Xiaodong Yue

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 86

Top Venues

Inf. Sci.

Int. J. Approx. Reason.

Knowl. Based Syst.

ICIP

Publications

Jie Zhou, Can Gao, Xizhao Wang, Zhihui Lai, Jun Wan, Xiaodong Yue
Typicality-Aware Adaptive Similarity Matrix for Unsupervised Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Can Gao, Zhicheng Wang, Jie Zhou, Hang Zeng, Xiaodong Yue
Analysis of core attribute and approximate reduct based on the three-way decision. Appl. Soft Comput. 150 (2024)
Xiaodong Yue, Xiao Huang, Zhikang Xu, Yufei Chen, Chuanliang Xu
Involving logical clinical knowledge into deep neural networks to improve bladder tumor segmentation. Medical Image Anal. 95 (2024)
Ying Lv, Bofeng Zhang, Xiaodong Yue, Thierry Denoeux, Shan Yue
Selecting reliable instances based on evidence theory for transfer learning. Expert Syst. Appl. 250 (2024)
Zhaoyi Li, Zihao Li, Xiaodong Yue
Cross-Weighting Knowledge Distillation for Object Detection. IJCRS (1) (2024)
Yufei Chen, Xiaoyu Yang, Xiaodong Yue, Xiang Lin, Qi Zhang, Hamido Fujita
A general variation-driven network for medical image synthesis. Appl. Intell. 54 (4) (2024)
Linchao Pan, Can Gao, Jie Zhou, Gong Chen, Xiaodong Yue
Three-way decision-based Takagi-Sugeno-Kang fuzzy classifier for partially labeled data. Appl. Soft Comput. 164 (2024)
Kai Han, Xiaodong Yue, Wei Liu, Jinxin Zhan
Deep Determinantal Q-Learning with Role Aware. IEA/AIE (2) (2023)
Zhikang Xu, Xiaodong Yue, Ying Lv, Wei Liu, Zihao Li
Trusted Fine-Grained Image Classification through Hierarchical Evidence Fusion. AAAI (2023)
Linye Li, Xiaodong Yue, Zhikang Xu, Shaorong Xie
Multi-Dimensional Pruned Sparse Convolution for Efficient 3D Object Detection. ICIP (2023)
Jinxin Zhan, Xiaodong Yue, Zihao Li, Kai Han
Accelerating Deep Reinforcement Learning with Fuzzy Logic Rules. IEA/AIE (2) (2023)
Wei Liu, Yufei Chen, Xiaodong Yue, Changqing Zhang, Shaorong Xie
Safe Multi-View Deep Classification. AAAI (2023)
Weiping Ding, Javier Andréu Pérez, Yiu-ming Cheung, Swagatam Das, Xiaodong Yue, Dariusz Mrozek
Special issue on fuzzy systems for biomedical science in healthcare. Appl. Soft Comput. 132 (2023)
Zhikang Xu, Xiaodong Yue, Bofeng Zhang, Ying Lv, Zhipeng Wei
Trusted Fine-grained Medical Image Classification through Multiple Evidence Fusion. BIBM (2023)
Xiaoyu Yang, Yufei Chen, Xiaodong Yue, Shaoxun Xu, Chao Ma
T-distributed Spherical Feature Representation for Imbalanced Classification. AAAI (2023)
Yudi Dong, Xiaodong Yue, Zhikang Xu, Shaorong Xie
Correlation and Foreground Attention to Improve Object Detection. ICIP (2023)
Zhunga Liu, Frédéric Pichon, Xiaodong Yue
Special issue from the 6th International Conference on Belief Functions (BELIEF 2021). Int. J. Approx. Reason. 152 (2023)
Linhua Zhang, Ning Xiong, Xinghao Pan, Xiaodong Yue, Peng Wu, Caiping Guo
Improved Object Detection Method Utilizing YOLOv7-Tiny for Unmanned Aerial Vehicle Photographic Imagery. Algorithms 16 (11) (2023)
Wei Fu, Yufei Chen, Wei Liu, Xiaodong Yue, Chao Ma
Evidence Reconciled Neural Network for Out-of-Distribution Detection in Medical Images. MICCAI (3) (2023)
