Xinping Diao

According to our database, Xinping Diao authored at least 13 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Memory-guided mask reconstruction with central contrastive learning for robust multivariate time series anomaly detection.

Le He, Xin Gao, Xinping Diao, Yuan Li, Chengming Tian, Yukun Lin, Bing Xue, Taizhi Wang

Neural Networks, 2026

Adaptive sample repulsion against class-specific counterfactuals for explainable imbalanced classification.

Yu Hao, Xin Gao, Xinping Diao, Yuan Li, Yukun Lin, Tianyang Chen, Qiangwei Li, Jiawen Lu

Neural Networks, 2026

Uncertainty-aware memory-enhanced cross-window dependency learning for robust multivariate time series anomaly detection.

Bing Xue, Xin Gao, Xinping Diao, Haibo Yu, Yuan Li, Tianyang Chen, Huiting Xu, Yinglan Liu

Inf. Process. Manag., 2026

An imbalanced classification framework with serialized neighbor samples commonality extraction and conditional variational latent space optimization.

Qiangwei Li, Xin Gao, Yuan Li, Xinping Diao, Tianyang Chen, Yukun Lin, Taizhi Wang, Yu Hao

Inf. Process. Manag., 2026

An Adversarial Filtering Framework With Time-Frequency Cross-Domain Consistency for Multivariate Time-Series Anomaly Detection.

Bing Xue, Xin Gao, Xinping Diao, Yuan Li, Tianyang Chen, Yukun Lin, Hong Chen, Yinglan Liu

IEEE Internet Things J., 2026

A dual-path fusion network with reconstruction and discrimination for zero-shot multivariate time series anomaly detection.

Taizhi Wang, Xin Gao, Xinping Diao, Yuan Li, Haibo Yu, Yukun Lin, Huiting Xu, Yinglan Liu

Neurocomputing, 2026

2025

Multivariate time series anomaly detection with heterogeneous-aware channel independence and global-local channel dependence.

Lingli Chen, Xin Gao, Haibo Yu, Yuan Li, Xinping Diao, Yukun Lin, Taizhi Wang, Le He

Knowl. Based Syst., 2025

A multivariate time series anomaly detection method with Multi-Grain Dynamic Receptive Field.

Lingli Chen, Xin Gao, Jing Liu, Yunkai Zhang, Xinping Diao, Taizhi Wang, Jiawen Lu, Zhihang Meng

Knowl. Based Syst., 2025

An adversarial transfer imbalanced classification framework via cross-category commonality information extraction and joint discrimination.

Zhihang Meng, Xin Gao, Huang Tan, Haibo Yu, Xinping Diao, Tianyang Chen, Qiangwei Li, Yu Hao

Expert Syst. Appl., 2025

2023

An imbalanced binary classification method based on contrastive learning using multi-label confidence comparisons within sample-neighbors pair.

Xin Gao, Zhihang Meng, Xin Jia, Jing Liu, Xinping Diao, Bing Xue, Zijian Huang, Kangsheng Li

Neurocomputing, 2023

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

2021

A multiclass classification using one-versus-all approach with the differential partition sampling ensemble.

Xin Gao, Yang He, Mi Zhang, Xinping Diao, Xiao Jing, Bing Ren, Weijia Ji

Eng. Appl. Artif. Intell., 2021

2017

An improved XGBoost based on weighted column subsampling for object classification.

Xin Gao, Shaohua Fan, Xinpeng Li, Ziming Guo, Hao Zhang, Yuexing Peng, Xinping Diao

Proceedings of the 4th International Conference on Systems and Informatics, 2017