Xin Gao

26 papers Journal 26
YearRankTypeTitle / Venue / Authors
2026 J jnl
A dual-path fusion network with reconstruction and discrimination for zero-shot multivariate time series anomaly detection.
Neurocomputing
Taizhi Wang, Xin Gao, Xinping Diao, Yuan Li, Haibo Yu, Yukun Lin, Huiting Xu, Yinglan Liu
2026 J jnl
Adaptive sample repulsion against class-specific counterfactuals for explainable imbalanced classification.
Neural Networks
Yu Hao, Xin Gao, Xinping Diao, Yuan Li, Yukun Lin, Tianyang Chen, Qiangwei Li, Jiawen Lu
2026 J jnl
Memory-guided mask reconstruction with central contrastive learning for robust multivariate time series anomaly detection.
Neural Networks
Le He, Xin Gao, Xinping Diao, Yuan Li, Chengming Tian, Yukun Lin, Bing Xue, Taizhi Wang
2025 J jnl
A dual-reconstruction self-rectification framework with momentum memory-augmented network for multivariate time series anomaly detection.
Appl. Soft Comput.
Bing Xue, Xin Gao, Heping Lu, Baofeng Li, Feng Zhai, Meng Xu, Taizhi Wang, Jiawen Lu
2025 J jnl
A feature matching-based method for few-shot multivariate time series anomaly detection with symmetric patch mask Siam Transformer.
Eng. Appl. Artif. Intell.
Jiahao Yu, Xin Gao, Taizhi Wang, Heping Lu, Baofeng Li, Feng Zhai, Bing Xue, Zhihang Meng
2025 J jnl
A meta-learning imbalanced classification framework via boundary enhancement strategy with Bayes imbalance impact index.
Neural Networks
Qiangwei Li, Xin Gao, Heping Lu, Baofeng Li, Feng Zhai, Taizhi Wang, Zhihang Meng, Yu Hao
2025 J jnl
A multimodal data generation method for imbalanced classification with dual-discriminator constrained diffusion model and adaptive sample selection strategy.
Inf. Fusion
Qiangwei Li, Xin Gao, Heping Lu, Baofeng Li, Feng Zhai, Taizhi Wang, Zhihang Meng, Yu Hao
2025 J jnl
An adversarial transfer imbalanced classification framework via cross-category commonality information extraction and joint discrimination.
Expert Syst. Appl.
Zhihang Meng, Xin Gao, Huang Tan, Haibo Yu, Xinping Diao, Tianyang Chen, Qiangwei Li, Yu Hao
2025 J jnl
Imputed-reconstruction diffusion models with negative exponential noise schedule for multivariate time series anomaly detection.
Pattern Anal. Appl.
Lingli Chen, Xin Gao, Heping Lu, Baofeng Li, Meng Xu, Yun Feng, Bing Xue, Taizhi Wang
2025 J jnl
Multivariate time series anomaly detection with heterogeneous-aware channel independence and global-local channel dependence.
Knowl. Based Syst.
Lingli Chen, Xin Gao, Haibo Yu, Yuan Li, Xinping Diao, Yukun Lin, Taizhi Wang, Le He
2024 J jnl
A feature-level mask self-supervised assisted learning approach based on transformer for remaining useful life prediction.
Intell. Data Anal.
Bing Xue, Xin Gao, Shuwei Zhang, Ning Wang, Shiyuan Fu, Jiahao Yu, Guangyao Zhang, Zijian Huang
2024 J jnl
A filter-augmented auto-encoder with learnable normalization for robust multivariate time series anomaly detection.
Neural Networks
Jiahao Yu, Xin Gao, Baofeng Li, Feng Zhai, Jiansheng Lu, Bing Xue, Shiyuan Fu, Chun Xiao
2024 J jnl
A robust multi-scale feature extraction framework with dual memory module for multivariate time series anomaly detection.
