Journal Articles

• Kehua Yuan, Duoqian Miao, Yiyu Yao, Hongyun Zhang and Xuerong Zhao.Feature Selection Using Zentropy-Based Uncertainty Measure. IEEE Transactions on Fuzzy Systems, vol. 32, no. 4, pp. 2246-2260.2024.  
• Li Ying, Yizhang Liu, Zhifei Zhang, Duoqian Miao.Multigranularity-Aware Network for SAR Ship Detection in Complex Backgrounds.IEEE Geoscience and Remote Sensing Letters. 2024, Volume:21  
• Jing Chen, Zhihua Wei, Jiaqi Wang, Rui Wang, Chuanyang Gong, Hongyun Zhang, Duoqian Miao.Supplementing domain knowledge to BERT with semi-structured information of documents.Expert Systems with Applications. Volume 235, January 2024, 121054  
• Ying Yu, Ming Wan, Jin Qian, Duoqian Miao, Zhiqiang Zhang, PenFeature selection for multi-label learning based on variable-degree multi-granulation decision-theoretic rough sets.International Journal of Approximate Reasoning. Volume 169, June 2024, 109181  
• Cairong Zhao, Yubin Wang, Xinyang Jiang, Yifei Shen, Kaitao Song, Dongsheng Li, Duoqian Miao.Learning Domain Invariant Prompt for Vision-Language Models.IEEE Transactions on Image Processing. 2024, Volume:33, 1348-1360  
• Yong Wang, Jianfei Pu, Duoqian Miao, L. Zhang, Lulu Zhang, Xin Du.SCGRFuse: An infrared and visible image fusion network based on spatial/channel attention mechanism and gradient aggregation residual dense blocks.Eng.Appl.Artif.Intell.107898(132),2024.  
• Ying Yu, Meiyue Lv, Jin Qian, Jingqin Lv, Duoqian Miao.Fuzzy information gain ratio-based multi-label feature selection with label correlation.International Journal of Machine Learning and Cybernetics. 2024, 15, 2737–2747  
• Xiying Chen , Caihui Liu , Bowen Lin , Jianying Lai , Duoqian Miao.AHA-3WKM: The optimization of K-means with three-way clustering and artificial hummingbird algorithm.Information Sciences. Volume 672, June 2024, 120661  
• Jin Qian, Yuehua Lu, Ying Yu, Jie Zhou, Duoqian Miao.Hierarchical Sequential Three-Way Multi-Attribute Decision-Making Method Based on Regret Theory in Multi-Scale Fuzzy Decision Systems.IEEE Transactions on Fuzzy Systems, 2024, 1-14  
• Dong Chen, Duoqian Miao, Xuerong Zhao.Hyneter:Hybrid Network Transformer for Multiple Computer Vision Tasks.IEEE Transactions on Industrial Informatics. Volume: 20, Issue: 6, June 2024, 8773-8785  
• Bo Lin,Caihui Liu,Duoqian Miao.An improved decision tree algorithm based on boundary mixed attribute dependency.Applied Intelligence. 2024, 54, 2136–2153  
• Junyao Gao, Xinyang Jiang, Shuguang Dou, Dongsheng Li, Duoqian Miao, Cairong Zhao.Re-ID-leak: Membership Inference Attacks Against Person Re-identification.International Journal of Computer Vision. 2024  
• Yanping Li, Duoqian Miao, Hongyun Zhang, Jie Zhou, Cairong Zhao.Multi-granularity Cross Transformer Network for person re-identification.Pattern Recognition. Volume 150, June 2024, 110362  
• Jin Qian, Haoying Jiang, Ying Yu, Hui Wang, Duoqian Miao.Multi-level personalized k-anonymity privacy-preserving model based on sequential three-way decisions.Expert Systems with Applications. Volume 239, 1 April 2024, 122343  
• Li Ying, Duoqian Miao, Zhifei Zhang.A robust one-stage detector for SAR ship detection with sequential three-way decisions and multi-granularity.Information Sciences. Volume 667, May 2024, 120436  
• Yanping Li; Yizhang Liu; Hongyun Zhang; Cairong Zhao; Zhihua Wei; Duoqian Miao.Occlusion-Aware Transformer With Second-Order Attention for Person Re-Identification.IEEE Transactions on Image Processing. 2024, Volume 33, 3200-3211  
• Jiaqiang Wan, Kesheng Zhang, Wenyi Ran, Duoqian Miao.A feasible solution model for manifold clustering.Engineering Applications of Artificial Intelligence. Volume 134, August 2024, 108635  
• Kehua Yuan, Weihua Xu, Duoqian Miao.A local rough set method for feature selection by variable precision composite measure.Applied Soft Computing. Volume 155, April 2024, 111450  
• Dong Chen, Duoqian Miao, Xuerong Zhao.Multi-Granularity Detector for Enhanced Small Object Detection Under Sample Imbalance.Information Science.2024, 121076  
• Jie Zhao, Renxia Wan, Duoqian Miao.Conflict Analysis Triggered by Three-Way Decision and Pythagorean Fuzzy Rough Set.International Journal of Computational Intelligence Systems. 2024, 17, 17  
• Li Ying, Duoqian Miao, Zhifei Zhang, Hongyun Zhang, Witold Pedrycz.Multi-granularity feature enhancement network for maritime ship detection.CAAI Transactions on Intelligence Technology. Volume 9, Issue 3, June 2024, Pages 649-664  

