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2020 – today
- 2025
[j60]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)- 2024
- [j59]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) - [j58]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) - [j57]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) - [j56]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) - [j55]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) - [j54]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) - [c51]Zhaoyi Li, Zihao Li, Xiaodong Yue:
Cross-Weighting Knowledge Distillation for Object Detection. IJCRS (1) 2024: 285-299 - 2023
- [j53]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) - [j52]Weiping Ding, Javier Andréu Pérez, Yiu-ming Cheung, Swagatam Das, Xiaodong Yue, Dariusz Mrozek:
Special issue on fuzzy systems for biomedical science in healthcare. Appl. Soft Comput. 132: 109834 (2023) - [j51]Zhunga Liu, Frédéric Pichon, Xiaodong Yue:
Special issue from the 6th International Conference on Belief Functions (BELIEF 2021). Int. J. Approx. Reason. 152: 282-283 (2023) - [j50]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) - [c50]Wei Liu, Yufei Chen, Xiaodong Yue, Changqing Zhang, Shaorong Xie:
Safe Multi-View Deep Classification. AAAI 2023: 8870-8878 - [c49]Zhikang Xu, Xiaodong Yue, Ying Lv, Wei Liu, Zihao Li:
Trusted Fine-Grained Image Classification through Hierarchical Evidence Fusion. AAAI 2023: 10657-10665 - [c48]Xiaoyu Yang, Yufei Chen, Xiaodong Yue, Shaoxun Xu, Chao Ma:
T-distributed Spherical Feature Representation for Imbalanced Classification. AAAI 2023: 10825-10833 - [c47]Zhikang Xu, Xiaodong Yue, Bofeng Zhang, Ying Lv, Zhipeng Wei:
Trusted Fine-grained Medical Image Classification through Multiple Evidence Fusion. BIBM 2023: 949-952 - [c46]Yudi Dong, Xiaodong Yue, Zhikang Xu, Shaorong Xie:
Correlation and Foreground Attention to Improve Object Detection. ICIP 2023: 3150-3154 - [c45]Linye Li, Xiaodong Yue, Zhikang Xu, Shaorong Xie:
Multi-Dimensional Pruned Sparse Convolution for Efficient 3D Object Detection. ICIP 2023: 3190-3194 - [c44]Jinxin Zhan, Xiaodong Yue, Zihao Li, Kai Han:
Accelerating Deep Reinforcement Learning with Fuzzy Logic Rules. IEA/AIE (2) 2023: 261-272 - [c43]Kai Han, Xiaodong Yue, Wei Liu, Jinxin Zhan:
Deep Determinantal Q-Learning with Role Aware. IEA/AIE (2) 2023: 286-297 - [c42]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
- [j49]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) - [j48]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) - [j47]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) - [j46]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) - [j45]Shaoxun Xu, Yufei Chen, Chao Ma, Xiaodong Yue:
Deep evidential fusion network for medical image classification. Int. J. Approx. Reason. 150: 188-198 (2022) - [j44]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) - [j43]Xiaodong Yue, S. W. Liu, Q. Qian, Duo-Qian Miao, Can Gao:
Semi-supervised shadowed sets for three-way classification on partial labeled data. Inf. Sci. 607: 1372-1390 (2022) - [j42]Xiaodong Yue, Madhushanka Rukshani Liyanaarachchi, Kenji Shimazoe, Kenichiro Ogane, Hiroyuki Takahashi, Miwako Takahashi, Kazuaki Hara, Etsuko Kobayashi, Ichiro Sakuma:
Design of a Flat Panel Detector for the PET-Laparoscope System Using Simulations. J. Medical Robotics Res. 7(1): 2241001:1-2241001:8 (2022) - [j41]Zhikang Xu, Bofeng Zhang, Deyu Li, Xiaodong Yue:
Hierarchical multilabel classification by exploiting label correlations. Int. J. Mach. Learn. Cybern. 13(1): 115-131 (2022) - [j40]Yachao Rong, Ning-Xuan Chen, Jiarui Dong, Qi Li, Xiaodong Yue, Li Hu, Ping Wei:
Expectations of immediate and delayed reward differentially affect cognitive task performance. NeuroImage 262: 119582 (2022) - [c41]Wei Liu, Xiaodong Yue, Yufei Chen, Thierry Denoeux:
Trusted Multi-View Deep Learning with Opinion Aggregation. AAAI 2022: 7585-7593 - [c40]Ying Lv, Xiaodong Yue, Zhikang Xu, Yufei Chen, Zihao Li:
Selecting Reliable Instances from ImageNet for Medical Image Domain Adaptation. BIBM 2022: 503-508 - [c39]Haijie Fu, Xiaodong Yue, Wei Liu, Thierry Denoeux:
Stable Clustering Ensemble Based on Evidence Theory. ICIP 2022: 2046-2050 - [c38]Yuan Zhou, Xiaodong Yue, Yufei Chen, Chao Ma, Ke Jiang:
Convolutional Redistribution Network for Multi-view Medical Image Diagnosis. CLIP@MICCAI 2022: 54-61 - [c37]Xiao Huang, Xiaodong Yue, Zhikang Xu, Yufei Chen:
Harnessing Deep Bladder Tumor Segmentation with Logical Clinical Knowledge. MICCAI (4) 2022: 725-735 - [c36]Qian Wu, Yufei Chen, Ning Huang, Xiaodong Yue:
Weakly-supervised Cerebrovascular Segmentation Network with Shape Prior and Model Indicator. ICMR 2022: 668-676 - [c35]Qi Hang, Zihao Li, Yudi Dong, Xiaodong Yue:
Uncertainty-Aware Deep Open-Set Object Detection. IJCRS 2022: 161-175 - [c34]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
- [j39]Xiaodong Yue, Cheng Zhang, Hamido Fujita, Ying Lv:
Clothing fashion style recognition with design issue graph. Appl. Intell. 51(6): 3548-3560 (2021) - [j38]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) - [j37]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) - [j36]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) - [j35]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) - [c33]Ying Lv, Bofeng Zhang, Xiaodong Yue, Zhikang Xu, Wei Liu:
Ensemble of Adapters for Transfer Learning Based on Evidence Theory. BELIEF 2021: 66-75 - [c32]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 - [c31]Shaoxun Xu, Yufei Chen, Chao Ma, Xiaodong Yue:
Deep Evidential Fusion Network for Image Classification. BELIEF 2021: 185-193 - [c30]Xiaoqian Zhou, Xiaodong Yue, Zhikang Xu, Thierry Denoeux, Yufei Chen:
Deep Neural Networks with Prior Evidence for Bladder Cancer Staging. BIBM 2021: 1221-1226 - [c29]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 - [c28]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
- [j34]Jie Zhou, Zhihui Lai, Duoqian Miao, Can Gao, Xiaodong Yue:
Multigranulation rough-fuzzy clustering based on shadowed sets. Inf. Sci. 507: 553-573 (2020) - [j33]Jin Qian, Caihui Liu, Duoqian Miao, Xiaodong Yue:
Sequential three-way decisions via multi-granularity. Inf. Sci. 507: 606-629 (2020) - [j32]Xiao-Dong Yue, Yu-Fei Chen, Duoqian Miao, Hamido Fujita:
Fuzzy neighborhood covering for three-way classification. Inf. Sci. 507: 795-808 (2020) - [j31]Xiaodong Yue, Xiao Xiao, Yufei Chen, Jin Qian:
Robust Neighborhood Covering Reduction with Determinantal Point Process sampling. Knowl. Based Syst. 188 (2020) - [j30]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) - [c27]Cheng Zhang, Xiaodong Yue, Yufei Chen, Ying Lv:
Integrating Diagnosis Rules into Deep Neural Networks for Bladder Cancer Staging. CIKM 2020: 2301-2304 - [c26]Wei Liu, Xiaodong Yue, Caiming Zhong, Jie Zhou:
Clustering Ensemble Selection with Analytic Hierarchy Process. ICONIP (4) 2020: 41-49 - [c25]Bin Yuan, Xiaodong Yue, Ying Lv, Thierry Denoeux:
Evidential Deep Neural Networks for Uncertain Data Classification. KSEM (2) 2020: 427-437
2010 – 2019
- 2019
- [j29]Jin Qian, Caihui Liu, Xiaodong Yue:
