Xunhua Huang

According to our database, Xunhua Huang authored at least 10 papers between 2021 and 2024.

Collaborative distances:

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

2024

Pseudo anomalies enhanced deep support vector data description for electrocardiogram quality assessment.

Xunhua Huang, Fengbin Zhang, Haoyi Fan, Huihui Chang, Bing Zhou, Zuoyong Li

Comput. Biol. Medicine, March, 2024

CaCo: Attributed Network Anomaly Detection via Canonical Correlation Analysis.

Ruidong Wang, Fengbin Zhang, Xunhua Huang, Chongrui Tian, Liang Xi, Haoyi Fan

IEEE Trans. Ind. Informatics, January, 2024

Deep joint adversarial learning for anomaly detection on attribute networks.

Haoyi Fan, Ruidong Wang, Xunhua Huang, Fengbin Zhang, Zuoyong Li, Shimei Su

Inf. Sci., January, 2024

Adaptive-Correlation-Aware Unsupervised Deep Learning for Anomaly Detection in Cyber-Physical Systems.

Liang Xi, Dehua Miao, Menghan Li, Ruidong Wang, Han Liu, Xunhua Huang

IEEE Trans. Dependable Secur. Comput., 2024

Bidirectional consistency with temporal-aware for semi-supervised time series classification.

Han Liu, Fengbin Zhang, Xunhua Huang, Ruidong Wang, Liang Xi

Neural Networks, 2024

Self-supervised multi-transformation learning for time series anomaly detection.

Han Han, Haoyi Fan, Xunhua Huang, Chuang Han

Expert Syst. Appl., 2024

2023

Unsupervised multimodal domain adversarial network for time series classification.

Liang Xi, Yujia Liang, Xunhua Huang, Han Liu, Ao Li

Inf. Sci., May, 2023

KalmanAE: Deep Embedding Optimized Kalman Filter for Time Series Anomaly Detection.

Xunhua Huang, Fengbin Zhang, Ruidong Wang, Xiaohui Lin, Han Liu, Haoyi Fan

IEEE Trans. Instrum. Meas., 2023

2022

Semi-supervised Time Series Classification Model with Self-supervised Learning.

Liang Xi, Zichao Yun, Han Liu, Ruidong Wang, Xunhua Huang, Haoyi Fan

Eng. Appl. Artif. Intell., 2022

2021

Semi-Supervised Time Series Classification by Temporal Relation Prediction.

Haoyi Fan, Fengbin Zhang, Ruidong Wang, Xunhua Huang, Zuoyong Li

Proceedings of the IEEE International Conference on Acoustics, 2021