• Jiaqiang Wan, Kesheng Zhang, Zhenpeng Guo, Duoqian Miao. A new clustering algorithm based on connectivity. Applied Intelligence, 2023.53:20272-20292.  
• Jie Zhao, Renxia Wan, Duoqian Miao, Boyang Zhang. Rule acquisition of three‐way semi‐concept lattices in formal decision context. CAAI Transactions on Intelligence Technology, 2023.53:23641–23654.  
• Caihui Liu, Jianying Lai, Bowen Lin, Duoqian Miao. An improved ID3 algorithm based on variable precision neighborhood rough sets. Applied Intelligence, 2023,53:23641-23654..  
• Rui Shu, Cairong Zhao, Shuyang Feng, Liang Zhu, Duoqian Miao. Text-Enhanced Scene Image Super-Resolution via Stroke Mask and Orthogonal Attention. IEEE Transactions on Circuits and Systems for Video Technology,2023.3267133.  
• Ying Yu, Zhen Cai, Duoqian Miao, Jin Qian, Hong Tang. An interactive network based on transformer for multimodal crowd counting. Applied Intelligence,2023.53:22602-22614.  
• Tianna Zhao, Yuanjian Zhang, Duoqian Miao, Hongyun Zhang. Multi-granular labels with three-way decisions for multi-label classification. International Journal of Machine Learning and Cybernetics,2023.14:3737-3752.  
• Wenli Sun, Xinyang Jiang, Shuguang Dou, Dongsheng Li, Duoqian Miao, Cheng Deng, Cairong Zhao. Invisible Backdoor Attack with Dynamic Triggers against Person Re-IDentification. IEEE Transactions on Information Forensics and Security, 2023.3322659.  
• Kecan Cai, Hongyun Zhang, Witold Pedrycz, Duoqian Miao. SSS-Net: A shadowed-sets-based semi-supervised sample selection network for classification on noise labeled images. Knowledge-Based Systems, 2023, 276110732.  
• Changming Zhu, Yanchen Liu, Duoqian Miao, Yilin Dong, Witold Pedrycz. Within-cross-consensus-view representation-based multi-view multi-label learning with incomplete data. Neurocomputing, 2023.557126729.  
• Zifan Song, Cairong Zhao, Guosheng Hu, Duoqian Miao. Learning Scene-Pedestrian Graph for End-to-End Person Search. IEEE Transactions on Industrial Informatics, 2023.3298473.  
• Hongyun Zhang, Miao Li, Duoqian Miao, Witold Pedrycz, Zhaoguo Wang, Minghui Jiang. Construction of a feature enhancement network for small object detection. Pattern Recognition, 2023, 143109801.  
• Li Ying, Duoqian Miao, Zhifei Zhang. 3WM-AugNet: A Feature Augmentation Network for Remote Sensing Ship Detection Based on Three-Way Decisions and Multigranularity. IEEE Transactions on Geoscience and Remote Sensing, 2023(61):1-19  
• Xianyong Zhang, Zhong Yuan and Duoqian Miao. Outlier Detection Using Three-Way Neighborhood Characteristic Regions and Corresponding Fusion Measurement. IEEE Transactions on Knowledge and Data Engineering. 2023.3312108.  
• Yadi Wang, Hongyun Zhang, Duoqian Miao, Witold Pedrycz. Multigranularity re-ranking for visible-infrared person reidentification. CAAI Transaction on Intelligence Technology.2023.cit2.12182.  
• Ziye Wang, Duoqian Miao. Spatial-temporal single object tracking with three-way decision theory. International Journal of Approximate Reasoning, 2023, 154:38-47.  
• Dong Chen, Duoqian Miao. Control Distance IoU and Control Distance IoU Loss for Better Bounding Box Regression. Pattern Recognition, 2023, 137:109256  
• Yong Wang, Ningchuang Yang, Duoqian Miao, Qiuyi Chen. Dual-channel and multi-granularity gated graph attention network for aspect-based sentiment analysis. Applied Intelligence (2023) 53:13145–13157.  

