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

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

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

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

Three-way decision-based Takagi-Sugeno-Kang fuzzy classifier for partially labeled data - Linchao Pan; Can Gao; Jie Zhou; 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; Chuanliang Xu (Medical Image Anal., 2024)

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

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

Evidence Harmonization Network for Tumor Segmentation with Missing Modalities - Shichen Sun; Yufei Chen; Yuqi Liu; Xiaodong Yue (IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024, Lisbon, Portugal, December 3-6, 2024, 2024)

Trusted Multi-view Pancreatic Tumor Subtypes Diagnosis through Augmented Opinion - Qiguang Huang; Yufei Chen; Yuqi Liu; Xiaodong Yue; Chao Ma (IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024, Lisbon, Portugal, December 3-6, 2024, 2024)

Safe Data Resampling Method Based on Counterfactuals Analysis - Diwen Liu; Xiaodong Yue; Zhikang Xu (Artificial Neural Networks and Machine Learning - ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part I, 2024)

Deep Evidential Active Learning with Uncertainty-Aware Determinantal Point Process - Yuxian Zhou; Xiaodong Yue; Yufei Chen; Shaorong Xie (Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part I, 2024)

Dual Prototype Learning for Robust Open Set Recognition - Yini Wang; Xiaodong Yue; Zhikang Xu; Zihao Li (International Joint Conference on Neural Networks, IJCNN 2024, Yokohama, Japan, June 30 - July 5, 2024, 2024)

Uncertainty-Aware Multi-view Learning for Prostate Cancer Grading with DWI - Zhicheng Dong; Xiaodong Yue; Yufei Chen; Xujing Zhou; Jiye Liang (Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part X, 2024)

Building Trust in Decision with Conformalized Multi-view Deep Classification - Wei Liu; Yufei Chen; Xiaodong Yue (Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024 - 1 November 2024, 2024)

Hyper-opinion Evidential Deep Learning for Out-of-Distribution Detection - Jingen Qu; Yufei Chen; Xiaodong Yue; Wei Fu; Qiguang Huang (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024)

Cross-Weighting Knowledge Distillation for Object Detection - Zhaoyi Li; Zihao Li; Xiaodong Yue (Rough Sets - International Joint Conference, IJCRS 2024, Halifax, NS, Canada, May 17-20, 2024, Proceedings, Part I, 2024)

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

Special issue on fuzzy systems for biomedical science in healthcare - Weiping Ding; 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; Witold Pedrycz; Jun Wan; Can Gao; Zhihui Lai; Xiaodong Yue (IEEE Trans. Knowl. Data Eng., 2023)

Safe Multi-View Deep Classification - Wei Liu; Yufei Chen; Xiaodong Yue; Changqing Zhang; Shaorong Xie (Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023, 2023)

Trusted Fine-Grained Image Classification through Hierarchical Evidence Fusion - Zhikang Xu; Xiaodong Yue; Ying Lv; Wei Liu; Zihao Li (Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023, 2023)

T-distributed Spherical Feature Representation for Imbalanced Classification - Xiaoyu Yang; Yufei Chen; Xiaodong Yue; Shaoxun Xu; Chao Ma (Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023, 2023)

Trusted Fine-grained Medical Image Classification through Multiple Evidence Fusion - Zhikang Xu; Xiaodong Yue; Bofeng Zhang; Ying Lv; Zhipeng Wei (IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023, Istanbul, Turkiye, December 5-8, 2023, 2023)

Correlation and Foreground Attention to Improve Object Detection - Yudi Dong; Xiaodong Yue; Zhikang Xu; Shaorong Xie (IEEE International Conference on Image Processing, ICIP 2023, Kuala Lumpur, Malaysia, October 8-11, 2023, 2023)

Multi-Dimensional Pruned Sparse Convolution for Efficient 3D Object Detection - Linye Li; Xiaodong Yue; Zhikang Xu; Shaorong Xie (IEEE International Conference on Image Processing, ICIP 2023, Kuala Lumpur, Malaysia, October 8-11, 2023, 2023)

Accelerating Deep Reinforcement Learning with Fuzzy Logic Rules - Jinxin Zhan; Xiaodong Yue; Zihao Li; Kai Han (Advances and Trends in Artificial Intelligence. Theory and Applications - 36th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2023, Shanghai, China, July 19-22, 2023, Proceedings, Part II, 2023)

