Personal profile
In Korean
이동규 교수(IT대학 전자공학부)
Education
(2019) Ph.D., Korea University
Professional Experience
(2024~Present): Associate professor, Dept. of Artificial Intelligence, Kyungpook National University
(2020~2024): Assistant professor, Dept. of Artificial Intelligence, Kyungpook National University
(2020) Research professor, Dept. of Artificial Intelligence, Korea University
(2019~2020) Research engineer, SK holdings C&C
Research Interests
Deep Learning, Machine Learning, Computer Vision, Pattern Recognition, Video Understanding, Human Activity Analysis
url
Fingerprint
Dive into the research topics where Dong-Gyu Lee 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
-
Adversarially regularized transformer with channel-wise noise for robust hand gesture recognition using surface electromyography
Cha, D., Lee, D. G. & Ahn, S., Mar 2026, In: Biomedical Engineering Letters. 16, 2, p. 463-472 10 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Enriching object-aware image–text highlight information for visual question generation
Lee, S. & Lee, D. G., Mar 2026, In: Information Processing and Management. 63, 2, 104379.Research output: Contribution to journal › Article › peer-review
-
Optimization of [6]-gingerol extraction methods from ginger rhizomes for enhanced bioactivity
Ryu, D. H., Cho, J. Y., Park, M. J., Lee, D. G., Yu, S. B., Kang, B. U., Ku, K. M. & Kang, Y. H., Feb 2026, In: Horticulture Environment and Biotechnology. 67, 1, p. 33-45 13 p.Research output: Contribution to journal › Article › peer-review
-
A Similarity-Based Training Strategy with Network-Level Perturbation for Semi-supervised Semantic Segmentation
Chae, J. & Lee, D. G., 2025, Pattern Recognition and Artificial Intelligence - 4th International Conference, ICPRAI 2024, Proceedings. Wallraven, C., Liu, C.-L. & Ross, A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 269-280 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14893 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
-
Automatic network compression via evolutionary search-guided channel pruning of deep convolutional neural networks
Kumar, A., Shibu, A. & Lee, D. G., Oct 2025, In: Applied Soft Computing. 182, 113521.Research output: Contribution to journal › Article › peer-review
3 Scopus citations