【 2025】 Collaborative graph neural networks for augmented graphs: A local-to-global perspective, Pattern Recognition, 2025, 158: 111020.

Qihang Guo, Xibei Yang, Ming Li, Yuhua Qian

【 2024】 Semi-supervised feature selection based on fuzzy related family, Information Sciences, 2024, 652: 119660.

Zhijun Guo, Yang Shen, Tian Yang, Yuan-Jiang Li, Yanfang Deng, Yuhua Qian

【 2024】 Adaptive fuzzy neighborhood decision tree, Applied Soft Computing, 2024, 167, 112435

Cui Xinyu, Wang Changzhong, An Shuang, Qian, Yuhua

【 2024】 Purity Skeleton Dynamic Hypergraph Neural Network, Neurocomputing, 2024, 610: 128539.

Wang Yuge, Yang Xibei, Sun Qiguo, Qian Yuhua, Guo Qihang

【 2024】 Sparse regularized correlation filter for UAV object tracking with adaptive contextual learning and keyfilter selection, Information Sciences, 2024, 658: 120013.

Ji Zhangjian, Feng Kai, Qian Yuhua, Liang Jiye

【 2024】 Feature Selection and Classification Based on Directed Fuzzy Rough Sets, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 10.1109/TSMC.2024.3492337

Wang Changyue, Wang Changzhong, An Shuang, Ding Weiping, Qian, Yuhua

【 2024】 Concept-cognitive learning survey: Mining and fusing knowledge from data, Information Fusion

Doudou Guo,Weihua Xu,Weiping Ding,Yiyu Yao,Xizhao Wang,Witold Pedrycz,Yuhua Qian

【 2024】 Fusing Monotonic Decision Tree Based on Related Family, IEEE Transactions on Knowledge and Data Engineering

Tian Yang, Fansong Yan, Fengcai Qiao, Jieting Wang, Yuhua Qian*

【 2024】 Fuzzy-Granular Concept-Cognitive Learning via Three-Way Decision: Performance Evaluation on Dynamic Knowledge Discovery, IEEE Transactions on Fuzzy Systems,2024,32(3):1409 - 1423

Doudou Guo; Weihua Xu; Yuhua Qian; Weiping Ding

【 2024】 IFCRL: Interval-intent Fuzzy Concept Re-cognition Learning Model, IEEE Transactions on Fuzzy Systems,Access

Yi Ding; Weihua Xu; Weiping Ding; Yuhua Qian

【 2023】 缓解随机一致性的基尼指数与决策树方法, 中国科学:信息科学, 2024, doi: 10.1360/ SSI-2022-0337

王婕婷,李飞江,李珏,钱宇华,梁吉业

【 2023】 多景深图像聚焦信息的三维形貌重建：数据集与模型, 计算机学报,2023,46(8),1734-1751

张江峰,闫涛,王克琪,钱宇华,吴鹏

【 2023】 基于分组并行的轻量化实时微观三维形貌重建方法, 软件学报,2023,doi: 10.13328/j.cnki.jos.000000

闫涛, 高浩轩, 张江峰, 钱宇华, 张临垣

【 2023】 Learning With Incremental Instances and Features, IEEE Transactions on Neural Networks and Learning Systems,2023,DOI: 10.1109/TNNLS.2023.3236479

Shilin Gu , Yuhua Qian, Chenping Hou

【 2023】 ESSR: Evolving Sparse Sharing Representation for Multi-task Learning, IEEE Transactions on Evolutionary Computation,2023,DOI 10.1109/TEVC.2023.3272663

Yayu Zhang,Yuhua Qian,Guoshuai Ma, Xinyan Liang, Guoqing Liu, Qingfu Zhang,Ke Tang

【 2023】 Incremental Learning for Simultaneous Augmentation of Feature and Class, IEEE Transactions on Pattern Analysis and Machine Intelligence,DOI 10.1109/TPAMI.2023.3307670

Chenping Hou,Shilin Gu, Chao Xu, Yuhua Qian

【 2023】 Generalization Performance of Pure Accuracy and Its Application in Selective Ensemble Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023,45(2),1798-1816

Jieting Wang, Yuhua Qian, Feijiang Li, Jiye Liang, Qingfu Zhang

【 2022】 Generalization Performance of Pure Accuracy and Its Application in Selective Ensemble Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022, doi:10.1109/TPAMI.2022.3171436

Jieting Wang, Yuhua Qian, Feijiang Li, Jiye Liang, Qingfu Zhang

【 2022】 Neighborhood Information-based Method for Multivariate Association Mining, IEEE Transactions on Knowledge and Data Engineering,2022,35(6):6126 - 6135

