Zhiyang Xiang
Orcid: 0000-0003-4081-9558
According to our database1,
Zhiyang Xiang
authored at least 13 papers
between 2015 and 2021.
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Bibliography
2021
Controlling Melody Structures in Automatic Game Soundtrack Compositions With Adversarial Learning Guided Gaussian Mixture Models.
IEEE Trans. Games, 2021
A self-adapting hierarchical actions and structures joint optimization framework for automatic design of robotic and animation skeletons.
Soft Comput., 2021
Zero-sample surface defect detection and classification based on semantic feedback neural network.
CoRR, 2021
2020
Semi-parametric training of autoencoders with Gaussian kernel smoothed topology learning neural networks.
Neural Comput. Appl., 2020
2019
Nonparametric kernel smoother on topology learning neural networks for incremental and ensemble regression.
Neural Comput. Appl., 2019
2017
Gaussian kernel smooth regression with topology learning neural networks and Python implementation.
Neurocomputing, 2017
2016
Incremental semi-supervised kernel construction with self-organizing incremental neural network and application in intrusion detection.
J. Intell. Fuzzy Syst., 2016
A Gaussian mixture framework for incremental nonparametric regression with topology learning neural networks.
Neurocomputing, 2016
A GPR-PSO incremental regression framework on GPS/INS integration for vehicle localization under urban environment.
Proceedings of the 27th IEEE Annual International Symposium on Personal, 2016
Resource allocation via hierarchical clustering in dense small cell networks: A correlated equilibrium approach.
Proceedings of the 27th IEEE Annual International Symposium on Personal, 2016
Unsupervised and Semi-supervised Dimensionality Reduction with Self-Organizing Incremental Neural Network and Graph Similarity Constraints.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016
A temporal self-organizing neural network for adaptive sub-sequence clustering and case studies.
Proceedings of the International Conference on Computer, 2016
2015
A framework for metric learning and embedding with topology learning neural networks.
Proceedings of the 11th International Conference on Natural Computation, 2015