Xiaodong Yue - RankMe

123 papers A* 13A 3B 9C 1Misc 1Journal 55Unranked 40

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A fair spectral clustering with weighted fairness constraints. Pattern Recognit. Ruixin Feng, Caiming Zhong, Jiangbo Qian, Tiejun Pan, Xiaodong Yue
2026	A*	`conf`	Active Retrieval-Augmented Generation with Conflict-Fused Uncertainty Quantification. WWW Tao Tang, Xiaodong Yue, Yufei Chen, Jie Shi, Shijie Ding
2026	J	`jnl`	Clinical knowledge enhanced medical image classification. Pattern Recognit. Zhikang Xu, Jiye Liang, Zhipeng Wei, Xiaodong Yue, Deyu Li
2026	J	`jnl`	D-EDL: Differential evidential deep learning for robust medical out-of-distribution detection. Medical Image Anal. Wei Fu, Yufei Chen, Yuqi Liu, Xiaodong Yue
2026	J	`jnl`	Enhancing Reliability in Medical Image Classification of Imperfect Views. IEEE Trans. Circuits Syst. Video Technol. Wei Liu, Yufei Chen, Xiaodong Yue, Changqing Zhang, Shaorong Xie
2026	A*	`conf`	Enhancing Trusted Multi-View Classification via Adaptive Regularization Guided by View-Specific Biases. WWW Zhiyuan Liu, Xiaodong Yue, Yufei Chen, Shijie Ding, Jie Shi
2026	J	`jnl`	KP2L: Knowledge-driven pyramid prototype learning for semi-supervised medical image segmentation. Knowl. Based Syst. Yuqi Liu, Yufei Chen, Wei Fu, Xiaodong Yue, Thierry Denoeux
2026	A*	`conf`	MGK-RAG: Multi-Granularity Knowledge Guided Retrieval-Augmented Generation for Radiology Report. WWW Jiaqing Ma, Xiaodong Yue, Yufei Chen, Jie Shi, Zhipeng Wei, Zeyu Jia
2026	A*	`conf`	Not All Inconsistency Is Equal: Decomposing LVLM Uncertainty into Belief Divergence and Belief Conflict. AAAI Jie Shi, Xiaodong Yue, Wei Liu, Yufei Chen, Feifan Dong
2026	J	`jnl`	REDNet: Reliable Evidential Discounting Network for Multi-Modality Medical Image Segmentation. IEEE Trans. Medical Imaging Shichen Sun, Yufei Chen, Xiaodong Yue, Chao Ma, Xiahai Zhuang
2026	J	`jnl`	Submodular neighborhood covering reduction for tri-partition classification. Int. J. Approx. Reason. Xiaodong Yue, Renxia Wan, Jie Shi, Zihao Li, Zhipeng Wei
2025	—	`conf`	A Causality-Driven Multi-Modal Alignment Method in Medical Classification. BIBM Xiaolong Shen, Yufei Chen, Yina Li, Xiaodong Yue, Chao Ma
2025	—	`conf`	Breaking Distributional Assumptions in Multi-view Learning: Test-Time Adaptive Fusion via Conformalized Evidence Representation. MMAsia Shijie Ding, Xiaodong Yue, Yufei Chen, Jie Shi, Dongqi Xia
2025	—	`conf`	Dual-View Gradient Probes: Disentangling Uncertainty for Deep Active Learning. MMAsia Dongqi Xia, Xiaodong Yue, Yufei Chen, Jie Shi, Shijie Ding
2025	—	`conf`	ECG Report Generation with Diagnostic Knowledge Enhanced Prompt Learning. CLIP@MICCAI Panpan Fan, Xiaodong Yue, Yufei Chen, Zhipeng Wei, Jie Shi, Zhikang Xu
