Optimum and suboptimum CDMA detectors: Near-far resistance under multipath. - Xiaodong Yue; H. Howard Fan (ICASSP, 2002)

A linear smoothing method for enhancing near-far resistance of CDMA detectors. - Xiaodong Yue; H. Howard Fan (ICASSP (4), 2003)

Near-far resistant detection of CDMA signals in dispersive channels. - Xiaodong Yue (Signal Process., 2003)

Near-far resistance of CDMA communication systems with spatial diversity. - Xiaodong Yue; H. Howard Fan (ICASSP (4), 2004)

Linear smoothing method for blind equalization of OFDM systems without cyclic prefix. - Xiaodong Yue; H. Howard Fan (WCNC, 2004)

Near-far resistance of Alamouti space-time coded CDMA communication systems. - Xiaodong Yue; H. Howard Fan (Signal Process., 2004)

Near-far resistance of multicarrier CDMA communication systems. - Xiaodong Yue; H. Howard Fan (IEEE Signal Process. Lett., 2004)

Near-far resistance of optimum and suboptimum CDMA detectors under multipath. - Xiaodong Yue; H. Howard Fan (IEEE Trans. Signal Process., 2005)

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

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

Blind channel estimation for CP-free OFDM communications systems. - Xiaodong Yue; Xuefu Zhou (FSKD, 2011)

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

A blind linear smoothing method for OFDM systems without cyclic prefix. - Xiaodong Yue; Songlin Tian; Xuefu Zhou (ACSCC, 2012)

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

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

Analysis and Evaluation of Terminology Translation Consistency in Scientific and Technical Literature. - Baosheng Yin; Xiaodong Yue; Dongfeng Cai; Guiping Zhang (IALP, 2013)

High performance energy efficient multi-channel wireless data broadcasting system. - Jiaofei Zhong; Zheng Gao; Weili Wu 001; Weidong Chen 009; Xiaofeng Gao 001; Xiaodong Yue (WCNC, 2013)

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

Attribute Reduction in Decision-Theoretic Rough Set Model Using MapReduce. - Jin Qian; Ping Lv; Qingjun Guo; Xiaodong Yue (RSKT, 2014)

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

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

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

Evaluation and comparison of various indexing schemes in single-channel broadcast communication environment. - Jiaofei Zhong; Weili Wu 001; Xiaofeng Gao 001; Yan Shi 009; Xiaodong Yue (Knowl. Inf. Syst., 2014)

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

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

Dimensional scalability of supervised and unsupervised concept drift detection: An empirical study. - Jorge David Destephen Lavaire; Anshuman Singh; Mahmoud Yousef; Sumi Singh; Xiaodong Yue (IEEE BigData, 2015)

Hierarchical attribute reduction algorithms for big data using MapReduce. - Jin Qian; Ping Lv; Xiaodong Yue; Caihui Liu; Zhengjun Jing (Knowl. Based Syst., 2015)

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

A clustering ensemble: Two-level-refined co-association matrix with path-based transformation. - Caiming Zhong; Xiaodong Yue; Zehua Zhang; Jingsheng Lei (Pattern Recognit., 2015)

Visual hierarchical cluster structure: A refined co-association matrix based visual assessment of cluster tendency. - Caiming Zhong; Xiaodong Yue; Jingsheng Lei (Pattern Recognit. Lett., 2015)

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

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

Incremental attribute reduction algorithm for big data using MapReduce. - Ping Lv; Jin Qian; Xiaodong Yue (J. Comput. Methods Sci. Eng., 2016)

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

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

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

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

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

A case study for teaching students agile and scrum in Capstone course. - Dabin Ding; Mahmoud Yousef; Xiaodong Yue (J. Comput. Sci. Coll., 2017)

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

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

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

Cluster Ensemble Based on Iteratively Refined Co-Association Matrix. - Caiming Zhong; Ting Luo 001; Xiaodong Yue (IEEE Access, 2018)

Rough-Fuzzy Clustering Based on Two-Stage Three-Way Approximations. - Jie Zhou 009; Zhihui Lai 001; Can Gao; Xiaodong Yue; 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 (Knowl. Based Syst., 2018)

Parallel knowledge acquisition algorithms for big data using MapReduce. - Jin Qian; Min Xia; Xiaodong Yue (Int. J. Mach. Learn. Cybern., 2018)

Efficient Attribute Reduction with Submodular Function Optimization. - Xuxia Zhang; Xiaodong Yue; Zhikang Xu (ICDM Workshops, 2019)

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

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

Multigranulation sequential three-way decisions based on multiple thresholds. - Jin Qian; Caihui Liu; Xiaodong Yue (Int. J. Approx. Reason., 2019)

Constrained shadowed sets and fast optimization algorithm. - Jie Zhou 009; Can Gao; Witold Pedrycz; Zhihui Lai 001; Xiaodong Yue (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 (Inf. Sci., 2019)

Revising an accredited computer science program at a public regional university to meet new ABET guidelines. - Xiaodong Yue; Belinda Copus; Hyungbae Park; Mahmoud Yousef; Songlin Tian (J. Comput. Sci. Coll., 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; Xiaodong Yue; Xiangrong Tong; Heqing Kong (计算机科学, 2019)

Ensemble clustering based on evidence extracted from the co-association matrix. - Caiming Zhong; Lianyu Hu 001; Xiaodong Yue; Ting Luo 001; Qiang Fu; Haiyong Xu (Pattern Recognit., 2019)

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

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

Evidential Deep Neural Networks for Uncertain Data Classification. - Bin Yuan; Xiaodong Yue; 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 (Inf. Sci., 2020)

