Personal profile
In Korean
정희철 교수(IT대학 전자공학부)
Education
Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), PhD (2018)
Information and Communication, Gwangju Institute of Science and Technology (GIST), MS (2010)
Internet Science, Sejong University, BS (2007)
Information and Communication, Gwangju Institute of Science and Technology (GIST), MS (2010)
Internet Science, Sejong University, BS (2007)
Professional Experience
Associate Professor, Department of Artificial Intelligence, Kyungpook National University (2023. 10 ~ )
Assistant Professor, Department of Artificial Intelligence, Kyungpook National University (2019. 9 ~ 2023. 9)
Senior Researcher, AI Research (AIR) Lab, Hyundai Motor Company (2019. 2 ~ 2019. 8)
Research Scientist, AI Team, Hutom (2017. 12 ~ 2019. 1)
Researcher, Convergence Research Center for Future Automotive Technology, DGIST (2016. 6 ~ 2017. 11)
Researcher, DGIST (2010. 2 ~ 2010. 12)
Assistant Professor, Department of Artificial Intelligence, Kyungpook National University (2019. 9 ~ 2023. 9)
Senior Researcher, AI Research (AIR) Lab, Hyundai Motor Company (2019. 2 ~ 2019. 8)
Research Scientist, AI Team, Hutom (2017. 12 ~ 2019. 1)
Researcher, Convergence Research Center for Future Automotive Technology, DGIST (2016. 6 ~ 2017. 11)
Researcher, DGIST (2010. 2 ~ 2010. 12)
Research Interests
Deep Learning, Computer Vision, Large Language Model, Large Multimodal Model
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Dive into the research topics where Heechul Jung is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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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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LEAF: A Lightweight Language-Enhanced Model for Forestry Analysis in Remote Sensing Imagery
Karshiev, S., Saeed, F., Ahn, J., Rehman, A., Diyan, M., Alsenan, S. & Jung, H., 2026, (Accepted/In press) In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.Research output: Contribution to journal › Article › peer-review
Open Access -
Adaptive Bias Discovery for Learning Debiased Classifier
Bae, J. H., Lee, M. & Jung, H., 2025, Computer Vision – ACCV 2024 - 17th Asian Conference on Computer Vision, Proceedings. Cho, M., Laptev, I., Tran, D., Yao, A. & Zha, H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 38-54 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15479 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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A Scalable Continual Learning Framework for Air Conditioner Fault Diagnosis
Lee, J., Lee, C., Kwak, M., Kim, N. & Jung, H., 2025, 2025 IEEE/IEIE International Conference on Consumer Electronics-Asia, ICCE-Asia 2025. Institute of Electrical and Electronics Engineers Inc., (2025 IEEE/IEIE International Conference on Consumer Electronics-Asia, ICCE-Asia 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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A Self-Attention Classifier Head for Improved Image Classification and Interpretability of ViT
Ahn, J. & Jung, H., 1 Jan 2025, In: Electronics Letters. 61, 1, e70478.Research output: Contribution to journal › Letter › peer-review
Open Access -
Bridging domain spaces for unsupervised domain adaptation
Na, J., Jung, H., Chang, H. J. & Hwang, W., Aug 2025, In: Pattern Recognition. 164, 111537.Research output: Contribution to journal › Article › peer-review
8 Scopus citations