Honghong Cheng, Yuhua Qian, Yingjie Guo, Keyin Zheng, Qingfu Zhang

【 2023】 Local Feature Selection for Large-scale Data Sets with Limited Labels, IEEE Transactions on Knowledge and Data Engineering,2023,35(7):7152 - 7163

Tian Yang, Yanfang Deng, Bin Yu, Yuhua Qian, Jianhua Dai

【 2022】 Intelligent microscopic 3D shape reconstruction method based on 3D time-frequency transformation, 中国科学:信息科学, 2022, In Press

Tao Yan, Yuhua Qian, Feijiang Li, Hongren Yan, Jieting Wang, Jiye Liang, Keyin Zheng, Peng Wu, Lu Chen, Zhiguo Hu, Zhiwei Qiao, Jiangfeng Zhang, Xiaopeng Zhai

【 2022】 AF: an association-based fusion method for multi-modal classification, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022, 44(12):9236-9254

Xinyan Liang, Yuhua Qian, Qian Guo, Honghong Cheng, Jiye Liang

【 2022】 GLRM: Logical pattern mining in the case of inconsistent data distribution based on multigranulation strategy, International Journal of Approximate Reasoning, 2022,4(143):78-101

Qian Guo, Yuhua Qian, Xinyan Liang

【 2022】 A tensor generalized weighted linear predictor for FDA-MIMO radar parameter estimation, IEEE Transactions on Vehicular Technology,2022,In Press

Chao Wen, Yu Xie, Zhiwei Qiao, Liyun Xu, and Yuhua Qian

【 2022】 Incremental feature spaces learning with label scarcity, ACM Transactions on Knowledge Discovery from Data,2022,16(6),106

Shilin Gu,Yuhua Qian,Chenping Hou

【 2022】 Locality-constrained discriminative matrix regression for robust face identification, IEEE Transactions on Neural Networks and Learning Systems,2022,33(3):1254-1268

Chao Zhang,Huaxiong Li,Yuhua Qian,Chunlin Chen,Xianzhong Zhou

【 2022】 Active and semi-supervised graph neural networks for graph classification, IEEE Transactions on Big Data, 2022,doi: 10.1109/TBDATA.2021.3140205

Yu xie,Shengze Lv, Yuhua Qian,Chao Wen,JiyeLiang

【 2022】 Local-global coupling relationship based low-light image enhancement, 中国科学: 信息科学, 2022, 52: 443–460, doi: 10. 1360/SSI-2021-0174

Keqi Wang, Yuhua Qian, Jiye Liang, Chang Liu, Qin Huang, Lu Chen, Jieru jia

【 2021】 Feature selection with fuzzy-rough minimum classification error criterion, IEEE Transactions on Fuzzy Systems, 2021, doi: 10.1109/TFUZZ.2021.3097811

Changzhong Wang, Yuhua Qian, Weiping Ding, Xiaodong Feng

【 2021】 Noise-tolerant fuzzy covering based multigranulation rough sets and feature subset selection, IEEE Transactions on Fuzzy Systems, 2021, doi: 10.1109/TFUZZ.2021.3093202

Zhehuang Huang, Jinjin Li, Yuhua Qian

【 2021】 Feature selection with missing labels using multilabel fuzzy neighborhood rough sets and maximum relevance minimum redundancy, IEEE Transactions on Fuzzy Systems, 2021, doi: 10.1109/TFUZZ.2021.3053844

Lin Sun, Tengyu Yin, Weiping Ding, Yuhua Qian, Jiucheng Xu

【 2021】 Enhanced group sparse regularized nonconvex regression for face recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, doi: 10.1109/TPAMI.2020. 3033994

Chao Zhang, Huaxiong Li, Chunlin Chen, Yuhua Qian, Xianzhong Zhou

【 2021】 Evolutionary deep fusion method and its application in chemical structure recognition, IEEE Transactions on Evolutionary Computation, 2021, 25(5):883-893

Xinyan Liang, Qian Guo, Yuhua Qian, Weiping Ding, Qingfu Zhang

【 2021】 A unified sample selection framework for output noise filtering: an error-bound perspective, Journal of Machine Learning Research, 2021, 22, 1-66

Gaoxia Jiang, Wenjian Wang, Yuhua Qian, Jiye Liang

【 2021】 Logic could be learned from images, International Journal of Machine Learning and Cybernetics, 2021, 12, 3397-3414

