Knowledge reduction in interval-valued information systems. - Duoqian Miao 001; Nan Zhang 041; Xiaodong Yue 002 (IEEE ICCI, 2009)

Rough Geometry and Its Applications in Character Recognition. - Xiaodong Yue 002; Duoqian Miao 001 (Trans. Rough Sets, 2009)

Roughness Approach to Color Image Segmentation through Smoothing Local Difference. - Xiaodong Yue 002; Duoqian Miao 001; Yufei Chen 002; Hongzhong Chen (RSKT, 2011)

Multiscale roughness measure for color image segmentation. - Xiaodong Yue 002; Duoqian Miao 001; N. Zhang; L. B. Cao; Qiang Wu 001 (Inf. Sci., 2012)

Scale selection in roughness based color quantization. - Xiaodong Yue 002; Duoqian Miao 001; Yue Wu; Caiming Zhong; Yufei Chen 002 (GrC, 2013)

Diversification recommendation of popular articles in micro-blog scenario. - Jianxing Zheng; Bofeng Zhang; Guobing Zou; Xiaodong Yue 002 (DSAA, 2014)

Co-training Based Attribute Reduction for Partially Labeled Data. - Wei Zhang; Duoqian Miao 001; Can Gao; Xiaodong Yue 002 (RSKT, 2014)

Knowledge Granulation in Interval-Valued Information Systems Based on Maximal Consistent Blocks. - Nan Zhang 041; Xiaodong Yue 002 (RSKT, 2014)

Parallel attribute reduction algorithms using MapReduce. - Jin Qian; Duoqian Miao 001; Zehua Zhang; Xiaodong Yue 002 (Inf. Sci., 2014)

An efficient color quantization based on generic roughness measure. - Xiaodong Yue 002; Duoqian Miao 001; Longbing Cao; Qiang Wu 001; Yufei Chen 002 (Pattern Recognit., 2014)

Multi-View Actionable Patterns for Managing Traffic Bottleneck. - Xiaodong Yue 002; Longbing Cao; Yufei Chen 002; Bin Xu (AAAI Workshop: AI for Transportation, 2015)

Multi-view attribute reduction model for traffic bottleneck analysis. - Xiaodong Yue 002; Longbing Cao; Duoqian Miao 001; Yufei Chen 002; B. Xu (Knowl. Based Syst., 2015)

Neighborhood-user profiling based on perception relationship in the micro-blog scenario. - Jianxing Zheng; Bofeng Zhang; Xiaodong Yue 002; Guobing Zou; Jianhua Ma 002; Keyuan Jiang (J. Web Semant., 2015)

Rough Neighborhood Covering Reduction for robust classification. - Wei Huang; Xiaodong Yue 002; Caiming Zhong; Nan Zhang 041 (ICPR, 2016)

Ensemble of active contour based image segmentation. - Wei Xu; Xiaodong Yue 002; Yufei Chen 002; Marek Z. Reformat (ICIP, 2017)

Efficient Neighborhood Covering Reduction with Submodular Function Optimization. - Qiang Chen; Xiaodong Yue 002; Jie Zhou 009; Yufei Chen 002 (ICONIP (1), 2017)

Supervised Sparsity Preserving Projections for Face Recognition. - Yingchun Ren; Yufei Chen 002; Xiaodong Yue 002 (Comput. Informatics, 2017)

Attribute reduction for sequential three-way decisions under dynamic granulation. - Jin Qian; Chuangyin Dang; Xiaodong Yue 002; Nan Zhang 041 (Int. J. Approx. Reason., 2017)

Tri-partition neighborhood covering reduction for robust classification. - Xiaodong Yue 002; Yufei Chen 002; Duoqian Miao 001; Jin Qian (Int. J. Approx. Reason., 2017)

Three-way decision support for diagnosis on focal liver lesions. - Yufei Chen 002; Xiaodong Yue 002; Hamido Fujita; Siyuan Fu (Knowl. Based Syst., 2017)