Deep Determinantal Q-Learning with Role Aware - Kai Han; Xiaodong Yue; Wei Liu; Jinxin Zhan (Advances and Trends in Artificial Intelligence. Theory and Applications - 36th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2023, Shanghai, China, July 19-22, 2023, Proceedings, Part II, 2023)

Evidence Reconciled Neural Network for Out-of-Distribution Detection in Medical Images - Wei Fu; Yufei Chen; Wei Liu; Xiaodong Yue; Chao Ma (Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part III, 2023)

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

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

Three-Way Image Classification with Evidential Deep Convolutional Neural Networks - Xiaodong Yue; Yufei Chen; 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)

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

Parameterized maximum-entropy-based three-way approximate attribute reduction - Can Gao; Jie Zhou; Jinming Xing; 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; Can Gao (Inf. Sci., 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 (NeuroImage, 2022)

Trusted Multi-View Deep Learning with Opinion Aggregation - Wei Liu; Xiaodong Yue; Yufei Chen; Thierry Denoeux (Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022, 2022)

Selecting Reliable Instances from ImageNet for Medical Image Domain Adaptation - Ying Lv; Xiaodong Yue; Zhikang Xu; Yufei Chen; Zihao Li (IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022, Las Vegas, NV, USA, December 6-8, 2022, 2022)

Stable Clustering Ensemble Based on Evidence Theory - Haijie Fu; Xiaodong Yue; Wei Liu; Thierry Denoeux (2022 IEEE International Conference on Image Processing, ICIP 2022, Bordeaux, France, 16-19 October 2022, 2022)

Convolutional Redistribution Network for Multi-view Medical Image Diagnosis - Yuan Zhou; Xiaodong Yue; Yufei Chen; Chao Ma; Ke Jiang (Clinical Image-Based Procedures - 11th Workshop, CLIP 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings, 2022)

Harnessing Deep Bladder Tumor Segmentation with Logical Clinical Knowledge - Xiao Huang; Xiaodong Yue; Zhikang Xu; Yufei Chen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part IV, 2022)

Weakly-supervised Cerebrovascular Segmentation Network with Shape Prior and Model Indicator - Qian Wu; Yufei Chen; Ning Huang; Xiaodong Yue (ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27 - 30, 2022, 2022)

Uncertainty-Aware Deep Open-Set Object Detection - Qi Hang; Zihao Li; Yudi Dong; Xiaodong Yue (Rough Sets - International Joint Conference, IJCRS 2022, Suzhou, China, November 11-14, 2022, Proceedings, 2022)

Video Object Detection with MeanShift Tracking - Shuai Zhang; Wei Liu; Haijie Fu; Xiaodong Yue (Rough Sets - International Joint Conference, IJCRS 2022, Suzhou, China, November 11-14, 2022, Proceedings, 2022)

Rough Sets - International Joint Conference, IJCRS 2022, Suzhou, China, November 11-14, 2022, Proceedings - JingTao Yao; Hamido Fujita; Xiaodong Yue; Duoqian Miao; Jerzy W. Grzymala-Busse; Fanzhang Li (Springer, 2022)

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; Witold Pedrycz; Can Gao; Zhihui Lai; Xiaodong Yue (Fuzzy Sets Syst., 2021)

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

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

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

Ensemble of Adapters for Transfer Learning Based on Evidence Theory - Ying Lv; Bofeng Zhang; Xiaodong Yue; Zhikang Xu; Wei Liu (Belief Functions: Theory and Applications - 6th International Conference, BELIEF 2021, Shanghai, China, October 15-19, 2021, Proceedings, 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 Functions: Theory and Applications - 6th International Conference, BELIEF 2021, Shanghai, China, October 15-19, 2021, Proceedings, 2021)

Deep Evidential Fusion Network for Image Classification - Shaoxun Xu; Yufei Chen; Chao Ma; Xiaodong Yue (Belief Functions: Theory and Applications - 6th International Conference, BELIEF 2021, Shanghai, China, October 15-19, 2021, Proceedings, 2021)

Deep Neural Networks with Prior Evidence for Bladder Cancer Staging - Xiaoqian Zhou; Xiaodong Yue; Zhikang Xu; Thierry Denoeux; Yufei Chen (IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021, Houston, TX, USA, December 9-12, 2021, 2021)

