Qiang He - RankMe

52 papers B 7C 1Misc 11Journal 32

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A dual modal alignment method of rail image and axle box acceleration based on variable-scale pattern matching. Pattern Anal. Appl. Changlun Zhang, Guocui Zhang, Yu Cheng, Qiang He, Hengyou Wang, Jinzhao Liu
2026	J	`jnl`	Deep unfolding low-rank network for image denoising. Multim. Syst. Hengyou Wang, Yang Sun, Zhiming Liu, Qiang He
2025	J	`jnl`	FDC-Net: foreground dynamic capture with deep feature enhancement for video anomaly detection. Multim. Syst. Ruinian Shi, Qiang He, Hengyou Wang, Changlun Zhang
2025	J	`jnl`	Video anomaly detection based on multi-scale optical flow spatio-temporal enhancement and normality mining. Int. J. Mach. Learn. Cybern. Qiang He, Ruinian Shi, Linlin Chen, Lianzhi Huo
2024	J	`jnl`	Irregular adaptive refinement network for semantic segmentation of high-resolution remote sensing images. J. Intell. Fuzzy Syst. Lulu Deng, Changlun Zhang, Qiang He, Hengyou Wang, Lianzhi Huo, Haibing Mu
2024	J	`jnl`	Low-rank matrix recovery with total generalized variation for defending adversarial examples. Frontiers Inf. Technol. Electron. Eng. Wen Li, Hengyou Wang, Lianzhi Huo, Qiang He, Linlin Chen, Zhiquan He, Wing W. Y. Ng
2024	Misc	`conf`	Research on Attention-Based Multigranular Remote Sensing Image Extreme Object Detection Algorithm. ICMLC Meng Li, Eric C. C. Tsang, Weihua Xu, Qiang He
2023	J	`jnl`	ACAM-AD: Autocorrelation and attention mechanism-based anomaly detection in multivariate time series. J. Intell. Fuzzy Syst. Qiang He, Guanqun Wang, Lianzhi Huo, Hengyou Wang, Changlun Zhang
2023	J	`jnl`	Distance metric learning with local multiple kernel embedding. Int. J. Mach. Learn. Cybern. Qingshuo Zhang, Eric C. C. Tsang, Qiang He, Meng Hu
2023	J	`jnl`	Ensemble of kernel extreme learning machine based elimination optimization for multi-label classification. Knowl. Based Syst. Qingshuo Zhang, Eric C. C. Tsang, Qiang He, Yanting Guo
2023	J	`jnl`	Multiscale object detection based on channel and data enhancement at construction sites. Multim. Syst. Hengyou Wang, Yanfei Song, Lianzhi Huo, Linlin Chen, Qiang He
2023	J	`jnl`	Multivariate time-series anomaly detection via temporal convolutional and graph attention networks. J. Intell. Fuzzy Syst. Qiang He, Guanqun Wang, Hengyou Wang, Linlin Chen
2023	J	`jnl`	PU-FPG: Point cloud upsampling via form preserving graph convolutional networks. J. Intell. Fuzzy Syst. Haochen Wang, Changlun Zhang, Shuang Chen, Hengyou Wang, Qiang He, Haibing Mu
2023	J	`jnl`	Robust attention ranking architecture with frequency-domain transform to defend against adversarial samples. Comput. Vis. Image Underst. Wen Li, Hengyou Wang, Lianzhi Huo, Qiang He, Changlun Zhang
2022	J	`jnl`	Manifold spatial clustering via asymmetric convolutional denoising autoencoder. J. Intell. Fuzzy Syst. Mengyin Yang, Junfen Chen, Wenjie Wang, Qiang He
2022	J	`jnl`	PU-WGCN: Point Cloud Upsampling Using Weighted Graph Convolutional Networks. Remote. Sens. Fan Gu, Changlun Zhang, Hengyou Wang, Qiang He, Lianzhi Huo
2022	J	`jnl`	Structural smoothness low-rank matrix recovery via outlier estimation for image denoising. Multim. Syst. Hengyou Wang, Wen Li, Lujin Hu, Changlun Zhang, Qiang He
2021	Misc	`conf`	Fuzzt Set-Based Kernel Extreme Learning Machine Autoencoder for Multi-Label Classification. ICMLC Qingshuo Zhang, Eric C. C. Tsang, Meng Hu, Qiang He, Degang Chen
2020	J	`jnl`	Local Similarity-Based Fuzzy Multiple Kernel One-Class Support Vector Machine. Complex. Qiang He, Qingshuo Zhang, Hengyou Wang, Changlun Zhang
2020	J	`jnl`	MTAD-TF: Multivariate Time Series Anomaly Detection Using the Combination of Temporal Pattern and Feature Pattern. Complex. Qiang He, Yujing Zheng, Changlun Zhang, Heng-You Wang
2019	Misc	`conf`	An Acceleration Method for Computing Dominace Classes in Ordered Information System. ICMLC Yan Li, Jing Zhang, Qiang He, Siyuan Liu, Lujing Huo
2019	B	`conf`	Kernel-target Alignment Based Multiple Kernel One-class Support Vector Machine. SMC Qiang He, Qingshuo Zhang, Hengyou Wang
2018	J	`jnl`	Feature selection based on maximal neighborhood discernibility. Int. J. Mach. Learn. Cybern. Changzhong Wang, Qiang He, Mingwen Shao, Qinghua Hu
