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Author

Wenda Zhou

Observed name: Zhou, Wenda
Observed institutions: Central University of Finance and Economics, Peking University, Cornell University, University of Chicago, OpenAI (United States), Flatiron Institute, New York University, Columbia University
ORCID: 0000-0001-5549-7884
Observed ORCID: 0000-0001-5549-7884
OpenAlex ID: A5076428036
Non-Vacuous Generalization Bounds at the ImageNet Scale: A PAC-Bayesian Compression Approach
2018 · Zhou, Wenda, Veitch, Victor, et al. · arXiv (Cornell University) · 89
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SketchGraphs: A Large-Scale Dataset for Modeling Relational Geometry in Computer-Aided Design
2020 · Seff, Ari, Ovadia, Yaniv, et al. · arXiv (Cornell University) · 35
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Vitruvion: A Generative Model of Parametric CAD Sketches
2021 · Seff, Ari, Zhou, Wenda, et al. · arXiv (Cornell University) · 21
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Review on Quantum Walk Algorithm
2021 · Wenda Zhou · Journal of Physics Conference Series · 21
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Approximate Leave-One-Out for Fast Parameter Tuning in High Dimensions
2018 · Wang, Shuaiwen, Zhou, Wenda, et al. · arXiv (Cornell University) · 14
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Autobahn: Automorphism-based Graph Neural Nets
2021 · Thiede, Erik Henning, Zhou, Wenda, et al. · arXiv (Cornell University) · 13
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Compressibility and Generalization in Large-Scale Deep Learning.
2018 · Wenda Zhou, Victor Veitch, et al. · arXiv (Cornell University) · 12
Error bounds in estimating the out-of-sample prediction error using leave-one-out cross validation in high-dimensions
2020 · Rad, Kamiar Rahnama, Zhou, Wenda, et al. · arXiv (Cornell University) · 11
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Asymptotics of Cross-Validation
2020 · Austern, Morgane, Zhou, Wenda · arXiv (Cornell University) · 10
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Compressed Sensing in the Presence of Speckle Noise
2022 · Wenda Zhou, Shirin Jalali, et al. · IEEE Transactions on Information Theory · 9
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Approximate Leave-One-Out for High-Dimensional Non-Differentiable Learning Problems
2018 · Wang, Shuaiwen, Zhou, Wenda, et al. · arXiv (Cornell University) · 8
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InstaMap: instant-NGP for cryo-EM density maps
2025 · Geoffrey Woollard, Wenda Zhou, et al. · Acta Crystallographica Section D Structural Biology · 6
Discrete Object Generation with Reversible Inductive Construction
2019 · Seff, Ari, Zhou, Wenda, et al. · arXiv (Cornell University) · 5
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Analysis of genotype by methylation interactions through sparsity-inducing regularized regression
2018 · Wenda Zhou, Shaw-Hwa Lo · BMC Proceedings · 5
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The Inaugural Flatiron Institute Cryo-EM Conformational Heterogeneity Challenge
2025 · Miro A. Astore, Geoffrey Woollard, et al. · bioRxiv (Cold Spring Harbor Laboratory) · 4
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Empirical Risk Minimization and Stochastic Gradient Descent for Relational Data
2018 · Veitch, Victor, Austern, Morgane, et al. · arXiv (Cornell University) · 4
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Graph neural networks for biochemistry that incorporate substructure
2022 · Erik H. Thiede, Wenda Zhou, et al. · Biophysical Journal · 3
Towards theoretically-founded learning-based denoising
2019 · Wenda Zhou, Shirin Jalali · IEEE International Symposium on Information Theory (ISIT) · 3
Asymptotics of cross-validation
2025 · Morgane Austern, Wenda Zhou · Annales de l Institut Henri Poincaré Probabilités et Statistiques · 2
The challenge of detecting genotype-by-methylation interaction: GAW20
2018 · Mariza de Andrade, E. Warwick Daw, et al. · BMC Genetics · 2
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Recent advances in machine learning for geological and geophysical case studies
2021 · Wenda Zhou · 1
Denoising of structured random processes
2019 · Zhou, Wenda, Jalali, Shirin · arXiv (Cornell University) · 1
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Research and implementation of a deep learning-based evaluation system for motion pattern recognition
2026 · Wenda Zhou · International Conference on Communication, Information, and Digital Technologies (CIDT)
Corrections to “Compressed Sensing in the Presence of Speckle Noise”
2024 · Wenda Zhou, Shirin Jalali, et al. · IEEE Transactions on Information Theory
Bayesian denoising of structured sources and its implications on learning-based denoising
2023 · Wenda Zhou, Joachim Wabnig, et al. · Information and Inference A Journal of the IMA
Works count: 27
Citation count: 279
H-index: 9
I10-index: 9
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