Scholar

Zhengdao Chen

Google Scholar ID: 4cgw8HQAAAAJ

Google Research

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Citations

2,086

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i10-index

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Publications

1 items

2025

Cited

Resume (English only)

Academic Achievements

Published extensively in top-tier venues including NeurIPS, ICML, ICLR, and the Journal of Machine Learning Research (JMLR).
Notable papers: 'Neural Hilbert Ladders: Multi-Layer Neural Networks in Function Space' (JMLR 2024), 'Multi-Layer Neural Networks as Trainable Ladders of Hilbert Spaces' (ICML 2023), 'Can Graph Neural Networks Count Substructures?' (NeurIPS 2020).
Frequent collaborator with prominent researchers such as Joan Bruna and Eric Vanden-Eijnden.
Several works include publicly available code (e.g., Symplectic RNNs, GNN equivalence studies).
Research spans theoretical deep learning, graph representation learning, and geometric numerical integration.

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