Xin Gao
Orcid: 0000-0002-1183-7223Affiliations:
- Beijing University of Posts and Telecommunications, School of Artificial Intelligence, China
According to our database1,
Xin Gao
authored at least 21 papers
between 2022 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
A meta-learning imbalanced classification framework via boundary enhancement strategy with Bayes imbalance impact index.
Neural Networks, 2025
A multimodal data generation method for imbalanced classification with dual-discriminator constrained diffusion model and adaptive sample selection strategy.
Inf. Fusion, 2025
An adversarial transfer imbalanced classification framework via cross-category commonality information extraction and joint discrimination.
Expert Syst. Appl., 2025
A feature matching-based method for few-shot multivariate time series anomaly detection with symmetric patch mask Siam Transformer.
Eng. Appl. Artif. Intell., 2025
A dual-reconstruction self-rectification framework with momentum memory-augmented network for multivariate time series anomaly detection.
Appl. Soft Comput., 2025
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
An imbalanced binary classification method based on contrastive learning using multi-label confidence comparisons within sample-neighbors pair.
Neurocomputing, 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