Region scalable active contour model with global constraint. - Yufei Chen 002; Xiaodong Yue 002; Richard Yi Da Xu; Hamido Fujita (Knowl. Based Syst., 2017)

Feature Selection Ensemble for Symbolic Data Classification with AHP. - Meiqian Wang; Xiaodong Yue 002; Can Gao; Yufei Chen 002 (ICPR, 2018)

Rough-Fuzzy Clustering Based on Two-Stage Three-Way Approximations. - Jie Zhou 009; Zhihui Lai 001; Can Gao; Xiaodong Yue 002; Wai Keung Wong (IEEE Access, 2018)

Rough possibilistic C-means clustering based on multigranulation approximation regions and shadowed sets. - Jie Zhou 009; Zhihui Lai 001; Can Gao; Duoqian Miao 001; Xiaodong Yue 002 (Knowl. Based Syst., 2018)

Clustering Ensemble Selection with Determinantal Point Processes. - Wei Liu 027; Xiaodong Yue 002; Caiming Zhong; Jie Zhou 009 (ICONIP (3), 2019)

Deep Interactive Segmentation of Uncertain Regions with Shadowed Sets. - Haiyan Zheng; Yufei Chen 002; Xiaodong Yue 002; Chao Ma 027 (ISICDM, 2019)

Constrained shadowed sets and fast optimization algorithm. - Jie Zhou 009; Can Gao; Witold Pedrycz; Zhihui Lai 001; Xiaodong Yue 002 (Int. J. Intell. Syst., 2019)

Constrained three-way approximations of fuzzy sets: From the perspective of minimal distance. - Jie Zhou 009; Duoqian Miao 001; Can Gao; Zhihui Lai 001; Xiaodong Yue 002 (Inf. Sci., 2019)

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). - Tianyou Yu; Nan Zhang 041; Xiaodong Yue 002; Xiangrong Tong; Heqing Kong (计算机科学, 2019)

Integrating Diagnosis Rules into Deep Neural Networks for Bladder Cancer Staging. - Cheng Zhang; Xiaodong Yue 002; Yufei Chen 002; Ying Lv (CIKM, 2020)

Clustering Ensemble Selection with Analytic Hierarchy Process. - Wei Liu 027; Xiaodong Yue 002; Caiming Zhong; Jie Zhou 009 (ICONIP (4), 2020)

Evidential Deep Neural Networks for Uncertain Data Classification. - Bin Yuan; Xiaodong Yue 002; Ying Lv; Thierry Denoeux (KSEM (2), 2020)

Multigranulation rough-fuzzy clustering based on shadowed sets. - Jie Zhou 009; Zhihui Lai 001; Duoqian Miao 001; Can Gao; Xiaodong Yue 002 (Inf. Sci., 2020)

Sequential three-way decisions via multi-granularity. - Jin Qian; Caihui Liu; Duoqian Miao 001; Xiaodong Yue 002 (Inf. Sci., 2020)

Fuzzy neighborhood covering for three-way classification. - Xiaodong Yue 002; Yu-Fei Chen 002; Duoqian Miao 001; Hamido Fujita (Inf. Sci., 2020)

Robust Neighborhood Covering Reduction with Determinantal Point Process sampling. - Xiaodong Yue 002; Xiao Xiao; Yufei Chen 002; Jin Qian (Knowl. Based Syst., 2020)

Shadowed Neighborhoods Based on Fuzzy Rough Transformation for Three-Way Classification. - Xiaodong Yue 002; Jie Zhou 009; Yiyu Yao; Duoqian Miao 001 (IEEE Trans. Fuzzy Syst., 2020)

Ensemble of Adapters for Transfer Learning Based on Evidence Theory. - Ying Lv; Bofeng Zhang; Xiaodong Yue 002; Zhikang Xu; Wei Liu 303 (BELIEF, 2021)

