Research output per year
Research output per year
Personal profile
In Korean
김재일 교수(IT대학 컴퓨터학부)
Education
(2007) B.A., Ajou University
(2015) Ph.D, Korea Advanced Institute of Science and Technology
(2015) Ph.D, Korea Advanced Institute of Science and Technology
Professional Experience
(2014~2018) Senior Researcher, Samsung Electronics, Suwon, Korea
(2016~2018) Postdoctoral Associate, University of North Carolina at Chapel Hill, USA
(2018~Present) Associate Professor, Kyungpook National University, Daege, Korea
(2016~2018) Postdoctoral Associate, University of North Carolina at Chapel Hill, USA
(2018~Present) Associate Professor, Kyungpook National University, Daege, Korea
Research Interests
Medical Image Processing and Analysis, Artificial Intelligence, Vision AI, Machine Learning, Conversational AI
Major Research Achievements
o Elastic exponential linear units for convolutional neural networks, Neural Networks, 2020
o Floor plan recommendation system using graph neural network with spatial relationship dataset, 2023
o CT-Loc: Cross-domain visual localization with a channel-wise transformer, 2023
o Spatiotemporal neural network with attention mechanism for El Niño forecasts, 2022
o STG-OceanWaveNet: Spatio-temporal geographic information guided ocean wave prediction network, 2022
o Floor plan recommendation system using graph neural network with spatial relationship dataset, 2023
o CT-Loc: Cross-domain visual localization with a channel-wise transformer, 2023
o Spatiotemporal neural network with attention mechanism for El Niño forecasts, 2022
o STG-OceanWaveNet: Spatio-temporal geographic information guided ocean wave prediction network, 2022
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Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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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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Two-pathway spatiotemporal representation learning for extreme water temperature prediction
Kim, J., Kim, T. & Kim, J., May 2024, In: Engineering Applications of Artificial Intelligence. 131, 107718.Research output: Contribution to journal › Article › peer-review
3 Scopus citations -
Advances in deep learning methods for medical image analysis
Kim, J., 2023, In: Frontiers in Radiology. 2Research output: Contribution to journal › Article › peer-review
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A Study on the Effectiveness of Deep Learning-Based Anomaly Detection Methods for Breast Ultrasonography
Yun, C., Eom, B., Park, S., Kim, C., Kim, D., Jabeen, F., Kim, W. H., Kim, H. J. & Kim, J., Mar 2023, In: Sensors. 23, 5, 2864.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
CT-Loc: Cross-domain visual localization with a channel-wise transformer
Kim, D. & Kim, J., Jan 2023, In: Neural Networks. 158, p. 369-383 15 p.Research output: Contribution to journal › Article › peer-review
9 Scopus citations -
Distinct cerebral cortical perfusion patterns in idiopathic normal-pressure hydrocephalus
Kang, K., Jeong, S. Y., Park, K. S., Hahm, M. H., Kim, J., Lee, H. W., Kim, C. H., Yun, E., Han, J., Yoon, U. & Lee, S. W., Jan 2023, In: Human Brain Mapping. 44, 1, p. 269-279 11 p.Research output: Contribution to journal › Article › peer-review
Open Access5 Scopus citations