Chao Zhang

Orcid: 0000-0002-0142-0280

Affiliations:

Dalian University of Technology, School of Mathematical Sciences, China
Nanyang Technological University, School of Computer Engineering, Singapore (former)
Dalian University of Technology, Department of Applied Mathematics, China (PhD 2009)

According to our database¹, Chao Zhang authored at least 34 papers between 2007 and 2024.

Collaborative distances:

Dijkstra number² of three.
Erdős number³ of four.

Timeline

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Bibliography

2024

A New Oversampling Method Based on Triangulation of Sample Space.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., February, 2024

2023

Coding Method Based on Fuzzy C-Means Clustering for Spiking Neural Network With Triangular Spike Response Function.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., December, 2023

RSAL-iMFS: A framework of randomized stacking with active learning for incremental multi-fidelity surrogate modeling.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., April, 2023

2022

GAN-MDF: An Enabling Method for Multifidelity Data Fusion.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2022

Revisiting PINNs: Generative Adversarial Physics-informed Neural Networks and Point-weighting Method.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Generalization Bounds of Multitask Learning From Perspective of Vector-Valued Function Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

A New Oversampling Method Based on the Classification Contribution Degree.

[BibT_eX]

[DOI]

Symmetry, 2021

Hierarchical regression framework for multi-fidelity modeling.

[BibT_eX]

[DOI]

Yueqi Xu

Xueguan Song

Chao Zhang

Knowl. Based Syst., 2021

GAN-MDF: A Method for Multi-fidelity Data Fusion in Digital Twins.

[BibT_eX]

[DOI]

Lixue Liu

Chao Zhang

Dacheng Tao

CoRR, 2021

Real-time Forecast Models for TBM Load Parameters Based on Machine Learning Methods.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Matrix Infinitely Divisible Series: Tail Inequalities and Their Applications.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2020

Binary Output Layer of Extreme Learning Machine for Solving Multi-class Classification Problems.

[BibT_eX]

[DOI]

Neural Process. Lett., 2020

2019

A Genetic XK-Means Algorithm with Empty Cluster Reassignment.

[BibT_eX]

[DOI]

Symmetry, 2019

Small-Deviation Inequalities for Sums of Random Matrices.

[BibT_eX]

[DOI]

Xianjie Gao

Chao Zhang

Hongwei Zhang

Symmetry, 2019

On Dimension-free Tail Inequalities for Sums of Random Matrices and Applications.

[BibT_eX]

[DOI]

Chao Zhang

Min-Hsiu Hsieh

Dacheng Tao

CoRR, 2019

A Data-Driven Framework for Tunnel Geological-Type Prediction Based on TBM Operating Data.

[BibT_eX]

[DOI]

IEEE Access, 2019

Binary Output Layer of Feedforward Neural Networks for Solving Multi-Class Classification Problems.

[BibT_eX]

[DOI]

Sibo Yang

Chao Zhang

Wei Wu

IEEE Access, 2019

2018

Relaxed conditions for convergence analysis of online back-propagation algorithm with L<sub>2</sub> regularizer for Sigma-Pi-Sigma neural network.

[BibT_eX]

[DOI]

Yan Liu

Dakun Yang

Chao Zhang

Neurocomputing, 2018

Generalization Bounds for Vicinal Risk Minimization Principle.

[BibT_eX]

[DOI]

Chao Zhang

Min-Hsiu Hsieh

Dacheng Tao

CoRR, 2018

Matrix Infinitely Divisible Series: Tail Inequalities and Applications in Optimization.

[BibT_eX]

[DOI]

CoRR, 2018

2017

LSV-Based Tail Inequalities for Sums of Random Matrices.

[BibT_eX]

[DOI]

Chao Zhang

Lei Du

Dacheng Tao

Neural Comput., 2017

2014

Task-group Relatedness and Generalization Bounds for Regularized Multi-task Learning.

[BibT_eX]

[DOI]

CoRR, 2014

2013

Structure of Indicator Function Classes With Finite Vapnik-Chervonenkis Dimensions.

[BibT_eX]

[DOI]

Chao Zhang

Dacheng Tao

IEEE Trans. Neural Networks Learn. Syst., 2013

Risk bounds of learning processes for Lévy processes.

[BibT_eX]

[DOI]

Chao Zhang

Dacheng Tao

J. Mach. Learn. Res., 2013

2012

Generalization Bounds of ERM-Based Learning Processes for Continuous-Time Markov Chains.

[BibT_eX]

[DOI]

Chao Zhang

Dacheng Tao

IEEE Trans. Neural Networks Learn. Syst., 2012

Discretized-Vapnik-Chervonenkis Dimension for Analyzing Complexity of Real Function Classes.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2012

2011

Binary Higher Order Neural Networks for Realizing Boolean Functions.

[BibT_eX]

[DOI]

Chao Zhang

Jie Yang

Wei Wu

IEEE Trans. Neural Networks, 2011

Generalization Bound for Infinitely Divisible Empirical Process.

[BibT_eX]

[DOI]

Chao Zhang

Dacheng Tao

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Risk Bounds for Infinitely Divisible Distribution.

[BibT_eX]

[DOI]

Chao Zhang

Dacheng Tao

Proceedings of the UAI 2011, 2011

2010

Risk Bounds for Levy Processes in the PAC-Learning Framework.

[BibT_eX]

[DOI]

Chao Zhang

Dacheng Tao

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Error Bounds for Real Function Classes Based on Discretized Vapnik-Chervonenkis Dimensions.

[BibT_eX]

[DOI]

Chao Zhang

Dacheng Tao

Aust. J. Intell. Inf. Process. Syst., 2010

2007

Convergence Analysis of Batch Gradient Algorithm for Three Classes of Sigma-Pi Neural Networks.

[BibT_eX]

[DOI]

Chao Zhang

Wei Wu

Yan Xiong

Neural Process. Lett., 2007

Training Pi-Sigma Network by Online Gradient Algorithm with Penalty for Small Weight Update.

[BibT_eX]

[DOI]

Neural Comput., 2007

Convergence of Online Gradient Algorithm with Stochastic Inputs for Pi-Sigma Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007

Chao Zhang

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