AI/DL Researcher and Developer

Ph.D. student in Data Mining Lab, Seoul National University, advised by Prof. U Kang.

Serving as lab manager, I lead research direction and drive core AI development.

My core interests lie in graph neural networks and deep learning.

Email: [email protected]

cv.pdf

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Education

Seoul National University (Sep. 2020 - Current)

• Ph.D. Candidate in the Graduate School of Artificial Intelligence
• Expected Graduation: 2026.08

Sung Kyun Kwan University (Mar. 2015 - Aug. 2020)

• B.S in Department of Computer Science and Engineering & Mathematic Science
• GPA: 4.14 / 4.50; C.S.: 4.26 / 4.50

Publications

2025

• Accurate Graph-based Multi-Positive Unlabeled Learning via Disentangled Multi-view Feature Propagation Junghun Kim, Ka Hyun Park, Hoyoung Yoon, and U Kang KDD 2025 [code | pdf | blog (Korean)]
• Accurate Link Prediction for Edge-Incomplete Graphs via PU Learning Junghun Kim, Ka Hyun Park, Hoyoung Yoon, and U Kang AAAI 2025 [code | pdf | blog (Korean)] Accepted as oral presentation

2024

• Domain-Aware Data Selection for Speech Classification via Meta-Reweighting Junghun Kim, Ka Hyun Park, Hoyoung Yoon, and U Kang Interspeech 2024 [code | pdf | blog (Korean)]
• Fast and Accurate Domain Adaptation for Irregular Tensor Decomposition Junghun Kim, Ka Hyun Park, Hoyoung Yoon, and U Kang KDD 2024 [code | pdf | blog (Korean)]
• Accurate Semi-supervised Automatic Speech Recognition via Multi-hypotheses-based Curriculum Learning Junghun Kim******,* Ka Hyun Park*, and U Kang (*equal contribution) PAKDD 2024 [code | pdf | blog (Korean)] Accepted as oral presentation