• Caihui Liu, Bowen Lin, Jianying Lai, Duoqian Miao. An improved decision tree algorithm based on variable precision neighborhood similarity. Information Sciences, 2022, 615:152–166.  
• Dong Chen, Duoqian Miao, Cairong Zhao, Hailong Zhou. Candidate region acquisition optimization algorithm based on multi-granularity data enhancement. International Journal of Machine Learning and Cybernetics, 2022, 13:1847-1860.  
• Yong Wang, Jin Chen, Yujuan Han, Duoqian Miao. Combining attention mechanism and Retinex model to enhance low-light images. Computers & Graphics, 2022, 104:95-105.  
• Cairong Zhao, Zhicheng Chen, Shuguang Dou, Zefan Qu, Jiawei Yao, Jun Wu, Duoqian Miao. Context-Aware Feature Learning for Noise Robust Person Search. IEEE Transactions on Circuits and Systems for Video Technology, 2022, 32:7047-7060.  
• Jin Qian, Chengxin Hong, Ying Yu, Caihui Liu, Duoqian Miao. Generalized multigranulation sequential three-way decision models for hierarchical classification. Information Sciences, 2022, 616:66-87  
• Tianna Zhao, Yuanjian Zhang, Duoqian Miao. Intuitionistic fuzzy-based three-way label enhancement for multi-label classification. Mathematics, 2022, 10(11):1847  
• Xuerong Zhao, Duoqian Miao. Isomorphic Relationship Between L-three-way Concept Lattices. Cognitive Computation, 2022, 14:1997–2019.  
• Changming Zhu, Shuaiping Guo, Dujuan Cao, YiTing Zhou, Duoqian Miao, Witold Pedrycz. Multi-view multi-label-based online method with threefold correlations and dynamic updating multi-region. Neural Computing and Applications, 2022, 34:6097-6117.  
• Tianna Zhao, Yuanjian Zhang, Duoqian Miao, Witold Pedrycz. Selective label enhancement for multi-label classification based on three-way decisions. International Journal of Approximate Reasoning, 2022, 150:172-187.  
• Xiaodong Yue, S. W. Liu, Q. Qian, Duoqian Miao, Can Gao. Semi-supervised shadowed sets for three-way classification on partial labeled data. Information Sciences, 2022, 607:1372-1390.  
• 徐健锋, 苗夺谦, 张远健. 分段延迟代价敏感三支决策. 软件学报, 2022, 33(10): 3754–3775.  

• Changming Zhu,Dujuan Cao, Shuaiping Guo, Rigui Zhou, Lai Wei, YiLing Dong, Duoqian Miao. Weak-label-based global and local multi-view multi-label learning with three-way clustering. International Journal of Machine Learning and Cybernetics, 2021: 1-18.  
• 余鹰,朱慧琳,钱进,潘诚,苗夺谦.基于深度学习的人群计数研究综述[J].计算机研究与发展,2021,58(12):2724-2747.  
• Cairong Zhao, Yuanpeng Tu, Zhihui Lai, Fumin Shen,Heng Tao Shen, and Duoqian Miao. Salience-guided iterative asymmetric mutual hashing for fast person re-identification. IEEE Transactions on Image Processing, 2021, 30: 7776-7789.  
• Shengdan Hu, Duoqian Miao, Witold Pedrycz. Multi granularity based label propagation with active learning for semi-supervised classification. Expert Systems with Applications, 2021: 116276.  
• Shaowei Hou, Cairong Zhao, Zhicheng Chen, Jun Wu, Zhihua Wei, Duoqian Miao. Improved instance discrimination and feature compactness for end-to-end person search. IEEE Transactions on Circuits and Systems for Video Technology, 2021.  
• Xianyong Zhang, Hongyuan Gou, Zhiying Lv, Duoqian Miao. Double-quantitative distance measurement and classification learning based on the tri-level granular structure of neighborhood system. Knowledge-Based Systems, 2021, 217: 106799.  
• Xianyong Zhang, Hong Yao, Zhiying Lv, Duoqian Miao. Class-specific information measures and attribute reducts for hierarchy and systematicness. Information Sciences, 2021, 563: 196-225.  
• 胡声丹,苗夺谦,姚一豫.基于三支标签传播的半监督属性约简.计算机学报,2021,44(11):2332-2343.  
• Renxia Wan, Duoqian Miao, Witold Pedrycz. Constrained tolerance rough set in incomplete information systems. CAAI Transactions on Intelligence Technology, 2021,6:440-449  
• Can Gao, Jie Zhou, Duoqian Miao, Xiaodong Yue, Jun Wan. Granular conditional entropy-based attribute reduction for partially labeled data with proxy labels. Information Sciences, 580 (2021) 111-128  
• Yuanjian Zhang, Tianna Zhao, Duoqian Mao, Witold Pedrycz. Granular multilabel batch active learning with pairwise label correlation. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022,52(5): 3079-3091.  
• Yuting Yang, Duoqian Miao, Hongyun Zhang. 3W‑AlignNet: A feature alignment framework for person search with three‑way decision theory. Cognitive Computation, 2021  
• Xuerong Zhao, Duoqian Miao, Hamido Fujita. Variable-precision three-way concepts in L-contexts. International Journal of Approximate Reasoning. 2021(130):107-125.  
• Can Gao, Jie Zhou, Duoqian Miao, Jajun Wen, Xiaodong Yue. Three-way decision with co-training for partially labeled data. Information Sciences.2021, 544:500–518  

