Xiaodong Yue

Orcid: 0000-0002-0536-1345

Affiliations:
  • Shanghai University, Shanghai, China


According to our database1, Xiaodong Yue authored at least 122 papers between 2009 and 2026.

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Timeline

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Bibliography

2026
Enhancing Reliability in Medical Image Classification of Imperfect Views.
IEEE Trans. Circuits Syst. Video Technol., February, 2026

REDNet: Reliable Evidential Discounting Network for Multi-Modality Medical Image Segmentation.
IEEE Trans. Medical Imaging, January, 2026

Clinical knowledge enhanced medical image classification.
Pattern Recognit., 2026

A fair spectral clustering with weighted fairness constraints.
Pattern Recognit., 2026

D-EDL: Differential evidential deep learning for robust medical out-of-distribution detection.
Medical Image Anal., 2026

KP2L: Knowledge-driven pyramid prototype learning for semi-supervised medical image segmentation.
Knowl. Based Syst., 2026

Submodular neighborhood covering reduction for tri-partition classification.
Int. J. Approx. Reason., 2026

Active Retrieval-Augmented Generation with Conflict-Fused Uncertainty Quantification.
Proceedings of the ACM Web Conference 2026, 2026

MGK-RAG: Multi-Granularity Knowledge Guided Retrieval-Augmented Generation for Radiology Report.
Proceedings of the ACM Web Conference 2026, 2026

Enhancing Trusted Multi-View Classification via Adaptive Regularization Guided by View-Specific Biases.
Proceedings of the ACM Web Conference 2026, 2026

Not All Inconsistency Is Equal: Decomposing LVLM Uncertainty into Belief Divergence and Belief Conflict.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
MU-OLTC: meta uncertainty calibration for open-set long-tailed classification.
Int. J. Mach. Learn. Cybern., September, 2025

Evidential dissonance measure in robust multi-view classification to resist adversarial attack.
Inf. Fusion, 2025

Fusing fuzzy rough sets and mean shift for anomaly detection.
Int. J. Approx. Reason., 2025

Refining Confusion and Ignorance in Trusted Multi-View Classification.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Uncertainty-Aware Modeling of Q-Values for Efficient Exploration in Deep Reinforcement Learning.
Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2025

Vicinal Label Supervision for Reliable Aleatoric and Epistemic Uncertainty Estimation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Dual-View Gradient Probes: Disentangling Uncertainty for Deep Active Learning.
Proceedings of the 7th ACM International Conference on Multimedia in Asia, 2025

Breaking Distributional Assumptions in Multi-view Learning: Test-Time Adaptive Fusion via Conformalized Evidence Representation.
Proceedings of the 7th ACM International Conference on Multimedia in Asia, 2025

Trusted Open-World Multi-View Classification with Dynamic Opinion Aggregation.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Integrate Semantic Radiomics as Prior Evidence Into Evidential Deep Learning for Pelvic Lipomatosis Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

ECG Report Generation with Diagnostic Knowledge Enhanced Prompt Learning.
Proceedings of the Clinical Image-Based Procedures - 14th International Workshop, 2025

Enhancing Testing-Time Robustness for Trusted Multi-View Classification in the Wild.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Measuring Uncertainty in Medical Image Diagnosis via Conformal Focal Loss.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Leveraging Intra-Modal Consistency for Cross-Modal Alignment and Retrieval.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Trusted Retinal Image Registration via Uncertain Keypoint Matching.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Lesion-Aware Prostate DWI Synthesis Using Latent Diffusion.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

A Causality-Driven Multi-Modal Alignment Method in Medical Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

H-MEAN: Hierarchical Multi-view Evidence Aggregation Network for Trustworthy Medical Image Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Integrating Clinical Knowledge into Radiology Report Generation to Enhance Diagnosis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Enhancing Multi-View Classification Reliability with Adaptive Rejection.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Deep Closing: Enhancing Topological Connectivity in Medical Tubular Segmentation.
IEEE Trans. Medical Imaging, November, 2024

Typicality-Aware Adaptive Similarity Matrix for Unsupervised Learning.
IEEE Trans. Neural Networks Learn. Syst., August, 2024

Analysis of core attribute and approximate reduct based on the three-way decision.
Appl. Soft Comput., January, 2024

Involving logical clinical knowledge into deep neural networks to improve bladder tumor segmentation.
Medical Image Anal., 2024

Selecting reliable instances based on evidence theory for transfer learning.
Expert Syst. Appl., 2024

