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Author

Zheng-Chu Guo

Observed names: Guo, Zheng-Chu, Guo, Zhengchu, Zheng-chu Guo
Institution: Zhejiang University
ORCID: 0009-0001-7134-6725
Observed ORCID: 0009-0001-7134-6725
OpenAlex ID: A5042860923
Generalization bounds for metric and similarity learning
2015 · Qiong Cao, Zheng-Chu Guo, et al. · Machine Learning · 116
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Learning theory of distributed spectral algorithms
2017 · Zheng-Chu Guo, Shao-Bo Lin, et al. · Inverse Problems · 114
Concentration estimates for learning with unbounded sampling
2011 · Zheng-Chu Guo, Ding-Xuan Zhou · Advances in Computational Mathematics · 49
Thresholded spectral algorithms for sparse approximations
2017 · Zheng-Chu Guo, Dao-Hong Xiang, et al. · Analysis and Applications · 45
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Learning Theory of Distributed Regression with Bias Corrected Regularization Kernel Network
2017 · Guo, Zhengchu, Shi, Lei, et al. · arXiv (Cornell University) · 33
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Guaranteed Classification via Regularized Similarity Learning
2013 · Zheng-Chu Guo, Yiming Ying · Neural Computation · 28
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Distributed learning with multi-penalty regularization
2017 · Zheng-Chu Guo, Shao-Bo Lin, et al. · Applied and Computational Harmonic Analysis · 26
Online regularized learning with pairwise loss functions
2016 · Zheng-Chu Guo, Yiming Ying, et al. · Advances in Computational Mathematics · 22
Capacity dependent analysis for functional online learning algorithms
2023 · Xin Guo, Zheng-Chu Guo, et al. · Applied and Computational Harmonic Analysis · 21
Gradient descent for robust kernel-based regression
2018 · Zheng-Chu Guo, Ting Hu, et al. · Inverse Problems · 21
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Realizing Data Features by Deep Nets
2019 · Zheng-Chu Guo, Lei Shi, et al. · IEEE Transactions on Neural Networks and Learning Systems · 20
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Optimal learning rates for distribution regression
2019 · Zhiying Fang, Zheng-Chu Guo, et al. · Journal of Complexity · 19
Optimal rates for coefficient-based regularized regression
2017 · Zheng-Chu Guo, Lei Shi · Applied and Computational Harmonic Analysis · 18
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Optimality of Robust Online Learning
2023 · Zheng-Chu Guo, Andreas Christmann, et al. · Foundations of Computational Mathematics · 16
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Fast and strong convergence of online learning algorithms
2019 · Zheng-Chu Guo, Lei Shi · Advances in Computational Mathematics · 16
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Learning with coefficient-based regularization and ℓ1 −penalty
2012 · Zheng-Chu Guo, Lei Shi · Advances in Computational Mathematics · 16
Classification with non-i.i.d. sampling
2011 · Zheng-Chu Guo, Lei Shi · Mathematical and Computer Modelling · 12
Convergence of Unregularized Online Learning Algorithms
2017 · Lei, Yunwen, Shi, Lei, et al. · arXiv (Cornell University) · 11
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Learning from networked examples
2014 · Wang, Yuyi, Ramon, Jan, et al. · Lirias · 8
Online regularized learning algorithm for functional data
2024 · Yuan Mao, Zheng-Chu Guo · Journal of Complexity · 5
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Distributed spectral pairwise ranking algorithms
2022 · Zheng-Chu Guo, Ting Hu, et al. · Inverse Problems · 5
Learning from networked examples in a k-partite graph
2013 · Wang, Yuyi, Ramon, Jan, et al. · arXiv (Cornell University) · 4
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Coefficient-based regularized distribution regression
2023 · Yuan Mao, Lei Shi, et al. · Journal of Approximation Theory · 3
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Online regression with unbounded sampling
2011 · Zheng-Chu Guo, Cheng Wang · International Journal of Computer Mathematics · 3
Spectral algorithms for functional linear regression
2024 · Jun Fan, Zheng-Chu Guo, et al. · Communications on Pure &amp Applied Analysis · 2
Works count: 41
Citation count: 637
H-index: 16
I10-index: 18
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