• Guangming Lang, Duoqian Miao, Hamido Fujita. Three-way group conflict analysis based on pythagorean fuzzy set theory. IEEE Transactions on Fuzzy Systems. 2020, 28(3): 447-461.  
• Xiaodong Yue, Jie Zhou, Yiyu Yao, Duoqian Miao. Shadowed neighborhoods based on fuzzy rough transformation for three-way classification. IEEE Transactions on Fuzzy Systems. 2020, 28(5): 978-991.  
• Cairong Zhao, Xinbi Lv, Zhang Zhang, Wangmeng Zuo, Jun Wu, Duoqian Miao. Deep fusion feature representation learning with hard mining center-triplet-loss for person re-identification. IEEE Transactions on MultiMedia. 2020,22(12):3180-3195.  
• Sheng Luo, Duoqian Miao, Zhifei Zhang, Yuanjian Zhang, Shengdan Hu. A neighborhood rough set model with nominal metric embedding. Information Sciences. 2020, 520: 373-388.  
• Sheng Luo, Duoqian Miao, Zhifei Zhang, Zhihua Wei. Non-numerical nearest neighbor classifiers with value-object hierarchical embedding. Expert Systems with Applications. 2020, 150, article no. 113206.  
• Yuanjian Zhang, Duoqian Miao, Witold Pedrycz, Tianna Zhao, Jianfeng Xu, Ying Yu. Granular structure-based incremental updating for multi-label classification. Knowledge-based Systems. 2020, 189: 105066.  
• Jie Zhou, Zhihui Lai, Duoqian Miao, Can Gao, Xiaodong Yue, Multigranulation rough-fuzzy clustering based on shadowed sets. Information Sciences. 2020,507:553-573.  
• Jianfeng Xu, Yuanjian Zhang, Duoqian Miao. Three-way confusion matrix for classification: A measure driven view. Information Sciences. 2020,507:772-794.  
• Changming Zhu,Lin Ma,Panhong Wang,Duoqian Miao.Multi-view and Multi-label Method with Three-Way Decision-Based Clustering.Pattern Recognition and Computer Vision.2020,pp 69-80  
• Caihui Liu, Kecan Cai, Duoqian Miao, Jin Qian. Novel matrix-based approaches to computing minimal and maximal descriptions in covering-based rough sets. Information Sciences. 2020,539: 312-326.  
• Xuerong Zhao, Duoqian Miao, Baoqing Hu. On relationship between three-way concept lattices. Information Sciences. 2020,538:396-414  
• Baizhen Li, Zhihua Wei, Duoqian Miao, Nan Zhang, Wen Shen, Chang Gong, Hongyun Zhang, Lijun Sun. Improved general attribute reduction algorithms. Information Sciences. 2020, 536: 298-316.  
• Yumin Chen, Duoqian Miao. Granular regression with a gradient descent method. Information Sciences. 2020,537: 247-260.  
• 王子晔,苗夺谦,赵才荣,罗晟,卫志华.基于多粒度特征的行人跟踪检测结合算法[J].计算机研究与发展,2020,57(05):996-1002.  
• Wen Shen, Zhihua Wei, Qianwen Li, Hongyun Zhang, Duoqian Miao. Three-way decisions based blocking reduction models in hierarchical classification. Information Sciences. 2020. 523: 63-76  
• Changming Zhu, Duoqian Miao. Entropy-based multi-view matrix completion for clustering with side information. Pattern Analysis and Applications. 2020, 23:359-370.  
• Cairong Zhao, Xuekuan Wang, Wangmeng Zuo, Fumin Shen, Ling Shao, Duoqian Miao, Similarity learning with joint transfer constraints for person re-identification. Pattern Recognition, 2020, 97: 107014.  
• Changming Zhu, Duoqian Miao, Rigui Zhou, Lai Wei, Weight-and-universum-based semi-supervised multi-view learning machine. Soft Computing. 2020, 24: 10657-10679.  
• Changming Zhu, Duoqian Miao, Zhe Wang, Rigui Zhou, Lai Wei, Xiafen Zhang. Global and local multi-view multi-label learning. Neurocomputing. 2020, 371:67-77.  
• Xiaodong Yue, Yufei Chen, Duoqian Miao, Hamido Fujita, Fuzzy neighborhood covering for three-way classification. Information Sciences. 2020,507:795-808.  
• Jin Qian,Caihui Liu,Duoqian Miao,Xiaodong Yue.Sequential three-way decisions via multi-granularity.Information Sciences. 2020,507:606-629.  

• Cairong Zhao, Kang Chen, Di Zhang, Zhaoxiang Zhang, Wangmeng Zuo, Duoqian Miao. Uncertainty-optimized deep learning model for small-scale person re-identification. Science China Information Sciences. 2019, 62(12)  
• Yong Liu, Xiangping Kang, Duoqian Miao, Deyu Li, A knowledge acquisition method based on concept lattice and inclusion degree for ordered information systems. International Journal of Machine Learning and Cybernetics. 2019,10(11): 3245-3261.  
• Jie Zhou, Duoqian Miao, Can Gao, Zhihui Lai, Xiaodong Yue. Constrained three-way approximations of fussy sets: From the perspective of minimal distance.Information Sciences. 2019,502:247-267.  
• Ning Yao, Duoqian Miao, Witold Pedrycz, Hongyun Zhang, Zhifei Zhang, Causality measures and analysis: A rough set framework. Expert Systems with Applications. 2019, 136(1): 187-200.  
• Hongyun Zhang,Ting Zhang,Peipei Wang,Zhihua Wei.Multi-granularity principal curves extraction based on improved spectral clustering of complex distribution data.International Journal of Approxiamte Reasoning,2019,105:356-367.  
• Changming Zhu,Duoqian Miao.Semi-supervised one-pass multi-view learning with variable features and views.Neural Processing Letters,2019,50(1):189-226  
• Cairong Zhao,Kang Chen,Zhihua Wei,Yipeng Chen,Duoqian Miao,Wei Wang.Multilevel triplet deep learning model for person re-identification.Pattern Recognition Letters,2019,117:161-168.  
• Hongyun Zhang,Ting Zhang,Witold Pedrycz,Cairong Zhao,Duoqian Miao.Improved adaptive image retrieval with the use of shadowed sets.Pattern Recognition,2019,90:390-403.  
• Zhihua Wei,Wen Shen,Cairong Zhao,Duoqian Miao.A self-adaptive cascade ConvNets model based on label relation mining.Neurocomputing,2019,328:29-38.  
• 邓大勇,卢克文,苗夺谦,黄厚宽.知识系统中全粒度粗糙集及概念漂移的研究[J].计算机学报,2019,42(01):85-97.  
• 罗晟,苗夺谦,张志飞,张远健,胡声丹.基于层次信息粒表示的属性图链接预测模型[J].计算机研究与发展,2019,56(03):623-634.  
• Yuebing Zhang,Zhifei Zhang,Duoqian Miao,Jiaqi Wang.Three-way enhanced convolutional neural networks for sentence-level sentiment classification.Information Sciences,2019,477:55–64.  
• Yuebing Zhang,Duoqian Miao,Jiaqi Wang,Zhifei Zhang.A cost-sensitive three-way combination technique for ensemble learning in sentiment classification.International Journal of Approximate Reasoning,2019,105:85–97.  
• Ning Yao,Duoqian Miao.Identification of structures and causation in flow graphs.Information Sciences,2019,486:287–309.  

