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2020 – today
- 2024
[j16]Shiyuan Fu, Xin Gao
, Baofeng Li, Feng Zhai, Jiansheng Lu, Bing Xue, Jiahao Yu, Chun Xiao:
Multivariate time series anomaly detection via separation, decomposition, and dual transformer-based autoencoder. Appl. Soft Comput. 159: 111671 (2024)- [j15]Jiahao Yu, Xin Gao, Feng Zhai, Baofeng Li, Bing Xue, Shiyuan Fu, Lingli Chen, Zhihang Meng:
An adversarial contrastive autoencoder for robust multivariate time series anomaly detection. Expert Syst. Appl. 245: 123010 (2024) - [j14]Bing Xue, Xin Gao, Shuwei Zhang, Ning Wang, Shiyuan Fu, Jiahao Yu, Guangyao Zhang, Zijian Huang:
A feature-level mask self-supervised assisted learning approach based on transformer for remaining useful life prediction. Intell. Data Anal. 28(1): 217-237 (2024) - [j13]Shiyuan Fu, Xin Gao, Feng Zhai, Baofeng Li, Bing Xue, Jiahao Yu, Zhihang Meng, Guangyao Zhang:
A time series anomaly detection method based on series-parallel transformers with spatial and temporal association discrepancies. Inf. Sci. 657: 119978 (2024) - [j12]Jiahao Yu, Xin Gao, Baofeng Li, Feng Zhai, Jiansheng Lu, Bing Xue, Shiyuan Fu, Chun Xiao:
A filter-augmented auto-encoder with learnable normalization for robust multivariate time series anomaly detection. Neural Networks 170: 478-493 (2024) - [j11]Bing Xue, Xin Gao, Baofeng Li, Feng Zhai, Jiansheng Lu, Jiahao Yu, Shiyuan Fu, Chun Xiao:
A robust multi-scale feature extraction framework with dual memory module for multivariate time series anomaly detection. Neural Networks 177: 106395 (2024) - 2023
- [j10]Guangyao Zhang, Xin Gao, Lei Wang, Bing Xue, Shiyuan Fu, Jiahao Yu, Zijian Huang, Xu Huang:
Probabilistic autoencoder with multi-scale feature extraction for multivariate time series anomaly detection. Appl. Intell. 53(12): 15855-15872 (2023) - [j9]Xin Jia, Xin Gao, Wenli Chen, Yingying Cheng, Zhihang Meng, Bing Xue, Zijian Huang, Shiyuan Fu:
Global reliable data generation for imbalanced binary classification with latent codes reconstruction and feature repulsion. Appl. Intell. 53(13): 16922-16960 (2023) - [j8]Bing Xue, Xin Gao, Feng Zhai, Baofeng Li, Jiahao Yu, Shiyuan Fu, Lingli Chen, Zhihang Meng:
A contrastive autoencoder with multi-resolution segment-consistency discrimination for multivariate time series anomaly detection. Appl. Intell. 53(23): 28655-28674 (2023) - [j7]Zijian Huang, Xin Gao, Wenli Chen, Yingying Cheng, Bing Xue, Zhihang Meng, Guangyao Zhang, Shiyuan Fu:
An imbalanced binary classification method via space mapping using normalizing flows with class discrepancy constraints. Inf. Sci. 623: 493-523 (2023) - [j6]Shiyuan Fu, Xin Gao, Baofeng Li, Bing Xue, Xin Jia, Zijian Huang, Guangyao Zhang, Xu Huang:
Two Outlier-Sensitive Measures for Semi-supervised Dynamic Ensemble Anomaly Detection Models. Neural Process. Lett. 55(3): 3429-3470 (2023) - [c1]Chao Li, Shiyuan Fu, Yiwen Jiao, Hongbin Ma, Wei Zhang, Chao Yun:
Improved Load Balancing Algorithm for a Novel Distributed Computing Framework Based on MultiObjective Optimization Algorithm. ICCEIC 2023: 394-399 - 2022
- [j5]Zhiyu Liu, Xin Gao, Xin Jia, Bing Xue, Shiyuan Fu, Kangsheng Li, Xu Huang, Zijian Huang:
Correlation-based feature partition regression method for unsupervised anomaly detection. Appl. Intell. 52(13): 15074-15090 (2022) - [j4]Kangsheng Li, Xin Gao, Xin Jia, Bing Xue, Shiyuan Fu, Zhiyu Liu, Xu Huang, Zijian Huang:
Detection of local and clustered outliers based on the density-distance decision graph. Eng. Appl. Artif. Intell. 110: 104719 (2022) - [j3]Kangsheng Li, Xin Gao, Shiyuan Fu, Xinping Diao, Ping Ye, Bing Xue, Jiahao Yu, Zijian Huang:
Robust outlier detection based on the changing rate of directed density ratio. Expert Syst. Appl. 207: 117988 (2022) - [j2]Xin Gao, Xin Jia, Jing Liu, Bing Xue, Zijian Huang, Shiyuan Fu, Guangyao Zhang, Kangsheng Li:
An ensemble contrastive classification framework for imbalanced learning with sample-neighbors pair construction. Knowl. Based Syst. 249: 109007 (2022) - [j1]Xin Gao, Jiahao Yu, Sen Zha, Shiyuan Fu, Bing Xue, Ping Ye, Zijian Huang, Guangyao Zhang:
An ensemble-based outlier detection method for clustered and local outliers with differential potential spread loss. Knowl. Based Syst. 258: 110003 (2022)
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