2025	A*	`conf`	Enhancing Multi-View Classification Reliability with Adaptive Rejection. AAAI Wei Liu, Yufei Chen, Xiaodong Yue
2025	A*	`conf`	Enhancing Testing-Time Robustness for Trusted Multi-View Classification in the Wild. CVPR Wei Liu, Yufei Chen, Xiaodong Yue
2025	J	`jnl`	Evidential dissonance measure in robust multi-view classification to resist adversarial attack. Inf. Fusion Xiaodong Yue, Zhicheng Dong, Yufei Chen, Shaorong Xie
2025	J	`jnl`	Fusing fuzzy rough sets and mean shift for anomaly detection. Int. J. Approx. Reason. MengYao Liao, Zhiyu Chen, Can Gao, Jie Zhou, Xiaodong Yue
2025	—	`conf`	H-MEAN: Hierarchical Multi-view Evidence Aggregation Network for Trustworthy Medical Image Classification. BIBM Yina Li, Yufei Chen, Wei Liu, Jingen Qu, Chao Ma, Xiaodong Yue
2025	—	`conf`	Integrate Semantic Radiomics as Prior Evidence Into Evidential Deep Learning for Pelvic Lipomatosis Diagnosis. MICCAI (15) Zheran Zhang, Xiaodong Yue, Maoyu Wang, Zhikang Xu, Yufei Chen, Zhipeng Wei
2025	—	`conf`	Integrating Clinical Knowledge into Radiology Report Generation to Enhance Diagnosis. BIBM Zhenqian Cao, Xiaodong Yue, Yufei Chen, Zhikang Xu, Zhipeng Wei, Zihao Li
2025	—	`conf`	Lesion-Aware Prostate DWI Synthesis Using Latent Diffusion. BIBM Haibo Wang, Xiaodong Yue, Yufei Chen, Zhipeng Wei, Jie Shi, Zhenqian Cao
2025	A	`conf`	Leveraging Intra-Modal Consistency for Cross-Modal Alignment and Retrieval. CIKM Fengyang Mao, Xiaodong Yue, Yufei Chen, Jiaqing Ma, Zheran Zhang, Jie Shi
2025	J	`jnl`	MU-OLTC: meta uncertainty calibration for open-set long-tailed classification. Int. J. Mach. Learn. Cybern. Zihao Li, Xiaodong Yue, Jiye Liang, Jie Shi, Zhipeng Wei
2025	A	`conf`	Measuring Uncertainty in Medical Image Diagnosis via Conformal Focal Loss. CIKM Ao Yang, Xiaodong Yue, Yufei Chen
2025	—	`conf`	Refining Confusion and Ignorance in Trusted Multi-View Classification. WWW (Companion Volume) Xujing Zhou, Xiaodong Yue, Yufei Chen, Linye Li
2025	A*	`conf`	Trusted Open-World Multi-View Classification with Dynamic Opinion Aggregation. ACM Multimedia Zhicheng Dong, Xiaodong Yue, Yufei Chen, Yuxian Zhou
2025	—	`conf`	Trusted Retinal Image Registration via Uncertain Keypoint Matching. BIBM Zhipeng Wei, Xiaodong Yue, Yufei Chen, Zhikang Xu, Zheran Zhang, Zhenqian Cao
2025	C	`conf`	Uncertainty-Aware Modeling of Q-Values for Efficient Exploration in Deep Reinforcement Learning. SoMeT Jianyi Wu, Xiaodong Yue, Jie Shi
2024	J	`jnl`	A general variation-driven network for medical image synthesis. Appl. Intell. Yufei Chen, Xiaoyu Yang, Xiaodong Yue, Xiang Lin, Qi Zhang, Hamido Fujita
2024	J	`jnl`	Analysis of core attribute and approximate reduct based on the three-way decision. Appl. Soft Comput. Can Gao, Zhicheng Wang, Jie Zhou, Hang Zeng, Xiaodong Yue
2024	A*	`conf`	Building Trust in Decision with Conformalized Multi-view Deep Classification. ACM Multimedia Wei Liu, Yufei Chen, Xiaodong Yue