• Zhihui Lai,Dongmei Mo,WaiKeung Wong,Yong Xu,Duoqian Miao,David Zhang.Robust discriminant regression for feature extraction.IEEE Transactions on Cybernetics,2018,48:2472-2484.  
• Jie Zhou, Duoqian Miao, Can Gao, Zhihui Lai, Xiaodong Yue. Constrained three-way approximations of fuzzy sets: From the perspective of minimal distance Information Sciences. 2019, 502:247-267.  
• Xiaodong Yue,Yufei Chen,Duoqian Miao,Hamido Fujita.Fuzzy neighborhood covering for three-way decisions.Information Sciences.2018 (in press)  
• Guangming Lang,Mingjie Cai,Hamido Fujita,Qimei Xiao.Related families-based attribute reduction of dynamic covering decision information systems.Knowledge-based Systems,2018,162:161-173.  
• Cairong Zhao,Yipeng Chen,Zhihua Wei,Duoqian Miao,Xinjian Gu.QRKISS: A two-stage metric learning via QR-decomposition and KISS for person re-identification.Neural Processing Letters,2018.https://doi.org/10.1007/s11063-018-9820-x  
• Jie Zhou,Zhihui Lai,Duoqian Miao,Can Gao,Xiaodong Yue.Multigranulation rough-fuzzy clustering based on shadowed sets.Information Sciences,2018 (in press).  
• 韩朝,苗夺谦,任福继,张红云.基于粗糙集知识发现的开放领域中文问答检索[J].计算机研究与发展,2018,55(05):958-967.  
• Jie Zhou,Zhihui Lai,Can Gao,Duoqian Miao,Xiaodong Yue.Rough possibilistic c-means clustering based on multigranulation approximation regions and shadowed sets.Knowledge-Based Systems,2018,160:144-166.  
• Xiangping Kang,Duoqian Miao,Guoping Lin,Yong Liu.Relation granulation and algebraic structure based on concept lattice in complex information systems.International Journal of Machine Learning & Cybernetics,2018,9:1895-1907.  
• Cairong Zhao,Yipeng Chen,Xuekuan Wang,Waikeung Wong,Duoqian Miao,Jingsheng Lei.Kernelized random KISS metric learning for person re-identification.Neurocomputing,2018,175:403-417.  
• Can Gao,Zhihui Lai,Jie Zhou,Cairong Zhao,Duoqian Miao.Maximum decision entropy-based attribute reduction in decision-theoretic rough set model.Knowledge-Based Systems,2018,143:179-191.  
• Cairong Zhao,Xuekuan Wang,Duoqian Miao,Hanli Wang,Weishi Zheng,Yong Xu,David Zhang.Maximal granularity structure and generalized multi-view discriminant analysis for person re-identification.Pattern Recognition,2018,79:79-96.  
• Yuanjian Zhang,Duoqian Miao,Zhifei Zhang,Jianfeng Xu,Sheng Luo.A three-way selective ensemble model for multi-label classification.International Journal of Approximate Reasoning,2018,103:394-413.  
• Zhao Han,Fuji Ren,Duoqian Miao.Sentiment analysis method based on an improved modifying-matrix language model.IEEJ Transactions on Electrical and Electronic Engineering,2018,13(10):1446-1453.  