Deep Evidential Fusion Network for Image Classification. - Shaoxun Xu; Yufei Chen 002; Chao Ma 027; Xiaodong Yue 002 (BELIEF, 2021)

Multi-branch Recurrent Attention Convolutional Neural Network with Evidence Theory for Fine-Grained Image Classification. - Zhikang Xu; Bofeng Zhang; Haijie Fu; Xiaodong Yue 002; Ying Lv (BELIEF, 2021)

Variational Synthesis Network for Generating Micro Computed Tomography from Cone Beam Computed Tomography. - Xiaoyu Yang 007; Yufei Chen 002; Xiaodong Yue 002; Xiang Lin; Qi Zhang (BIBM, 2021)

Deep Neural Networks with Prior Evidence for Bladder Cancer Staging. - Xiaoqian Zhou; Xiaodong Yue 002; Zhikang Xu; Thierry Denoeux; Yufei Chen 002 (BIBM, 2021)

Integrating General and Specific Priors into Deep Convolutional Neural Networks for Bladder Tumor Segmentation. - Xiao Huang; Xiaodong Yue 002; Zhikang Xu; Yufei Chen 002 (IJCNN, 2021)

Clothing fashion style recognition with design issue graph. - Xiaodong Yue 002; Cheng Zhang; Hamido Fujita; Ying Lv (Appl. Intell., 2021)

Principles for constructing three-way approximations of fuzzy sets: A comparative evaluation based on unsupervised learning. - Jie Zhou 009; Witold Pedrycz; Can Gao; Zhihui Lai 001; Xiaodong Yue 002 (Fuzzy Sets Syst., 2021)

Three-way decision with co-training for partially labeled data. - Can Gao; Jie Zhou 009; Duoqian Miao 001; Jiajun Wen 001; Xiaodong Yue 002 (Inf. Sci., 2021)

Granular-conditional-entropy-based attribute reduction for partially labeled data with proxy labels. - Can Gao; Jie Zhou 009; Duoqian Miao 001; Xiaodong Yue 002; Jun Wan 005 (Inf. Sci., 2021)

Projected fuzzy C-means clustering with locality preservation. - Jie Zhou 009; Witold Pedrycz; Xiaodong Yue 002; Can Gao; Zhihui Lai 001; Jun Wan 005 (Pattern Recognit., 2021)

Trusted Multi-View Deep Learning with Opinion Aggregation. - Wei Liu 303; Xiaodong Yue 002; Yufei Chen 002; Thierry Denoeux (AAAI, 2022)

Selecting Reliable Instances from ImageNet for Medical Image Domain Adaptation. - Ying Lv; Xiaodong Yue 002; Zhikang Xu; Yufei Chen 002; Zihao Li (BIBM, 2022)

Stable Clustering Ensemble Based on Evidence Theory. - Haijie Fu; Xiaodong Yue 002; Wei Liu 303; Thierry Denoeux (ICIP, 2022)

Harnessing Deep Bladder Tumor Segmentation with Logical Clinical Knowledge. - Xiao Huang; Xiaodong Yue 002; Zhikang Xu; Yufei Chen 002 (MICCAI (4), 2022)

Convolutional Redistribution Network for Multi-view Medical Image Diagnosis. - Yuan Zhou; Xiaodong Yue 002; Yufei Chen 002; Chao Ma 027; Ke Jiang (CLIP@MICCAI, 2022)

Weakly-supervised Cerebrovascular Segmentation Network with Shape Prior and Model Indicator. - Qian Wu; Yufei Chen 002; Ning Huang; Xiaodong Yue 002 (ICMR, 2022)

Uncertainty-Aware Deep Open-Set Object Detection. - Qi Hang; Zihao Li; Yudi Dong; Xiaodong Yue 002 (IJCRS, 2022)

