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Yuhua Qian
Yu-Hua Qian
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2020 – today
- 2025
- [j190]Qihang Guo, Xibei Yang, Ming Li
, Yuhua Qian:
Collaborative graph neural networks for augmented graphs: A local-to-global perspective. Pattern Recognit. 158: 111020 (2025) - 2024
- [j189]Song Luo, Nian Han
Secure Sharing of Electronic Medical Records Based on Blockchain. Int. J. Distributed Sens. Networks 2024: 1-17 (2024) - [j188]Yuge Wang, Xibei Yang, Qiguo Sun
Purity Skeleton Dynamic Hypergraph Neural Network. Neurocomputing 610: 128539 (2024) - [j187]Yan Chen, Liang Du
Multiple kernel clustering with local kernel reconstruction and global heat diffusion. Inf. Fusion 105: 102219 (2024) - [j186]Doudou Guo, Weihua Xu, Weiping Ding, Yiyu Yao, Xizhao Wang, Witold Pedrycz, Yuhua Qian:
Concept-cognitive learning survey: Mining and fusing knowledge from data. Inf. Fusion 109: 102426 (2024) - [j185]Song Luo, Tan Hu
A Smart-Contract-Based Policy-Domain Access Control Framework for Distributed Industrial IoT. IEEE Internet Things J. 11(7): 11427-11443 (2024) - [j184]Zipeng Fan
Quantum-inspired language models based on unitary transformation. Inf. Process. Manag. 61(4): 103741 (2024) - [j183]Zhijun Guo, Yang Shen, Tian Yang, Yuan-Jiang Li
Semi-supervised feature selection based on fuzzy related family. Inf. Sci. 652: 119660 (2024) - [j182]Zhangjian Ji, Kai Feng, Yuhua Qian, Jiye Liang
Sparse regularized correlation filter for UAV object tracking with adaptive contextual learning and keyfilter selection. Inf. Sci. 658: 120013 (2024) - [j181]Hui Cong, Qiguo Sun
Enhancing graph convolutional networks with progressive granular ball sampling fusion: A novel approach to efficient and accurate GCN training. Inf. Sci. 676: 120831 (2024) - [j180]Keyin Zheng, Yuhua Qian, Zhian Yuan
Centrosymmetric constrained Convolutional Neural Networks. Int. J. Mach. Learn. Cybern. 15(7): 2749-2760 (2024) - [j179]Chao Wen, Hongqiang He, Yuhua Qian, Yu Xie, Wenjian Wang:
Fourier feature decorrelation based sample attention for dense crowd localization. Neural Networks 172: 106131 (2024) - [j178]Changzhong Wang
Low-Rank Multilabel Learning Based on Nonlinear Mapping. IEEE Trans. Artif. Intell. 5(6): 2693-2707 (2024) - [j177]Yayu Zhang, Yuhua Qian
ESSR: Evolving Sparse Sharing Representation for Multitask Learning. IEEE Trans. Evol. Comput. 28(3): 748-762 (2024) - [j176]Xiaoyuan Deng
An Emerging Incremental Fuzzy Concept-Cognitive Learning Model Based on Granular Computing and Conceptual Knowledge Clustering. IEEE Trans. Emerg. Top. Comput. Intell. 8(3): 2417-2432 (2024) - [j175]Doudou Guo
Fuzzy-Granular Concept-Cognitive Learning via Three-Way Decision: Performance Evaluation on Dynamic Knowledge Discovery. IEEE Trans. Fuzzy Syst. 32(3): 1409-1423 (2024) - [j174]Yi Ding
IFCRL: Interval-Intent Fuzzy Concept Re-Cognition Learning Model. IEEE Trans. Fuzzy Syst. 32(6): 3581-3593 (2024) - [j173]Changzhong Wang
Feature Selection Based on Weighted Fuzzy Rough Sets. IEEE Trans. Fuzzy Syst. 32(7): 4027-4037 (2024) - [j172]Jianming Zhan
A Fuzzy C-Means Clustering-Based Hybrid Multivariate Time Series Prediction Framework With Feature Selection. IEEE Trans. Fuzzy Syst. 32(8): 4270-4284 (2024) - [j171]Shilin Gu
Learning With Incremental Instances and Features. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9713-9727 (2024) - [j170]Weihua Xu
Graph-Based Unsupervised Feature Selection for Interval-Valued Information System. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12576-12589 (2024) - [j169]Lu Chen, Mingdi Niu, Jing Yang, Yuhua Qian, Zhuomao Li, Keqi Wang, Tao Yan, Panfeng Huang:
Robotic Grasp Detection Using Structure Prior Attention and Multiscale Features. IEEE Trans. Syst. Man Cybern. Syst. 54(11): 7039-7053 (2024) - [c34]Xinyan Liang, Pinhan Fu, Qian Guo, Keyin Zheng, Yuhua Qian:
DC-NAS: Divide-and-Conquer Neural Architecture Search for Multi-Modal Classification. AAAI 2024: 13754-13762 - [c33]Yayu Zhang, Yuhua Qian, Guoshuai Ma, Keyin Zheng, Guoqing Liu, Qingfu Zhang:
Learning Multi-Task Sparse Representation Based on Fisher Information. AAAI 2024: 16899-16907 - [c32]Feng Cao, Chang Liu, Deyu Li, Yuhua Qian, Chao Zhang
Local and Global Feature Adaptive Adjustment Network for Remote Sensing Image Scene Classification. ICASSP 2024: 5580-5584 - [c31]Jue Li, Yuhua Qian, Jieting Wang, Saixiong Liu:
PHSIC against Random Consistency and Its Application in Causal Inference. IJCAI 2024: 2108-2116 - [c30]Zhanwen Cheng, Feijiang Li, Jieting Wang, Yuhua Qian:
Deep Embedding Clustering Driven by Sample Stability. IJCAI 2024: 3854-3862 - [c29]Pinhan Fu, Xinyan Liang, Tingjin Luo, Qian Guo, Yayu Zhang, Yuhua Qian:
Core-Structures-Guided Multi-Modal Classification Neural Architecture Search. IJCAI 2024: 3980-3988 - [c28]Furong Peng
TSC: A Simple Two-Sided Constraint against Over-Smoothing. KDD 2024: 2376-2387 - [i10]Zhanwen Cheng, Feijiang Li, Jieting Wang, Yuhua Qian:
Deep Embedding Clustering Driven by Sample Stability. CoRR abs/2401.15989 (2024) - [i9]Furong Peng, Kang Liu, Xuan Lu, Yuhua Qian, HongRen Yan, Chao Ma:
TSC: A Simple Two-Sided Constraint against Over-Smoothing. CoRR abs/2408.03152 (2024) - 2023
- [j168]Jing Ba, Keyu Liu, Xibei Yang, Yuhua Qian:
Gift: granularity over specific-class for feature selection. Artif. Intell. Rev. 56(10): 12201-12232 (2023) - [j167]Zhenyu Yin, Xibei Yang, Pingxin Wang
Ensemble selector mixed with pareto optimality to feature reduction. Appl. Soft Comput. 148: 110877 (2023) - [j166]Keyin Zheng, Yuhua Qian, Honghong Cheng:
How to describe the spatial near-far relations among concepts? Int. J. Approx. Reason. 156: 97-113 (2023) - [j165]Kun Sun
A unified feature-spatial cycle consistency fusion framework for robust image matching. Inf. Fusion 97: 101810 (2023) - [j164]Doudou Guo
M-FCCL: Memory-based concept-cognitive learning for dynamic fuzzy data classification and knowledge fusion. Inf. Fusion 100: 101962 (2023) - [j163]Changzhong Wang, Xiang Lv, Mingwen Shao, Yuhua Qian, Yang Zhang:
A novel fuzzy hierarchical fusion attention convolution neural network for medical image super-resolution reconstruction. Inf. Sci. 622: 424-436 (2023) - [j162]Yi Kou, Guoping Lin, Yuhua Qian, Shujiao Liao:
A novel multi-label feature selection method with association rules and rough set. Inf. Sci. 624: 299-323 (2023) - [j161]Tian Yang, Jie Liang, Yan Pang, Pengyu Xie, Yuhua Qian, Ruili Wang:
An efficient feature selection algorithm based on the description vector and hypergraph. Inf. Sci. 629: 746-759 (2023) - [j160]Jieting Wang, Yuhua Qian
Generalization Performance of Pure Accuracy and its Application in Selective Ensemble Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1798-1816 (2023) - [j159]Chenping Hou
Incremental Learning for Simultaneous Augmentation of Feature and Class. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14789-14806 (2023) - [j158]Feng Cao, Bing Xing, Jiancheng Luo, Deyu Li, Yuhua Qian, Chao Zhang
An Efficient Object Detection Algorithm Based on Improved YOLOv5 for High-Spatial-Resolution Remote Sensing Images. Remote. Sens. 15(15): 3755 (2023) - [j157]Qian Liu
AWLloss: Speaker Verification Based on the Quality and Difficulty of Speech. IEEE Signal Process. Lett. 30: 1337-1341 (2023) - [j156]Weihua Xu
A Novel Dynamic Fusion Approach Using Information Entropy for Interval-Valued Ordered Datasets. IEEE Trans. Big Data 9(3): 845-859 (2023) - [j155]Jianhua Dai
Multifuzzy $\beta$-Covering Approximation Spaces and Their Information Measures. IEEE Trans. Fuzzy Syst. 31(3): 955-969 (2023) - [j154]Weihua Xu
Two-Way Concept-Cognitive Learning Method: A Fuzzy-Based Progressive Learning. IEEE Trans. Fuzzy Syst. 31(6): 1885-1899 (2023) - [j153]Wentao Li
Feature Selection Approach Based on Improved Fuzzy C-Means With Principle of Refined Justifiable Granularity. IEEE Trans. Fuzzy Syst. 31(7): 2112-2126 (2023) - [j152]Feijiang Li, Jieting Wang, Yuhua Qian
Fuzzy Ensemble Clustering Based on Self-Coassociation and Prototype Propagation. IEEE Trans. Fuzzy Syst. 31(10): 3610-3623 (2023) - [j151]Tian Yang
Consistent Matrix: A Feature Selection Framework for Large-Scale Datasets. IEEE Trans. Fuzzy Syst. 31(11): 4024-4038 (2023) - [j150]Honghong Cheng, Yuhua Qian
Neighborhood Information-Based Method for Multivariate Association Mining. IEEE Trans. Knowl. Data Eng. 35(6): 6126-6135 (2023) - [j149]Tian Yang
Local Feature Selection for Large-Scale Data Sets With Limited Labels. IEEE Trans. Knowl. Data Eng. 35(7): 7152-7163 (2023) - [j148]Weihua Xu
Two-Way Concept-Cognitive Learning via Concept Movement Viewpoint. IEEE Trans. Neural Networks Learn. Syst. 34(10): 6798-6812 (2023) - [c27]Qianli Ma, Chenzhi Wang, Zheng Fan, Yuhua Qian:
Adaptive Propagation Network Based on Multi-scale Information Fusion. ICANN (8) 2023: 51-62 - [c26]Qianli Ma, Zheng Fan, Chenzhi Wang, Yuhua Qian:
Adaptive Randomized Graph Neural Network Based on Markov Diffusion Kernel. ICANN (4) 2023: 253-264 - 2022
- [j147]Qian Guo, Yuhua Qian, Xinyan Liang
