Personal profile
Education
(Ph.D.) Computer Science, Korea Advanced Institute of Science and Technology, 1999.
Professional Experience
Researcher, AIO Microservice Inc., CA, 1996-1997.
Post Doctoral Researcher, Korea Advanced Institute of Science and Technology, 1999-2000.
International Fellow, Stanford Research Institute (SRI), Menlo Park, CA, 2000-2002.
Awards
The Best Paper Award, the 16th International Symposium on advanced Intelligent Systems (ISIS), “Weather Map Prediction with DNN-based Feature Extraction,” 2015.
Th Best Paper Award, International Conference on Ubiquitous Information Management and Communication (ICUIMC), “An Approach to Use Query-related Web Context on Document Ranking,” 2011.
The Best Paper Award, Korean Institute of Intelligent Systems (KIIS), “Document Classification Based on Vector Representations of Document,” 2015.
The Best Paper Award, Korean Institute of Intelligent Systems (KIIS), “Deep Learning Method for Effective Learning of Imbalanced Data,” 2015.
The 3rd place winner of the Big Data Analysis Competition, Korea Association for ICT promotion, 2013.
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Collaborations and top research areas from the last five years
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Federated domain generalization with source knowledge preservation via discriminative ensembles
Kang, Y. H. & Lee, J. H., Feb 2026, In: Information Sciences. 727, 122804.Research output: Contribution to journal › Article › peer-review
1 Link opens in a new tab Scopus citations -
Deep learning-based automated classification of choroidal layers in en face swept-source optical coherence tomography images
Yoon, J. M., Lim, J. Y., Noh, H., Nam, S. W., Lee, J. H. & Ham, D. L., Dec 2025, In: BMC Ophthalmology. 25, 1, 344.Research output: Contribution to journal › Article › peer-review
Open Access -
DomCLP: Domain-wise Contrastive Learning with Prototype Mixup for Unsupervised Domain Generalization
Lee, J. S., Kim, N. R. & Lee, J. H., 11 Apr 2025, In: Proceedings of the AAAI Conference on Artificial Intelligence. 39, 17, p. 18119-18127 9 p.Research output: Contribution to journal › Conference article › peer-review
1 Link opens in a new tab Scopus citations -
ExMatch: Self-guided Exploitation for Semi-supervised Learning with Scarce Labeled Samples
Kim, N. R., Lee, J. S. & Lee, J. H., 2025, Computer Vision – ECCV 2024 - 18th European Conference, Proceedings. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 125-142 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15143 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Link opens in a new tab Scopus citations -
Feature-Level and Spatial-Level Activation Expansion for Weakly-Supervised Semantic Segmentation
Choi, J., Lee, J. S., Kim, N. R., Yoon, S. H. & Lee, J. H., 2025, Proceedings - 2025 IEEE Winter Conference on Applications of Computer Vision, WACV 2025. Institute of Electrical and Electronics Engineers Inc., p. 8712-8722 11 p. (Proceedings - 2025 IEEE Winter Conference on Applications of Computer Vision, WACV 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review