2024	—	`conf`	ConformalRefiner: Retinal Vessel Topology Reconstruction via Conformal Risk Control. IJCRS (3) Xiaolong Pang, Zhipeng Wei, Jie Shi, Xiaodong Yue
2024	—	`conf`	Cross-Weighting Knowledge Distillation for Object Detection. IJCRS (1) Zhaoyi Li, Zihao Li, Xiaodong Yue
2024	J	`jnl`	Deep Closing: Enhancing Topological Connectivity in Medical Tubular Segmentation. IEEE Trans. Medical Imaging Qian Wu, Yufei Chen, Wei Liu, Xiaodong Yue, Xiahai Zhuang
2024	—	`conf`	Deep Evidential Active Learning with Uncertainty-Aware Determinantal Point Process. ICPR (1) Yuxian Zhou, Xiaodong Yue, Yufei Chen, Shaorong Xie
2024	—	`conf`	Evidence Harmonization Network for Tumor Segmentation with Missing Modalities. BIBM Shichen Sun, Yufei Chen, Yuqi Liu, Xiaodong Yue
2024	A*	`conf`	Hyper-opinion Evidential Deep Learning for Out-of-Distribution Detection. NeurIPS Jingen Qu, Yufei Chen, Xiaodong Yue, Wei Fu, Qiguang Huang
2024	J	`jnl`	Involving logical clinical knowledge into deep neural networks to improve bladder tumor segmentation. Medical Image Anal. Xiaodong Yue, Xiao Huang, Zhikang Xu, Yufei Chen, Chuanliang Xu
2024	J	`jnl`	Selecting reliable instances based on evidence theory for transfer learning. Expert Syst. Appl. Ying Lv, Bofeng Zhang, Xiaodong Yue, Thierry Denoeux, Shan Yue
2024	J	`jnl`	Three-way decision-based Takagi-Sugeno-Kang fuzzy classifier for partially labeled data. Appl. Soft Comput. Linchao Pan, Can Gao, Jie Zhou, Gong Chen, Xiaodong Yue
2024	—	`conf`	Trusted Multi-view Pancreatic Tumor Subtypes Diagnosis through Augmented Opinion. BIBM Qiguang Huang, Yufei Chen, Yuqi Liu, Xiaodong Yue, Chao Ma
2024	J	`jnl`	Typicality-Aware Adaptive Similarity Matrix for Unsupervised Learning. IEEE Trans. Neural Networks Learn. Syst. Jie Zhou, Can Gao, Xizhao Wang, Zhihui Lai, Jun Wan, Xiaodong Yue
2024	—	`conf`	Uncertainty-Aware Multi-view Learning for Prostate Cancer Grading with DWI. MICCAI (10) Zhicheng Dong, Xiaodong Yue, Yufei Chen, Xujing Zhou, Jiye Liang
2023	—	`conf`	Accelerating Deep Reinforcement Learning with Fuzzy Logic Rules. IEA/AIE (2) Jinxin Zhan, Xiaodong Yue, Zihao Li, Kai Han
2023	B	`conf`	Correlation and Foreground Attention to Improve Object Detection. ICIP Yudi Dong, Xiaodong Yue, Zhikang Xu, Shaorong Xie
2023	—	`conf`	Deep Determinantal Q-Learning with Role Aware. IEA/AIE (2) Kai Han, Xiaodong Yue, Wei Liu, Jinxin Zhan
2023	—	`conf`	Evidence Reconciled Neural Network for Out-of-Distribution Detection in Medical Images. MICCAI (3) Wei Fu, Yufei Chen, Wei Liu, Xiaodong Yue, Chao Ma
2023	J	`jnl`	Improved Object Detection Method Utilizing YOLOv7-Tiny for Unmanned Aerial Vehicle Photographic Imagery. Algorithms Linhua Zhang, Ning Xiong, Xinghao Pan, Xiaodong Yue, Peng Wu, Caiping Guo