Multigranulation sequential three-way decisions based on multiple thresholds. Int. J. Approx. Reason. 105: 396-416 (2019) - [j28]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) - [j27]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) - [j26]Tianyou Yu, Nan Zhang, Xiaodong Yue, Xiangrong Tong, Heqing Kong:
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 46(10): 242-251 (2019) - [j25]Caiming Zhong, Lianyu Hu, Xiaodong Yue, Ting Luo, Qiang Fu, Haiyong Xu:
Ensemble clustering based on evidence extracted from the co-association matrix. Pattern Recognit. 92: 93-106 (2019) - [c24]Xuxia Zhang, Xiaodong Yue, Zhikang Xu:
Efficient Attribute Reduction with Submodular Function Optimization. ICDM Workshops 2019: 681-688 - [c23]Wei Liu, Xiaodong Yue, Caiming Zhong, Jie Zhou:
Clustering Ensemble Selection with Determinantal Point Processes. ICONIP (3) 2019: 621-633 - [c22]Haiyan Zheng, Yufei Chen, Xiaodong Yue, Chao Ma:
Deep Interactive Segmentation of Uncertain Regions with Shadowed Sets. ISICDM 2019: 244-248 - 2018
- [j24]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) - [j23]Caiming Zhong, Ting Luo, Xiaodong Yue:
Cluster Ensemble Based on Iteratively Refined Co-Association Matrix. IEEE Access 6: 69210-69223 (2018) - [j22]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) - [j21]Jin Qian, Min Xia, Xiaodong Yue:
Parallel knowledge acquisition algorithms for big data using MapReduce. Int. J. Mach. Learn. Cybern. 9(6): 1007-1021 (2018) - [c21]Meiqian Wang, Xiaodong Yue, Can Gao, Yufei Chen:
Feature Selection Ensemble for Symbolic Data Classification with AHP. ICPR 2018: 868-873 - 2017
- [j20]Yingchun Ren, Yufei Chen, Xiaodong Yue:
Supervised Sparsity Preserving Projections for Face Recognition. Comput. Informatics 36(4): 815-836 (2017) - [j19]Xiaodong Yue, Yufei Chen, Duoqian Miao, Jin Qian:
Tri-partition neighborhood covering reduction for robust classification. Int. J. Approx. Reason. 83: 371-384 (2017) - [j18]Jin Qian, Chuangyin Dang, Xiaodong Yue, Nan Zhang:
Attribute reduction for sequential three-way decisions under dynamic granulation. Int. J. Approx. Reason. 85: 196-216 (2017) - [j17]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) - [j16]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) - [c20]Wei Xu, Xiaodong Yue, Yufei Chen, Marek Z. Reformat:
Ensemble of active contour based image segmentation. ICIP 2017: 86-90 - [c19]Qiang Chen, Xiaodong Yue, Jie Zhou, Yufei Chen:
Efficient Neighborhood Covering Reduction with Submodular Function Optimization. ICONIP (1) 2017: 505-514 - 2016
- [j15]Ping Lv, Jin Qian, Xiaodong Yue:
Incremental attribute reduction algorithm for big data using MapReduce. J. Comput. Methods Sci. Eng. 16(3): 641-652 (2016) - [c18]Wei Huang, Xiaodong Yue, Caiming Zhong, Nan Zhang:
Rough Neighborhood Covering Reduction for robust classification. ICPR 2016: 3308-3313 - 2015
- [j14]Jin Qian, Ping Lv, Xiaodong Yue, Caihui Liu, Zhengjun Jing:
Hierarchical attribute reduction algorithms for big data using MapReduce. Knowl. Based Syst. 73: 18-31 (2015) - [j13]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) - [j12]Caiming Zhong, Xiaodong Yue, Zehua Zhang, Jingsheng Lei:
A clustering ensemble: Two-level-refined co-association matrix with path-based transformation. Pattern Recognit. 48(8): 2699-2709 (2015) - [j11]Caiming Zhong, Xiaodong Yue, Jingsheng Lei:
Visual hierarchical cluster structure: A refined co-association matrix based visual assessment of cluster tendency. Pattern Recognit. Lett. 59: 48-55 (2015) - [j10]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) - [c17]Xiaodong Yue, Longbing Cao, Yufei Chen, Bin Xu:
Multi-View Actionable Patterns for Managing Traffic Bottleneck. AAAI Workshop: AI for Transportation 2015 - [c16]Jorge David Destephen Lavaire, Anshuman Singh, Mahmoud Yousef, Sumi Singh, Xiaodong Yue:
Dimensional scalability of supervised and unsupervised concept drift detection: An empirical study. IEEE BigData 2015: 2212-2218 - 2014
- [j9]Jin Qian, Duoqian Miao, Zehua Zhang, Xiaodong Yue:
Parallel attribute reduction algorithms using MapReduce. Inf. Sci. 279: 671-690 (2014) - [j8]Jiaofei Zhong, Weili Wu, Xiaofeng Gao, Yan Shi, Xiaodong Yue:
Evaluation and comparison of various indexing schemes in single-channel broadcast communication environment. Knowl. Inf. Syst. 40(2): 375-409 (2014) - [j7]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) - [c15]Jianxing Zheng, Bofeng Zhang, Guobing Zou, Xiaodong Yue:
Diversification recommendation of popular articles in micro-blog scenario. DSAA 2014: 456-462 - [c14]Nan Zhang, Xiaodong Yue:
Knowledge Granulation in Interval-Valued Information Systems Based on Maximal Consistent Blocks. RSKT 2014: 49-58 - [c13]Wei Zhang, Duoqian Miao, Can Gao, Xiaodong Yue:
Co-training Based Attribute Reduction for Partially Labeled Data. RSKT 2014: 77-88 - [c12]Jin Qian, Ping Lv, Qingjun Guo, Xiaodong Yue:
Attribute Reduction in Decision-Theoretic Rough Set Model Using MapReduce. RSKT 2014: 601-612 - 2013
- [c11]Xiaodong Yue, Duoqian Miao, Yue Wu, Caiming Zhong, Yufei Chen:
Scale selection in roughness based color quantization. GrC 2013: 412-417 - [c10]Baosheng Yin, Xiaodong Yue, Dongfeng Cai, Guiping Zhang:
Analysis and Evaluation of Terminology Translation Consistency in Scientific and Technical Literature. IALP 2013: 83-86 - [c9]Jiaofei Zhong, Zheng Gao, Weili Wu, Weidong Chen, Xiaofeng Gao, Xiaodong Yue:
High performance energy efficient multi-channel wireless data broadcasting system. WCNC 2013: 4346-4351 - 2012
- [j6]Xiaodong Yue, Duoqian Miao, N. Zhang, L. B. Cao, Qiang Wu:
Multiscale roughness measure for color image segmentation. Inf. Sci. 216: 93-112 (2012) - [c8]Xiaodong Yue, Songlin Tian, Xuefu Zhou:
A blind linear smoothing method for OFDM systems without cyclic prefix. ACSCC 2012: 133-137 - 2011
- [c7]Xiaodong Yue, Xuefu Zhou:
Blind channel estimation for CP-free OFDM communications systems. FSKD 2011: 2254-2257 - [c6]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
- [j5]Xiaodong Yue, Duoqian Miao:
Rough Geometry and Its Applications in Character Recognition. Trans. Rough Sets 10: 136-156 (2009) - [c5]Duoqian Miao, Nan Zhang, Xiaodong Yue:
Knowledge reduction in interval-valued information systems. IEEE ICCI 2009: 320-327 - 2005
- [j4]Xiaodong Yue, H. Howard Fan:
Near-far resistance of optimum and suboptimum CDMA detectors under multipath. IEEE Trans. Signal Process. 53(8-1): 2898-2917 (2005) - 2004
- [j3]Xiaodong Yue, H. Howard Fan:
Near-far resistance of Alamouti space-time coded CDMA communication systems. Signal Process. 84(3): 669-674 (2004) - [j2]Xiaodong Yue, H. Howard Fan:
Near-far resistance of multicarrier CDMA communication systems. IEEE Signal Process. Lett. 11(2): 212-215 (2004) - [c4]Xiaodong Yue, H. Howard Fan:
Near-far resistance of CDMA communication systems with spatial diversity. ICASSP (4) 2004: 965-968 - [c3]Xiaodong Yue, H. Howard Fan:
Linear smoothing method for blind equalization of OFDM systems without cyclic prefix. WCNC 2004: 2313-2316 - 2003
- [j1]Xiaodong Yue:
Near-far resistant detection of CDMA signals in dispersive channels. Signal Process. 83(9): 2053-2057 (2003) - [c2]Xiaodong Yue, H. Howard Fan:
A linear smoothing method for enhancing near-far resistance of CDMA detectors. ICASSP (4) 2003: 449-452 - 2002
- [c1]Xiaodong Yue, H. Howard Fan:
Optimum and suboptimum CDMA detectors: Near-far resistance under multipath. ICASSP 2002: 2601-2604
Coauthor Index