GLRM: Logical pattern mining in the case of inconsistent data distribution based on multigranulation strategy. Int. J. Approx. Reason. 143: 78-101 (2022) - [j146]Qian Guo, Yuhua Qian, Xinyan Liang:
Corrigendum to "GLRM: Logical pattern mining in the case of inconsistent data distribution based on multigranulation strategy" [Int. J. Approx. Reason. 143 (2022) 78-101]. Int. J. Approx. Reason. 151: 271 (2022) - [j145]Shujiao Liao
Attribute-scale selection for hybrid data with test cost constraint: The approach and uncertainty measures. Int. J. Intell. Syst. 37(6): 3297-3333 (2022) - [j144]Yu Wang, Qinghua Hu, Hao Chen, Yuhua Qian:
Uncertainty instructed multi-granularity decision for large-scale hierarchical classification. Inf. Sci. 586: 644-661 (2022) - [j143]Yan Chen, Xibei Yang, Jinhai Li, Pingxin Wang, Yuhua Qian:
Fusing attribute reduction accelerators. Inf. Sci. 587: 354-370 (2022) - [j142]Guoshuai Ma, Yuhua Qian, Yayu Zhang, HongRen Yan, Honghong Cheng, Zhiguo Hu:
The recognition of kernel research team. J. Informetrics 16(4): 101339 (2022) - [j141]Wenbin Qian, Chuanzhen Xiong, Yuhua Qian, Yinglong Wang:
Label enhancement-based feature selection via fuzzy neighborhood discrimination index. Knowl. Based Syst. 250: 109119 (2022) - [j140]Qian Guo, Yuhua Qian
Multi-granulation Multi-scale Relation Network for Abstract Reasoning. Int. J. Mach. Learn. Cybern. 13(6): 1751-1762 (2022) - [j139]Feijiang Li, Yuhua Qian
Clustering mixed type data: a space structure-based approach. Int. J. Mach. Learn. Cybern. 13(9): 2799-2812 (2022) - [j138]Chao Zhang
Enhanced Group Sparse Regularized Nonconvex Regression for Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2438-2452 (2022) - [j137]Xinyan Liang
AF: An Association-Based Fusion Method for Multi-Modal Classification. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9236-9254 (2022) - [j136]Hongyinping Feng
A Linear Differentiator Based on the Extended Dynamics Approach. IEEE Trans. Autom. Control. 67(12): 6962-6967 (2022) - [j135]Yu Xie
Active and Semi-Supervised Graph Neural Networks for Graph Classification. IEEE Trans. Big Data 8(4): 920-932 (2022) - [j134]Tianxing Wang
A Regret-Based Three-Way Decision Model Under Interval Type-2 Fuzzy Environment. IEEE Trans. Fuzzy Syst. 30(1): 175-189 (2022) - [j133]Lin Sun
Feature Selection With Missing Labels Using Multilabel Fuzzy Neighborhood Rough Sets and Maximum Relevance Minimum Redundancy. IEEE Trans. Fuzzy Syst. 30(5): 1197-1211 (2022) - [j132]Zhehuang Huang
Noise-Tolerant Fuzzy-$\beta$-Covering-Based Multigranulation Rough Sets and Feature Subset Selection. IEEE Trans. Fuzzy Syst. 30(7): 2721-2735 (2022) - [j131]Changzhong Wang
Feature Selection With Fuzzy-Rough Minimum Classification Error Criterion. IEEE Trans. Fuzzy Syst. 30(8): 2930-2942 (2022) - [j130]Shilin Gu
Incremental Feature Spaces Learning with Label Scarcity. ACM Trans. Knowl. Discov. Data 16(6): 106:1-106:26 (2022) - [j129]Chao Zhang
Locality-Constrained Discriminative Matrix Regression for Robust Face Identification. IEEE Trans. Neural Networks Learn. Syst. 33(3): 1254-1268 (2022) - [j128]Chao Wen
A Tensor Generalized Weighted Linear Predictor for FDA-MIMO Radar Parameter Estimation. IEEE Trans. Veh. Technol. 71(6): 6059-6072 (2022) - [i8]Keqi Wang, Ziteng Cui, Ge Wu, Yin Zhuang, Yuhua Qian:
Linear Array Network for Low-light Image Enhancement. CoRR abs/2201.08996 (2022) - [i7]Zhangjian Ji, Kai Feng, Yuhua Qian, Jiye Liang
Sparse Regularized Correlation Filter for UAV Object Tracking with adaptive Contextual Learning and Keyfilter Selection. CoRR abs/2205.03627 (2022) - [i6]Zhangjian Ji, Zilong Wang, Ming Zhang, Yapeng Chen, Yuhua Qian:
2D Human Pose Estimation with Explicit Anatomical Keypoints Structure Constraints. CoRR abs/2212.02163 (2022) - 2021
- [j127]Zehua Jiang, Huili Dou, Jingjing Song, Pingxin Wang, Xibei Yang, Yuhua Qian:
Data-guided multi-granularity selector for attribute reduction. Appl. Intell. 51(2): 876-888 (2021) - [j126]Zehua Jiang, Keyu Liu, Jingjing Song, Xibei Yang, Jinhai Li
Accelerator for crosswise computing reduct. Appl. Soft Comput. 98: 106740 (2021) - [j125]Yali Lv, Junzhong Miao, Jiye Liang
BIC-based node order learning for improving Bayesian network structure learning. Frontiers Comput. Sci. 15(6): 156337 (2021) - [j124]Jue Li, Feng Cao
Learning the number of filters in convolutional neural networks. Int. J. Bio Inspired Comput. 17(2): 75-84 (2021) - [j123]Gaoxia Jiang, Wenjian Wang, Yuhua Qian, Jiye Liang:
A Unified Sample Selection Framework for Output Noise Filtering: An Error-Bound Perspective. J. Mach. Learn. Res. 22: 18:1-18:66 (2021) - [j122]Guoshuai Ma, HongRen Yan, Yuhua Qian