2023	J	`jnl`	Low-Rank Linear Embedding for Robust Clustering. IEEE Trans. Knowl. Data Eng. Jie Zhou, Witold Pedrycz, Jun Wan, Can Gao, Zhihui Lai, Xiaodong Yue
2023	B	`conf`	Multi-Dimensional Pruned Sparse Convolution for Efficient 3D Object Detection. ICIP Linye Li, Xiaodong Yue, Zhikang Xu, Shaorong Xie
2023	A*	`conf`	Safe Multi-View Deep Classification. AAAI Wei Liu, Yufei Chen, Xiaodong Yue, Changqing Zhang, Shaorong Xie
2023	J	`jnl`	Special issue on fuzzy systems for biomedical science in healthcare. Appl. Soft Comput. Weiping Ding, Javier Andréu Pérez, Yiu-ming Cheung, Swagatam Das, Xiaodong Yue, Dariusz Mrozek
2023	A*	`conf`	T-distributed Spherical Feature Representation for Imbalanced Classification. AAAI Xiaoyu Yang, Yufei Chen, Xiaodong Yue, Shaoxun Xu, Chao Ma
2023	A*	`conf`	Trusted Fine-Grained Image Classification through Hierarchical Evidence Fusion. AAAI Zhikang Xu, Xiaodong Yue, Ying Lv, Wei Liu, Zihao Li
2023	—	`conf`	Trusted Fine-grained Medical Image Classification through Multiple Evidence Fusion. BIBM Zhikang Xu, Xiaodong Yue, Bofeng Zhang, Ying Lv, Zhipeng Wei
2022	—	`conf`	Convolutional Redistribution Network for Multi-view Medical Image Diagnosis. CLIP@MICCAI Yuan Zhou, Xiaodong Yue, Yufei Chen, Chao Ma, Ke Jiang
2022	J	`jnl`	Deep evidential fusion network for medical image classification. Int. J. Approx. Reason. Shaoxun Xu, Yufei Chen, Chao Ma, Xiaodong Yue
2022	J	`jnl`	Domain Adaptation with Data Uncertainty Measure Based on Evidence Theory. Entropy Ying Lv, Bofeng Zhang, Guobing Zou, Xiaodong Yue, Zhikang Xu, Haiyan Li
2022	—	`conf`	Harnessing Deep Bladder Tumor Segmentation with Logical Clinical Knowledge. MICCAI (4) Xiao Huang, Xiaodong Yue, Zhikang Xu, Yufei Chen
2022	J	`jnl`	Hierarchical multilabel classification by exploiting label correlations. Int. J. Mach. Learn. Cybern. Zhikang Xu, Bofeng Zhang, Deyu Li, Xiaodong Yue
2022	J	`jnl`	Local linear embedding based interpolation neural network in pancreatic tumor segmentation. Appl. Intell. Xiaoyu Yang, Yufei Chen, Xiaodong Yue, Chao Ma, Panpan Yang
2022	J	`jnl`	Parameterized maximum-entropy-based three-way approximate attribute reduction. Int. J. Approx. Reason. Can Gao, Jie Zhou, Jinming Xing, Xiaodong Yue
2022	—	`ed.`	Rough Sets - International Joint Conference, IJCRS 2022, Suzhou, China, November 11-14, 2022, Proceedings IJCRS JingTao Yao, Hamido Fujita, Xiaodong Yue, Duoqian Miao, Jerzy W. Grzymala-Busse, Fanzhang Li
2022	—	`conf`	Selecting Reliable Instances from ImageNet for Medical Image Domain Adaptation. BIBM Ying Lv, Xiaodong Yue, Zhikang Xu, Yufei Chen, Zihao Li
2022	J	`jnl`	Semi-supervised shadowed sets for three-way classification on partial labeled data. Inf. Sci. Xiaodong Yue, S. W. Liu, Q. Qian, Duoqian Miao, Can Gao
2022	B	`conf`	Stable Clustering Ensemble Based on Evidence Theory. ICIP Haijie Fu, Xiaodong Yue, Wei Liu, Thierry Denoeux