Qian Guo, Yuhua Qian, Xinyan Liang, Yanhong She, Deyu Li, Jiye Liang

【 2021】 Path-based estimation for link prediction, International Journal of Machine Learning and Cybernetics, 2021, 12, 2443-2458

Guoshuai Ma, Hongren Yan, Yuhua Qian, Lingfeng Wang, Chuangyin Dang, Zhongying Zhao

【 2021】 Learning the number of filters in convolutional neural networks, International Journal of Bio-Inspired Computation, 2021, 17(2):75-84

Jue Li, Feng Cao, Honghong Cheng, Yuhua Qian

【 2021】 Image deep clustering based on local-topology embedding, Pattern Recognition Letters, 2021, 151, 88-94

Jing Pan, Yuhua Qian, Feijiang Li, Qian Guo

【 2021】 BIC-based node order learning for improving Bayesian network structure learning, Frontiers of Computer Science, 2021, 15(6): 156337

Yali Lv, Junzhong Miao, Jiye Liang, Ling Chen, Yuhua Qian

【 2021】 A regret-based three-way decision model under interval Type-2 fuzzy environment, IEEE Transactions on Fuzzy Systems, 2020, doi: 10.1109/TFUZZ.2020.3033448

Tianxing Wang, Huaxiong Li, Yuhua Qian, Bing Huang, Xianzhong Zhou

【 2021】 Accelerator for crosswise computing reduct, Applied Soft Computing Journal, 2021, 98: 106740

Zehua Jiang, Keyu Liu, Jingjing Song, Xibei Yang, Jinhai Li, Yuhua Qian

【 2021】 Pairwise relations oriented discriminative regression, IEEE Transactions on Circuits and Systems for Video Technology, 2021, 31(7):2646-2660

Chao Zhang, Huaxiong Li, Yuhua Qian, Chunlin Chen, Yang Gao

【 2021】 Feature selection using fuzzy neighborhood entropy-based uncertainty measures for fuzzy neighborhood multigranulation rough sets, IEEE Transactions on Fuzzy Systems, 2021, 29(1):19-33

Lin Sun, Lanying Wang, Weiping Ding, Yuhua Qian, Jiucheng Xu

【 2020】 Learning with mitigating random consistency from the accuracy measure, Machine Learning, 2020, 109, 2247–2281

Jieting Wang, Yuhua Qian, Feijiang Li

【 2020】 Latent complete row sapce recovery for multi-view subspace clustering, IEEE Transactions on Image Processing, 2020, 29, 8083-8096

Hong Tao, Chenping Hou, Yuhua Qian, Jubo Zhu, Dongyun Yi

【 2020】 Association mining method based on neighborhood, 中国科学：信息科学, 2020, 50(6), 824-844

Honghong Cheng, Yuhua Qian, Zhiguo Hu, Jiye Liang

【 2020】 Unsupervised feature selection with adaptive multiple graph learning, Pattern Recognition, 2020, 105, 107375

Peng Zhou, Liang Du, Xuejun Li, Yidong Shen, Yuhua Qian

【 2020】 Granular matrix: a new approach for granular structure reduction and redundancy evaluation, IEEE Transactions on Fuzzy Systems, 2020, 28(12), 3133-3144

Tian Yang, Xiaru Zhong, Guangming Lang, Yuhua Qian, Jianhua Dai

【 2020】 Guide to match: multi-layer feature matching with a hybrid gaussian mixture model, IEEE Transactions on Multimedia, 2020, 22(9), 2246-2261

Kun Sun, Wenbing Tao, Yuhua Qian

【 2020】 Clustering method based on sample's stability, 中国科学: 信息科学, 2020, 50(8), 1239-1254

Feijiang Li, Yuhua Qian, jieting Wang, Jiye Liang, Wenjian Wang

【 2020】 Fusing fuzzy monotonic decision trees, IEEE Transactions on Fuzzy Systems, 2020, 28(5), 887-900

Jieting Wang, Yuhua Qian, Feijiang Li, Jiye Liang, Weiping Ding

【 2020】 Fuzzy rough attribute reduction for categorical data, IEEE Transactions on Fuzzy Systems, 2020, 28(5), 818-830

Changzhong Wang, Yan Wang, Mingwen Shao, Yuhua Qian, Degang Chen

【 2020】 3D shape reconstruction from multifocus image fusion using a multidirectional modified Laplacian operator, Pattern Recognition, 2020, 98, 107065