Jie Zhou, Witold Pedrycz, Jun Wan, Can Gao, Zhihui Lai, Xiaodong Yue
Low-Rank Linear Embedding for Robust Clustering. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Ying Lv, Xiaodong Yue, Zhikang Xu, Yufei Chen, Zihao Li
Selecting Reliable Instances from ImageNet for Medical Image Domain Adaptation. BIBM (2022)
Ying Lv, Bofeng Zhang, Guobing Zou, Xiaodong Yue, Zhikang Xu, Haiyan Li
Domain Adaptation with Data Uncertainty Measure Based on Evidence Theory. Entropy 24 (7) (2022)
Yachao Rong, Ning-Xuan Chen, Jiarui Dong, Qi Li, Xiaodong Yue, Li Hu, Ping Wei
Expectations of immediate and delayed reward differentially affect cognitive task performance. NeuroImage 262 (2022)
Zhikang Xu, Bofeng Zhang, Deyu Li, Xiaodong Yue
Hierarchical multilabel classification by exploiting label correlations. Int. J. Mach. Learn. Cybern. 13 (1) (2022)
Xiaoyu Yang, Yufei Chen, Xiaodong Yue, Chao Ma, Panpan Yang
Local linear embedding based interpolation neural network in pancreatic tumor segmentation. Appl. Intell. 52 (8) (2022)
Shuai Zhang, Wei Liu, Haijie Fu, Xiaodong Yue
Video Object Detection with MeanShift Tracking. IJCRS (2022)
Yuan Zhou, Xiaodong Yue, Yufei Chen, Chao Ma, Ke Jiang
Convolutional Redistribution Network for Multi-view Medical Image Diagnosis. CLIP@MICCAI (2022)
Xiaodong Yue, Yufei Chen, Bin Yuan, Ying Lv
Three-Way Image Classification with Evidential Deep Convolutional Neural Networks. Cogn. Comput. 14 (6) (2022)
Haijie Fu, Xiaodong Yue, Wei Liu, Thierry Denoeux
Stable Clustering Ensemble Based on Evidence Theory. ICIP (2022)
Xiaodong Yue, S. W. Liu, Q. Qian, Duo-Qian Miao, Can Gao
Semi-supervised shadowed sets for three-way classification on partial labeled data. Inf. Sci. 607 (2022)
Shaoxun Xu, Yufei Chen, Chao Ma, Xiaodong Yue
Deep evidential fusion network for medical image classification. Int. J. Approx. Reason. 150 (2022)
Xiao Huang, Xiaodong Yue, Zhikang Xu, Yufei Chen
Harnessing Deep Bladder Tumor Segmentation with Logical Clinical Knowledge. MICCAI (4) (2022)
Wei Liu, Xiaodong Yue, Yufei Chen, Thierry Denoeux
Trusted Multi-View Deep Learning with Opinion Aggregation. AAAI (2022)
Can Gao, Jie Zhou, Jinming Xing, Xiaodong Yue
Parameterized maximum-entropy-based three-way approximate attribute reduction. Int. J. Approx. Reason. 151 (2022)
Yufei Chen, Chang Xu, Weiping Ding, Shichen Sun, Xiaodong Yue, Hamido Fujita
Target-aware U-Net with fuzzy skip connections for refined pancreas segmentation. Appl. Soft Comput. 131 (2022)
Xiaodong Yue, Madhushanka Rukshani Liyanaarachchi, Kenji Shimazoe, Kenichiro Ogane, Hiroyuki Takahashi, Miwako Takahashi, Kazuaki Hara, Etsuko Kobayashi, Ichiro Sakuma
Design of a Flat Panel Detector for the PET-Laparoscope System Using Simulations. J. Medical Robotics Res. 7 (1) (2022)
Qian Wu, Yufei Chen, Ning Huang, Xiaodong Yue
Weakly-supervised Cerebrovascular Segmentation Network with Shape Prior and Model Indicator. ICMR (2022)
Qi Hang, Zihao Li, Yudi Dong, Xiaodong Yue
Uncertainty-Aware Deep Open-Set Object Detection. IJCRS (2022)
Xiaodong Yue, Cheng Zhang, Hamido Fujita, Ying Lv
Clothing fashion style recognition with design issue graph. Appl. Intell. 51 (6) (2021)