2022	J	`jnl`	Target-aware U-Net with fuzzy skip connections for refined pancreas segmentation. Appl. Soft Comput. Yufei Chen, Chang Xu, Weiping Ding, Shichen Sun, Xiaodong Yue, Hamido Fujita
2022	J	`jnl`	Three-Way Image Classification with Evidential Deep Convolutional Neural Networks. Cogn. Comput. Xiaodong Yue, Yufei Chen, Bin Yuan, Ying Lv
2022	A*	`conf`	Trusted Multi-View Deep Learning with Opinion Aggregation. AAAI Wei Liu, Xiaodong Yue, Yufei Chen, Thierry Denoeux
2022	—	`conf`	Uncertainty-Aware Deep Open-Set Object Detection. IJCRS Qi Hang, Zihao Li, Yudi Dong, Xiaodong Yue
2022	—	`conf`	Video Object Detection with MeanShift Tracking. IJCRS Shuai Zhang, Wei Liu, Haijie Fu, Xiaodong Yue
2022	B	`conf`	Weakly-supervised Cerebrovascular Segmentation Network with Shape Prior and Model Indicator. ICMR Qian Wu, Yufei Chen, Ning Huang, Xiaodong Yue
2021	J	`jnl`	Clothing fashion style recognition with design issue graph. Appl. Intell. Xiaodong Yue, Cheng Zhang, Hamido Fujita, Ying Lv
2021	—	`conf`	Deep Evidential Fusion Network for Image Classification. BELIEF Shaoxun Xu, Yufei Chen, Chao Ma, Xiaodong Yue
2021	—	`conf`	Deep Neural Networks with Prior Evidence for Bladder Cancer Staging. BIBM Xiaoqian Zhou, Xiaodong Yue, Zhikang Xu, Thierry Denoeux, Yufei Chen
2021	—	`conf`	Ensemble of Adapters for Transfer Learning Based on Evidence Theory. BELIEF Ying Lv, Bofeng Zhang, Xiaodong Yue, Zhikang Xu, Wei Liu
2021	J	`jnl`	Granular conditional entropy-based attribute reduction for partially labeled data with proxy labels. CoRR Can Gao, Jie Zhou, Duoqian Miao, Xiaodong Yue, Jun Wan
2021	J	`jnl`	Granular-conditional-entropy-based attribute reduction for partially labeled data with proxy labels. Inf. Sci. Can Gao, Jie Zhou, Duoqian Miao, Xiaodong Yue, Jun Wan
2021	B	`conf`	Integrating General and Specific Priors into Deep Convolutional Neural Networks for Bladder Tumor Segmentation. IJCNN Xiao Huang, Xiaodong Yue, Zhikang Xu, Yufei Chen
2021	—	`conf`	Multi-branch Recurrent Attention Convolutional Neural Network with Evidence Theory for Fine-Grained Image Classification. BELIEF Zhikang Xu, Bofeng Zhang, Haijie Fu, Xiaodong Yue, Ying Lv
2021	J	`jnl`	Principles for constructing three-way approximations of fuzzy sets: A comparative evaluation based on unsupervised learning. Fuzzy Sets Syst. Jie Zhou, Witold Pedrycz, Can Gao, Zhihui Lai, Xiaodong Yue
2021	J	`jnl`	Projected fuzzy C-means clustering with locality preservation. Pattern Recognit. Jie Zhou, Witold Pedrycz, Xiaodong Yue, Can Gao, Zhihui Lai, Jun Wan
2021	J	`jnl`	Three-way decision with co-training for partially labeled data. Inf. Sci. Can Gao, Jie Zhou, Duoqian Miao, Jiajun Wen, Xiaodong Yue
2021	—	`conf`	Variational Synthesis Network for Generating Micro Computed Tomography from Cone Beam Computed Tomography. BIBM Xiaoyu Yang, Yufei Chen, Xiaodong Yue, Xiang Lin, Qi Zhang