Variational Synthesis Network for Generating Micro Computed Tomography from Cone Beam Computed Tomography - Xiaoyu Yang; Yufei Chen; Xiaodong Yue; Xiang Lin; Qi Zhang (IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021, Houston, TX, USA, December 9-12, 2021, 2021)

Integrating General and Specific Priors into Deep Convolutional Neural Networks for Bladder Tumor Segmentation - Xiao Huang; Xiaodong Yue; Zhikang Xu; Yufei Chen (International Joint Conference on Neural Networks, IJCNN 2021, Shenzhen, China, July 18-22, 2021, 2021)

Granular conditional entropy-based attribute reduction for partially labeled data with proxy labels - Can Gao; Jie Zhou; Duoqian Miao; Xiaodong Yue; Jun Wan (CoRR, 2021)

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

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

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

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

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

Integrating Diagnosis Rules into Deep Neural Networks for Bladder Cancer Staging - Cheng Zhang; Xiaodong Yue; Yufei Chen; Ying Lv (CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020, 2020)

Clustering Ensemble Selection with Analytic Hierarchy Process - Wei Liu; Xiaodong Yue; Caiming Zhong; Jie Zhou (Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18-22, 2020, Proceedings, Part IV, 2020)

Evidential Deep Neural Networks for Uncertain Data Classification - Bin Yuan; Xiaodong Yue; Ying Lv; Thierry Denoeux (Knowledge Science, Engineering and Management - 13th International Conference, KSEM 2020, Hangzhou, China, August 28-30, 2020, Proceedings, Part II, 2020)

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; Can Gao; Witold Pedrycz; Zhihui Lai; Xiaodong Yue (Int. J. Intell. Syst., 2019)

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

22522201102281029305234503186730340242072091531574349201997936817202843242231616 (Multi-class-specific Attribute Reduction of Lower Approximation in Ordered Decision Tables) - Tianyou Yu; Nan Zhang; Xiaodong Yue; Xiangrong Tong; Heqing Kong (3574531639264263118523398, 2019)

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

Efficient Attribute Reduction with Submodular Function Optimization - Xuxia Zhang; Xiaodong Yue; Zhikang Xu (2019 International Conference on Data Mining Workshops, ICDM Workshops 2019, Beijing, China, November 8-11, 2019, 2019)

Clustering Ensemble Selection with Determinantal Point Processes - Wei Liu; Xiaodong Yue; Caiming Zhong; Jie Zhou (Neural Information Processing - 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12-15, 2019, Proceedings, Part III, 2019)

Deep Interactive Segmentation of Uncertain Regions with Shadowed Sets - Haiyan Zheng; Yufei Chen; Xiaodong Yue; Chao Ma (Proceedings of the Third International Symposium on Image Computing and Digital Medicine, ISICDM 2019, Xi'an, China, August 24-26, 2019, 2019)

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

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

Rough possibilistic C-means clustering based on multigranulation approximation regions and shadowed sets - Jie Zhou; Zhihui Lai; Can Gao; Duoqian Miao; 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)

Feature Selection Ensemble for Symbolic Data Classification with AHP - Meiqian Wang; Xiaodong Yue; Can Gao; Yufei Chen (24th International Conference on Pattern Recognition, ICPR 2018, Beijing, China, August 20-24, 2018, 2018)

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

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

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

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

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

Ensemble of active contour based image segmentation - Wei Xu; Xiaodong Yue; Yufei Chen; Marek Z. Reformat (2017 IEEE International Conference on Image Processing, ICIP 2017, Beijing, China, September 17-20, 2017, 2017)

Efficient Neighborhood Covering Reduction with Submodular Function Optimization - Qiang Chen; Xiaodong Yue; Jie Zhou; Yufei Chen (Neural Information Processing - 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part I, 2017)

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

Rough Neighborhood Covering Reduction for robust classification - Wei Huang; Xiaodong Yue; Caiming Zhong; Nan Zhang (23rd International Conference on Pattern Recognition, ICPR 2016, Cancún, Mexico, December 4-8, 2016, 2016)

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; Yufei Chen; 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; Keyuan Jiang (J. Web Semant., 2015)

