Personal profile
In Korean
남우정 교수(IT대학 컴퓨터학부)
Education
o (2012) B.A., Hanyang University
o (2022) Integrated M.S. & Ph.D., Korea University
o (2022) Integrated M.S. & Ph.D., Korea University
Professional Experience
o (2023~Present) Assistant Professor, Kyungpook National University, Daegu
o (2022~2023) Postdoctoral Researcher, Artificial Intelligence Research Center, Korea University, Seoul
o (2022~2023) Postdoctoral Researcher, Artificial Intelligence Research Center, Korea University, Seoul
Research Interests
Explainable Artificial Intelligence,
Computer Vision, Machine Learning, Medical Image Analysis, Deep Learning
Computer Vision, Machine Learning, Medical Image Analysis, Deep Learning
Major Research Achievements
o “Interpreting Deep Neural Networks with Relative Sectional Propagation by Analyzing Comparative Gradients and Hostile Activations”, Proceedings
of the AAAI Conference on Artificial Intelligence (AAAI) 2021.
o “Relative attributing
propagation: Interpreting the comparative contributions of individual units in deep neural networks”,
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 2020.
o “Towards Better Visualizing the Decision Basis of Networks via Unfold and Conquer Attribution Guidance”, Proceedings of
the AAAI Conference on Artificial Intelligence (AAAI) 2023.
o “Toward Practical and Plausible Counterfactual
Explanation through Latent Adjustment in Disentangled Space”, Expert Systems with Applications
2023.
of the AAAI Conference on Artificial Intelligence (AAAI) 2021.
o “Relative attributing
propagation: Interpreting the comparative contributions of individual units in deep neural networks”,
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 2020.
o “Towards Better Visualizing the Decision Basis of Networks via Unfold and Conquer Attribution Guidance”, Proceedings of
the AAAI Conference on Artificial Intelligence (AAAI) 2023.
o “Toward Practical and Plausible Counterfactual
Explanation through Latent Adjustment in Disentangled Space”, Expert Systems with Applications
2023.
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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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Activation-driven discrepancy as evidence for generalized neural interpretability
Kyung Shin, H. & Nam, W. J., 1 Mar 2026, In: Expert Systems with Applications. 299Research output: Contribution to journal › Article › peer-review
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Personalized face aging via counterfactual-guided appearance manipulation
Pyeon, S. J., Kyung Shin, H. & Nam, W. J., 10 Jun 2026, In: Expert Systems with Applications. 315, 131671.Research output: Contribution to journal › Article › peer-review
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PINet: Improving the Stability of Prototype Networks via Phantasia-Inspired Uncertain Representations
Shin, H. K., Bae, S., Kim, S. M., Ko, B. C. & Nam, W. J., 2026, Proceedings of the AAAI Conference on Artificial Intelligence. Koenig, S., Jenkins, C. & Taylor, M. E. (eds.). 21 ed. Association for the Advancement of Artificial Intelligence, p. 17706-17714 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 40, no. 21).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Refining explainability in chest X-ray diagnostics with lesion-aware hybrid transformer and local similarity of integrated re-normalized attention map
Shin, H. K., Lee, D. H., Jung, H. & Nam, W. J., 15 Jun 2026, In: Biomedical Signal Processing and Control. 119, 109766.Research output: Contribution to journal › Article › peer-review
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AWM-GAN: SAR-to-Optical Image Translation with Adaptive Weight Maps
Pyeon, S. J., Kim, S. H., Shin, H. K., Kim, T. & Nam, W. J., Dec 2025, In: Remote Sensing. 17, 23, 3878.Research output: Contribution to journal › Article › peer-review
Open Access