Qiang He

According to our database, Qiang He authored at least 45 papers between 2004 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

Irregular adaptive refinement network for semantic segmentation of high-resolution remote sensing images.

Lulu Deng, Changlun Zhang, Qiang He, Hengyou Wang, Lianzhi Huo, Haibing Mu

J. Intell. Fuzzy Syst., 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

A boundary optimization model of instance segmentation combined with wavelet transform on Buildings.

Chenchen Shi, Changlun Zhang, Lulu Deng, Qiang He, Hengyou Wang, Lianzhi Huo

J. Intell. Fuzzy 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

2014

A novel method for attribute reduction of covering decision systems.

Changzhong Wang, Qiang He, Degang Chen, Qinghua Hu

Inf. Sci., 2014

2013

A Comparative Study of Ordered and Covering Information Systems.

Changzhong Wang, Degang Chen, Qiang He, Qinghua Hu

Fundam. Informaticae, 2013

2012

Geometrical interpretation and applications of membership functions with fuzzy rough sets.

Degang Chen, Sam Kwong, Qiang He, Hui Wang

Fuzzy Sets Syst., 2012

Fuzzy rough sets based uncertainty measuring for stream based active learning.

Ran Wang, Sam Kwong, Degang Chen, Qiang He

Proceedings of the International Conference on Machine Learning and Cybernetics, 2012

Case-based multi-task pathfinding algorithm.

Yan Li, Lan-Ming Su, Qiang He

Proceedings of the International Conference on Machine Learning and Cybernetics, 2012

Multi-criteria sorting method based on AHP and variable precision rough set.

Yan Li, Zhen Han, Qiang He

Proceedings of the International Conference on Machine Learning and Cybernetics, 2012

2011

Membership evaluation and feature selection for fuzzy support vector machine based on fuzzy rough sets.

Qiang He, Congxin Wu

Soft Comput., 2011

Separating theorem of samples in Banach space for support vector machine learning.

Qiang He, Congxin Wu

Int. J. Mach. Learn. Cybern., 2011

Fuzzy rough set based attribute reduction for information systems with fuzzy decisions.

Qiang He, Congxin Wu, Degang Chen, Suyun Zhao

Knowl. Based Syst., 2011

Neighborhood based sample and feature selection for SVM classification learning.

Qiang He, Zongxia Xie, Qinghua Hu, Congxin Wu

Neurocomputing, 2011

2010

FRSVMs: Fuzzy rough set based support vector machines.

Degang Chen, Qiang He, Xizhao Wang

Fuzzy Sets Syst., 2010

Least squares support vector machines based on fuzzy rough set.

Zhi-Wei Zhang, Degang Chen, Qiang He, Hui Wang

Proceedings of the IEEE International Conference on Systems, 2010

Active learning based on support vector machines.

Ran Wang, Sam Kwong, Qiang He

Proceedings of the IEEE International Conference on Systems, 2010

Side effect of cut in decision tree generation for continuous attributes.

Xizhao Wang, Xiang-Hui Gao, Qiang He

Proceedings of the IEEE International Conference on Systems, 2010

Different types of classifiers combination based on choquet integral.

Junfen Chen, Qiang He, Yan Li

Proceedings of the IEEE International Conference on Systems, 2010

2007

On linear separability of data sets in feature space.

Degang Chen, Qiang He, Xizhao Wang

Neurocomputing, 2007

2006

A Discussion of Attribute Reduction in Fuzzy Rough Sets Using Support Vector Machine.

Eric C. C. Tsang, Degang Chen, Suyun Zhao, Qiang He

Proceedings of the IEEE International Conference on Systems, 2006

2005

A genetic algorithm for solving the inverse problem of support vector machines.

Xizhao Wang, Qiang He, Degang Chen, Daniel S. Yeung

Neurocomputing, 2005

A Parallel Genetic Algorithm for Solving the Inverse Problem of Support Vector Machines.

Qiang He, Xizhao Wang, Junfen Chen, Leifan Yan

Proceedings of the Advances in Machine Learning and Cybernetics, 2005

A Method to Construct the Mapping to the Feature Space for the Dot Product Kernels.

Degang Chen, Qiang He, Chunru Dong, Xizhao Wang

Proceedings of the Advances in Machine Learning and Cybernetics, 2005

The Infinite Polynomial Kernel for Support Vector Machine.

Degang Chen, Qiang He, Xizhao Wang

Proceedings of the Advanced Data Mining and Applications, First International Conference, 2005

2004

Enhancing Generalization Capability of SVM Classifiers with Feature Weight Adjustment.

Xizhao Wang, Qiang He

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004