Video Object Detection with MeanShift Tracking. - Shuai Zhang; Wei Liu 303; Haijie Fu; Xiaodong Yue 002 (IJCRS, 2022)

Local linear embedding based interpolation neural network in pancreatic tumor segmentation. - Xiaoyu Yang 007; Yufei Chen 002; Xiaodong Yue 002; Chao Ma 027; Panpan Yang (Appl. Intell., 2022)

Target-aware U-Net with fuzzy skip connections for refined pancreas segmentation. - Yufei Chen 002; Chang Xu; Weiping Ding 001; Shichen Sun; Xiaodong Yue 002; Hamido Fujita (Appl. Soft Comput., 2022)

Three-Way Image Classification with Evidential Deep Convolutional Neural Networks. - Xiaodong Yue 002; Yufei Chen 002; Bin Yuan; Ying Lv (Cogn. Comput., 2022)

Domain Adaptation with Data Uncertainty Measure Based on Evidence Theory. - Ying Lv; Bofeng Zhang; Guobing Zou; Xiaodong Yue 002; Zhikang Xu; Haiyan Li (Entropy, 2022)

Parameterized maximum-entropy-based three-way approximate attribute reduction. - Can Gao; Jie Zhou 009; Jinming Xing; Xiaodong Yue 002 (Int. J. Approx. Reason., 2022)

Deep evidential fusion network for medical image classification. - Shaoxun Xu; Yufei Chen 002; Chao Ma 027; Xiaodong Yue 002 (Int. J. Approx. Reason., 2022)

Semi-supervised shadowed sets for three-way classification on partial labeled data. - Xiaodong Yue 002; S. W. Liu; Q. Qian; Duoqian Miao 001; Can Gao (Inf. Sci., 2022)

Hierarchical multilabel classification by exploiting label correlations. - Zhikang Xu; Bofeng Zhang; Deyu Li 001; Xiaodong Yue 002 (Int. J. Mach. Learn. Cybern., 2022)

Safe Multi-View Deep Classification. - Wei Liu 303; Yufei Chen 002; Xiaodong Yue 002; Changqing Zhang 002; Shaorong Xie (AAAI, 2023)

Trusted Fine-Grained Image Classification through Hierarchical Evidence Fusion. - Zhikang Xu; Xiaodong Yue 002; Ying Lv; Wei Liu 303; Zihao Li (AAAI, 2023)

T-distributed Spherical Feature Representation for Imbalanced Classification. - Xiaoyu Yang 007; Yufei Chen 002; Xiaodong Yue 002; Shaoxun Xu; Chao Ma 027 (AAAI, 2023)

Trusted Fine-grained Medical Image Classification through Multiple Evidence Fusion. - Zhikang Xu; Xiaodong Yue 002; Bofeng Zhang; Ying Lv; Zhipeng Wei (BIBM, 2023)

Correlation and Foreground Attention to Improve Object Detection. - Yudi Dong; Xiaodong Yue 002; Zhikang Xu; Shaorong Xie (ICIP, 2023)

Multi-Dimensional Pruned Sparse Convolution for Efficient 3D Object Detection. - Linye Li; Xiaodong Yue 002; Zhikang Xu; Shaorong Xie (ICIP, 2023)

Deep Determinantal Q-Learning with Role Aware. - Kai Han 008; Xiaodong Yue 002; Wei Liu 303; Jinxin Zhan (IEA/AIE (2), 2023)

Accelerating Deep Reinforcement Learning with Fuzzy Logic Rules. - Jinxin Zhan; Xiaodong Yue 002; Zihao Li; Kai Han 008 (IEA/AIE (2), 2023)

Evidence Reconciled Neural Network for Out-of-Distribution Detection in Medical Images. - Wei Fu; Yufei Chen 002; Wei Liu 303; Xiaodong Yue 002; Chao Ma 027 (MICCAI (3), 2023)