Shaoxun Xu, Yufei Chen, Chao Ma, Xiaodong Yue
Deep Evidential Fusion Network for Image Classification. BELIEF (2021)
Can Gao, Jie Zhou, Duoqian Miao, Xiaodong Yue, Jun Wan
Granular conditional entropy-based attribute reduction for partially labeled data with proxy labels. CoRR (2021)
Zhikang Xu, Bofeng Zhang, Haijie Fu, Xiaodong Yue, Ying Lv
Multi-branch Recurrent Attention Convolutional Neural Network with Evidence Theory for Fine-Grained Image Classification. BELIEF (2021)
Xiaoqian Zhou, Xiaodong Yue, Zhikang Xu, Thierry Denoeux, Yufei Chen
Deep Neural Networks with Prior Evidence for Bladder Cancer Staging. BIBM (2021)
Can Gao, Jie Zhou, Duoqian Miao, Jiajun Wen, Xiaodong Yue
Three-way decision with co-training for partially labeled data. Inf. Sci. 544 (2021)
Jie Zhou, Witold Pedrycz, Can Gao, Zhihui Lai, Xiaodong Yue
Principles for constructing three-way approximations of fuzzy sets: A comparative evaluation based on unsupervised learning. Fuzzy Sets Syst. 413 (2021)
Xiaoyu Yang, Yufei Chen, Xiaodong Yue, Xiang Lin, Qi Zhang
Variational Synthesis Network for Generating Micro Computed Tomography from Cone Beam Computed Tomography. BIBM (2021)
Ying Lv, Bofeng Zhang, Xiaodong Yue, Zhikang Xu, Wei Liu
Ensemble of Adapters for Transfer Learning Based on Evidence Theory. BELIEF (2021)
Xiao Huang, Xiaodong Yue, Zhikang Xu, Yufei Chen
Integrating General and Specific Priors into Deep Convolutional Neural Networks for Bladder Tumor Segmentation. IJCNN (2021)
Jie Zhou, Witold Pedrycz, Xiaodong Yue, Can Gao, Zhihui Lai, Jun Wan
Projected fuzzy C-means clustering with locality preservation. Pattern Recognit. 113 (2021)
Can Gao, Jie Zhou, Duoqian Miao, Xiaodong Yue, Jun Wan
Granular-conditional-entropy-based attribute reduction for partially labeled data with proxy labels. Inf. Sci. 580 (2021)
Xiaodong Yue, Xiao Xiao, Yufei Chen, Jin Qian
Robust Neighborhood Covering Reduction with Determinantal Point Process sampling. Knowl. Based Syst. 188 (2020)
Wei Liu, Xiaodong Yue, Caiming Zhong, Jie Zhou
Clustering Ensemble Selection with Analytic Hierarchy Process. ICONIP (4) (2020)
Bin Yuan, Xiaodong Yue, Ying Lv, Thierry Denoeux
Evidential Deep Neural Networks for Uncertain Data Classification. KSEM (2) (2020)
Cheng Zhang, Xiaodong Yue, Yufei Chen, Ying Lv
Integrating Diagnosis Rules into Deep Neural Networks for Bladder Cancer Staging. CIKM (2020)
Xiaodong Yue, Jie Zhou, Yiyu Yao, Duoqian Miao
Shadowed Neighborhoods Based on Fuzzy Rough Transformation for Three-Way Classification. IEEE Trans. Fuzzy Syst. 28 (5) (2020)
Jin Qian, Caihui Liu, Duoqian Miao, Xiaodong Yue
Sequential three-way decisions via multi-granularity. Inf. Sci. 507 (2020)
Jie Zhou, Zhihui Lai, Duoqian Miao, Can Gao, Xiaodong Yue
Multigranulation rough-fuzzy clustering based on shadowed sets. Inf. Sci. 507 (2020)
Xuxia Zhang, Xiaodong Yue, Zhikang Xu
Efficient Attribute Reduction with Submodular Function Optimization. ICDM Workshops (2019)
Jie Zhou, Can Gao, Witold Pedrycz, Zhihui Lai, Xiaodong Yue
Constrained shadowed sets and fast optimization algorithm. Int. J. Intell. Syst. 34 (10) (2019)
