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 29 papers
between 2022 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2026
Memory-guided mask reconstruction with central contrastive learning for robust multivariate time series anomaly detection.
Neural Networks, 2026
Adaptive sample repulsion against class-specific counterfactuals for explainable imbalanced classification.
Neural Networks, 2026
Uncertainty-aware memory-enhanced cross-window dependency learning for robust multivariate time series anomaly detection.
Inf. Process. Manag., 2026
An Adversarial Filtering Framework With Time-Frequency Cross-Domain Consistency for Multivariate Time-Series Anomaly Detection.
IEEE Internet Things J., 2026
A dual-path fusion network with reconstruction and discrimination for zero-shot multivariate time series anomaly detection.
Neurocomputing, 2026
A generalized few-shot object detection method with multi-task dynamic routing and retrieval strategy of visual-semantic memory prototype.
Expert Syst. Appl., 2026
2025
Imputed-reconstruction diffusion models with negative exponential noise schedule for multivariate time series anomaly detection.
Pattern Anal. Appl., December, 2025
A meta-learning imbalanced classification framework via boundary enhancement strategy with Bayes imbalance impact index.
Neural Networks, 2025
Multivariate time series anomaly detection with heterogeneous-aware channel independence and global-local channel dependence.
Knowl. Based Syst., 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