‪Zhongjie SHI‬ - ‪Google Scholar‬

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	All	Since 2019
Citations	69	67
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i10-index	2	2

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Co-authors

Ding-Xuan ZhouUniversity of SydneyVerified email at sydney.edu.au
Tong MaoKing Abdullah University Of Science And TechnologyVerified email at kaust.edu.sa
Johan SuykensProfessor, KU LeuvenVerified email at esat.kuleuven.be
Yuan CaoThe University of Hong KongVerified email at hku.hk
Fanghui LiuAssistant Professor, University of WarwickVerified email at warwick.ac.uk

Zhongjie SHI

Zhongjie SHI

The University of Hong Kong

Verified email at hku.hk

Deep learning theory functional data analysis


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Theory of deep convolutional neural networks III: Approximating radial functions T Mao, Z Shi, DX Zhou Neural Networks 144, 778-790, 2021	29	2021
Approximating functions with multi-features by deep convolutional neural networks T Mao, Z Shi, DX Zhou Analysis and Applications 21 (01), 93-125, 2023	28	2023
Robust kernel-based distribution regression Z Yu, DWC Ho, Z Shi, DX Zhou Inverse Problems 37 (10), 105014, 2021	9	2021
Nonlinear functional regression by functional deep neural network with kernel embedding Z Shi, J Fan, L Song, DX Zhou, JAK Suykens arXiv preprint arXiv:2401.02890, 2024	3	2024
Can overfitted deep neural networks in adversarial training generalize?--An approximation viewpoint Z Shi, F Liu, Y Cao, JAK Suykens arXiv preprint arXiv:2401.13624, 2024		2024
Learning Theory of Distribution Regression with Neural Networks Z Shi, Z Yu, DX Zhou arXiv preprint arXiv:2307.03487, 2023		2023

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