Tao Yan, Zhiguo Hu, Yuhua Qian, Zhiwei Qiao, Linyuan Zhang

【 2019】 Adaptive local low-rank matrix approximation for recommendation, ACM Transactions on Information Systems, 2019, 37(4), 45

Huafeng Liu, Liping Jing, Yuhua Qian, Jian Yu

【 2019】 Clustering ensemble based on sample's stability, Artificial Intelligence, 2019, 273, 37-55

Feijiang Li, Yuhua Qian, Jieting Wang, Chuangyin Dang, Liping Jing

【 2019】 Intuitionistic fuzzy rough set-based granular structures and attribute subset selection, IEEE Transactions on Fuzzy Systems, 2019, 27(3), 527-539

Anhui Tan, Weizhi Wu, Yuhua Qian, Jiye Liang, Jinkun Chen, Jinjin Li

【 2019】 Object-oriented interval-set concept lattices, International Journal of Approximate Reasoning, 2019, 110, 64-81

Jianmin Ma, Lingling Hu, Yuhua Qian

【 2019】 Feature selection using Lebesgue and entropy measures for incomplete neighborhood decision systems, Knowledge-Based Systems, 2019, 186(15), 104942

Lin Sun, Lanying Wang, Yuhua Qian, Jiucheng Xu, Shiguang Zhang

【 2019】 Feature selection using neighborhood entropy-based uncertainty measures for gene expression data classification, Information Sciences, 2019, 502, 18-41

Lin Sun, Xiaoyu Zhang, Yuhua Qian, Jiucheng Xu, Shiguang Zhang

【 2019】 An efficient selector for multi-granularity attribute reduction, Information Sciences, 2019, 505, 457-472

Keyu Liu, Xibei Yang, Hamido Fujita, Dun Liu, Xin Yang, Yuhua Qian

【 2019】 Accelerator for multi-granularity attribute reduction, Knowledge-Based Systems, 2019, 177, 145-158

Zehua Jiang, Xibei Yang, Hualong Yu, Dun Liu, Pingxin Wang, Yuhua Qian

【 2019】 Feature–granularity selection with variable costs for hybrid data, Soft Computing, 2019, doi.org/10.1007/s00500-019-03854-2

Shujiao Liao, Qingxin Zhu, Yuhua Qian

【 2019】 Part-based visual tracking via structural support correlation filter, Journal of Visual Communication and Image Representation, 2019, 102602

Zhangjian Ji, Kai Feng, Yuhua Qian

【 2019】 Diversity-induced fuzzy clustering, International Journal of Approximate Reasoning, 2019, 106，89-106

Honghong Cheng, Yuhua Qian

【 2019】 Environmental sound classification with dilated convolutions, Applied Acoustics, 2019, 148, 123-132

Yan Chen, Qian Guo, Xinyan Liang, Jiang Wang, Yuhua Qian

【 2019】 Pseudo-label neighborhood rough set: measures and attribute reductions, International Journal of Approximate Reasoning, 2019, 105, 112-129

Xibei Yang, Shaochen Liang, Hualong Yu, Shang Gao, Yuhua Qian

【 2019】 Joint neighborhood entropy-based gene selection method with fisher score for tumor classification, Applied Intelligence volume,2019,49,1245–1259

Lin Sun, Xiaoyu Zhang, Yuhua Qian, et al.

【 2018】 Cluster's quality evaluation and selective clustering ensemble, ACM Transactions on Knowledge Discovery from Data, 2018, 12(5), 60

Feijiang Li, Yuhua Qian, Jieting Wang, Chuangyin Dang, Bing Liu

【 2018】 An algorithm for clustering categorical data with set-valued features, Transactions on Neural Networks and Learning Systems, 2018, 29(10), 4593-4606

Fuyuan Cao, Joshua Zhexue Huang, Jiye Liang, Xingwang Zhao, Yinfeng Meng, Kai Feng, Yuhua Qian

【 2018】 Maximal discernibility pairs based approach to attribute reduction in fuzzy rough sets, IEEE Transactions on Fuzzy Systems, 2018, 26(4), 2174-2187

Jianhua Dai, Hu Hu, Weizhi Wu, Yuhua Qian, Debiao Huang

【 2018】 Identifying advisor-advisee relationships from co-author networks via a novel deep model, Information Sciences, 2018, 466, 258-269

Zhongying Zhao, Wenqiang Liu, Yuhua Qian, Liqiang Nie, Yilong Yin, Yong Zhang

【 2018】 Assessment model for perceived visual complexity of painting images, Knowledge-Based Systems, 2018, 159, 110-119