2020	—	`conf`	Clustering Ensemble Selection with Analytic Hierarchy Process. ICONIP (4) Wei Liu, Xiaodong Yue, Caiming Zhong, Jie Zhou
2020	—	`conf`	Evidential Deep Neural Networks for Uncertain Data Classification. KSEM (2) Bin Yuan, Xiaodong Yue, Ying Lv, Thierry Denoeux
2020	J	`jnl`	Fuzzy neighborhood covering for three-way classification. Inf. Sci. Xiaodong Yue, Yu-Fei Chen, Duoqian Miao, Hamido Fujita
2020	A	`conf`	Integrating Diagnosis Rules into Deep Neural Networks for Bladder Cancer Staging. CIKM Cheng Zhang, Xiaodong Yue, Yufei Chen, Ying Lv
2020	J	`jnl`	Multigranulation rough-fuzzy clustering based on shadowed sets. Inf. Sci. Jie Zhou, Zhihui Lai, Duoqian Miao, Can Gao, Xiaodong Yue
2020	J	`jnl`	Robust Neighborhood Covering Reduction with Determinantal Point Process sampling. Knowl. Based Syst. Xiaodong Yue, Xiao Xiao, Yufei Chen, Jin Qian
2020	J	`jnl`	Sequential three-way decisions via multi-granularity. Inf. Sci. Jin Qian, Caihui Liu, Duoqian Miao, Xiaodong Yue
2020	J	`jnl`	Shadowed Neighborhoods Based on Fuzzy Rough Transformation for Three-Way Classification. IEEE Trans. Fuzzy Syst. Xiaodong Yue, Jie Zhou, Yiyu Yao, Duoqian Miao
2019	—	`conf`	Clustering Ensemble Selection with Determinantal Point Processes. ICONIP (3) Wei Liu, Xiaodong Yue, Caiming Zhong, Jie Zhou
2019	J	`jnl`	Constrained shadowed sets and fast optimization algorithm. Int. J. Intell. Syst. Jie Zhou, Can Gao, Witold Pedrycz, Zhihui Lai, Xiaodong Yue
2019	J	`jnl`	Constrained three-way approximations of fuzzy sets: From the perspective of minimal distance. Inf. Sci. Jie Zhou, Duoqian Miao, Can Gao, Zhihui Lai, Xiaodong Yue
2019	—	`conf`	Deep Interactive Segmentation of Uncertain Regions with Shadowed Sets. ISICDM Haiyan Zheng, Yufei Chen, Xiaodong Yue, Chao Ma
2019	J	`jnl`	基于多特定类的序决策表下近似约简 (Multi-class-specific Attribute Reduction of Lower Approximation in Ordered Decision Tables). 计算机科学 Tianyou Yu, Nan Zhang, Xiaodong Yue, Xiangrong Tong, Heqing Kong
2018	B	`conf`	Feature Selection Ensemble for Symbolic Data Classification with AHP. ICPR Meiqian Wang, Xiaodong Yue, Can Gao, Yufei Chen
2018	J	`jnl`	Rough possibilistic C-means clustering based on multigranulation approximation regions and shadowed sets. Knowl. Based Syst. Jie Zhou, Zhihui Lai, Can Gao, Duoqian Miao, Xiaodong Yue
2018	J	`jnl`	Rough-Fuzzy Clustering Based on Two-Stage Three-Way Approximations. IEEE Access Jie Zhou, Zhihui Lai, Can Gao, Xiaodong Yue, Wai Keung Wong
2017	J	`jnl`	Attribute reduction for sequential three-way decisions under dynamic granulation. Int. J. Approx. Reason. Jin Qian, Chuangyin Dang, Xiaodong Yue, Nan Zhang
2017	—	`conf`	Efficient Neighborhood Covering Reduction with Submodular Function Optimization. ICONIP (1) Qiang Chen, Xiaodong Yue, Jie Zhou, Yufei Chen