Improved Object Detection Method Utilizing YOLOv7-Tiny for Unmanned Aerial Vehicle Photographic Imagery. - Linhua Zhang; Ning Xiong; Xinghao Pan; Xiaodong Yue 002; Peng Wu 027; Caiping Guo (Algorithms, 2023)

Special issue on fuzzy systems for biomedical science in healthcare. - Weiping Ding 001; Javier Andréu Pérez; Yiu-ming Cheung; Swagatam Das; Xiaodong Yue 002; Dariusz Mrozek (Appl. Soft Comput., 2023)

Low-Rank Linear Embedding for Robust Clustering. - Jie Zhou 009; Witold Pedrycz; Jun Wan 005; Can Gao; Zhihui Lai 001; Xiaodong Yue 002 (IEEE Trans. Knowl. Data Eng., 2023)

Trusted Multi-view Pancreatic Tumor Subtypes Diagnosis through Augmented Opinion. - Qiguang Huang; Yufei Chen 002; Yuqi Liu; Xiaodong Yue 002; Chao Ma 027 (BIBM, 2024)

Evidence Harmonization Network for Tumor Segmentation with Missing Modalities. - Shichen Sun; Yufei Chen 002; Yuqi Liu; Xiaodong Yue 002 (BIBM, 2024)

Deep Evidential Active Learning with Uncertainty-Aware Determinantal Point Process. - Yuxian Zhou; Xiaodong Yue 002; Yufei Chen 002; Shaorong Xie (ICPR (1), 2024)

Uncertainty-Aware Multi-view Learning for Prostate Cancer Grading with DWI. - Zhicheng Dong 001; Xiaodong Yue 002; Yufei Chen 002; Xujing Zhou; Jiye Liang (MICCAI (10), 2024)

Building Trust in Decision with Conformalized Multi-view Deep Classification. - Wei Liu 303; Yufei Chen 002; Xiaodong Yue 002 (ACM Multimedia, 2024)

Hyper-opinion Evidential Deep Learning for Out-of-Distribution Detection. - Jingen Qu; Yufei Chen 002; Xiaodong Yue 002; Wei Fu; Qiguang Huang (NeurIPS, 2024)

Cross-Weighting Knowledge Distillation for Object Detection. - Zhaoyi Li; Zihao Li; Xiaodong Yue 002 (IJCRS (1), 2024)

ConformalRefiner: Retinal Vessel Topology Reconstruction via Conformal Risk Control. - Xiaolong Pang; Zhipeng Wei; Jie Shi 014; Xiaodong Yue 002 (IJCRS (3), 2024)

A general variation-driven network for medical image synthesis. - Yufei Chen 002; Xiaoyu Yang 007; Xiaodong Yue 002; Xiang Lin; Qi Zhang; Hamido Fujita (Appl. Intell., 2024)

Three-way decision-based Takagi-Sugeno-Kang fuzzy classifier for partially labeled data. - Linchao Pan; Can Gao; Jie Zhou 009; Gong Chen; Xiaodong Yue 002 (Appl. Soft Comput., 2024)

Selecting reliable instances based on evidence theory for transfer learning. - Ying Lv; Bofeng Zhang; Xiaodong Yue 002; Thierry Denoeux; Shan Yue (Expert Syst. Appl., 2024)

Involving logical clinical knowledge into deep neural networks to improve bladder tumor segmentation. - Xiaodong Yue 002; Xiao Huang; Zhikang Xu; Yufei Chen 002; Chuanliang Xu (Medical Image Anal., 2024)

Analysis of core attribute and approximate reduct based on the three-way decision. - Can Gao; Zhicheng Wang 015; Jie Zhou 009; Hang Zeng; Xiaodong Yue 002 (Appl. Soft Comput., 2024)

