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ORCIDXiaodong Yue 0002
Person information
- affiliation: Shanghai University, Shanghai, China
Other persons with the same name
- Xiaodong Yue — disambiguation page
- Xiaodong Yue 0001
![[0000-0003-3880-5018]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-3880-5018")
— University of Tokyo, Tokyo, Japan
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2020 – today
- 2026
[j45]Wei Fu, Yufei Chen, Yuqi Liu, Xiaodong Yue:
D-EDL: Differential evidential deep learning for robust medical out-of-distribution detection. Medical Image Anal. 109: 103888 (2026)- [j44]Ruixin Feng, Caiming Zhong, Jiangbo Qian, Tiejun Pan, Xiaodong Yue:
A fair spectral clustering with weighted fairness constraints. Pattern Recognit. 173: 112821 (2026) - [j43]Shichen Sun, Yufei Chen, Xiaodong Yue, Chao Ma, Xiahai Zhuang:
REDNet: Reliable Evidential Discounting Network for Multi-Modality Medical Image Segmentation. IEEE Trans. Medical Imaging 45(1): 16-27 (2026) - 2025
- [j42]Mengyao Liao, Zhiyu Chen, Can Gao, Jie Zhou, Xiaodong Yue:
Fusing fuzzy rough sets and mean shift for anomaly detection. Int. J. Approx. Reason. 187: 109530 (2025) - [j41]Xiaodong Yue, Zhicheng Dong, Yufei Chen, Shaorong Xie:
Evidential dissonance measure in robust multi-view classification to resist adversarial attack. Inf. Fusion 113: 102605 (2025) - [c54]Wei Liu, Yufei Chen, Xiaodong Yue:
Enhancing Multi-View Classification Reliability with Adaptive Rejection. AAAI 2025: 18969-18977 - [c53]Fengyang Mao, Xiaodong Yue, Yufei Chen, Jiaqing Ma, Zheran Zhang, Jie Shi:
Leveraging Intra-Modal Consistency for Cross-Modal Alignment and Retrieval. CIKM 2025: 5026-5030 - [c52]Ao Yang, Xiaodong Yue, Yufei Chen:
Measuring Uncertainty in Medical Image Diagnosis via Conformal Focal Loss. CIKM 2025: 5401-5405 - [c51]Wei Liu, Yufei Chen, Xiaodong Yue:
Enhancing Testing-Time Robustness for Trusted Multi-View Classification in the Wild. CVPR 2025: 15508-15517 - [c50]Panpan Fan, Xiaodong Yue, Yufei Chen, Zhipeng Wei, Jie Shi, Zhikang Xu:
ECG Report Generation with Diagnostic Knowledge Enhanced Prompt Learning. CLIP@MICCAI 2025: 11-20 - [c49]Zheran Zhang, Xiaodong Yue, Maoyu Wang, Zhikang Xu, Yufei Chen, Zhipeng Wei:
Integrate Semantic Radiomics as Prior Evidence Into Evidential Deep Learning for Pelvic Lipomatosis Diagnosis. MICCAI (15) 2025: 270-279 - [c48]Zhicheng Dong, Xiaodong Yue, Yufei Chen, Yuxian Zhou:
Trusted Open-World Multi-View Classification with Dynamic Opinion Aggregation. ACM Multimedia 2025: 1181-1189 - [c47]Shijie Ding, Xiaodong Yue, Yufei Chen, Jie Shi, Dongqi Xia:
Breaking Distributional Assumptions in Multi-view Learning: Test-Time Adaptive Fusion via Conformalized Evidence Representation. MMAsia 2025: 150:1-150:5 - [c46]Dongqi Xia, Xiaodong Yue, Yufei Chen, Jie Shi, Shijie Ding:
Dual-View Gradient Probes: Disentangling Uncertainty for Deep Active Learning. MMAsia 2025: 151:1-151:5 - [c45]Xujing Zhou, Xiaodong Yue, Yufei Chen, Linye Li:
Refining Confusion and Ignorance in Trusted Multi-View Classification. WWW (Companion Volume) 2025: 1549-1553 - 2024