Xiaoying Guo, Yuhua Qian, Liang Li, Akira Asano

【 2018】 A cautious ranking methodology with its application for stock screening, Applied Soft Computing, 2018, 71, 835-848

Peng Song, Jiye Liang, Yuhua Qian, Wei Wei, Feng Wang

【 2018】 Local neighborhood rough set, Knowledge-Based Systems, 2018, 153, 53-64

Qi Wang, Yuhua Qian, Xinyan Liang, Qian Guo, Jiye Liang

【 2018】 A quantitative approach to reasoning about incomplete knowledge, Information Sciences, 2018, 451-452, 100-111

Yanhong She, Xiaoli He, Yuhua Qian, Weihua Xu, Jinhai Li

【 2018】 Multi-granularity feature selection on cost-sensitive data with measurement errors and variable costs, Knowledge-Based Systems, 2018, 158, 25-42

Shujiao Liao, Qingxin Zhu, Yuhua Qian, Guoping Lin

【 2018】 Feature selection based on neighborhood discrimination index, IEEE Transactions on Neural Networks and Learning Systems, 2018, 29(7), 2986 - 2999

Changzhong Wang, Xizhao Wang, Degang Chen, Qinghua Hu, Yuhua Qian

【 2018】 Local rough set: a solution to rough data analysis in big data, International Journal of Approximate Reasoning, 2018, 97，38-63

Yuhua Qian, Xinyan Liang, Qi Wang, et al

【 2018】 Three novel accurate pixel-dreven projection methods for 2D CT and 3D EPR imaging, Journal of X-Ray Science and Technology, 2018, 26(1), 83-102

Zhiwei Qiao, Gage Relder, Zhiguo Gui, Yuhua Qian, Boris Epel, Howard Halpern

【 2018】 Multi-level preference regression for cold-start recommendations, International Journal of Machine Learning and Cybernetics, 2018, 9:1117-1130

Furong Peng, Xuan Lu, Chao Ma, Yuhua Qian, et al.

【 2017】 A seed expansion graph clustering method for protein complexes detection in protein interaction networks, Molecules, 2017, 22, 2179, 1-19

Jie Wang, Wenping Zheng, Yuhua Qian, Jiye Liang

【 2017】 Fusing complete monotonic decision trees, IEEE Transactions on Knowledge and Data Engineering, 2017, 29(10), 2223 - 2235

Hang Xu, Wenjian Wang, Yuhua Qian

【 2017】 Quantifying edge significance on maintaining global connectivity, Scientific Reports, 2017, DOI: 10.1038/srep45380

Yuhua Qian, Yebin Li, Min Zhang, Guoshuai Ma, Furong Lu

【 2017】 A multi-view OVA model based on decision tree for multi-classification tasks, Knowledge-Based Systems, 2017, 138, 208-219

Xiaoqiang Guan, Jiye Liang, Yuhua Qian, Jifang Pang

【 2017】 Multigranulation fuzzy rough set over two universes and its application to decision making, Knowledge-Based Systems, 2017, 123, 61-74

Bingzhen Sun, Weimin Ma, Yuhua Qian

【 2017】 A multiple-valued logic approach for multigranulation rough set model, International Journal of Approximate Reasoning, 2017, 82, 270-284

Yanhong She, Xiaoli He, Huixian Shi, Yuhua Qian,

【 2017】 Local multigranulation decision-theoretic rough sets, International Journal of Approximate Reasoning, 2017, 82, 119-137

Yuhua Qian, Xinyan Liang, Guoping Lin, Qian Guo, Jiye Liang

【 2017】 Grouping granular structures in human granulation intelligence, Information Sciences, 2017, 382-382, 150-169

Yuhua Qian, Honghong Cheng, Jieting Wang, Jiye Liang, et al.

【 2017】 Multigranulation information fusion: a Dempster-Shafer evidence theory-based clustering ensemble method, Information Sciences, 2017, 378, 309-409

Feijiang Li, Yuhua Qian, Jieting Wang, Jiye Liang

【 2017】 Three-way concept learning via multi-granularity, Information Sciences, 2017, 378, 244-263

Jinhai Li, Chenchen Huang, Jianjun Qi, Yuhua Qian, Wenqi Liu

【 2017】 On rule acquisition in incomplete multi-scale decision tables, Information Sciences, 2017, 378, 282-302

Weizhi Wu, Yuhua Qian, Tongjun Li, Shenming Gu

【 2016】 Space structure and clustering of categorical data, IEEE Transactions on Neural Networks and Learning Systems 2016, 27(10): 2047-2059

