Research output per year
Research output per year
Personal profile
Education
o (1997) B.S., KAIST
o (1999) M.S., KAIST
o (2005) Ph.D., KAIST
o (1999) M.S., KAIST
o (2005) Ph.D., KAIST
Professional Experience
o (Sept. 2022–Present) Professor, KAIST, Daejeon
o (Mar. 2014–Aug. 2022) Associate Professor, KAIST, Daejeon
o (Dec. 2010–Feb. 2014) Assistant Professor, KAIST, Daejeon
o (Sept. 2008–Nov. 2010) Postdoctoral Research Staff, IBM Almaden Research Center, San Jose
o (July 2006–Aug. 2008) Postdoc Research Associate, University of Illinois at Urbana-Champaign, Urbana
o (Mar. 2014–Aug. 2022) Associate Professor, KAIST, Daejeon
o (Dec. 2010–Feb. 2014) Assistant Professor, KAIST, Daejeon
o (Sept. 2008–Nov. 2010) Postdoctoral Research Staff, IBM Almaden Research Center, San Jose
o (July 2006–Aug. 2008) Postdoc Research Associate, University of Illinois at Urbana-Champaign, Urbana
Research interests
Data-Centric AI, Mobility and Stream Data Mining, Deep Learning-based Big Data Analysis, Distributed Deep Learning
Major Research Achievements
o Trajectory Clustering: A Partition-and-Group Framework
o Joins on Encoded and Partitioned Data
o A Superfast Parallel DBSCAN Algorithm Based on Random Partitioning
o Learning From Noisy Labels With Deep Neural Networks
o Deep Learning Approach to Predict Inbound COVID-19 Patients and Case Study in South Korea
o Joins on Encoded and Partitioned Data
o A Superfast Parallel DBSCAN Algorithm Based on Random Partitioning
o Learning From Noisy Labels With Deep Neural Networks
o Deep Learning Approach to Predict Inbound COVID-19 Patients and Case Study in South Korea
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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ACTIVE LEARNING FOR CONTINUAL LEARNING: KEEPING THE PAST ALIVE IN THE PRESENT
Park, J., Park, D. & Lee, J. G., 2025, 13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, p. 58771-58790 20 p. (13th International Conference on Learning Representations, ICLR 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Adversarial Style Augmentation via Large Language Model for Robust Fake News Detection
Park, S., Han, S., Xie, X., Lee, J. G. & Cha, M., 28 Apr 2025, WWW 2025 - Proceedings of the ACM Web Conference. Association for Computing Machinery, Inc, p. 4024-4033 10 p. (WWW 2025 - Proceedings of the ACM Web Conference).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access11 Scopus citations -
Bi-Modal Learning for Networked Time Series
Nam, Y., Na, J., Yoon, S., Song, H., Lee, J. G. & Lee, B. S., 3 Aug 2025, KDD 2025 - Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 2162-2173 12 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 2).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Large language models are zero-shot point-of-interest recommenders
Kim, J., Seo, Y., Kim, Y., Kang, J., Shin, J., Trirat, P. & Lee, J. G., Nov 2025, In: Data Mining and Knowledge Discovery. 39, 6, 80.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Leveraging Smartphone Human Interaction Routine Behavior Task Mining and Modeling for Daily Stress Monitoring
Lee, H., Park, T., Koh, Y., Lee, J. G. & Lee, U., 2025, In: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 9, 4, 187.Research output: Contribution to journal › Article › peer-review
Open Access
Press/Media
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Researchers from Korea Advanced Institute of Science and Technology (KAIST) Report Details of New Studies and Findings in the Area of Telemedicine (Nanogenerators for Flexible and Wearable Electronics Toward Healthcare Applications)
Lee, K., Lee, J. W. & Lee, J.-G.
20/03/25
1 item of Media coverage
Press/Media
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Reports on Phototherapy Findings from Korea Advanced Institute of Science and Technology (KAIST) Provide New Insights (Human-centric, Three Dimensional Micro Light-emitting Diodes for Cosmetic and Medical Phototherapy)
Lee, K., Lee, J. W., Park, S. P., Seo, M., Lee, J.-G., Lee, H.-S., Park, S. & Park, S.-H.
17/03/25
1 item of Media coverage
Press/Media
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AI Algorithms for Real-Time Analysis of Wearable Blood Pressure Sensor Data
Lee, K., Lee, J. W. & Lee, J.-G.
6/03/25
1 item of Media coverage
Press/Media
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AI Wearable Sensor for Blood Pressure Monitored
Lee, K., Lee, J. W., Lee, J.-G. & Lee, H.-S.
5/03/25
1 item of Media coverage
Press/Media
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AI-Driven Wearable Blood Pressure Sensor for Continuous Health Monitoring – Published in Nature Reviews Cardiology
Lee, K., Lee, J. W., Lee, J.-G. & Lee, H.-S.
5/03/25
1 item of Media coverage
Press/Media