- [j40]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): 3295-3307 (2024) - [j39]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: 111117 (2024) - [j38]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: 112010 (2024) - [j37]Ying Lv, Bofeng Zhang, Xiaodong Yue, Thierry Denoeux, Shan Yue:
Selecting reliable instances based on evidence theory for transfer learning. Expert Syst. Appl. 250: 123739 (2024) - [j36]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: 103189 (2024) - [j35]Qian Wu, Yufei Chen, Wei Liu, Xiaodong Yue, Xiahai Zhuang:
Deep Closing: Enhancing Topological Connectivity in Medical Tubular Segmentation. IEEE Trans. Medical Imaging 43(11): 3990-4003 (2024) - [j34]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): 10776-10790 (2024) - [c44]Shichen Sun, Yufei Chen, Yuqi Liu, Xiaodong Yue:
Evidence Harmonization Network for Tumor Segmentation with Missing Modalities. BIBM 2024: 2454-2459 - [c43]Qiguang Huang, Yufei Chen, Yuqi Liu, Xiaodong Yue, Chao Ma:
Trusted Multi-view Pancreatic Tumor Subtypes Diagnosis through Augmented Opinion. BIBM 2024: 3319-3322 - [c42]Yuxian Zhou, Xiaodong Yue, Yufei Chen, Shaorong Xie:
Deep Evidential Active Learning with Uncertainty-Aware Determinantal Point Process. ICPR (1) 2024: 17-32 - [c41]Zhicheng Dong, Xiaodong Yue, Yufei Chen, Xujing Zhou, Jiye Liang:
Uncertainty-Aware Multi-view Learning for Prostate Cancer Grading with DWI. MICCAI (10) 2024: 739-748 - [c40]Wei Liu, Yufei Chen, Xiaodong Yue:
Building Trust in Decision with Conformalized Multi-view Deep Classification. ACM Multimedia 2024: 7278-7287 - [c39]Jingen Qu, Yufei Chen, Xiaodong Yue, Wei Fu, Qiguang Huang:
Hyper-opinion Evidential Deep Learning for Out-of-Distribution Detection. NeurIPS 2024 - [c38]Xiaolong Pang, Zhipeng Wei, Jie Shi, Xiaodong Yue:
ConformalRefiner: Retinal Vessel Topology Reconstruction via Conformal Risk Control. IJCRS (3) 2024: 184-198 - [c37]Zhaoyi Li, Zihao Li, Xiaodong Yue:
Cross-Weighting Knowledge Distillation for Object Detection. IJCRS (1) 2024: 285-299 - 2023
- [j33]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): 520 (2023) - [j32]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): 5060-5075 (2023) - [c36]Wei Liu, Yufei Chen, Xiaodong Yue, Changqing Zhang, Shaorong Xie:
Safe Multi-View Deep Classification. AAAI 2023: 8870-8878 - [c35]Zhikang Xu, Xiaodong Yue, Ying Lv, Wei Liu, Zihao Li:
Trusted Fine-Grained Image Classification through Hierarchical Evidence Fusion. AAAI 2023: 10657-10665 - [c34]Xiaoyu Yang, Yufei Chen, Xiaodong Yue, Shaoxun Xu, Chao Ma:
T-distributed Spherical Feature Representation for Imbalanced Classification. AAAI 2023: 10825-10833 - [c33]Yudi Dong, Xiaodong Yue, Zhikang Xu, Shaorong Xie:
Correlation and Foreground Attention to Improve Object Detection. ICIP 2023: 3150-3154 - [c32]Linye Li, Xiaodong Yue, Zhikang Xu, Shaorong Xie:
Multi-Dimensional Pruned Sparse Convolution for Efficient 3D Object Detection. ICIP 2023: 3190-3194 - [c31]Jinxin Zhan, Xiaodong Yue, Zihao Li, Kai Han:
Accelerating Deep Reinforcement Learning with Fuzzy Logic Rules. IEA/AIE (2) 2023: 261-272 - [c30]Kai Han, Xiaodong Yue, Wei Liu, Jinxin Zhan:
Deep Determinantal Q-Learning with Role Aware. IEA/AIE (2) 2023: 286-297 - [c29]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: 305-315 - 2022
- [j31]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): 8746-8756 (2022) - [j30]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: 109818 (2022) - [j29]Xiaodong Yue, Yufei Chen, Bin Yuan, Ying Lv:
Three-Way Image Classification with Evidential Deep Convolutional Neural Networks. Cogn. Comput. 14(6): 2074-2086 (2022) - [j28]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): 966 (2022) - [j27]Shaoxun Xu, Yufei Chen, Chao Ma, Xiaodong Yue:
Deep evidential fusion network for medical image classification. Int. J. Approx. Reason. 150: 188-198 (2022) - [j26]Can Gao, Jie Zhou, Jinming Xing, Xiaodong Yue:
Parameterized maximum-entropy-based three-way approximate attribute reduction. Int. J. Approx. Reason. 151: 85-100 (2022) - [j25]Xiaodong Yue, S. W. Liu, Q. Qian, Duoqian Miao, Can Gao:
Semi-supervised shadowed sets for three-way classification on partial labeled data. Inf. Sci. 607: 1372-1390 (2022) - [c28]Wei Liu, Xiaodong Yue, Yufei Chen, Thierry Denoeux:
Trusted Multi-View Deep Learning with Opinion Aggregation. AAAI 2022: 7585-7593 - [c27]Ying Lv, Xiaodong Yue, Zhikang Xu, Yufei Chen, Zihao Li:
Selecting Reliable Instances from ImageNet for Medical Image Domain Adaptation. BIBM 2022: 503-508 - [c26]Haijie Fu, Xiaodong Yue, Wei Liu, Thierry Denoeux:
Stable Clustering Ensemble Based on Evidence Theory. ICIP 2022: 2046-2050 - [c25]Yuan Zhou, Xiaodong Yue, Yufei Chen, Chao Ma, Ke Jiang:
Convolutional Redistribution Network for Multi-view Medical Image Diagnosis. CLIP@MICCAI 2022: 54-61 - [c24]Xiao Huang, Xiaodong Yue, Zhikang Xu, Yufei Chen:
Harnessing Deep Bladder Tumor Segmentation with Logical Clinical Knowledge. MICCAI (4) 2022: 725-735 - [c23]Qian Wu, Yufei Chen, Ning Huang, Xiaodong Yue:
Weakly-supervised Cerebrovascular Segmentation Network with Shape Prior and Model Indicator. ICMR 2022: 668-676 - [c22]Qi Hang, Zihao Li, Yudi Dong, Xiaodong Yue:
Uncertainty-Aware Deep Open-Set Object Detection. IJCRS 2022: 161-175 - [c21]Shuai Zhang, Wei Liu, Haijie Fu, Xiaodong Yue:
Video Object Detection with MeanShift Tracking. IJCRS 2022: 224-237 - [e1]JingTao Yao, Hamido Fujita, Xiaodong Yue, Duoqian Miao, Jerzy W. Grzymala-Busse, Fanzhang Li:
Rough Sets - International Joint Conference, IJCRS 2022, Suzhou, China, November 11-14, 2022, Proceedings. Lecture Notes in Computer Science 13633, Springer 2022, ISBN 978-3-031-21243-7 [contents] - 2021
- [j24]Xiaodong Yue, Cheng Zhang, Hamido Fujita, Ying Lv:
Clothing fashion style recognition with design issue graph. Appl. Intell. 51(6): 3548-3560 (2021) - [j23]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: 74-98 (2021) - [j22]Can Gao, Jie Zhou, Duoqian Miao, Jiajun Wen, Xiaodong Yue:
Three-way decision with co-training for partially labeled data. Inf. Sci. 544: 500-518 (2021) - [j21]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: 111-128 (2021) - [j20]Jie Zhou, Witold Pedrycz, Xiaodong Yue, Can Gao, Zhihui Lai, Jun Wan:
Projected fuzzy C-means clustering with locality preservation. Pattern Recognit. 113: 107748 (2021) - [c20]Ying Lv, Bofeng Zhang, Xiaodong Yue, Zhikang Xu, Wei Liu:
Ensemble of Adapters for Transfer Learning Based on Evidence Theory. BELIEF 2021: 66-75 - [c19]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: 177-184 - [c18]Shaoxun Xu, Yufei Chen, Chao Ma, Xiaodong Yue:
Deep Evidential Fusion Network for Image Classification. BELIEF 2021: 185-193 - [c17]Xiaoqian Zhou, Xiaodong Yue, Zhikang Xu, Thierry Denoeux, Yufei Chen:
Deep Neural Networks with Prior Evidence for Bladder Cancer Staging. BIBM 2021: 1221-1226 - [c16]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: 1611-1614 - [c15]Xiao Huang, Xiaodong Yue, Zhikang Xu, Yufei Chen:
Integrating General and Specific Priors into Deep Convolutional Neural Networks for Bladder Tumor Segmentation. IJCNN 2021: 1-8 - [i1]Can Gao, Jie Zhou, Duoqian Miao, Xiaodong Yue, Jun Wan:
Granular conditional entropy-based attribute reduction for partially labeled data with proxy labels. CoRR abs/2101.09495 (2021) - 2020
- [j19]Jie Zhou, Zhihui Lai, Duoqian Miao, Can Gao, Xiaodong Yue:
Multigranulation rough-fuzzy clustering based on shadowed sets. Inf. Sci. 507: 553-573 (2020) - [j18]Jin Qian, Caihui Liu, Duoqian Miao, Xiaodong Yue:
Sequential three-way decisions via multi-granularity. Inf. Sci. 507: 606-629 (2020) - [j17]Xiaodong Yue, Yu-Fei Chen, Duoqian Miao, Hamido Fujita:
Fuzzy neighborhood covering for three-way classification. Inf. Sci. 507: 795-808 (2020) - [j16]Xiaodong Yue, Xiao Xiao, Yufei Chen, Jin Qian:
Robust Neighborhood Covering Reduction with Determinantal Point Process sampling. Knowl. Based Syst. 188 (2020) - [j15]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): 978-991 (2020) - [c14]Cheng Zhang, Xiaodong Yue, Yufei Chen, Ying Lv:
Integrating Diagnosis Rules into Deep Neural Networks for Bladder Cancer Staging. CIKM 2020: 2301-2304 - [c13]Wei Liu, Xiaodong Yue, Caiming Zhong, Jie Zhou:
Clustering Ensemble Selection with Analytic Hierarchy Process. ICONIP (4) 2020: 41-49 - [c12]Bin Yuan, Xiaodong Yue, Ying Lv, Thierry Denoeux:
Evidential Deep Neural Networks for Uncertain Data Classification. KSEM (2) 2020: 427-437
2010 – 2019
- 2019
- [j14]Jie Zhou, Can Gao, Witold Pedrycz, Zhihui Lai, Xiaodong Yue:
Constrained shadowed sets and fast optimization algorithm. Int. J. Intell. Syst. 34(10): 2655-2675 (2019) - [j13]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: 247-267 (2019) - [c11]Wei Liu, Xiaodong Yue, Caiming Zhong, Jie Zhou:
Clustering Ensemble Selection with Determinantal Point Processes. ICONIP (3) 2019: 621-633 - [c10]Haiyan Zheng, Yufei Chen, Xiaodong Yue, Chao Ma:
Deep Interactive Segmentation of Uncertain Regions with Shadowed Sets. ISICDM 2019: 244-248 - 2018
- [j12]Jie Zhou, Zhihui Lai, Can Gao, Xiaodong Yue, Wai Keung Wong:
Rough-Fuzzy Clustering Based on Two-Stage Three-Way Approximations. IEEE Access 6: 27541-27554 (2018) - [j11]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: 144-166 (2018) - [c9]Meiqian Wang, Xiaodong Yue, Can Gao, Yufei Chen:
Feature Selection Ensemble for Symbolic Data Classification with AHP. ICPR 2018: 868-873 - 2017