Three-way decision-based Takagi-Sugeno-Kang fuzzy classifier for partially labeled data.
Appl. Soft Comput., 2024

A general variation-driven network for medical image synthesis.
Appl. Intell., 2024

ConformalRefiner: Retinal Vessel Topology Reconstruction via Conformal Risk Control.
Proceedings of the Rough Sets - International Joint Conference, 2024

Cross-Weighting Knowledge Distillation for Object Detection.
Proceedings of the Rough Sets - International Joint Conference, 2024

Hyper-opinion Evidential Deep Learning for Out-of-Distribution Detection.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Building Trust in Decision with Conformalized Multi-view Deep Classification.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Uncertainty-Aware Multi-view Learning for Prostate Cancer Grading with DWI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Deep Evidential Active Learning with Uncertainty-Aware Determinantal Point Process.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

Evidence Harmonization Network for Tumor Segmentation with Missing Modalities.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Trusted Multi-view Pancreatic Tumor Subtypes Diagnosis through Augmented Opinion.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
Low-Rank Linear Embedding for Robust Clustering.
IEEE Trans. Knowl. Data Eng., May, 2023

Special issue on fuzzy systems for biomedical science in healthcare.
Appl. Soft Comput., 2023

Improved Object Detection Method Utilizing YOLOv7-Tiny for Unmanned Aerial Vehicle Photographic Imagery.
Algorithms, 2023

Evidence Reconciled Neural Network for Out-of-Distribution Detection in Medical Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Accelerating Deep Reinforcement Learning with Fuzzy Logic Rules.
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 2023

Deep Determinantal Q-Learning with Role Aware.
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 2023

Multi-Dimensional Pruned Sparse Convolution for Efficient 3D Object Detection.
Proceedings of the IEEE International Conference on Image Processing, 2023

Correlation and Foreground Attention to Improve Object Detection.
Proceedings of the IEEE International Conference on Image Processing, 2023

Trusted Fine-grained Medical Image Classification through Multiple Evidence Fusion.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

T-distributed Spherical Feature Representation for Imbalanced Classification.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Trusted Fine-Grained Image Classification through Hierarchical Evidence Fusion.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Safe Multi-View Deep Classification.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Hierarchical multilabel classification by exploiting label correlations.
Int. J. Mach. Learn. Cybern., 2022

Semi-supervised shadowed sets for three-way classification on partial labeled data.
Inf. Sci., 2022

Deep evidential fusion network for medical image classification.
Int. J. Approx. Reason., 2022

Parameterized maximum-entropy-based three-way approximate attribute reduction.
Int. J. Approx. Reason., 2022

Domain Adaptation with Data Uncertainty Measure Based on Evidence Theory.
Entropy, 2022

Three-Way Image Classification with Evidential Deep Convolutional Neural Networks.
Cogn. Comput., 2022

Target-aware U-Net with fuzzy skip connections for refined pancreas segmentation.
Appl. Soft Comput., 2022

Local linear embedding based interpolation neural network in pancreatic tumor segmentation.
Appl. Intell., 2022

Video Object Detection with MeanShift Tracking.
Proceedings of the Rough Sets - International Joint Conference, 2022

Uncertainty-Aware Deep Open-Set Object Detection.
Proceedings of the Rough Sets - International Joint Conference, 2022

Weakly-supervised Cerebrovascular Segmentation Network with Shape Prior and Model Indicator.
Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022

Convolutional Redistribution Network for Multi-view Medical Image Diagnosis.
Proceedings of the Clinical Image-Based Procedures - 11th Workshop, 2022

Harnessing Deep Bladder Tumor Segmentation with Logical Clinical Knowledge.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Stable Clustering Ensemble Based on Evidence Theory.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Selecting Reliable Instances from ImageNet for Medical Image Domain Adaptation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Trusted Multi-View Deep Learning with Opinion Aggregation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Projected fuzzy C-means clustering with locality preservation.
Pattern Recognit., 2021

Granular-conditional-entropy-based attribute reduction for partially labeled data with proxy labels.
Inf. Sci., 2021

Three-way decision with co-training for partially labeled data.
Inf. Sci., 2021

Principles for constructing three-way approximations of fuzzy sets: A comparative evaluation based on unsupervised learning.
Fuzzy Sets Syst., 2021

