Enhancing Generalization Capability of SVM Classifiers with Feature Weight Adjustment. - Xizhao Wang; Qiang He 003 (KES, 2004)

The Infinite Polynomial Kernel for Support Vector Machine. - Degang Chen 002; Qiang He 003; Xizhao Wang (ADMA, 2005)

A Method to Construct the Mapping to the Feature Space for the Dot Product Kernels. - Degang Chen 002; Qiang He 003; Chunru Dong; Xizhao Wang (ICMLC, 2005)

A Parallel Genetic Algorithm for Solving the Inverse Problem of Support Vector Machines. - Qiang He 003; Xizhao Wang; Junfen Chen; Leifan Yan (ICMLC, 2005)

A genetic algorithm for solving the inverse problem of support vector machines. - Xizhao Wang; Qiang He 003; Degang Chen 002; Daniel S. Yeung (Neurocomputing, 2005)

A Discussion of Attribute Reduction in Fuzzy Rough Sets Using Support Vector Machine. - Eric C. C. Tsang; Degang Chen 002; Suyun Zhao; Qiang He 003 (SMC, 2006)

On linear separability of data sets in feature space. - Degang Chen 002; Qiang He 003; Xizhao Wang (Neurocomputing, 2007)

Different types of classifiers combination based on choquet integral. - Junfen Chen; Qiang He 003; Yan Li 003 (SMC, 2010)

Side effect of cut in decision tree generation for continuous attributes. - Xizhao Wang; Xiang-Hui Gao; Qiang He 003 (SMC, 2010)

Active learning based on support vector machines. - Ran Wang 001; Sam Kwong; Qiang He 003 (SMC, 2010)

Least squares support vector machines based on fuzzy rough set. - Zhi-Wei Zhang; Degang Chen 002; Qiang He 003; Hui Wang 001 (SMC, 2010)

FRSVMs: Fuzzy rough set based support vector machines. - Degang Chen 002; Qiang He 003; Xizhao Wang (Fuzzy Sets Syst., 2010)

Neighborhood based sample and feature selection for SVM classification learning. - Qiang He 003; Zongxia Xie; Qinghua Hu; Congxin Wu (Neurocomputing, 2011)

Fuzzy rough set based attribute reduction for information systems with fuzzy decisions. - Qiang He 003; Congxin Wu; Degang Chen 002; Suyun Zhao (Knowl. Based Syst., 2011)

Separating theorem of samples in Banach space for support vector machine learning. - Qiang He 003; Congxin Wu (Int. J. Mach. Learn. Cybern., 2011)

Membership evaluation and feature selection for fuzzy support vector machine based on fuzzy rough sets. - Qiang He 003; Congxin Wu (Soft Comput., 2011)

Multi-criteria sorting method based on AHP and variable precision rough set. - Yan Li 003; Zhen Han; Qiang He 003 (ICMLC, 2012)

Case-based multi-task pathfinding algorithm. - Yan Li 003; Lan-Ming Su; Qiang He 003 (ICMLC, 2012)

Fuzzy rough sets based uncertainty measuring for stream based active learning. - Ran Wang 001; Sam Kwong; Degang Chen 002; Qiang He 003 (ICMLC, 2012)

Geometrical interpretation and applications of membership functions with fuzzy rough sets. - Degang Chen 002; Sam Kwong; Qiang He 003; Hui Wang 001 (Fuzzy Sets Syst., 2012)

A Comparative Study of Ordered and Covering Information Systems. - Changzhong Wang; Degang Chen 002; Qiang He 003; Qinghua Hu (Fundam. Informaticae, 2013)

A novel method for attribute reduction of covering decision systems. - Changzhong Wang; Qiang He 003; Degang Chen 002; Qinghua Hu (Inf. Sci., 2014)

Basic properties of fuzzy approximation operators under consistent functions. - Eric C. C. Tsang; Changzhong Wang; Yang Du; Qiang He 003 (ICMLC, 2015)

A fast positive-region reduction method based on dominance-equivalence relations. - Yongfei Jin; Yan Li 003; Qiang He 003 (ICMLC, 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 003 (ICMLC, 2016)

Feature subset selection based on fuzzy neighborhood rough sets. - Changzhong Wang; Mingwen Shao; Qiang He 003; Yuhua Qian; Yali Qi (Knowl. Based Syst., 2016)

A unified information measure for general binary relations. - Changzhong Wang; Qiang He 003; Mingwen Shao; Yangyang Xu; Qinghua Hu (Knowl. Based Syst., 2017)

Feature selection based on maximal neighborhood discernibility. - Changzhong Wang; Qiang He 003; Mingwen Shao; Qinghua Hu (Int. J. Mach. Learn. Cybern., 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 003; Fengzhen Zhang; Ming Zeng (Int. J. Mach. Learn. Cybern., 2018)