Path-based estimation for link prediction. Int. J. Mach. Learn. Cybern. 12(9): 2443-2458 (2021) - [j121]Guoshuai Ma, HongRen Yan, Yuhua Qian
Correction to: Path-based estimation for link prediction. Int. J. Mach. Learn. Cybern. 12(9): 2459 (2021) - [j120]Qian Guo, Yuhua Qian
Logic could be learned from images. Int. J. Mach. Learn. Cybern. 12(12): 3397-3414 (2021) - [j119]Jing Pan, Yuhua Qian, Feijiang Li, Qian Guo:
Image deep clustering based on local-topology embedding. Pattern Recognit. Lett. 151: 88-94 (2021) - [j118]Chao Zhang
Pairwise Relations Oriented Discriminative Regression. IEEE Trans. Circuits Syst. Video Technol. 31(7): 2646-2660 (2021) - [j117]Xinyan Liang
Evolutionary Deep Fusion Method and its Application in Chemical Structure Recognition. IEEE Trans. Evol. Comput. 25(5): 883-893 (2021) - [j116]Lin Sun
Feature Selection Using Fuzzy Neighborhood Entropy-Based Uncertainty Measures for Fuzzy Neighborhood Multigranulation Rough Sets. IEEE Trans. Fuzzy Syst. 29(1): 19-33 (2021) - [c25]Feijiang Li, Yuhua Qian, Jieting Wang:
GoT: a Growing Tree Model for Clustering Ensemble. AAAI 2021: 8349-8356 - [i5]Yudong Liang, Bin Wang, Jiaying Liu, Deyu Li, Yuhua Qian, Wenqi Ren:
Progressive residual learning for single image dehazing. CoRR abs/2103.07973 (2021) - 2020
- [j115]Yali Lv
A naive learning algorithm for class-bridge-decomposable multidimensional Bayesian network classifiers. Concurr. Comput. Pract. Exp. 32(19) (2020) - [j114]Zehua Jiang, Keyu Liu, Xibei Yang, Hualong Yu
Accelerator for supervised neighborhood based attribute reduction. Int. J. Approx. Reason. 119: 122-150 (2020) - [j113]Jianmin Ma, Wenxiu Zhang, Yuhua Qian:
Dependence space models to construct concept lattices. Int. J. Approx. Reason. 123: 1-16 (2020) - [j112]Yan Chen, Keyu Liu, Jingjing Song, Hamido Fujita
Attribute group for attribute reduction. Inf. Sci. 535: 64-80 (2020) - [j111]Tao Yan, Peng Wu, Yuhua Qian
Multiscale fusion and aggregation PCNN for 3D shape recovery. Inf. Sci. 536: 277-297 (2020) - [j110]Lin Sun
Multilabel feature selection using ML-ReliefF and neighborhood mutual information for multilabel neighborhood decision systems. Inf. Sci. 537: 401-424 (2020) - [j109]Xiansheng Rao, Keyu Liu, Jingjing Song, Xibei Yang, Yuhua Qian:
Gaussian kernel fuzzy rough based attribute reduction: An acceleration approach. J. Intell. Fuzzy Syst. 39(1): 679-695 (2020) - [j108]Lin Sun, Lanying Wang, Weiping Ding, Yuhua Qian, Jiucheng Xu:
Neighborhood multi-granulation rough sets-based attribute reduction using Lebesgue and entropy measures in incomplete neighborhood decision systems. Knowl. Based Syst. 192: 105373 (2020) - [j107]Xiansheng Rao, Xibei Yang, Xin Yang, Xiangjian Chen, Dun Liu, Yuhua Qian:
Quickly calculating reduct: An attribute relationship based approach. Knowl. Based Syst. 200: 106014 (2020) - [j106]Jieting Wang, Yuhua Qian
Learning with mitigating random consistency from the accuracy measure. Mach. Learn. 109(12): 2247-2281 (2020) - [j105]Tao Yan, Zhiguo Hu, Yuhua Qian
3D shape reconstruction from multifocus image fusion using a multidirectional modified Laplacian operator. Pattern Recognit. 98 (2020) - [j104]Peng Zhou
Unsupervised feature selection with adaptive multiple graph learning. Pattern Recognit. 105: 107375 (2020) - [j103]Changzhong Wang
Fuzzy Rough Attribute Reduction for Categorical Data. IEEE Trans. Fuzzy Syst. 28(5): 818-830 (2020) - [j102]Jieting Wang, Yuhua Qian
Fusing Fuzzy Monotonic Decision Trees. IEEE Trans. Fuzzy Syst. 28(5): 887-900 (2020) - [j101]Tian Yang
Granular Matrix: A New Approach for Granular Structure Reduction and Redundancy Evaluation. IEEE Trans. Fuzzy Syst. 28(12): 3133-3144 (2020) - [j100]Hong Tao
Latent Complete Row Space Recovery for Multi-View Subspace Clustering. IEEE Trans. Image Process. 29: 8083-8096 (2020) - [j99]Kun Sun
Guide to Match: Multi-Layer Feature Matching With a Hybrid Gaussian Mixture Model. IEEE Trans. Multim. 22(9): 2246-2261 (2020) - [i4]Keqi Wang, Peng Gao, Steven C. H. Hoi, Qian Guo, Yuhua Qian:
Extreme Low-Light Imaging with Multi-granulation Cooperative Networks. CoRR abs/2005.08001 (2020)
2010 – 2019
- 2019
- [j98]Feijiang Li
Clustering ensemble based on sample's stability. Artif. Intell. 273: 37-55 (2019) - [j97]Lin Sun, Xiaoyu Zhang, Yu-Hua Qian, Jiucheng Xu
Joint neighborhood entropy-based gene selection method with fisher score for tumor classification. Appl. Intell. 49(4): 1245-1259 (2019) - [j96]Xibei Yang, Shaochen Liang