Neural Networks
Bing Xue, Xin Gao, Baofeng Li, Feng Zhai, Jiansheng Lu, Jiahao Yu, Shiyuan Fu, Chun Xiao
2024 J jnl
An adversarial contrastive autoencoder for robust multivariate time series anomaly detection.
Expert Syst. Appl.
Jiahao Yu, Xin Gao, Feng Zhai, Baofeng Li, Bing Xue, Shiyuan Fu, Lingli Chen, Zhihang Meng
2024 J jnl
Multivariate time series anomaly detection via separation, decomposition, and dual transformer-based autoencoder.
Appl. Soft Comput.
Shiyuan Fu, Xin Gao, Baofeng Li, Feng Zhai, Jiansheng Lu, Bing Xue, Jiahao Yu, Chun Xiao
2023 J jnl
A contrastive autoencoder with multi-resolution segment-consistency discrimination for multivariate time series anomaly detection.
Appl. Intell.
Bing Xue, Xin Gao, Feng Zhai, Baofeng Li, Jiahao Yu, Shiyuan Fu, Lingli Chen, Zhihang Meng
2023 J jnl
An imbalanced binary classification method based on contrastive learning using multi-label confidence comparisons within sample-neighbors pair.
Neurocomputing
Xin Gao, Zhihang Meng, Xin Jia, Jing Liu, Xinping Diao, Bing Xue, Zijian Huang, Kangsheng Li
2023 J jnl
An imbalanced binary classification method via space mapping using normalizing flows with class discrepancy constraints.
Inf. Sci.
Zijian Huang, Xin Gao, Wenli Chen, Yingying Cheng, Bing Xue, Zhihang Meng, Guangyao Zhang, Shiyuan Fu
2023 J jnl
Global reliable data generation for imbalanced binary classification with latent codes reconstruction and feature repulsion.
Appl. Intell.
Xin Jia, Xin Gao, Wenli Chen, Yingying Cheng, Zhihang Meng, Bing Xue, Zijian Huang, Shiyuan Fu
2023 J jnl
Probabilistic autoencoder with multi-scale feature extraction for multivariate time series anomaly detection.
Appl. Intell.
Guangyao Zhang, Xin Gao, Lei Wang, Bing Xue, Shiyuan Fu, Jiahao Yu, Zijian Huang, Xu Huang
2023 J jnl
Two Outlier-Sensitive Measures for Semi-supervised Dynamic Ensemble Anomaly Detection Models.
Neural Process. Lett.
Shiyuan Fu, Xin Gao, Baofeng Li, Bing Xue, Xin Jia, Zijian Huang, Guangyao Zhang, Xu Huang
2022 J jnl
An ensemble contrastive classification framework for imbalanced learning with sample-neighbors pair construction.
Knowl. Based Syst.
Xin Gao, Xin Jia, Jing Liu, Bing Xue, Zijian Huang, Shiyuan Fu, Guangyao Zhang, Kangsheng Li
2022 J jnl
An ensemble-based outlier detection method for clustered and local outliers with differential potential spread loss.
Knowl. Based Syst.
Xin Gao, Jiahao Yu, Sen Zha, Shiyuan Fu, Bing Xue, Ping Ye, Zijian Huang, Guangyao Zhang
2022 J jnl
Correlation-based feature partition regression method for unsupervised anomaly detection.
Appl. Intell.
Zhiyu Liu, Xin Gao, Xin Jia, Bing Xue, Shiyuan Fu, Kangsheng Li, Xu Huang, Zijian Huang
2022 J jnl
Detection of local and clustered outliers based on the density-distance decision graph.
Eng. Appl. Artif. Intell.
Kangsheng Li, Xin Gao, Xin Jia, Bing Xue, Shiyuan Fu, Zhiyu Liu, Xu Huang, Zijian Huang
2022 J jnl
Robust outlier detection based on the changing rate of directed density ratio.
Expert Syst. Appl.
Kangsheng Li, Xin Gao, Shiyuan Fu, Xinping Diao, Ping Ye, Bing Xue, Jiahao Yu, Zijian Huang