Research output per year
Research output per year
Fingerprint
Dive into the research topics where Seoung Bum Kim is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
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
-
Domain Generalization Through Domain-Expert Risk Assessment
Jeong, J., Kahng, H. & Kim, S. B., 2026, Advances and Trends in Artificial Intelligence. Theory and Applications - 38th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2025, Proceedings. Fujita, H., Watanobe, Y., Ali, M. & Wang, Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 68-73 6 p. (Lecture Notes in Computer Science; vol. 15706 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
-
DynaMIX: Sample-Efficient Multi Agent Reinforcement Learning with Multi-step Temporal Forward Dynamics Modeling
Kim, J. I. & Kim, S. B., 2026, Advances and Trends in Artificial Intelligence. Theory and Applications - 38th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2025, Proceedings. Fujita, H., Watanobe, Y., Ali, M. & Wang, Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 188-193 6 p. (Lecture Notes in Computer Science; vol. 15706 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
-
Guided by Uncertainty: Semi-supervised Domain Adaptation with Curriculum and Contrastive Learning
Hwang, S. & Kim, S. B., 2026, Advances and Trends in Artificial Intelligence. Theory and Applications - 38th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2025, Proceedings. Fujita, H., Watanobe, Y., Ali, M. & Wang, Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 323-328 6 p. (Lecture Notes in Computer Science; vol. 15706 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
-
Impact of Replay Ratios on Performance and Efficiency in Continual Learning for Skeleton-Based Action Recognition
Ahn, S. & Kim, S. B., 2026, Advances and Trends in Artificial Intelligence. Theory and Applications - 38th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2025, Proceedings. Fujita, H., Watanobe, Y., Ali, M. & Wang, Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 460-466 7 p. (Lecture Notes in Computer Science; vol. 15706 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
-
Uncertainty-Based Instance-Dependent Noisy Label Datasets Generation
Lee, J. & Kim, S. B., 2026, Advances and Trends in Artificial Intelligence. Theory and Applications - 38th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2025, Proceedings. Fujita, H., Watanobe, Y., Ali, M. & Wang, Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 317-322 6 p. (Lecture Notes in Computer Science; vol. 15706 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Press/Media
-
Researchers from Korea University Describe Research in Engineering (Self-Supervised Learning for Vehicle Noise Prediction With Limited Labeled Data)
25/4/29
1 item of Media coverage
Press/Media: Press / Media
-
Korea University Researchers Update Current Data on Engineering (Self-Supervised Spatiotemporal Representation Learning for Skeleton-Based Human Action Recognition)
25/4/17
1 item of Media coverage
Press/Media: Press / Media
-
Korean Intellectual Property Office Receives Samsung Electronics Co Ltd and Korea University Research and Business Foundation Patent Application for Apparatus and Method for Measuring Blood Component Level
Kim, S. B., Lee, H., Joo, H. J., Lee, H. & Joo, H.-J.
25/4/16
1 item of Media coverage
Press/Media: Press / Media
-
Studies from Korea University Yield New Information about Technology (Mixing Corrupted Preferences for Robust and Feedback-efficient Preference-based Reinforcement Learning)
Lee, Y. J., Kim, S. B., Lee, J.-C., Lee, J. H., Seong, J. Y., Lee, J. K., Lee, J., Lee, J.-K. & Lee, J.-W.
25/1/30
1 item of Media coverage
Press/Media: Press / Media
-
Studies from Korea University in the Area of Engineering Published (Semi-Supervised Learning With Wafer-Specific Augmentations for Wafer Defect Classification)
25/1/16
1 item of Media coverage
Press/Media: Press / Media