Typicality-Aware Adaptive Similarity Matrix for Unsupervised Learning. - Jie Zhou 009; Can Gao; Xizhao Wang; Zhihui Lai 001; Jun Wan 005; Xiaodong Yue 002 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Deep Closing: Enhancing Topological Connectivity in Medical Tubular Segmentation. - Qian Wu; Yufei Chen 002; Wei Liu 303; Xiaodong Yue 002; Xiahai Zhuang (IEEE Trans. Medical Imaging, 2024)

Enhancing Multi-View Classification Reliability with Adaptive Rejection. - Wei Liu 303; Yufei Chen 002; Xiaodong Yue 002 (AAAI, 2025)

Integrating Clinical Knowledge into Radiology Report Generation to Enhance Diagnosis. - Zhenqian Cao; Xiaodong Yue 002; Yufei Chen; Zhikang Xu; Zhipeng Wei; Zihao Li (BIBM, 2025)

H-MEAN: Hierarchical Multi-view Evidence Aggregation Network for Trustworthy Medical Image Classification. - Yina Li; Yufei Chen 002; Wei Liu 303; Jingen Qu; Chao Ma 027; Xiaodong Yue 002 (BIBM, 2025)

A Causality-Driven Multi-Modal Alignment Method in Medical Classification. - Xiaolong Shen; Yufei Chen; Yina Li; Xiaodong Yue 002; Chao Ma (BIBM, 2025)

Lesion-Aware Prostate DWI Synthesis Using Latent Diffusion. - Haibo Wang; Xiaodong Yue 002; Yufei Chen 002; Zhipeng Wei; Jie Shi 014; Zhenqian Cao (BIBM, 2025)

Trusted Retinal Image Registration via Uncertain Keypoint Matching. - Zhipeng Wei; Xiaodong Yue 002; Yufei Chen 002; Zhikang Xu; Zheran Zhang; Zhenqian Cao (BIBM, 2025)

Leveraging Intra-Modal Consistency for Cross-Modal Alignment and Retrieval. - Fengyang Mao; Xiaodong Yue 002; Yufei Chen 002; Jiaqing Ma; Zheran Zhang; Jie Shi 014 (CIKM, 2025)

Measuring Uncertainty in Medical Image Diagnosis via Conformal Focal Loss. - Ao Yang; Xiaodong Yue 002; Yufei Chen 002 (CIKM, 2025)

Enhancing Testing-Time Robustness for Trusted Multi-View Classification in the Wild. - Wei Liu 303; Yufei Chen 002; Xiaodong Yue 002 (CVPR, 2025)

ECG Report Generation with Diagnostic Knowledge Enhanced Prompt Learning. - Panpan Fan; Xiaodong Yue 002; Yufei Chen 002; Zhipeng Wei; Jie Shi 014; Zhikang Xu (CLIP@MICCAI, 2025)

Integrate Semantic Radiomics as Prior Evidence Into Evidential Deep Learning for Pelvic Lipomatosis Diagnosis. - Zheran Zhang; Xiaodong Yue 002; Maoyu Wang; Zhikang Xu; Yufei Chen 002; Zhipeng Wei (MICCAI (15), 2025)

Trusted Open-World Multi-View Classification with Dynamic Opinion Aggregation. - Zhicheng Dong 001; Xiaodong Yue 002; Yufei Chen 002; Yuxian Zhou (ACM Multimedia, 2025)

Breaking Distributional Assumptions in Multi-view Learning: Test-Time Adaptive Fusion via Conformalized Evidence Representation. - Shijie Ding; Xiaodong Yue 002; Yufei Chen 002; Jie Shi 014; Dongqi Xia (MMAsia, 2025)

Dual-View Gradient Probes: Disentangling Uncertainty for Deep Active Learning. - Dongqi Xia; Xiaodong Yue 002; Yufei Chen 002; Jie Shi 014; Shijie Ding (MMAsia, 2025)

Vicinal Label Supervision for Reliable Aleatoric and Epistemic Uncertainty Estimation. - Linye Li; Yufei Chen; Xiaodong Yue 002 (NeurIPS, 2025)

