Publications

You can also find my articles on my Google Scholar profile.

Journal Articles


Confidence Controls Deep Metric Learning

Published in Machine Learning, 2026

Machine Learning, 2026.

Recommended citation: Jinhee Park, Hee Bin Yoo, Byoung-Tak Zhang, and Junseok Kwon. (2026). "Confidence Controls Deep Metric Learning." Machine Learning, 115, 77.
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Conference Papers


Deep Neural Networks as Finite-Step Hopfield Dynamics

Published in New Frontiers in Associative Memories Workshop at ICLR, 2026

New Frontiers in Associative Memories Workshop at ICLR 2026.

Recommended citation: Wooyul Jung, Hochan Bang, Hee Bin Yoo, and Byoung-Tak Zhang. (2026). "Deep Neural Networks as Finite-Step Hopfield Dynamics." New Frontiers in Associative Memories Workshop at ICLR.
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Neural Collapse-Informed Initialization with Perturbation Injection in Classification-based Metric Learning

Published in Proceedings of the AAAI Conference on Artificial Intelligence, 2026

AAAI 2026 oral presentation.

Recommended citation: Jinhee Park*, Hee Bin Yoo*, Minjun Kim, Byoung-Tak Zhang, and Junseok Kwon. (2026). "Neural Collapse-Informed Initialization with Perturbation Injection in Classification-based Metric Learning." Proceedings of the AAAI Conference on Artificial Intelligence, 40(10), 8287-8295.
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Continuous SO(3) Equivariant Convolution for 3D Point Cloud Analysis

Published in European Conference on Computer Vision, 2024

ECCV 2024 poster.

Recommended citation: Jaein Kim, Hee Bin Yoo, Dong-Sig Han, Yeon-Ji Song, and Byoung-Tak Zhang. (2024). "Continuous SO(3) Equivariant Convolution for 3D Point Cloud Analysis." European Conference on Computer Vision, Springer, 59-75.

Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning

Published in Proceedings of the AAAI Conference on Artificial Intelligence, 2024

AAAI 2024 oral presentation.

Recommended citation: Junseok Park, Yoonsung Kim*, Hee bin Yoo*, Min Whoo Lee, Kibeom Kim, Won-Seok Choi, Minsu Lee, and Byoung-Tak Zhang. (2024). "Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning." Proceedings of the AAAI Conference on Artificial Intelligence, 38(1), 592-600.
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