Jie Zhou, Duoqian Miao, Can Gao, Zhihui Lai, Xiaodong Yue
Constrained three-way approximations of fuzzy sets: From the perspective of minimal distance. Inf. Sci. 502 (2019)
Jin Qian, Caihui Liu, Xiaodong Yue
Multigranulation sequential three-way decisions based on multiple thresholds. Int. J. Approx. Reason. 105 (2019)
Tianyou Yu, Nan Zhang, Xiaodong Yue, Xiangrong Tong, Heqing Kong
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 46 (10) (2019)
Wei Liu, Xiaodong Yue, Caiming Zhong, Jie Zhou
Clustering Ensemble Selection with Determinantal Point Processes. ICONIP (3) (2019)
Haiyan Zheng, Yufei Chen, Xiaodong Yue, Chao Ma
Deep Interactive Segmentation of Uncertain Regions with Shadowed Sets. ISICDM (2019)
Caiming Zhong, Lianyu Hu, Xiaodong Yue, Ting Luo, Qiang Fu, Haiyong Xu
Ensemble clustering based on evidence extracted from the co-association matrix. Pattern Recognit. 92 (2019)
Meiqian Wang, Xiaodong Yue, Can Gao, Yufei Chen
Feature Selection Ensemble for Symbolic Data Classification with AHP. ICPR (2018)
Jie Zhou, Zhihui Lai, Can Gao, Xiaodong Yue, Wai Keung Wong
Rough-Fuzzy Clustering Based on Two-Stage Three-Way Approximations. IEEE Access 6 (2018)
Jie Zhou, Zhihui Lai, Can Gao, Duoqian Miao, Xiaodong Yue
Rough possibilistic C-means clustering based on multigranulation approximation regions and shadowed sets. Knowl. Based Syst. 160 (2018)
Jin Qian, Min Xia, Xiaodong Yue
Parallel knowledge acquisition algorithms for big data using MapReduce. Int. J. Mach. Learn. Cybern. 9 (6) (2018)
Caiming Zhong, Ting Luo, Xiaodong Yue
Cluster Ensemble Based on Iteratively Refined Co-Association Matrix. IEEE Access 6 (2018)
Yufei Chen, Xiaodong Yue, Hamido Fujita, Siyuan Fu
Three-way decision support for diagnosis on focal liver lesions. Knowl. Based Syst. 127 (2017)
Yufei Chen, Xiaodong Yue, Richard Yi Da Xu, Hamido Fujita
Region scalable active contour model with global constraint. Knowl. Based Syst. 120 (2017)
Yingchun Ren, Yufei Chen, Xiaodong Yue
Supervised Sparsity Preserving Projections for Face Recognition. Comput. Informatics 36 (4) (2017)
Xiaodong Yue, Yufei Chen, Duoqian Miao, Jin Qian
Tri-partition neighborhood covering reduction for robust classification. Int. J. Approx. Reason. 83 (2017)
Qiang Chen, Xiaodong Yue, Jie Zhou, Yufei Chen
Efficient Neighborhood Covering Reduction with Submodular Function Optimization. ICONIP (1) (2017)
Wei Xu, Xiaodong Yue, Yufei Chen, Marek Reformat
Ensemble of active contour based image segmentation. ICIP (2017)
Jin Qian, Chuangyin Dang, Xiaodong Yue, Nan Zhang
Attribute reduction for sequential three-way decisions under dynamic granulation. Int. J. Approx. Reason. 85 (2017)
Wei Huang, Xiaodong Yue, Caiming Zhong, Nan Zhang
Rough Neighborhood Covering Reduction for robust classification. ICPR (2016)
Ping Lv, Jin Qian, Xiaodong Yue
Incremental attribute reduction algorithm for big data using MapReduce. J. Comput. Methods Sci. Eng. 16 (3) (2016)
Jin Qian, Ping Lv, Xiaodong Yue, Caihui Liu, Zhengjun Jing
Hierarchical attribute reduction algorithms for big data using MapReduce. Knowl. Based Syst. 73 (2015)
Xiaodong Yue, Longbing Cao, Yufei Chen, Bin Xu