Pseudo-label neighborhood rough set: Measures and attribute reductions. Int. J. Approx. Reason. 105: 112-129 (2019) - [j95]Honghong Cheng, Yuhua Qian, Yan Wu, Qian Guo, Yong Li:
Diversity-induced fuzzy clustering. Int. J. Approx. Reason. 106: 89-106 (2019) - [j94]Jianmin Ma, Lingling Hu
Object-oriented interval-set concept lattices. Int. J. Approx. Reason. 110: 64-81 (2019) - [j93]Yali Lv, Jiye Liang
Sign fusion of multiple QPNs based on qualitative mutual information. Int. J. Comput. Sci. Eng. 19(1): 36-45 (2019) - [j92]Lin Sun
Feature selection using neighborhood entropy-based uncertainty measures for gene expression data classification. Inf. Sci. 502: 18-41 (2019) - [j91]Keyu Liu
An efficient selector for multi-granularity attribute reduction. Inf. Sci. 505: 457-472 (2019) - [j90]Zhangjian Ji
Part-based visual tracking via structural support correlation filter. J. Vis. Commun. Image Represent. 64 (2019) - [j89]Zehua Jiang, Xibei Yang, Hualong Yu
Accelerator for multi-granularity attribute reduction. Knowl. Based Syst. 177: 145-158 (2019) - [j88]Lin Sun, Lanying Wang, Yuhua Qian, Jiucheng Xu, Shiguang Zhang:
Feature selection using Lebesgue and entropy measures for incomplete neighborhood decision systems. Knowl. Based Syst. 186 (2019) - [j87]Shujiao Liao
Feature-granularity selection with variable costs for hybrid data. Soft Comput. 23(24): 13105-13126 (2019) - [j86]Anhui Tan
Intuitionistic Fuzzy Rough Set-Based Granular Structures and Attribute Subset Selection. IEEE Trans. Fuzzy Syst. 27(3): 527-539 (2019) - [j85]Huafeng Liu
Adaptive Local Low-rank Matrix Approximation for Recommendation. ACM Trans. Inf. Syst. 37(4): 45:1-45:34 (2019) - [c24]Qian Guo, Yuhua Qian, Xinyan Liang:
Mining Logic Patterns from Visual Data. ICDM Workshops 2019: 620-627 - [c23]Feijiang Li, Yuhua Qian, Jieting Wang:
Prototype Propagation Clustering Based on Large Margin. ICDM Workshops 2019: 639-645 - [i3]Qian Guo, Yuhua Qian, Xinyan Liang, Yanhong She, Deyu Li, Jiye Liang:
Logic could be learned from images. CoRR abs/1908.01931 (2019) - [i2]Hong Tao, Chenping Hou, Yuhua Qian, Jubo Zhu, Dongyun Yi:
Latent Complete Row Space Recovery for Multi-view Subspace Clustering. CoRR abs/1912.07248 (2019) - 2018
- [j84]Peng Song, Jiye Liang
A cautious ranking methodology with its application for stock screening. Appl. Soft Comput. 71: 835-848 (2018) - [j83]Yuhua Qian, Xinyan Liang, Qi Wang, Jiye Liang
Local rough set: A solution to rough data analysis in big data. Int. J. Approx. Reason. 97: 38-63 (2018) - [j82]Yanhong She, Xiaoli He, Yuhua Qian, Weihua Xu
A quantitative approach to reasoning about incomplete knowledge. Inf. Sci. 451-452: 100-111 (2018) - [j81]Zhongying Zhao
Identifying advisor-advisee relationships from co-author networks via a novel deep model. Inf. Sci. 466: 258-269 (2018) - [j80]Xiaoqin Liu, Jieting Wang, Yuhua Qian, Xiaoyue Wang:
一种多强度攻击下的对抗逃避攻击集成学习算法 (Ensemble Method Against Evasion Attack with Different Strength of Attack). 计算机科学 45(1): 34-38 (2018) - [j79]Qi Wang, Yuhua Qian
Local neighborhood rough set. Knowl. Based Syst. 153: 53-64 (2018) - [j78]Shujiao Liao, Qingxin Zhu, Yuhua Qian, Guoping Lin:
Multi-granularity feature selection on cost-sensitive data with measurement errors and variable costs. Knowl. Based Syst. 158: 25-42 (2018) - [j77]Xiaoying Guo, Yuhua Qian
Assessment model for perceived visual complexity of painting images. Knowl. Based Syst. 159: 110-119 (2018) - [j76]Furong Peng, Xuan Lu, Chao Ma, Yuhua Qian, Jianfeng Lu, Jingyu Yang:
Multi-level preference regression for cold-start recommendations. Int. J. Mach. Learn. Cybern. 9(7): 1117-1130 (2018) - [j75]Jianhua Dai
Maximal-Discernibility-Pair-Based Approach to Attribute Reduction in Fuzzy Rough Sets. IEEE Trans. Fuzzy Syst. 26(4): 2174-2187 (2018) - [j74]Feijiang Li, Yuhua Qian, Jieting Wang, Chuangyin Dang, Bing Liu:
Cluster's Quality Evaluation and Selective Clustering Ensemble. ACM Trans. Knowl. Discov. Data 12(5): 60:1-60:27 (2018) - [j73]Changzhong Wang
Feature Selection Based on Neighborhood Discrimination Index. IEEE Trans. Neural Networks Learn. Syst. 29(7): 2986-2999 (2018) - [j72]Fuyuan Cao
An Algorithm for Clustering Categorical Data With Set-Valued Features. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4593-4606 (2018) - [i1]Zhangjian Ji, Kai Feng, Yuhua Qian:
Part-based Visual Tracking via Structural Support Correlation Filter. CoRR abs/1805.09971 (2018) - 2017
- [j71]Yuhua Qian, Xinyan Liang, Guoping Lin, Qian Guo, Jiye Liang
Local multigranulation decision-theoretic rough sets. Int. J. Approx. Reason. 82: 119-137 (2017) - [j70]Yanhong She, Xiaoli He, Huixian Shi, Yuhua Qian:
A multiple-valued logic approach for multigranulation rough set model. Int. J. Approx. Reason. 82: 270-284 (2017) - [j69]Jinhai Li
Three-way cognitive concept learning via multi-granularity. Inf. Sci. 378: 244-263 (2017) - [j68]Wei-Zhi Wu, Yuhua Qian, Tong-Jun Li, Shen-Ming Gu:
On rule acquisition in incomplete multi-scale decision tables. Inf. Sci. 378: 282-302 (2017) - [j67]Feijiang Li, Yuhua Qian, Jieting Wang, Jiye Liang
Multigranulation information fusion: A Dempster-Shafer evidence theory-based clustering ensemble method. Inf. Sci. 378: 389-409 (2017) - [j66]Yuhua Qian, Honghong Cheng, Jieting Wang, Jiye Liang
Grouping granular structures in human granulation intelligence. Inf. Sci. 382-383: 150-169 (2017) - [j65]Yanli Sang, Yuhua Qian:
多粒度决策粗糙集中的粒度约简方法 (Granular Structure Reduction Approach to Multigranulation Decision-theoretic Rough Sets). 计算机科学 44(5): 199-205 (2017) - [j64]Junya Yan, Yuhua Qian, Huafeng Li, Shangcai Ma:
WSN中基于多径距离和神经网络的节点定位 (Node Localization Based on Multipath Distance and Neural Network in WSN). 计算机科学 44(8): 71-75 (2017) - [j63]Bingzhen Sun, Weimin Ma, Yuhua Qian:
Multigranulation fuzzy rough set over two universes and its application to decision making. Knowl. Based Syst. 123: 61-74 (2017) - [j62]Xiaoqiang Guan, Jiye Liang
A multi-view OVA model based on decision tree for multi-classification tasks. Knowl. Based Syst. 138: 208-219 (2017) - [j61]Changzhong Wang
A Fitting Model for Feature Selection With Fuzzy Rough Sets. IEEE Trans. Fuzzy Syst. 25(4): 741-753 (2017) - [j60]Hang Xu, Wenjian Wang, Yuhua Qian:
Fusing Complete Monotonic Decision Trees. IEEE Trans. Knowl. Data Eng. 29(10): 2223-2235 (2017) - [c22]Yu Wang, Qinghua Hu, Yucan Zhou, Hong Zhao, Yuhua Qian, Jiye Liang
Local Bayes Risk Minimization Based Stopping Strategy for Hierarchical Classification. ICDM 2017: 515-524 - 2016
- [j59]Jianxin Wang, Yuhua Qian:
符号数据的无监督学习: 一种空间变换方法 (Unsupervised Learning from Categorical Data: A Space Transformation Approach). 计算机科学 43(1): 89-93 (2016) - [j58]Yanli Sang, Jiye Liang
Decision-theoretic rough sets under dynamic granulation. Knowl. Based Syst. 91: 84-92 (2016) - [j57]Guoping Lin, Jiye Liang
A fuzzy multigranulation decision-theoretic approach to multi-source fuzzy information systems. Knowl. Based Syst. 91: 102-113 (2016) - [j56]Jinhai Li
A comparative study of multigranulation rough sets and concept lattices via rule acquisition. Knowl. Based Syst. 91: 152-164 (2016) - [j55]Yinfeng Meng
Comparison study of orthonormal representations of functional data in classification. Knowl. Based Syst. 97: 224-236 (2016) - [j54]Changzhong Wang
Feature subset selection based on fuzzy neighborhood rough sets. Knowl. Based Syst. 111: 173-179 (2016) - [j53]Zhiqiang Wang, Jiye Liang
An Approach to Cold-Start Link Prediction: Establishing Connections between Non-Topological and Topological Information. IEEE Trans. Knowl. Data Eng. 28(11): 2857-2870 (2016) - [j52]Yuhua Qian, Feijiang Li, Jiye Liang
Space Structure and Clustering of Categorical Data. IEEE Trans. Neural Networks Learn. Syst. 27(10): 2047-2059 (2016) - 2015
- [j51]Yuhua Qian, Qi Wang, Honghong Cheng, Jiye Liang
Fuzzy-rough feature selection accelerator. Fuzzy Sets Syst. 258: 61-78 (2015) - [j50]Baoli Wang, Jiye Liang
A Normalized Numerical Scaling Method for the Unbalanced Multi-Granular Linguistic Sets. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 23(2): 221-244 (2015) - [j49]Guoping Lin, Jiye Liang
Uncertainty Measures for Multigranulation Approximation Space. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 23(3): 443-458 (2015) - [j48]Jinhai Li
Concept learning via granular computing: A cognitive viewpoint. Inf. Sci. 298: 447-467 (2015) - [j47]Guoping Lin, Jiye Liang
An information fusion approach by combining multigranulation rough sets and evidence theory. Inf. Sci. 314: 184-199 (2015) - [j46]Honghong Cheng, Xiaoqin Zhang, Feijiang Li, Yuhua Qian:
一种对应约束的决策表属性约简算法 (Decision Table Attribute Reduction Algorithm Based on Correspondence Constraints). 计算机科学 42(6): 50-53 (2015) - [j45]Baoli Wang, Jiye Liang
Determining decision makers' weights in group ranking: a granular computing method. Int. J. Mach. Learn. Cybern. 6(3): 511-521 (2015) - [j44]Yuhua Qian, Yebin Li, Jiye Liang
Fuzzy Granular Structure Distance. IEEE Trans. Fuzzy Syst. 23(6): 2245-2259 (2015) - [j43]Yuhua Qian, Hang Xu, Jiye Liang
Fusing Monotonic Decision Trees. IEEE Trans. Knowl. Data Eng. 27(10): 2717-2728 (2015) - [c21]Hanmo Wang, Liang Du, Peng Zhou