An Acceleration Method for Computing Dominace Classes in Ordered Information System. - Yan Li 003; Jing Zhang; Qiang He 003; Siyuan Liu; Lujing Huo (ICMLC, 2019)

Kernel-target Alignment Based Multiple Kernel One-class Support Vector Machine. - Qiang He 003; Qingshuo Zhang; Hengyou Wang (SMC, 2019)

Local Similarity-Based Fuzzy Multiple Kernel One-Class Support Vector Machine. - Qiang He 003; Qingshuo Zhang; Hengyou Wang; Changlun Zhang (Complex., 2020)

MTAD-TF: Multivariate Time Series Anomaly Detection Using the Combination of Temporal Pattern and Feature Pattern. - Qiang He 003; Y. J. Zheng; Changlun Zhang; Heng-You Wang (Complex., 2020)

Fuzzt Set-Based Kernel Extreme Learning Machine Autoencoder for Multi-Label Classification. - Qingshuo Zhang; Eric C. C. Tsang; Meng Hu; Qiang He 003; Degang Chen 002 (ICMLC, 2021)

Manifold spatial clustering via asymmetric convolutional denoising autoencoder. - Mengyin Yang; Junfen Chen; Wenjie Wang; Qiang He 003 (J. Intell. Fuzzy Syst., 2022)

Structural smoothness low-rank matrix recovery via outlier estimation for image denoising. - Hengyou Wang; Wen Li; Lujin Hu; Changlun Zhang; Qiang He 003 (Multim. Syst., 2022)

PU-WGCN: Point Cloud Upsampling Using Weighted Graph Convolutional Networks. - Fan Gu; Changlun Zhang; Hengyou Wang; Qiang He 003; Lianzhi Huo (Remote. Sens., 2022)

ACAM-AD: Autocorrelation and attention mechanism-based anomaly detection in multivariate time series. - Qiang He 003; Guanqun Wang; Lianzhi Huo; Hengyou Wang; Changlun Zhang (J. Intell. Fuzzy Syst., 2023)

Multivariate time-series anomaly detection via temporal convolutional and graph attention networks. - Qiang He 003; Guanqun Wang; Hengyou Wang; Linlin Chen (J. Intell. Fuzzy Syst., 2023)

Multiscale object detection based on channel and data enhancement at construction sites. - Hengyou Wang; Yanfei Song; Lianzhi Huo; Linlin Chen; Qiang He 003 (Multim. Syst., 2023)

Distance metric learning with local multiple kernel embedding. - Qingshuo Zhang; Eric C. C. Tsang; Qiang He 003; Meng Hu (Int. J. Mach. Learn. Cybern., 2023)

Robust attention ranking architecture with frequency-domain transform to defend against adversarial samples. - Wen Li; Hengyou Wang; Lianzhi Huo; Qiang He 003; Changlun Zhang (Comput. Vis. Image Underst., 2023)

Ensemble of kernel extreme learning machine based elimination optimization for multi-label classification. - Qingshuo Zhang; Eric C. C. Tsang; Qiang He 003; Yanting Guo (Knowl. Based Syst., 2023)

PU-FPG: Point cloud upsampling via form preserving graph convolutional networks. - Haochen Wang; Changlun Zhang; Shuang Chen; Hengyou Wang; Qiang He 003; Haibing Mu (J. Intell. Fuzzy Syst., 2023)

Research on Attention-Based Multigranular Remote Sensing Image Extreme Object Detection Algorithm. - Meng Li; Eric C. C. Tsang; Weihua Xu 003; Qiang He 003 (ICMLC, 2024)

Irregular adaptive refinement network for semantic segmentation of high-resolution remote sensing images. - Lulu Deng; Changlun Zhang; Qiang He 003; Hengyou Wang; Lianzhi Huo; Haibing Mu (J. Intell. Fuzzy Syst., 2024)

Low-rank matrix recovery with total generalized variation for defending adversarial examples. - Wen Li; Hengyou Wang; Lianzhi Huo; Qiang He 003; Linlin Chen; Zhiquan He; Wing W. Y. Ng (Frontiers Inf. Technol. Electron. Eng., 2024)

Video anomaly detection based on multi-scale optical flow spatio-temporal enhancement and normality mining. - Qiang He 003; Ruinian Shi; Linlin Chen; Lianzhi Huo (Int. J. Mach. Learn. Cybern., 2025)

FDC-Net: foreground dynamic capture with deep feature enhancement for video anomaly detection. - Ruinian Shi; Qiang He 003; Hengyou Wang; Changlun Zhang (Multim. Syst., 2025)