• Guangming Lang,Duoqian Miao,Mingjie Cai,Zhifei Zhang.Incremental approaches for updating reducts in dynamic covering information systems.Knowledge-Based Systems,2017,134:85-104.  
• Xianyong Zhang,Duoqian Miao.Three-way attribute reducts.International Journal of Approximate Reasoning,2017,88:401-434.  
• Cairong Zhao,Xuekuan Wang,Wai Keung Wong,Weishi Zheng,Jian Yang,Duoqian Miao.Multiple metric learning based on bar-shape descriptor for person re-identification.Pattern Recognition,2017,71:218-234.  
• Guangming Lang,Duoqian Miao,Mingjie Cai.Three-way decision approaches to conflict analysis using decision-theoretic rough set theory.Information Sciences,2017,406-407:185-207.  
• 邓大勇,薛欢欢,苗夺谦,卢克文.属性约简准则与约简信息损失的研究[J].电子学报,2017,45(02):401-407.  
• 李峰,苗夺谦,张志飞,张维.基于互信息的粒化特征加权多标签学习k近邻算法[J].计算机研究与发展,2017,54(05):1024-1035.  
• Xianyong Zhang,Duoqian Miao.Three-layer granular structures and three-way informational measures of a decision table.Information Sciences,2017,412-413:67-86.  
• Xiaodong Yue,Yufei Chen,Duoqian Miao,Jin Qian.Tri-partition neighborhood covering reduction for robust classification.International Journal of Approximate Reasoning,2017,83:371-384.  
• Feng Li,Duoqian Miao,Witold Pedcryz.Granular multi-label feature selection based on mutual information.Pattern Recognition,2017,67:410-423.  
• Jianfeng Xu,Duoqian Miao,Yuanjian Zhang,Zhifei Zhang.A three-way decisions model with probabilistic rouh sets for stream computing.International Journal of Approximate Reasoning,2017,88:1-22.  

• Xianyong Zhang,Duoqian Miao.Quantitative/qualitative region-change uncertainty/certainty in attribute reduction: Comparative region-change analyses based on granular computing.Information Sciences,2016,334-335:174-204.  
• Xiangping Kang,Duoqian Miao.A study on information granularity in formal concept analysis based on concept-bases.Knowledge-Based Systems,2016,105:147-159.  
• Xiangping Kang,Duoqian Miao.A variable precision rough set model based on the granularity of tolerance relation.Knowledge-Based Systems,2016,102:103-115.  
• 邓大勇,苗夺谦,黄厚宽.信息表中概念漂移与不确定性分析[J].计算机研究与发展,2016,53(11):2607-2612.  
• Xianyong Zhang,Duoqian Miao.Double-quantitative fusion of accuracy and importance: Systematic measure mining, benign integration construction, hierarchical attribute reduction.Knowledge-Based Systems,2016,91:219-240.  
• Xuekuan Wang,Cairong Zhao,Duoqian Miao,Zhihua Wei,Renxian Zhang,Tingfei Ye.Fusion of multiple channel features for person re-identification.Neurocomputing,2016,213:125-136.  
• Xiaohong Zhang,Duoqian Miao,Caihui Liu,Meilong Le.Constructive methods of rough approximation operators and multigranulation rough sets.Knowledge-Based Systems,2016,91:114-125.  
• Guangming Lang,Duoqian Miao,Tian Yang,Mingjie Cai.Knowledge reduction of dynamic covering decision information systems when varying covering cardinalities.Information Sciences,2016,346:236-260.  
• Lei Wang,Fuji Ren,Duoqian Miao.Multi-label emotion recognition of weblog sentence based on Bayesian networks.IEEJ Transactions on Electrical and Electronic Engineering,2016,11(2):178-184.  

• 张志飞,苗夺谦,聂建云,岳晓冬.否定句的情感不确定性度量及分类[J].计算机研究与发展,2015,52(08):1806-1816.  
• Xin Cheng,Duoqian Miao,Can Wang.A link-based approach to semantic relation analysis.Neurocomputing,2015,154:127-138.  
• Xiaodong Yue,Longbing Cao,Duoqian Miao,Yufei Chen,Bing Xu.Multi-view attribute reduction model for traffic bottleneck analysis.Knowledge-Based Systems,2015,86:1-10.  
• Caiming Zhong,Mikko Malinen,Duoqian Miao,Pasi Franti.A fast minimum spanning tree algorithm based on K-means.Information Sciences,2015,295:1-17.  

• Hongyun Zhang,Witold Pedrycz,Duoqian Miao,Zhihua Wei.From principal curves to granular principal curves.IEEE Transactions on Cybernetics,2014,44(6):748-760.  
• Rui Zhao,Zhihua Wei,YanWu,Cairong Zhao,Duoqian Miao.Bayes network based collaborating control algorithm in active multicamera network with applications to object tracking.Mathematical Problems in Engineering,2014,1-8.  
• 徐菲菲,雷景生,毕忠勤,苗夺谦,杜海舟.大数据环境下多决策表的区间值全局近似约简[J].软件学报,2014,25(09):2119-2135.  
• 张维,苗夺谦,高灿,岳晓冬.邻域粗糙协同分类模型[J].计算机研究与发展,2014,51(08):1811-1820.  
• Cairong Zhao,Zhihui Lai,Duoqian Miao,Zhihua Wei,Caihui Liu.Graph embedding discriminant analysis for face recognition.Neural Computing and Applications,2014,24(7-8):1697-1706.  
• Xiaodong Yue,Duoqian Miao,Longbing Cao,Qiang Wu,Yufei Chen.An efficient color quantization based on generic roughness measure.Pattern Recognition,2014,47(4):1777-1789.  
• Caihui Liu,Duoqian Miao,Jin Qian.On multi-granulation covering rough sets.International Journal of Approximate Reasoning,2014,55:1404-1418.  
• Xianyong Zhang,Duoqian Miao.Quantitative information architecture,granular computing and rough set models in the double-quantitative approximation space of precision and grade.Information Sciences,2014,268:147-168.  
• Xianyong Zhang,Duoqian Miao.Reduction target structure-based hierarchical attribute reduction for two-category decision-theoretic rough sets.Information Sciences,2014,277:755-776.  
• Jin Qian,Duoqian Miao,Zehua Zhang,Xiaodong Yue.Parallel attribute reduction algorithms using MapReduce.Information Sciences,2014,279:671-690.  
• Xianyong Zhang,Duoqian Miao.Region-based quantitative and hierarchical attribute reduction in the two-category decision theoretic rough set model.Knowledge-Based Systems,2014,71:146-161.  
• Pawan Lingras,Min Chen,Duoqian Miao.Qualitative and quantitative combinations of crisp and rough clustering schemes using dominance relations.International Journal Approximation Reasoning,2014,55(1):238-258.  
• Ying Yu,Witold Pedrycz,Duoqian Miao.Multi-label classification by exploiting label correlations.Expert Systems with Applications,2014,41:2989-3004.  

