Qiang He

According to our database, Qiang He authored at least 21 papers between 2016 and 2024.

Collaborative distances:

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

2024

Low-rank matrix recovery with total generalized variation for defending adversarial examples.

Wen Li, Hengyou Wang, Lianzhi Huo, Qiang He, Linlin Chen, Zhiquan He, Wing W. Y. Ng

Frontiers Inf. Technol. Electron. Eng., March, 2024

2023

PU-FPG: Point cloud upsampling via form preserving graph convolutional networks.

Haochen Wang, Changlun Zhang, Shuang Chen, Hengyou Wang, Qiang He, Haibing Mu

J. Intell. Fuzzy Syst., November, 2023

Robust attention ranking architecture with frequency-domain transform to defend against adversarial samples.

Wen Li, Hengyou Wang, Lianzhi Huo, Qiang He, Changlun Zhang

Comput. Vis. Image Underst., August, 2023

Distance metric learning with local multiple kernel embedding.

Qingshuo Zhang, Eric C. C. Tsang, Qiang He, Meng Hu

Int. J. Mach. Learn. Cybern., January, 2023

Multiscale object detection based on channel and data enhancement at construction sites.

Hengyou Wang, Yanfei Song, Lianzhi Huo, Linlin Chen, Qiang He

Multim. Syst., 2023

Multivariate time-series anomaly detection via temporal convolutional and graph attention networks.

Qiang He, Guanqun Wang, Hengyou Wang, Linlin Chen

J. Intell. Fuzzy Syst., 2023

ACAM-AD: Autocorrelation and attention mechanism-based anomaly detection in multivariate time series.

Qiang He, Guanqun Wang, Lianzhi Huo, Hengyou Wang, Changlun Zhang

J. Intell. Fuzzy Syst., 2023

2022

PU-WGCN: Point Cloud Upsampling Using Weighted Graph Convolutional Networks.

Fan Gu, Changlun Zhang, Hengyou Wang, Qiang He, Lianzhi Huo

Remote. Sens., 2022

Structural smoothness low-rank matrix recovery via outlier estimation for image denoising.

Hengyou Wang, Wen Li, Lujin Hu, Changlun Zhang, Qiang He

Multim. Syst., 2022

Manifold spatial clustering via asymmetric convolutional denoising autoencoder.

Mengyin Yang, Junfen Chen, Wenjie Wang, Qiang He

J. Intell. Fuzzy Syst., 2022

2021

Fuzzt Set-Based Kernel Extreme Learning Machine Autoencoder for Multi-Label Classification.

Qingshuo Zhang, Eric C. C. Tsang, Meng Hu, Qiang He, Degang Chen

Proceedings of the International Conference on Machine Learning and Cybernetics, 2021

2020

MTAD-TF: Multivariate Time Series Anomaly Detection Using the Combination of Temporal Pattern and Feature Pattern.

Qiang He, Y. J. Zheng, Changlun Zhang, Heng-You Wang

Complex., 2020

Local Similarity-Based Fuzzy Multiple Kernel One-Class Support Vector Machine.

Qiang He, Qingshuo Zhang, Hengyou Wang, Changlun Zhang

Complex., 2020

2019

Kernel-target Alignment Based Multiple Kernel One-class Support Vector Machine.

Qiang He, Qingshuo Zhang, Hengyou Wang

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

An Acceleration Method for Computing Dominace Classes in Ordered Information System.

Yan Li, Jing Zhang, Qiang He, Siyuan Liu, Lujing Huo

Proceedings of the 2019 International Conference on Machine Learning and Cybernetics, 2019

2018

Low-rank matrix recovery via smooth rank function and its application in image restoration.

Hengyou Wang, Ruizhen Zhao, Yigang Cen, Liequan Liang, Qiang He, Fengzhen Zhang, Ming Zeng

Int. J. Mach. Learn. Cybern., 2018

Feature selection based on maximal neighborhood discernibility.

Changzhong Wang, Qiang He, Mingwen Shao, Qinghua Hu

Int. J. Mach. Learn. Cybern., 2018

2017

A unified information measure for general binary relations.

Changzhong Wang, Qiang He, Mingwen Shao, Yangyang Xu, Qinghua Hu

Knowl. Based Syst., 2017

2016

Feature subset selection based on fuzzy neighborhood rough sets.

Changzhong Wang, Mingwen Shao, Qiang He, Yuhua Qian, Yali Qi

Knowl. Based Syst., 2016

Matric completion based on TV norm regularization and its application in image restoration.

Heng-You Wang, Rui-Zhen Zhao, Yi-Gang Cen, Qiang He

Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

A fast positive-region reduction method based on dominance-equivalence relations.

Yongfei Jin, Yan Li, Qiang He

Proceedings of the International Conference on Machine Learning and Cybernetics, 2016