joined Chung-Ang University (Department of Artificial Intelligence) as an assistant professor starting on Sep. 1st, 2021.
(01/2021) Our paper on applying AutoML for time-to-event analysis in non-metastatic prostate cancer patients has been accepted to the Lancet Digital Health (Impact Factor: 36.615). We are making real clinical impacts!
(01/2021) Our paper on integrating multi-omics data under various omics-missing patterns has been accepted to AISTATS 2021.
(11/2020) Our paper on applying temporal clustering to Stage III breast cancer patients has been accepted to IEEE Transactions on Biomedical Engineering.
(06/2020) Our paper on temporal clustering of heterogeneous disease progression patterns has been accepted to ICML 2020.