Multi-View Actionable Patterns for Managing Traffic Bottleneck - Xiaodong Yue; Longbing Cao; Yufei Chen; Bin Xu (Artificial Intelligence for Transportation: Advice, Interactivity, and Actor Modeling, Papers from the 2015 AAAI Workshop, Austin, Texas, USA, January 26, 2015, 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 (2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29 - November 1, 2015, 2015)

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

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

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

Diversification recommendation of popular articles in micro-blog scenario - Jianxing Zheng; Bofeng Zhang; Guobing Zou; Xiaodong Yue (International Conference on Data Science and Advanced Analytics, DSAA 2014, Shanghai, China, October 30 - November 1, 2014, 2014)

Knowledge Granulation in Interval-Valued Information Systems Based on Maximal Consistent Blocks - Nan Zhang; Xiaodong Yue (Rough Sets and Knowledge Technology - 9th International Conference, RSKT 2014, Shanghai, China, October 24-26, 2014, Proceedings, 2014)

Co-training Based Attribute Reduction for Partially Labeled Data - Wei Zhang; Duoqian Miao; Can Gao; Xiaodong Yue (Rough Sets and Knowledge Technology - 9th International Conference, RSKT 2014, Shanghai, China, October 24-26, 2014, Proceedings, 2014)

Attribute Reduction in Decision-Theoretic Rough Set Model Using MapReduce - Jin Qian; Ping Lv; Qingjun Guo; Xiaodong Yue (Rough Sets and Knowledge Technology - 9th International Conference, RSKT 2014, Shanghai, China, October 24-26, 2014, Proceedings, 2014)

Scale selection in roughness based color quantization - Xiaodong Yue; Duoqian Miao; Yue Wu; Caiming Zhong; Yufei Chen (2013 IEEE International Conference on Granular Computing, GrC 2013, Beijing, China, December 13-15, 2013, 2013)

Analysis and Evaluation of Terminology Translation Consistency in Scientific and Technical Literature - Baosheng Yin; Xiaodong Yue; Dongfeng Cai; Guiping Zhang (2013 International Conference on Asian Language Processing, IALP 2013, Urumqi, China, August 17-19, 2013, 2013)

High performance energy efficient multi-channel wireless data broadcasting system - Jiaofei Zhong; Zheng Gao; Weili Wu; Weidong Chen; Xiaofeng Gao; Xiaodong Yue (2013 IEEE Wireless Communications and Networking Conference (WCNC), Shanghai, Shanghai, China, April 7-10, 2013, 2013)

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

A blind linear smoothing method for OFDM systems without cyclic prefix - Xiaodong Yue; Songlin Tian; Xuefu Zhou (Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers, ACSCC 2012, Pacific Grove, CA, USA, November 4-7, 2012, 2012)

Blind channel estimation for CP-free OFDM communications systems - Xiaodong Yue; Xuefu Zhou (Eighth International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011, 26-28 July 2011, Shanghai, China, 2011)

Roughness Approach to Color Image Segmentation through Smoothing Local Difference - Xiaodong Yue; Duoqian Miao; Yufei Chen; Hongzhong Chen (Rough Sets and Knowledge Technology - 6th International Conference, RSKT 2011, Banff, Canada, October 9-12, 2011. Proceedings, 2011)

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

Knowledge reduction in interval-valued information systems - Duoqian Miao; Nan Zhang; Xiaodong Yue (Proceedings of the 8th IEEE International Conference on Cognitive Informatics, ICCI 2009, June 15-17, 2009, Hong Kong, China, 2009)

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

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 CDMA communication systems with spatial diversity - Xiaodong Yue; H. Howard Fan (2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2004, Montreal, Quebec, Canada, May 17-21, 2004, 2004)

Linear smoothing method for blind equalization of OFDM systems without cyclic prefix - Xiaodong Yue; H. Howard Fan (2004 IEEE Wireless Communications and Networking Conference , WCNC 2004, Atlanta, Georgia, USA, 21-25 March 2004, 2004)

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

A linear smoothing method for enhancing near-far resistance of CDMA detectors - Xiaodong Yue; H. Howard Fan (2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '03, Hong Kong, April 6-10, 2003, 2003)

Optimum and suboptimum CDMA detectors: Near-far resistance under multipath - Xiaodong Yue; H. Howard Fan (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2002, May 13-17 2002, Orlando, Florida, USA, 2002)