Clothing fashion style recognition with design issue graph.
Appl. Intell., 2021

Integrating General and Specific Priors into Deep Convolutional Neural Networks for Bladder Tumor Segmentation.
Proceedings of the International Joint Conference on Neural Networks, 2021

Deep Neural Networks with Prior Evidence for Bladder Cancer Staging.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Variational Synthesis Network for Generating Micro Computed Tomography from Cone Beam Computed Tomography.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Multi-branch Recurrent Attention Convolutional Neural Network with Evidence Theory for Fine-Grained Image Classification.
Proceedings of the Belief Functions: Theory and Applications, 2021

Deep Evidential Fusion Network for Image Classification.
Proceedings of the Belief Functions: Theory and Applications, 2021

Ensemble of Adapters for Transfer Learning Based on Evidence Theory.
Proceedings of the Belief Functions: Theory and Applications, 2021

2020
Shadowed Neighborhoods Based on Fuzzy Rough Transformation for Three-Way Classification.
IEEE Trans. Fuzzy Syst., 2020

Robust Neighborhood Covering Reduction with Determinantal Point Process sampling.
Knowl. Based Syst., 2020

Fuzzy neighborhood covering for three-way classification.
Inf. Sci., 2020

Sequential three-way decisions via multi-granularity.
Inf. Sci., 2020

Multigranulation rough-fuzzy clustering based on shadowed sets.
Inf. Sci., 2020

Evidential Deep Neural Networks for Uncertain Data Classification.
Proceedings of the Knowledge Science, Engineering and Management, 2020

Clustering Ensemble Selection with Analytic Hierarchy Process.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Integrating Diagnosis Rules into Deep Neural Networks for Bladder Cancer Staging.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

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).
计算机科学, 2019

Constrained three-way approximations of fuzzy sets: From the perspective of minimal distance.
Inf. Sci., 2019

Constrained shadowed sets and fast optimization algorithm.
Int. J. Intell. Syst., 2019

Deep Interactive Segmentation of Uncertain Regions with Shadowed Sets.
Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019

Clustering Ensemble Selection with Determinantal Point Processes.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018
Rough possibilistic C-means clustering based on multigranulation approximation regions and shadowed sets.
Knowl. Based Syst., 2018

Rough-Fuzzy Clustering Based on Two-Stage Three-Way Approximations.
IEEE Access, 2018

Feature Selection Ensemble for Symbolic Data Classification with AHP.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
Region scalable active contour model with global constraint.
Knowl. Based Syst., 2017

Three-way decision support for diagnosis on focal liver lesions.
Knowl. Based Syst., 2017

Tri-partition neighborhood covering reduction for robust classification.
Int. J. Approx. Reason., 2017

Attribute reduction for sequential three-way decisions under dynamic granulation.
Int. J. Approx. Reason., 2017

Supervised Sparsity Preserving Projections for Face Recognition.
Comput. Informatics, 2017

Efficient Neighborhood Covering Reduction with Submodular Function Optimization.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Ensemble of active contour based image segmentation.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016
Rough Neighborhood Covering Reduction for robust classification.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015
Neighborhood-user profiling based on perception relationship in the micro-blog scenario.
J. Web Semant., 2015

Multi-view attribute reduction model for traffic bottleneck analysis.
Knowl. Based Syst., 2015

Multi-View Actionable Patterns for Managing Traffic Bottleneck.
Proceedings of the Artificial Intelligence for Transportation: Advice, 2015

2014
An efficient color quantization based on generic roughness measure.
Pattern Recognit., 2014

Parallel attribute reduction algorithms using MapReduce.
Inf. Sci., 2014

Knowledge Granulation in Interval-Valued Information Systems Based on Maximal Consistent Blocks.
Proceedings of the Rough Sets and Knowledge Technology - 9th International Conference, 2014

Co-training Based Attribute Reduction for Partially Labeled Data.
Proceedings of the Rough Sets and Knowledge Technology - 9th International Conference, 2014

Diversification recommendation of popular articles in micro-blog scenario.
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

2013
Scale selection in roughness based color quantization.
Proceedings of the 2013 IEEE International Conference on Granular Computing, 2013

2012
Multiscale roughness measure for color image segmentation.
Inf. Sci., 2012

2011
Roughness Approach to Color Image Segmentation through Smoothing Local Difference.
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

2009
Rough Geometry and Its Applications in Character Recognition.
Trans. Rough Sets, 2009

Knowledge reduction in interval-valued information systems.
Proceedings of the 8th IEEE International Conference on Cognitive Informatics, 2009


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