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S. Yung

1 paper here

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  • last author1

Across the 1 of 1 paper where every author was matched, so the position is known.

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  • cs.NE1

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most citedHigher-order-ReLU-KANs (HRKANs) for solving physics-informed neural networks (PINNs) more accurately, robustly and faster

1 citations · 1 across the 1 of their papers we have counts for

collaborators

1 paper

cs.NE2024★ 1 cited

Higher-order-ReLU-KANs (HRKANs) for solving physics-informed neural networks (PINNs) more accurately, robustly and faster

Chi Chiu So, Siu Pang Yung

Finding solutions to partial differential equations (PDEs) is an important and essential component in many scientific and engineering discoveries. One of the common approaches empo…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.