2017	B	`conf`	Ensemble of active contour based image segmentation. ICIP Wei Xu, Xiaodong Yue, Yufei Chen, Marek Z. Reformat
2017	J	`jnl`	Region scalable active contour model with global constraint. Knowl. Based Syst. Yufei Chen, Xiaodong Yue, Richard Yi Da Xu, Hamido Fujita
2017	J	`jnl`	Supervised Sparsity Preserving Projections for Face Recognition. Comput. Informatics Yingchun Ren, Yufei Chen, Xiaodong Yue
2017	J	`jnl`	Three-way decision support for diagnosis on focal liver lesions. Knowl. Based Syst. Yufei Chen, Xiaodong Yue, Hamido Fujita, Siyuan Fu
2017	J	`jnl`	Tri-partition neighborhood covering reduction for robust classification. Int. J. Approx. Reason. Xiaodong Yue, Yufei Chen, Duoqian Miao, Jin Qian
2016	B	`conf`	Rough Neighborhood Covering Reduction for robust classification. ICPR Wei Huang, Xiaodong Yue, Caiming Zhong, Nan Zhang
2015	—	`conf`	Multi-View Actionable Patterns for Managing Traffic Bottleneck. AAAI Workshop: AI for Transportation Xiaodong Yue, Longbing Cao, Yufei Chen, Bin Xu
2015	J	`jnl`	Multi-view attribute reduction model for traffic bottleneck analysis. Knowl. Based Syst. Xiaodong Yue, Longbing Cao, Duoqian Miao, Yufei Chen, B. Xu
2015	J	`jnl`	Neighborhood-user profiling based on perception relationship in the micro-blog scenario. J. Web Semant. Jianxing Zheng, Bofeng Zhang, Xiaodong Yue, Guobing Zou, Jianhua Ma, Keyuan Jiang
2014	J	`jnl`	An efficient color quantization based on generic roughness measure. Pattern Recognit. Xiaodong Yue, Duoqian Miao, Longbing Cao, Qiang Wu, Yufei Chen
2014	—	`conf`	Co-training Based Attribute Reduction for Partially Labeled Data. RSKT Wei Zhang, Duoqian Miao, Can Gao, Xiaodong Yue
2014	B	`conf`	Diversification recommendation of popular articles in micro-blog scenario. DSAA Jianxing Zheng, Bofeng Zhang, Guobing Zou, Xiaodong Yue
2014	—	`conf`	Knowledge Granulation in Interval-Valued Information Systems Based on Maximal Consistent Blocks. RSKT Nan Zhang, Xiaodong Yue
2014	J	`jnl`	Parallel attribute reduction algorithms using MapReduce. Inf. Sci. Jin Qian, Duoqian Miao, Zehua Zhang, Xiaodong Yue
2013	Misc	`conf`	Scale selection in roughness based color quantization. GrC Xiaodong Yue, Duoqian Miao, Yue Wu, Caiming Zhong, Yufei Chen
2012	J	`jnl`	Multiscale roughness measure for color image segmentation. Inf. Sci. Xiaodong Yue, Duoqian Miao, N. Zhang, L. B. Cao, Qiang Wu
2011	—	`conf`	Roughness Approach to Color Image Segmentation through Smoothing Local Difference. RSKT Xiaodong Yue, Duoqian Miao, Yufei Chen, Hongzhong Chen
2009	—	`conf`	Knowledge reduction in interval-valued information systems. IEEE ICCI Duoqian Miao, Nan Zhang, Xiaodong Yue
2009	J	`jnl`	Rough Geometry and Its Applications in Character Recognition. Trans. Rough Sets Xiaodong Yue, Duoqian Miao