Multi-View Actionable Patterns for Managing Traffic Bottleneck. AAAI Workshop: AI for Transportation (2015)
Caiming Zhong, Xiaodong Yue, Jingsheng Lei
Visual hierarchical cluster structure: A refined co-association matrix based visual assessment of cluster tendency. Pattern Recognit. Lett. 59 (2015)
Caiming Zhong, Xiaodong Yue, Zehua Zhang, Jingsheng Lei
A clustering ensemble: Two-level-refined co-association matrix with path-based transformation. Pattern Recognit. 48 (8) (2015)
Jianxing Zheng, Bofeng Zhang, Xiaodong Yue, Guobing Zou, Jianhua Ma, Keyuan Jiang
Neighborhood-user profiling based on perception relationship in the micro-blog scenario. J. Web Semant. 34 (2015)
Xiaodong Yue, Longbing Cao, Duoqian Miao, Yufei Chen, B. Xu
Multi-view attribute reduction model for traffic bottleneck analysis. Knowl. Based Syst. 86 (2015)
Jorge David Destephen Lavaire, Anshuman Singh, Mahmoud Yousef, Sumi Singh, Xiaodong Yue
Dimensional scalability of supervised and unsupervised concept drift detection: An empirical study. IEEE BigData (2015)
Jin Qian, Duoqian Miao, Zehua Zhang, Xiaodong Yue
Parallel attribute reduction algorithms using MapReduce. Inf. Sci. 279 (2014)
Xiaodong Yue, Duoqian Miao, Longbing Cao, Qiang Wu, Yufei Chen
An efficient color quantization based on generic roughness measure. Pattern Recognit. 47 (4) (2014)
Wei Zhang, Duoqian Miao, Can Gao, Xiaodong Yue
Co-training Based Attribute Reduction for Partially Labeled Data. RSKT (2014)
Nan Zhang, Xiaodong Yue
Knowledge Granulation in Interval-Valued Information Systems Based on Maximal Consistent Blocks. RSKT (2014)
Jianxing Zheng, Bofeng Zhang, Guobing Zou, Xiaodong Yue
Diversification recommendation of popular articles in micro-blog scenario. DSAA (2014)
Jiaofei Zhong, Weili Wu, Xiaofeng Gao, Yan Shi, Xiaodong Yue
Evaluation and comparison of various indexing schemes in single-channel broadcast communication environment. Knowl. Inf. Syst. 40 (2) (2014)
Jin Qian, Ping Lv, Qingjun Guo, Xiaodong Yue
Attribute Reduction in Decision-Theoretic Rough Set Model Using MapReduce. RSKT (2014)
Xiaodong Yue, Duoqian Miao, Yue Wu, Caiming Zhong, Yufei Chen
Scale selection in roughness based color quantization. GrC (2013)
Baosheng Yin, Xiaodong Yue, Dongfeng Cai, Guiping Zhang
Analysis and Evaluation of Terminology Translation Consistency in Scientific and Technical Literature. IALP (2013)
Jiaofei Zhong, Zheng Gao, Weili Wu, Weidong Chen, Xiaofeng Gao, Xiaodong Yue
High performance energy efficient multi-channel wireless data broadcasting system. WCNC (2013)
Xiaodong Yue, Duoqian Miao, N. Zhang, L. B. Cao, Qiang Wu
Multiscale roughness measure for color image segmentation. Inf. Sci. 216 (2012)
Xiaodong Yue, Songlin Tian, Xuefu Zhou
A blind linear smoothing method for OFDM systems without cyclic prefix. ACSCC (2012)
Xiaodong Yue, Duoqian Miao, Yufei Chen, Hongzhong Chen
Roughness Approach to Color Image Segmentation through Smoothing Local Difference. RSKT (2011)
Xiaodong Yue, Xuefu Zhou
Blind channel estimation for CP-free OFDM communications systems. FSKD (2011)

Xiaodong Yue.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Xiaodong Yue