Yuhua Qian, Feijiang Li, Jiye Liang, Bing Liu, Chuangyin Dang

【 2016】 An approach to cold-start link prediction: establishing connections between non-topological and topological information, IEEE Transactions on Knowledge and Data Engineering, 2016, 28(11), 2857-2870

Zhiqiang Wang, Jiye Liang, Ru Li, Yuhua Qian

【 2016】 Feature subset selection based on fuzzy neighborhood rough sets, Knowledge-Based Systems, 2016, 111(1): 173-179

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

【 2016】 A fitting model for feature selection with fuzzy roug, IEEE Transactions on Fuzzy Systems, 2016 (In Press)

Changzhong Wang, Yali Qi, Mingwen Shao, Qinghua Hu, Degang Chen, Yuhua Qian, Yaojin Lin

【 2016】 Comparison study of orthonormal representations of functional data in classification, Knowledge-Based Systems, 2016, 97, 224-236

Yinfeng Meng, Jiye Liang, Yuhua Qian

【 2016】 A fuzzy multigranulation decision-theoretic approach to multi-source fuzzy information systems, Knowledge-Based Systems, 2016, 91: 102-113

Guoping Lin, Jiye Liang, Yuhua Qian, Jinjin Li

【 2016】 A comparative study of multigranulation rough sets and concept lattices via rule acquisition, Knowledge-Based Systems, 2016, 91, 152-164

Jinhai Li, Yue Ren, Changlin Mei, Yuhua Qian, Xibei Yang

【 2016】 Decision-theoretic rough sets under dynamic granulation, Knowledge-Based Systems, 2016, 91: 84-92

Yanli Sang, Jiye Liang, Yuhua Qian

【 2015】 Fuzzy granular structure distance, IEEE Transactions on Fuzzy Systems 2015, 23(6), 2245-2259

Yuhua Qian, Yebin Li, Jiye Liang, Guoping Lin, Chuangyin Dang

【 2015】 Theory and method of granular computing for big data discovery, Science in China-Series E: Information Sciences (中国科学）, 2015, 45(11):1355-1369

Jiye Liang, Yuhua Qian, Deyu Li, Qinghua Hu

【 2015】 3D pulse EPR imaging from sparse-view projections via constrained, total variation minimization, Journal of Magnetic Resonance, 2015, 258， 49-57

Zhiwei Qiao, Gage Redler, Boris Epel, Yuhua Qian, Howard Halpern

【 2015】 Implementation of GPU-Accelerated Back Projection for EPR imaging, Journal of X Ray Science and Technology, 2015, In Press

Zhiwei Qiao, Gage Redler, Boris Epel, Yuhua Qian, Howard Halpern

【 2015】 An information fusion approach by combining multigranulation rough sets and evidence theory, Information Sciences, 2015, 314, 184-199

Guoping Lin, Jiye Liang, Yuhua Qian

【 2015】 Fuzzy-rough feature selection accelerator, Fuzzy Sets and Systems, 2015, 258, 61-78

Yuhua Qian, Qi Wang, Honghong Cheng, Jiye Liang, Chuangyin Dang

【 2015】 Concept learning via granular computing-a cognitive viewpoint, Information Sciences, 2015, 298, 447-467

Jinhai Li, Changlin Mei, Weihua Xu, Yuhua Qian

【 2015】 Fusing monotonic decision trees, IEEE Transactions on Knowledge and Data Engineerin

Yuhua Qian, Hang Xu, Jiye Liang, Bing Liu, Jieting Wang

【 2015】 A normalized numerical scaling method for the unbalanced multi-granular linguistic sets, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2015, 23(2), 221-243

Baoli Wang, Jiye Liang, Yuhua Qian, Chuangyin Dang

【 2015】 Uncertainty measures for multigranulation approximation space, International Journal of Uncertianty, Fuzziness and Knowledge-Based Systems, 2015, 23(3), 443-457

Guoping Lin, Jiye Liang, Yuhua Qian

【 2014】 Set-based granular computing: a lattice model, International Journal of Approximate Reasoning, 2014, 55, 834-852

Yuhua Qian, Hu Zhang, Feijiang Li, Qinghua Hu, Jiye Liang

【 2014】 QMIQPN: An enhanced QPN based on qualitative mutual information for reducing ambiguity, Knowledge-Based Systems, 2014, 71, 114-125

Yali Lv, Shizhong Liao, Hongbo Shi, Yuhua Qian, Suqin Ji

【 2014】 Preorder information based atribute weights learning in mulitattribute decision making, Fundamenta Informaticae, 2014, 132, 331-347