Experimental Design with Multiple Kernels. ICDM 2015: 419-428 - [c20]Feijiang Li, Yuhua Qian, Jieting Wang, Jiye Liang
Multigranulation information fusion: A dempster-shafer evidence theory based clustering ensemble method. ICMLC 2015: 58-63 - [c19]Jinhai Li
Cognitive concept learning via granular computing for big data. ICMLC 2015: 289-294 - 2014
- [j42]Baoli Wang, Jiye Liang
Preorder Information Based Attributes' Weights Learning in Multi-attribute Decision Making. Fundam. Informaticae 132(3): 331-347 (2014) - [j41]Yuhua Qian, Hu Zhang, Yanli Sang, Jiye Liang
Multigranulation decision-theoretic rough sets. Int. J. Approx. Reason. 55(1): 225-237 (2014) - [j40]Yuhua Qian, Hu Zhang, Feijiang Li, Qinghua Hu, Jiye Liang
Set-based granular computing: A lattice model. Int. J. Approx. Reason. 55(3): 834-852 (2014) - [j39]Yuhua Qian, Shunyong Li, Jiye Liang
Pessimistic rough set based decisions: A multigranulation fusion strategy. Inf. Sci. 264: 196-210 (2014) - [j38]Yali Lv, Shizhong Liao, Hongbo Shi, Yuhua Qian, Suqin Ji:
QMIQPN: An enhanced QPN based on qualitative mutual information for reducing ambiguity. Knowl. Based Syst. 71: 114-125 (2014) - [j37]Guoping Lin, Jiye Liang
Topological approach to multigranulation rough sets. Int. J. Mach. Learn. Cybern. 5(2): 233-243 (2014) - [j36]Xin Liu, Yuhua Qian, Jiye Liang
A rule-extraction framework under multigranulation rough sets. Int. J. Mach. Learn. Cybern. 5(2): 319-326 (2014) - [j35]Jiye Liang
A Group Incremental Approach to Feature Selection Applying Rough Set Technique. IEEE Trans. Knowl. Data Eng. 26(2): 294-308 (2014) - 2013
- [j34]Xibei Yang, Yuhua Qian, Jingyu Yang:
On Characterizing Hierarchies of Granulation Structures via Distances. Fundam. Informaticae 123(3): 365-380 (2013) - [j33]Wei Wei, Jiye Liang
Decision-relative discernibility matrices in the sense of entropies. Int. J. Gen. Syst. 42(7): 721-738 (2013) - [j32]Wei Wei, Jiye Liang
Can fuzzy entropies be effective measures for evaluating the roughness of a rough set? Inf. Sci. 232: 143-166 (2013) - [j31]Guoping Lin, Jiye Liang
Multigranulation rough sets: From partition to covering. Inf. Sci. 241: 101-118 (2013) - [j30]Feng Wang, Jiye Liang
Attribute reduction: A dimension incremental strategy. Knowl. Based Syst. 39: 95-108 (2013) - [j29]Yuhua Qian, Jiye Liang
Consistency-preserving attribute reduction in fuzzy rough set framework. Int. J. Mach. Learn. Cybern. 4(4): 287-299 (2013) - 2012
- [j28]Yuhua Qian, Chuangyin Dang
Partial ordering of information granulations: a further investigation. Expert Syst. J. Knowl. Eng. 29(1): 3-24 (2012) - [j27]Jiye Liang
An efficient rough feature selection algorithm with a multi-granulation view. Int. J. Approx. Reason. 53(6): 912-926 (2012) - [j26]Guoping Lin, Yuhua Qian, Jinjin Li
NMGRS: Neighborhood-based multigranulation rough sets. Int. J. Approx. Reason. 53(7): 1080-1093 (2012) - [j25]Wei Wei, Jiye Liang
A comparative study of rough sets for hybrid data. Inf. Sci. 190: 1-16 (2012) - [j24]Xibei Yang, Yuhua Qian, Jing-Yu Yang:
Hierarchical Structures on Multigranulation Spaces. J. Comput. Sci. Technol. 27(6): 1169-1183 (2012) - [j23]Jiye Liang
Distance: A more comprehensible perspective for measures in rough set theory. Knowl. Based Syst. 27: 126-136 (2012) - [j22]Peng Song, Jiye Liang
A two-grade approach to ranking interval data. Knowl. Based Syst. 27: 234-244 (2012) - [j21]Yuhua Qian, Jiye Liang
Evaluation of the decision performance of the decision rule set from an ordered decision table. Knowl. Based Syst. 36: 39-50 (2012) - [c18]Wei Wei, Jiye Liang
Variable precision multi-granulation rough set. GrC 2012: 536-540 - [c17]Wei Wei, Jiye Liang
Fuzziness-Preserving Attribute Reduction from Hybrid Data. IScIDE 2012: 692-699 - [c16]Baoli Wang, Jiye Liang
Information Granularity and Granular Structure in Decision Making. RSKT 2012: 440-449 - 2011
- [j20]Fan Min
Test-cost-sensitive attribute reduction. Inf. Sci. 181(22): 4928-4942 (2011) - [j19]Yuhua Qian, Jiye Liang
An efficient accelerator for attribute reduction from incomplete data in rough set framework. Pattern Recognit. 44(8): 1658-1670 (2011) - [j18]Yuhua Qian, Jiye Liang
Information Granularity in Fuzzy Binary GrC Model. IEEE Trans. Fuzzy Syst. 19(2): 253-264 (2011) - [c15]Junhong Wang, Jiye Liang
Closed-Label Concept Lattice Based Rule Extraction Approach. ICIC (3) 2011: 690-698 - [c14]Yuhua Qian, Chao Li, Jiye Liang
An Efficient Fuzzy-Rough Attribute Reduction Approach. RSKT 2011: 63-70 - [c13]Yuhua Qian, Jiye Liang
How to organize data with measurement errors? SMC 2011: 3096-3101 - 2010