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

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

Design of virtual labs for an ethical hacking course. - Xiaodong Yue; Hyungbae Park (J. Comput. Sci. Coll., 2020)

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

Shadowed Neighborhoods Based on Fuzzy Rough Transformation for Three-Way Classification. - Xiaodong Yue; 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; Zhikang Xu; Wei Liu 027 (BELIEF, 2021)

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

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

Clothing fashion style recognition with design issue graph. - Xiaodong Yue; 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 (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 (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; Jun Wan 005 (Inf. Sci., 2021)

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

Trusted Multi-View Deep Learning with Opinion Aggregation. - Wei Liu 027; Xiaodong Yue; Yufei Chen 002; Thierry Denoeux (AAAI, 2022)

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

Stable Clustering Ensemble Based on Evidence Theory. - Haijie Fu; Xiaodong Yue; Wei Liu 027; Thierry Denoeux (ICIP, 2022)

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

Convolutional Redistribution Network for Multi-view Medical Image Diagnosis. - Yuan Zhou; Xiaodong Yue; 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 (ICMR, 2022)

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

Video Object Detection with MeanShift Tracking. - Shuai Zhang; Wei Liu 027; Haijie Fu; Xiaodong Yue (IJCRS, 2022)

Local linear embedding based interpolation neural network in pancreatic tumor segmentation. - Xiaoyu Yang 007; Yufei Chen 002; Xiaodong Yue; 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; Hamido Fujita (Appl. Soft Comput., 2022)

Three-Way Image Classification with Evidential Deep Convolutional Neural Networks. - Xiaodong Yue; 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; Zhikang Xu; Haiyan Li (Entropy, 2022)

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

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

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

How to secure ABET accreditation for a cybersecurity program: a case study. - Xiaodong Yue; Belinda Copus; Hyungbae Park (J. Comput. Sci. Coll., 2022)

Design of a Flat Panel Detector for the PET-Laparoscope System Using Simulations. - Xiaodong Yue; Madhushanka Rukshani Liyanaarachchi; Kenji Shimazoe; Kenichiro Ogane; Hiroyuki Takahashi; Miwako Takahashi; Kazuaki Hara; Etsuko Kobayashi; Ichiro Sakuma (J. Medical Robotics Res., 2022)

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

Expectations of immediate and delayed reward differentially affect cognitive task performance. - Yachao Rong; Ning-Xuan Chen; Jiarui Dong; Qi Li; Xiaodong Yue; Li Hu; Ping Wei 006 (NeuroImage, 2022)

Safe Multi-View Deep Classification. - Wei Liu 027; Yufei Chen 002; Xiaodong Yue; Changqing Zhang; Shaorong Xie (AAAI, 2023)

Trusted Fine-Grained Image Classification through Hierarchical Evidence Fusion. - Zhikang Xu; Xiaodong Yue; Ying Lv; Wei Liu 027; Zihao Li (AAAI, 2023)

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

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

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

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

Deep Determinantal Q-Learning with Role Aware. - Kai Han 008; Xiaodong Yue; Wei Liu 027; Jinxin Zhan (IEA/AIE (2), 2023)

Accelerating Deep Reinforcement Learning with Fuzzy Logic Rules. - Jinxin Zhan; Xiaodong Yue; 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 027; Xiaodong Yue; 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; 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; Dariusz Mrozek (Appl. Soft Comput., 2023)

Special issue from the 6th International Conference on Belief Functions (BELIEF 2021). - Zhunga Liu; Frédéric Pichon; Xiaodong Yue (Int. J. Approx. Reason., 2023)

Low-Rank Linear Embedding for Robust Clustering. - Jie Zhou 009; Witold Pedrycz; Jun Wan 005; Can Gao; Zhihui Lai 001; Xiaodong Yue (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; Chao Ma 027 (BIBM, 2024)

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

Safe Data Resampling Method Based on Counterfactuals Analysis. - Diwen Liu; Xiaodong Yue; Zhikang Xu (ICANN (1), 2024)

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

Dual Prototype Learning for Robust Open Set Recognition. - Yini Wang; Xiaodong Yue; Zhikang Xu; Zihao Li (IJCNN, 2024)

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

Building Trust in Decision with Conformalized Multi-view Deep Classification. - Wei Liu 027; Yufei Chen 002; Xiaodong Yue (ACM Multimedia, 2024)

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

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

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

A general variation-driven network for medical image synthesis. - Yufei Chen 002; Xiaoyu Yang 007; Xiaodong Yue; 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 (Appl. Soft Comput., 2024)

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

Involving logical clinical knowledge into deep neural networks to improve bladder tumor segmentation. - Xiaodong Yue; 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; Jie Zhou 009; Hang Zeng; Xiaodong Yue (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 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Deep Closing: Enhancing Topological Connectivity in Medical Tubular Segmentation. - Qian Wu; Yufei Chen 002; Wei Liu 027; Xiaodong Yue; Xiahai Zhuang (IEEE Trans. Medical Imaging, 2024)

Enhancing Multi-View Classification Reliability with Adaptive Rejection. - Wei Liu 027; Yufei Chen 002; Xiaodong Yue (AAAI, 2025)

Enhancing Testing-Time Robustness for Trusted Multi-View Classification in the Wild. - Wei Liu 027; Yufei Chen 002; Xiaodong Yue (CVPR, 2025)

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

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

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

CooKie: commonsense knowledge-guided mixture-of-experts framework for fine-grained visual question answering. - Chao Wang 095; Jianming Yang; Yang Zhou; Xiaodong Yue (Inf. Sci., 2025)