Shiyuan Fu
According to our database1,
Shiyuan Fu
authored at least 17 papers
between 2022 and 2024.
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Bibliography
2024
A time series anomaly detection method based on series-parallel transformers with spatial and temporal association discrepancies.
Inf. Sci., February, 2024
A filter-augmented auto-encoder with learnable normalization for robust multivariate time series anomaly detection.
Neural Networks, 2024
A robust multi-scale feature extraction framework with dual memory module for multivariate time series anomaly detection.
Neural Networks, 2024
A feature-level mask self-supervised assisted learning approach based on transformer for remaining useful life prediction.
Intell. Data Anal., 2024
An adversarial contrastive autoencoder for robust multivariate time series anomaly detection.
Expert Syst. Appl., 2024
Multivariate time series anomaly detection via separation, decomposition, and dual transformer-based autoencoder.
Appl. Soft Comput., 2024
2023
A contrastive autoencoder with multi-resolution segment-consistency discrimination for multivariate time series anomaly detection.
Appl. Intell., December, 2023
Global reliable data generation for imbalanced binary classification with latent codes reconstruction and feature repulsion.
Appl. Intell., July, 2023
Two Outlier-Sensitive Measures for Semi-supervised Dynamic Ensemble Anomaly Detection Models.
Neural Process. Lett., June, 2023
Probabilistic autoencoder with multi-scale feature extraction for multivariate time series anomaly detection.
Appl. Intell., June, 2023
An imbalanced binary classification method via space mapping using normalizing flows with class discrepancy constraints.
Inf. Sci., April, 2023
Improved Load Balancing Algorithm for a Novel Distributed Computing Framework Based on MultiObjective Optimization Algorithm.
Proceedings of the 4th International Conference on Computer Engineering and Intelligent Control, 2023
2022
An ensemble-based outlier detection method for clustered and local outliers with differential potential spread loss.
Knowl. Based Syst., 2022
An ensemble contrastive classification framework for imbalanced learning with sample-neighbors pair construction.
Knowl. Based Syst., 2022
Expert Syst. Appl., 2022
Detection of local and clustered outliers based on the density-distance decision graph.
Eng. Appl. Artif. Intell., 2022
Correlation-based feature partition regression method for unsupervised anomaly detection.
Appl. Intell., 2022