2018	J	`jnl`	Low-rank matrix recovery via smooth rank function and its application in image restoration. Int. J. Mach. Learn. Cybern. Hengyou Wang, Ruizhen Zhao, Yigang Cen, Liequan Liang, Qiang He, Fengzhen Zhang, Ming Zeng
2017	J	`jnl`	A unified information measure for general binary relations. Knowl. Based Syst. Changzhong Wang, Qiang He, Mingwen Shao, Yangyang Xu, Qinghua Hu
2016	Misc	`conf`	A fast positive-region reduction method based on dominance-equivalence relations. ICMLC Yongfei Jin, Yan Li, Qiang He
2016	J	`jnl`	Feature subset selection based on fuzzy neighborhood rough sets. Knowl. Based Syst. Changzhong Wang, Mingwen Shao, Qiang He, Yuhua Qian, Yali Qi
2016	Misc	`conf`	Matric completion based on TV norm regularization and its application in image restoration. ICMLC Heng-You Wang, Rui-Zhen Zhao, Yi-Gang Cen, Qiang He
2015	Misc	`conf`	Basic properties of fuzzy approximation operators under consistent functions. ICMLC Eric C. C. Tsang, Changzhong Wang, Yang Du, Qiang He
2014	J	`jnl`	A novel method for attribute reduction of covering decision systems. Inf. Sci. Changzhong Wang, Qiang He, Degang Chen, Qinghua Hu
2014	—	`ed.`	Machine Learning and Cybernetics - 13th International Conference, Lanzhou, China, July 13-16, 2014. Proceedings ICMLC (CCIS volume) Xizhao Wang, Witold Pedrycz, Patrick P. K. Chan, Qiang He
2013	J	`jnl`	A Comparative Study of Ordered and Covering Information Systems. Fundam. Informaticae Changzhong Wang, Degang Chen, Qiang He, Qinghua Hu
2012	Misc	`conf`	Case-based multi-task pathfinding algorithm. ICMLC Yan Li, Lan-Ming Su, Qiang He
2012	Misc	`conf`	Fuzzy rough sets based uncertainty measuring for stream based active learning. ICMLC Ran Wang, Sam Kwong, Degang Chen, Qiang He
2012	J	`jnl`	Geometrical interpretation and applications of membership functions with fuzzy rough sets. Fuzzy Sets Syst. Degang Chen, Sam Kwong, Qiang He, Hui Wang
2012	Misc	`conf`	Multi-criteria sorting method based on AHP and variable precision rough set. ICMLC Yan Li, Zhen Han, Qiang He
2011	J	`jnl`	Fuzzy rough set based attribute reduction for information systems with fuzzy decisions. Knowl. Based Syst. Qiang He, Congxin Wu, Degang Chen, Suyun Zhao
2011	J	`jnl`	Membership evaluation and feature selection for fuzzy support vector machine based on fuzzy rough sets. Soft Comput. Qiang He, Congxin Wu
2011	J	`jnl`	Neighborhood based sample and feature selection for SVM classification learning. Neurocomputing Qiang He, Zongxia Xie, Qinghua Hu, Congxin Wu
2011	J	`jnl`	Separating theorem of samples in Banach space for support vector machine learning. Int. J. Mach. Learn. Cybern. Qiang He, Congxin Wu
2010	B	`conf`	Active learning based on support vector machines. SMC Ran Wang, Sam Kwong, Qiang He
2010	B	`conf`	Different types of classifiers combination based on choquet integral. SMC Junfen Chen, Qiang He, Yan Li
2010	J	`jnl`	FRSVMs: Fuzzy rough set based support vector machines. Fuzzy Sets Syst. Degang Chen, Qiang He, Xizhao Wang
2010	B	`conf`	Least squares support vector machines based on fuzzy rough set. SMC Zhi-Wei Zhang, Degang Chen, Qiang He, Hui Wang
2010	B	`conf`	Side effect of cut in decision tree generation for continuous attributes. SMC Xizhao Wang, Xiang-Hui Gao, Qiang He
2007	J	`jnl`	On linear separability of data sets in feature space. Neurocomputing Degang Chen, Qiang He, Xizhao Wang
2006	B	`conf`	A Discussion of Attribute Reduction in Fuzzy Rough Sets Using Support Vector Machine. SMC Eric C. C. Tsang, Degang Chen, Suyun Zhao, Qiang He
2005	Misc	`conf`	A Method to Construct the Mapping to the Feature Space for the Dot Product Kernels. ICMLC Degang Chen, Qiang He, Chunru Dong, Xizhao Wang
2005	Misc	`conf`	A Parallel Genetic Algorithm for Solving the Inverse Problem of Support Vector Machines. ICMLC Qiang He, Xizhao Wang, Junfen Chen, Leifan Yan
2005	J	`jnl`	A genetic algorithm for solving the inverse problem of support vector machines. Neurocomputing Xizhao Wang, Qiang He, Degang Chen, Daniel S. Yeung
2005	C	`conf`	The Infinite Polynomial Kernel for Support Vector Machine. ADMA Degang Chen, Qiang He, Xizhao Wang
2004	B	`conf`	Enhancing Generalization Capability of SVM Classifiers with Feature Weight Adjustment. KES Xizhao Wang, Qiang He