Zhihang Meng

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 8

Top Topics

Classification Method

Anomaly Detection

Data Generation

Redundancy Allocation

Top Venues

Expert Syst. Appl.

Publications

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 (2024)
Zhihang Meng, Xin Gao, Feng Zhai, Baofeng Li, Chun Xiao, Qiangwei Li, Bing Xue, Jiansheng Lu
An imbalanced contrastive classification method via similarity comparison within sample-neighbors with adaptive generation coefficient. Inf. Sci. 662 (2024)
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 (2024)
Xiao Fang, Xin Gao, Baofeng Li, Feng Zhai, Yu Qin, Zhihang Meng, Jiansheng Lu, Chun Xiao
A Non-Uniform Low-Light Image Enhancement Method with Multi-Scale Attention Transformer and Luminance Consistency Loss. CoRR (2023)
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) (2023)
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 (2023)
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) (2023)
Xin Gao, Zhihang Meng, Xin Jia, Jing Liu, Xinping Diao, Bing Xue, Zijian Huang, Kangsheng Li
An imbalanced binary classification method based on contrastive learning using multi-label confidence comparisons within sample-neighbors pair. Neurocomputing 517 (2023)