Chao Zhang
Orcid: 0000-0002-0142-0280Affiliations:
- 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 36 papers
between 2007 and 2024.
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Bibliography
2024
IEEE Trans. Syst. Man Cybern. Syst., February, 2024
Zero-order fuzzy neural network with adaptive fuzzy partition and its applications on high-dimensional problems.
Neurocomputing, February, 2024
Generative adversarial networks for multi-fidelity matrix completion with massive missing entries.
Inf. Fusion, 2024
2023
Coding Method Based on Fuzzy C-Means Clustering for Spiking Neural Network With Triangular Spike Response Function.
IEEE Trans. Fuzzy Syst., December, 2023
RSAL-iMFS: A framework of randomized stacking with active learning for incremental multi-fidelity surrogate modeling.
Eng. Appl. Artif. Intell., April, 2023
2022
IEEE Internet Things J., 2022
Revisiting PINNs: Generative Adversarial Physics-informed Neural Networks and Point-weighting Method.
CoRR, 2022
2021
Generalization Bounds of Multitask Learning From Perspective of Vector-Valued Function Learning.
IEEE Trans. Neural Networks Learn. Syst., 2021
Symmetry, 2021
Knowl. Based Syst., 2021
CoRR, 2021
2020
IEEE Trans. Inf. Theory, 2020
Binary Output Layer of Extreme Learning Machine for Solving Multi-class Classification Problems.
Neural Process. Lett., 2020
2019
CoRR, 2019
A Data-Driven Framework for Tunnel Geological-Type Prediction Based on TBM Operating Data.
IEEE Access, 2019
Binary Output Layer of Feedforward Neural Networks for Solving Multi-Class Classification Problems.
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.
Neurocomputing, 2018
Matrix Infinitely Divisible Series: Tail Inequalities and Applications in Optimization.
CoRR, 2018
2017
2014
Task-group Relatedness and Generalization Bounds for Regularized Multi-task Learning.
CoRR, 2014
2013
IEEE Trans. Neural Networks Learn. Syst., 2013
2012
Generalization Bounds of ERM-Based Learning Processes for Continuous-Time Markov Chains.
IEEE Trans. Neural Networks Learn. Syst., 2012
Discretized-Vapnik-Chervonenkis Dimension for Analyzing Complexity of Real Function Classes.
IEEE Trans. Neural Networks Learn. Syst., 2012
2011
IEEE Trans. Neural Networks, 2011
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011
2010
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010
Error Bounds for Real Function Classes Based on Discretized Vapnik-Chervonenkis Dimensions.
Aust. J. Intell. Inf. Process. Syst., 2010
2007
Convergence Analysis of Batch Gradient Algorithm for Three Classes of Sigma-Pi Neural Networks.
Neural Process. Lett., 2007
Training Pi-Sigma Network by Online Gradient Algorithm with Penalty for Small Weight Update.
Neural Comput., 2007
Convergence of Online Gradient Algorithm with Stochastic Inputs for Pi-Sigma Neural Networks.
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007