- [j17]Yuhua Qian, Jiye Liang
Positive approximation: An accelerator for attribute reduction in rough set theory. Artif. Intell. 174(9-10): 597-618 (2010) - [j16]Wei Wei, Jiye Liang
Comparative study of decision performance of decision tables induced by attribute reductions. Int. J. Gen. Syst. 39(8): 813-838 (2010) - [j15]Yuhua Qian, Jiye Liang
MGRS: A multi-granulation rough set. Inf. Sci. 180(6): 949-970 (2010) - [j14]Yuhua Qian, Jiye Liang
Approximation reduction in inconsistent incomplete decision tables. Knowl. Based Syst. 23(5): 427-433 (2010) - [j13]Yuhua Qian, Jiye Liang
Incomplete Multigranulation Rough Set. IEEE Trans. Syst. Man Cybern. Part A 40(2): 420-431 (2010) - [c12]Hongxing Chen, Yuhua Qian, Jiye Liang
On Partial Order Relations in Granular Computing. GrC 2010: 102-106 - [c11]Junhong Wang, Jiye Liang
A heuristic method to attribute reduction for concept lattice. ICMLC 2010: 483-487
2000 – 2009
- 2009
- [j12]Yuhua Qian, Jiye Liang
Knowledge structure, knowledge granulation and knowledge distance in a knowledge base. Int. J. Approx. Reason. 50(1): 174-188 (2009) - [j11]Yuhua Qian, Jiye Liang
A New Method for Measuring the Uncertainty in Incomplete Information Systems. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 17(6): 855-880 (2009) - [j10]Jiye Liang
A new measure of uncertainty based on knowledge granulation for rough sets. Inf. Sci. 179(4): 458-470 (2009) - [j9]Yuhua Qian, Chuangyin Dang
Set-valued ordered information systems. Inf. Sci. 179(16): 2809-2832 (2009) - [c10]Wei Wei, Jiye Liang
An attribute reduction approach and its accelerated version for hybrid data. IEEE ICCI 2009: 167-173 - [c9]Hongxing Chen, Yuhua Qian, Jiye Liang
A Time-Reduction Strategy to Feature Selection in Rough Set Theory. RSKT 2009: 111-119 - 2008
- [j8]Jiye Liang
Information granules and entropy theory in information systems. Sci. China Ser. F Inf. Sci. 51(10): 1427-1444 (2008) - [j7]Yuhua Qian, Jiye Liang
Converse approximation and rule extraction from decision tables in rough set theory. Comput. Math. Appl. 55(8): 1754-1765 (2008) - [j6]Yuhua Qian, Jiye Liang
Interval ordered information systems. Comput. Math. Appl. 56(8): 1994-2009 (2008) - [j5]Yuhua Qian, Chuangyin Dang
On the evaluation of the decision performance of an incomplete decision table. Data Knowl. Eng. 65(3): 373-400 (2008) - [j4]Yuhua Qian, Jiye Liang
Consistency measure, inclusion degree and fuzzy measure in decision tables. Fuzzy Sets Syst. 159(18): 2353-2377 (2008) - [j3]Yuhua Qian, Jiye Liang
Combination Entropy and Combination Granulation in Rough Set Theory. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 16(2): 179-193 (2008) - [j2]Junhong Wang, Jiye Liang
Uncertainty Measure of Rough Sets Based on a Knowledge Granulation for Incomplete Information Systems. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 16(2): 233-244 (2008) - [j1]Yuhua Qian, Jiye Liang
Measures for evaluating the decision performance of a decision table in rough set theory. Inf. Sci. 178(1): 181-202 (2008) - [c8]Yuhua Qian, Jiye Liang
Granulation Operators on a Knowledge Base. GrC 2008: 538-543 - [c7]Wei Wei, Jiye Liang
Change Mechanism of a Decision Table's Decision Performance caused by Attribute Reductions. GrC 2008: 638-643 - [c6]Yuhua Qian, Jiye Liang
Consistency and Fuzziness in Ordered Decision Tables. RSKT 2008: 63-71 - 2007
- [c5]Yuhua Qian, Jiye Liang, Chuangyin Dang:
MGRS in Incomplete Information Systems. GrC 2007: 163-168 - [c4]Yuhua Qian, Jiye Liang
Evaluation Method for Decision Rule Sets. RSFDGrC 2007: 272-279 - 2006
- [c3]Jiye Liang, Yuhua Qian:
Axiomatic Approach of Knowledge Granulation in Information System. Australian Conference on Artificial Intelligence 2006: 1074-1078 - [c2]Yuhua Qian, Jiye Liang
Combination Entropy and Combination Granulation in Incomplete Information System. RSKT 2006: 184-190 - 2005
- [c1]Jiye Liang
Rough Set Approximation Based on Dynamic Granulation. RSFDGrC (1) 2005: 701-708
Coauthor Index
[j182] [j160] [j139] [j137] [j135] [i7] [j125] [j123] [j120] [j115] [j102] [j93] [j86] [i3] [j84] [j83] [j79] [j72] [j71] [j67] [j66] [j62] [c22] [j58] [j57] [j55] [j53] [j52] [j51] [j50] [j49] [j47] [j45] [j44] [j43] [c20] [j42] [j41] [j40] [j39] [j37] [j36] [j35] [j33] [j32] [j31] [j30] [j29] [j28] [j27] [j25] [j23] [j22] [j21] [c18] [c17] [c16] [j19] [j18] [c15] [c14] [c13] [j17] [j16] [j15] [j14] [j13] [c12] [c11] [j12] [j11] [j10] [j9] [c10] [c9] [j8] [j7] [j6] [j5] [j4] [j3] [j2] [j1] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
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