Jidong Yuan
Orcid: 0000-0003-2654-3372
According to our database1,
Jidong Yuan
authored at least 34 papers
between 2013 and 2025.
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Bibliography
2025
IEEE Trans. Neural Networks Learn. Syst., January, 2025
2024
MDG: A Multi-Task Dynamic Graph Generation Framework for Multivariate Time Series Forecasting.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024
Neural Process. Lett., February, 2024
Intell. Data Anal., 2024
Local perturbation-based black-box federated learning attack for time series classification.
Future Gener. Comput. Syst., 2024
Depth-NeuS: Neural Implicit Surfaces Learning for Multi-view Reconstruction Based on Depth Information Optimization.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024
2023
SFCC: Data Augmentation with Stratified Fourier Coefficients Combination for Time Series Classification.
Neural Process. Lett., April, 2023
MICOS: Mixed supervised contrastive learning for multivariate time series classification.
Knowl. Based Syst., 2023
Time-frequency based multi-task learning for semi-supervised time series classification.
Inf. Sci., 2023
Intell. Data Anal., 2023
2022
Knowl. Inf. Syst., 2022
Eng. Appl. Artif. Intell., 2022
2021
Neurocomputing, 2021
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021
2020
Comput. Intell. Neurosci., 2020
2019
A large margin time series nearest neighbour classification under locally weighted time warps.
Knowl. Inf. Syst., 2019
Int. Arab J. Inf. Technol., 2019
Proceedings of the Fourth IEEE International Conference on Data Science in Cyberspace, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
2018
Neurocomputing, 2018
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
Proceedings of the Neural Information Processing - 25th International Conference, 2018
2017
一种基于数据流模式表示的半懒惰式分类算法 (Partially-lazy Learning Classification Algorithm Based on Representation of Data Stream Model).
计算机科学, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
2016
Int. J. Distributed Sens. Networks, 2016
2015
计算机科学, 2015
Mining closed and multi-supports-based sequential pattern in high-dimensional dataset.
Int. Arab J. Inf. Technol., 2015
2014
Efficient Method for Mining Patterns from Highly Similar and Dense Database based on Prefix-Frequent-Items.
J. Softw., 2014
Int. J. Pattern Recognit. Artif. Intell., 2014
2013