Baoli Wang, Jiye Liang, Yuhua Qian

【 2014】 Incremental approach to feature selection based on rough set theory, IEEE Transactions on Knowledge and Data Engineering, 2014, 26(2) 294-308

Jiye Liang, Feng Wang, Chuangyin Dang, Yuhua Qian

【 2014】 Determining decision maker's weights in group ranking: a granular computing method, International Journal of Machine Learning and Cybernetics, 2014, (In Press)

Baoli Wang, Jiye Liang, Yuhua Qian

【 2014】 Pessimistic rough set based decisions: a multigranulation fusion strategy, Information Sciences, 2014, 264, 196-210

Yuhua Qian, Shunyong Li, Jiye Liang, Zhongzhi Shi, Feng Wang

【 2014】 A rule-extraction framework under multigranulation rough sets, International Journal of Machine Learning and Cybernetics, 2014, 5: 319-326

Xin Liu, Yuhua Qian, Jiye Liang

【 2014】 Topological approach to multigranulation rough sets, International Journal of Machine Learning and Cybernetics, 2014, 5: 233-243

Guoping Lin, Jiye Liang, Yuhua Qian

【 2014】 Multigranulation decision-theoretic rough sets, International Journal of Approximate Reasoning, 2014, 55, 225-237

Yuhua Qian, Hu Zhang, Yanli Sang, Jiye Liang

【 2013】 Multigranulation rough sets: from partition to covering, Information Sciences, 241 (2013) 101-118

Guoping Lin, Jiye Liang, Yuhua Qian

【 2013】 On characterizing hierarchies of granulation structures, Fundamenta Informaticae, 123 (2013) 365-380

Xibei Yang, Yuhua Qian, Jingyu Yang

【 2013】 Decision-relative discernibility matrixes in the sense of entropies, International Journal of General Systems, 2013, 42(7): 721-738

Wei Wei, Jiye Liang, Junhong Wang, Yuhua Qian

【 2013】 Attribute reduction: A dimension incremental strategy, Knowledge-Based Systems, 2013,39:95-108

Feng Wang, Jiye Liang, Yuhua Qian

【 2013】 Can fuzzy entropies be effective measure for evaluating the roughness of a rough set?, Information Sciences, 2013, 232: 143-166

Wei Wei, Jiye Liang, Yuhua Qian, Chuangyin Dang

【 2012】 Hierarchical structures on multigranulation spaces, Journal of Computer Science and Technology, 2012, 27(6): 1169-1183

Xibei Yang, Yuhua Qian, Jingyu Yang

【 2012】 NMGRS: Neighborhood-based multigranulation rough sets, International Journal of Approximate Reasoning, 2012, 53: 1080-1093

Guoping Lin, Yuhua Qian, Jinjin Li

【 2012】 Evaluation of the decision performance of the decision rule set from an ordered decision table, Knowledge-Based Systems, 2012, 36: 39–50

Yuhua Qian, Jiye Liang, Peng Song, Chuangyin Dang, Wei Wei

【 2012】 An efficient rough feature selection algorithm with a multi-granulation view, International Journal of Approximate Reasoning, 2012, 53, 912-926

Jiye Liang, Feng Wang, Chuangyin Dang, Yuhua Qian

【 2012】 Consistency-preserving attribute reduction in fuzzy rough set framework, International Journal of Maching Learning and Cybernetics, 2012, 45-53

Yuhua Qian, Jiye Liang, Weiwei

【 2012】 Partial orderings of information granulations-a further investigation, Expert Systems, 2012, 29(1), 3-24

Yuhua Qian, Jiye Liang, Weizhi Wu, Chuangyin Dang

【 2012】 Distance-a more comprehensive perspective for measures in rough set theory, Knowledge-Based Systems, 2012, 27, 126-136

Jiye Liang, Ru Li, Yuhua Qian

【 2012】 A comparative study of rough sets for hybrid data, Information Sciences, 2012, 190(1), 1-16

Wei Wei, Jiye Liang, Yuhua Qian

【 2012】 A two-grade approach to ranking interval data, Knowledge-Based Systems, 2012, 27, 234-244

Peng Song, Jiye Liang, Yuhua Qian

【 2011】 Information granularity in fuzzy binary GrC model, IEEE Transactions on Fuzzy Systems, 2011, 19(2), 253-264

Yuhua Qian, Jiye Liang, Weizhi Wu, Chuangyin Dang

【 2011】 An efficient accelerator for attribute reduction from incomplete data in rough set framework, Pattern Recognition, 2011, 44, 1658-1670