• Deng Wang,Duoqian Miao,Gunnar Blohm.A new method for EEG-based concealed information test.IEEE Transactions on Information Forensics & Security,2013,8:520-527.  
• Cairong Zhao,Duoqian Miao,Zhihui Lai,Can Gao,Chuancai Liu,Jingyu Yang.Two-dimensional color uncorrelated discriminant analysis for face recognition.Neurocomputing,2013,113:251–261.  
• Can Gao,Witold Pedrycz,Duoqian Miao.Rough subspace-based clustering ensemble for categorical data.Soft Computing,2013,17:1-16.  
• Ying Yu,Witold Pedrycz,Duoqian Miao.Neighborhood rough sets based multi-label classification for automatic image annotation.International Journal of Approximate Reasoning,2013,54:1373-1387.  
• Xianyong Zhang,Duoqian Miao.Two basic double-quantitative rough set models of precision and grade and their investigation using granular computing.International Journal of Approximate Reasoning,2013,54(8):1130-1148.  
• Hongyun Zhang,Witold Pedrycz,Duoqian Miao,Caiming Zhong.A global structure-based algorithm for detecting the principal graph from complex data.Pattern Recognition,2013,46(6):1638–1647.  
• 王登,苗夺谦,王睿智.一种新的基于小波包分解的EEG特征抽取与识别方法研究[J].电子学报,2013,41(01):193-198.  

• 苗夺谦,徐菲菲,姚一豫,魏莱.粒计算的集合论描述[J].计算机学报,2012,35(02):2351-2363.  
• Hongyun Zhang,Jie Zhou,Duoqian Miao,Can Gao.Bayesian rough set model: A further investigation.International Journal of Approximate Reasoning,2012,53(4):541-557.  
• Xiaodong Yue,Duoqian Miao,Nan Zhang,Longbing Cao,Qing Wu.Multiscale roughness measure for color image segmentation.Information Sciences,2012,216:93-112.  
• Caihui Liu,Duoqian Miao,Nan Zhang.Graded rough set model based on two universes and its properties.Knowledge-Based Systems,2012,33:65-72.  
• Yiyu Yao,Nan Zhang,Duoqian Miao,Feifei Xu.Set-theoretic approaches to granular computing.Fundamenta Informaticae,2012,115(2-3):247-264.  
• Deng Wang,Duoqian Miao,Gunnar Blohm.Multi-class motor imagery EEG decoding for brain-computer interfaces.Frontiers in Neuroscience,2012,6:151.doi:10.3389/fnins.2012.00151.  

• 钱进,苗夺谦,张泽华.云计算环境下知识约简算法[J].计算机学报,2011,34(12):2332-2343.  
• Min Chen,Duoqian Miao.Interval set clustering.Expert Systems with Applications,2011,38:2923-2932.  
• Yi Cheng,Duoqian Miao,Qinrong Feng.Positive approximation and converse approximation in interval-valued fuzzy rough sets.Information Sciences,2011,181(11):2086-2110.  
• Yi Cheng,Duoqian Miao.Rule extraction based on granulation order in interval-valued fuzzy information system.Expert Systems with Applications,2011,38(10):12249-12261.  
• Caiming Zhong,Duoqian Miao,Pasi Fränti.Minimum spanning tree based split-and-merge: A hierarchical clustering method.Information Sciences,2011,181(16):3397-3410.  
• Hongyun Zhang,Duoqian Miao,Caiming Zhong.Modified principal curves based fingerprint minutiae extraction and pseudo minutiae detection.International Journal of Pattern Recognition and Artificial Intelligence,2011,25(8):1243-1260.  
• Duoqian Miao,Can Gao,Nan Zhang,Zhifei Zhang.Diverse reduct subspaces based co-training for partially labeled data.International Journal of Approximate Reasoning,2011,52(8):1103-1117.  
• Jie Zhou,Duoqian Miao,Witold Pedrycz,Hongyun Zhang.Analysis of alternative objective functions for attribute reduction in complete decision tables.Soft Computing,2011,15(8):1601-1616.  
• Jie Zhou,Duoqian Miao.β-Interval attribute reduction in variable precision rough set model.Soft Computing,2011,15(8):1643-1656.  
• Jie Zhou,Witold Pedrycz,Duoqian Miao.Shadowed sets in the characterization of rough-fuzzy clustering.Pattern Recognition,2011,44(8):1738-1749.  
• Wen Li,Duoqian Miao,Weili Wang.Two-level Hierarchical combination method for text classification.Expert Systems with Applications,2011,38(3):2030-2039.  
• Yuming Chen,Duoqian Miao,Ruizhi Wang,Keshou Wu.A rough set approach to feature selection based on power set tree.Knowledge-Based Systems,2011,24(2):275-281.  
• Deng Wang,Duoqian Miao,Chen Xie.Best basis-based wavelet packet entropy feature extraction and hierarchical EEG classification for epileptic detection.Expert Systems with Applications,2011,38:14314-14320.  