Uncertainty-Aware Modeling of Q-Values for Efficient Exploration in Deep Reinforcement Learning. - Jianyi Wu; Xiaodong Yue 002; Jie Shi 014 (SoMeT, 2025)

Refining Confusion and Ignorance in Trusted Multi-View Classification. - Xujing Zhou; Xiaodong Yue 002; Yufei Chen 002; Linye Li (WWW (Companion Volume), 2025)

Fusing fuzzy rough sets and mean shift for anomaly detection. - Mengyao Liao; Zhiyu Chen 010; Can Gao; Jie Zhou 009; Xiaodong Yue 002 (Int. J. Approx. Reason., 2025)

Evidential dissonance measure in robust multi-view classification to resist adversarial attack. - Xiaodong Yue 002; Zhicheng Dong 001; Yufei Chen 002; Shaorong Xie (Inf. Fusion, 2025)

MU-OLTC: meta uncertainty calibration for open-set long-tailed classification. - Zihao Li; Xiaodong Yue 002; Jiye Liang; Jie Shi 014; Zhipeng Wei (Int. J. Mach. Learn. Cybern., 2025)

Not All Inconsistency Is Equal: Decomposing LVLM Uncertainty into Belief Divergence and Belief Conflict. - Jie Shi 014; Xiaodong Yue 002; Wei Liu 303; Yufei Chen 002; Feifan Dong (AAAI, 2026)

Enhancing Trusted Multi-View Classification via Adaptive Regularization Guided by View-Specific Biases. - Zhiyuan Liu; Xiaodong Yue 002; Yufei Chen 002; Shijie Ding; Jie Shi 014 (WWW, 2026)

MGK-RAG: Multi-Granularity Knowledge Guided Retrieval-Augmented Generation for Radiology Report. - Jiaqing Ma; Xiaodong Yue 002; Yufei Chen 002; Jie Shi 014; Zhipeng Wei; Zeyu Jia (WWW, 2026)

Active Retrieval-Augmented Generation with Conflict-Fused Uncertainty Quantification. - Tao Tang; Xiaodong Yue 002; Yufei Chen 002; Jie Shi 014; Shijie Ding (WWW, 2026)

Submodular neighborhood covering reduction for tri-partition classification. - Xiaodong Yue 002; Renxia Wan; Jie Shi 014; Zihao Li; Zhipeng Wei (Int. J. Approx. Reason., 2026)

KP2L: Knowledge-driven pyramid prototype learning for semi-supervised medical image segmentation. - Yuqi Liu; Yufei Chen 002; Wei Fu; Xiaodong Yue 002; Thierry Denoeux (Knowl. Based Syst., 2026)

D-EDL: Differential evidential deep learning for robust medical out-of-distribution detection. - Wei Fu; Yufei Chen 002; Yuqi Liu; Xiaodong Yue 002 (Medical Image Anal., 2026)

A fair spectral clustering with weighted fairness constraints. - Ruixin Feng; Caiming Zhong; Jiangbo Qian; Tiejun Pan; Xiaodong Yue 002 (Pattern Recognit., 2026)

Clinical knowledge enhanced medical image classification. - Zhikang Xu; Jiye Liang; Zhipeng Wei; Xiaodong Yue 002; Deyu Li 001 (Pattern Recognit., 2026)

REDNet: Reliable Evidential Discounting Network for Multi-Modality Medical Image Segmentation. - Shichen Sun; Yufei Chen 002; Xiaodong Yue 002; Chao Ma 027; Xiahai Zhuang (IEEE Trans. Medical Imaging, 2026)

Enhancing Reliability in Medical Image Classification of Imperfect Views. - Wei Liu 303; Yufei Chen 002; Xiaodong Yue 002; Changqing Zhang 002; Shaorong Xie (IEEE Trans. Circuits Syst. Video Technol., 2026)