Shiyuan Fu

According to our database, Shiyuan Fu authored at least 13 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A time series anomaly detection method based on series-parallel transformers with spatial and temporal association discrepancies.

Shiyuan Fu, Xin Gao, Feng Zhai, Baofeng Li, Bing Xue, Jiahao Yu, Zhihang Meng, Guangyao Zhang

Inf. Sci., February, 2024

A feature-level mask self-supervised assisted learning approach based on transformer for remaining useful life prediction.

Bing Xue, Xin Gao, Shuwei Zhang, Ning Wang, Shiyuan Fu, Jiahao Yu, Guangyao Zhang, Zijian Huang

Intell. Data Anal., 2024

2023

A contrastive autoencoder with multi-resolution segment-consistency discrimination for multivariate time series anomaly detection.

Bing Xue, Xin Gao, Feng Zhai, Baofeng Li, Jiahao Yu, Shiyuan Fu, Lingli Chen, Zhihang Meng

Appl. Intell., December, 2023

Global reliable data generation for imbalanced binary classification with latent codes reconstruction and feature repulsion.

Xin Jia, Xin Gao, Wenli Chen, Yingying Cheng, Zhihang Meng, Bing Xue, Zijian Huang, Shiyuan Fu

Appl. Intell., July, 2023

Two Outlier-Sensitive Measures for Semi-supervised Dynamic Ensemble Anomaly Detection Models.

Shiyuan Fu, Xin Gao, Baofeng Li, Bing Xue, Xin Jia, Zijian Huang, Guangyao Zhang, Xu Huang

Neural Process. Lett., June, 2023

Probabilistic autoencoder with multi-scale feature extraction for multivariate time series anomaly detection.

Guangyao Zhang, Xin Gao, Lei Wang, Bing Xue, Shiyuan Fu, Jiahao Yu, Zijian Huang, Xu Huang

Appl. Intell., June, 2023

An imbalanced binary classification method via space mapping using normalizing flows with class discrepancy constraints.

Zijian Huang, Xin Gao, Wenli Chen, Yingying Cheng, Bing Xue, Zhihang Meng, Guangyao Zhang, Shiyuan Fu

Inf. Sci., April, 2023

Improved Load Balancing Algorithm for a Novel Distributed Computing Framework Based on MultiObjective Optimization Algorithm.

Chao Li, Shiyuan Fu, Yiwen Jiao, Hongbin Ma, Wei Zhang, Chao Yun

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.

Xin Gao, Jiahao Yu, Sen Zha, Shiyuan Fu, Bing Xue, Ping Ye, Zijian Huang, Guangyao Zhang

Knowl. Based Syst., 2022

An ensemble contrastive classification framework for imbalanced learning with sample-neighbors pair construction.

Xin Gao, Xin Jia, Jing Liu, Bing Xue, Zijian Huang, Shiyuan Fu, Guangyao Zhang, Kangsheng Li

Knowl. Based Syst., 2022

Robust outlier detection based on the changing rate of directed density ratio.

Kangsheng Li, Xin Gao, Shiyuan Fu, Xinping Diao, Ping Ye, Bing Xue, Jiahao Yu, Zijian Huang

Expert Syst. Appl., 2022

Detection of local and clustered outliers based on the density-distance decision graph.

Kangsheng Li, Xin Gao, Xin Jia, Bing Xue, Shiyuan Fu, Zhiyu Liu, Xu Huang, Zijian Huang

Eng. Appl. Artif. Intell., 2022

Correlation-based feature partition regression method for unsupervised anomaly detection.

Zhiyu Liu, Xin Gao, Xin Jia, Bing Xue, Shiyuan Fu, Kangsheng Li, Xu Huang, Zijian Huang

Appl. Intell., 2022