• 岳晓冬,苗夺谦,钟才明.基于粗糙性度量的彩色图像分割方法[J].自动化学报,2010,36(06):807-816.  
• 张楠,苗夺谦,岳晓冬.区间值信息系统的知识约简[J].计算机研究与发展,2010,47(08):1362-1371.  
• 苗夺谦,周杰,张楠,冯琴荣,王睿智.基于代数方程组的属性约简研究[J].电子学报,2010,38(05):1021-1027.  
• Caiming Zhong,Duoqian Miao,Ruizhi Wang.A graph-theoretical clustering method based on two rounds of minimum spanning trees.Pattern Recognition.2010,43(3):752-766.  
• Qinrong Feng,Duoqian Miao,Yi Cheng.Hierarchical decision rules mining.Expert Systems with Applications,2010,37(3):2081-2091.  
• Yuming Chen,Duoqian Miao,Ruizhi Wang.A rough set approach to feature selection based on ant colony optimization.Pattern Recognition Letters,2010,31(3):226-233.  
• Yuming Chen,Duoqian Miao,Hongyun Zhang.Neighborhood outlier detection.Expert Systems with Applications,2010,37(12):8745-8749.  
• Na Jiao,Duoqian Miao,Jie Zhou.Two novel feature selection methods based on decomposition and composition.Expert Systems with Applications,2010,37(12):7419-7426.  

• Pawan Lingras, Min Chen, Duoqian Miao, Semi-supervised rough cost/benefit decisions. Fundamenta Informaticae, 2009, 94: 233-244.  
• Zhihua Wei, Duoqian Miao, Jean-Hugues Chauchat, Rui Zhao, Wen Li, N-grams based feature selection and text representation for chinese text classification, 2009,2(4): 365-374  
• 陈玉明,苗夺谦.基于幂图的属性约简搜索式算法[J].计算机学报,2009,32(08):1486-1492.  
• Pawan Lingras,Min Chen,Duoqian Miao.Rough cluster quality index based on decision theory.IEEE Transactions on Knowledge and Data Engineering,2009,21(7):1014-1026.  
• Duoqian Miao,Qiguo Duan,Hongyun Zhang,Na Jiao.Rough set based hybrid algorithm for text classification.Expert Systems with Applications,2009,36(5):8932-8937.  
• Duoqian Miao,Yan Zhao,Yiyu Yao,Huaxiong Li,Feifei Xu.Relative reducts in consistent and inconsistent decision tables of the Pawlak rough set model.Information Sciences,2009,179(24):4140-4150.  
• Caiming Zhong,Duoqian Miao.A comment on "Using locally estimated geodesic distance to optimize neighborhood graph for isometric data embedding".Pattern Recognition,2009,42(5):1012-1013.  

• 苗夺谦,王睿智,冉巍.基于动态贝叶斯网络的连续语音识别框架及其Token传递模型[J].计算机研究与发展,2008(11):1882-1891.  
• Caiming Zhong,Duoqian Miao,Ruizhi Wang,Xinmin Zhou.DIVFRP: An automatic divisive hierarchical clustering method based on the furthest reference points.Pattern Recognition Letters,2008,29(16):2067-2077.  

• Duoqian Miao,Qingshi Tang,Weijie Fu,Hongyun Zhang.Fingerprint minutiae extraction based on principal curves.Pattern Recognition Letters,2007,28(16):2184-2189.  

• 苗夺谦.Rough Set理论中连续属性的离散化方法[J].自动化学报,2001(03):296-302.  
• Jue Wang, Duoqian Miao, Analysis on attribute reduction strategies of rough set. Journal of Computer Science and Technology. 1998,13(2): 189-193.  
• 苗夺谦, 王珏. 基于粗糙集的多变量决策树构造方法[J]. 软件学报,1997,8(6):425-431.  
• 魏莱,苗夺谦,徐菲菲,夏富春.基于覆盖的粗糙模糊集模型研究[J].计算机研究与发展,2006(10):1719-1723.  
• 张红云,苗夺谦,张东星.基于主曲线的脱机手写数字结构特征分析及选取[J].计算机研究与发展,2005(08):1344-1349.  
• 苗夺谦,张红云,李道国,王真.基于主曲线的脱机手写数字识别[J].电子学报,2005(09):1639-1643.  
• 苗夺谦,王珏.粗糙集理论中概念与运算的信息表示[J].软件学报,1999(02):2-5.  
• 王珏,王任,苗夺谦,郭萌,阮永韶,袁小红,赵凯.基于Rough Set理论的“数据浓缩”[J].计算机学报,1998(05):393-400.  
• 苗夺谦,胡桂荣.知识约简的一种启发式算法[J].计算机研究与发展,1999(06):42-45.  
• Duoqian Miao,Lishan Hou.A comparison of rough set methods and representative inductive learning algorithms.Fundamenta Informaticae,2004,59(2-3):203-219.