- [j10]Yingchun Ren, Yufei Chen, Xiaodong Yue:
Supervised Sparsity Preserving Projections for Face Recognition. Comput. Informatics 36(4): 815-836 (2017) - [j9]Xiaodong Yue, Yufei Chen, Duoqian Miao, Jin Qian:
Tri-partition neighborhood covering reduction for robust classification. Int. J. Approx. Reason. 83: 371-384 (2017) - [j8]Yufei Chen, Xiaodong Yue, Richard Yi Da Xu, Hamido Fujita:
Region scalable active contour model with global constraint. Knowl. Based Syst. 120: 57-73 (2017) - [j7]Yufei Chen, Xiaodong Yue, Hamido Fujita, Siyuan Fu:
Three-way decision support for diagnosis on focal liver lesions. Knowl. Based Syst. 127: 85-99 (2017) - [c8]Wei Xu, Xiaodong Yue, Yufei Chen, Marek Z. Reformat:
Ensemble of active contour based image segmentation. ICIP 2017: 86-90 - [c7]Qiang Chen, Xiaodong Yue, Jie Zhou, Yufei Chen:
Efficient Neighborhood Covering Reduction with Submodular Function Optimization. ICONIP (1) 2017: 505-514 - 2015
- [j6]Xiaodong Yue, Longbing Cao, Duoqian Miao, Yufei Chen, B. Xu:
Multi-view attribute reduction model for traffic bottleneck analysis. Knowl. Based Syst. 86: 1-10 (2015) - [j5]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: 13-26 (2015) - [c6]Xiaodong Yue, Longbing Cao, Yufei Chen, Bin Xu:
Multi-View Actionable Patterns for Managing Traffic Bottleneck. AAAI Workshop: AI for Transportation 2015 - 2014
- [j4]Jin Qian, Duoqian Miao, Zehua Zhang, Xiaodong Yue:
Parallel attribute reduction algorithms using MapReduce. Inf. Sci. 279: 671-690 (2014) - [j3]Xiaodong Yue, Duoqian Miao, Longbing Cao, Qiang Wu, Yufei Chen:
An efficient color quantization based on generic roughness measure. Pattern Recognit. 47(4): 1777-1789 (2014) - [c5]Jianxing Zheng, Bofeng Zhang, Guobing Zou, Xiaodong Yue:
Diversification recommendation of popular articles in micro-blog scenario. DSAA 2014: 456-462 - [c4]Wei Zhang, Duoqian Miao, Can Gao, Xiaodong Yue:
Co-training Based Attribute Reduction for Partially Labeled Data. RSKT 2014: 77-88 - 2013
- [c3]Xiaodong Yue, Duoqian Miao, Yue Wu, Caiming Zhong, Yufei Chen:
Scale selection in roughness based color quantization. GrC 2013: 412-417 - 2012
- [j2]Xiaodong Yue, Duoqian Miao, N. Zhang, L. B. Cao, Qiang Wu:
Multiscale roughness measure for color image segmentation. Inf. Sci. 216: 93-112 (2012) - 2011
- [c2]Xiaodong Yue, Duoqian Miao, Yufei Chen, Hongzhong Chen:
Roughness Approach to Color Image Segmentation through Smoothing Local Difference. RSKT 2011: 434-439
2000 – 2009
- 2009
- [j1]Xiaodong Yue, Duoqian Miao:
Rough Geometry and Its Applications in Character Recognition. Trans. Rough Sets 10: 136-156 (2009) - [c1]Duoqian Miao, Nan Zhang, Xiaodong Yue:
Knowledge reduction in interval-valued information systems. IEEE ICCI 2009: 320-327
Coauthor Index
[j45] [j43] [j41] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [j40] [j36] [j35] [c44] [c43] [c42] [c41] [c40] [c39] [c36] [c34] [c29] [j31] [j30] [j29] [j27] [c28] [c27] [c25] [c24] [c23] [c18] [c17] [c16] [c15] [j17] [j16] [c14] [c10] [c9] [j10] [j9] [j8] [j7] [c8] [c7] [j6] [c6] [j3] [c3] [c2]
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