Yuhua Qian, Jiye Liang, Witold Pedrycz, Chuangyin Dang

【 2011】 面向非完备决策表的正向近似特征选择加速算法, 计算机学报，2011, 34(3), 435-442

Yuhua Qian, Jiye Liang, Feng Wang

【 2011】 Test-cost-sensitive attribute reduction, Information Sciences, 2011, 181, 4928-4942

Fan Min, Huaping He, Yuhua Qian, William Zhu

【 2010】 On dominance relations in disjunctive set-valued ordered information systems, International Journal of Information Technology & Decision Making, 2010, 9(1), 9-33

Yuhua Qian, Jiye Liang, Peng Song, Chuangyin Dang

【 2010】 MGRS:a multigranulation rough set, Information Sciences, 2010, 180, 949-970

Yuhua Qian, Jiye Liang, Yiyu Yao, Chuangyin Dang

【 2010】 Positive approximation: an accelerator for attribute reduction in rough set theory, Artificial Intelligence, 2010, 174, 597-618

Yuhua Qian, Jiye Liang, Witold Pedrycz, Chuangyin Dang

【 2010】 Comparative study of decision performance of decision tables induced by attribute reductions, International Journal of General Systems, 2010, 39(8), 813-838

Wei Wei, Jiye Liang, Yuhua Qian, Feng Wang, Chuangyin Dang

【 2010】 Incomplete multigranulation rough set, IEEE Transactions on Systems, Man and Cybernetics-Part A, 2010, 40(2), 420-431

Yuhua Qian, Jiye Liang, Chuangyin Dang

【 2010】 Approximation reduction in inconsistent incomplete decision tables, Knowledge-Based Systems, 2010, 23(5), 427-433

Yuhua Qian, Jiye Liang, Deyu Li, Feng Wang, Nannan Ma

【 2009】 Knowledge structure, knowledge granulation and knowledge distance in a knowledge base, International Journal of Approximate Reasoning, 2009, 50(1), 174-188

Yuhua Qian, Jiye Liang, Chuangyin Dang

【 2009】 Set-valued ordered information systems, Information Sciences, 2009, 179, 2809-2832

Yuhua Qian, Jiye Liang, Chuangyin Dang

【 2009】 A new method for measuring the uncertainty in incomplete information systems, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2009, 17(6), 855-880

Yuhua Qian, Jiye Liang, Feng Wang

【 2009】 A new measure of uncertainty based on based on knowledge granulation for rough sets, Information Sciences, 2009, 179, 458-470

Jiye Liang, Junhong Wang, Yuhua Qian

【 2008】 信息系统中的信息粒与熵理论, 中国科学E辑：信息科学， 2008, 38(12), 2048-2065

梁吉业，钱宇华

【 2008】 On the evaluation of the decision performance of an incomplete decision table, Data & Knowledge Engineering, 2008, 65(3), 373-400

Yuhua Qian, Jiye Liang, Chuangyin Dang, Haiyun Zhang, Jianmin Ma

【 2008】 Consistency measure, inclusion degree and fuzzy measure in decision tables, Fuzzy Sets and Systems, 2008, 159, 2353-2377

Yuhua Qian, Jiye Liang, Chuangyin Dang

【 2008】 Information granules and entropy theory in information systems, Science in China, Series F: Information Sciences, 2008, 51(10), 1427-1444

Jiye Liang, Yuhua Qian

【 2008】 Interval ordered information systems, Computers & Mathematics with Applications, 2008, 56, 1994-2009.

Yuhua Qian, Jiye Liang, Chuangyin Dang

【 2008】 Combination entropy & combination granulation in rough set theory, Fuzziness and Knowledge-Based Systems, 2008, 16(2), 179-193

Yuhua Qian, Jiye Liang

【 2008】 Converse approximation and rule extraction from decision tables in rough set theory, Computers & Mathematics with Applications, 2008, 55, 1754-1765

Yuhua Qian, Jiye Liang, Chuangyin Dang

【 2008】 Uncertainty measure of rough sets based on a knowledge granulation for incomplete information systems, Knowledge-Based Systems,2008, 16(2), 233-244

Junhong Wang, Jiye Liang, Yuhua Qian, Chuangyin Dang

【 2008】 Measures for evaluating the decision performance of a decision table in rough set theory, Information Sciences, 2008, 178(1), 181-202

Yuhua Qian, Jiye Liang, Deyu Li, Haiyun Zhang, Chuangyin Dang