| 代表论著： |
发表SCI论文31篇（一作15篇，影响因子IF>4.0论文9篇），EI论文10篇，被引用300+，最高单篇被引80+ Book Chapter
[1] Xiaobo Chen, Jian Yang. Graph Embedded Total Margin Twin Support Vector Machine and Its Applications, In D. Liu et al eds. Frontiers of Intelligent Control and Information Processing (2014)
Journal Papers
[2] Xiaobo Chen, Zhongjie Wei, Zuoyong Li, Jun Liang, Yingfeng Cai. Ensemble Correlation-based Low-rank Matrix Completion with Application to Traffic Data Imputation, Knowledge-Based Systems, 132 249-262, 2017 (SCI IF:4.529)
[3] Xiaobo Chen, Zhongjie Wei, Xiang Liu, Yingfeng Cai, Zuoyong Li, Feng Zhao. Spatiotemporal Variable and Parameter Selection Using Sparse Hybrid Genetic Algorithm for Traffic Flow Forecasting, International Journal of Distributed Sensor Networks, 13(6):1-14, 2017 (SCI IF:1.239)
[4] Xiaobo Chen, Han Zhang, Dinggang Shen. Hierarchical High-Order Functional Connectivity Networks and Selective Feature Fusion for MCI Classification, Neuroinformatics 15(3):271-284, 2017 (SCI IF:3.2)
[5] Xiaobo Chen, Han Zhang, Lichi Zhang, Celina Shen, Seong-Whan Lee, Dinggang Shen. Extraction of dynamic functional connectivity from brain grey matter and white matter for MCI classification, Human Brain Mapping doi: 10.1002/hbm.23711, 2017 (SCI IF:4.53)
[6] Xiao-bo CHEN, Xiang LIU, Zhong-jie WEI, Jun Liang, Ying-feng CAI, Long Chen. Short-term Traffic Flow Forecasting of Road Network Based on GA-LSSVR Model, Journal of Transportation Systems Engineering and Information Technology 17(1):60-66, 2017 (EI)
[7] Lichi Zhang, Han Zhang, Xiaobo Chen, Qian Wang, Pew-Thian Yap, Dinggang Shen. Learning-Based Structurally-Guided Construction of Resting-State Functional Correlation Tensors, Magnetic Resonance Imaging DOI: http://dx.doi.org/10.1016/j.mri.2017.07.008 (SCI IF:2.225)
[8] Yu Zhang, Han Zhang, Xiaobo Chen, Seong-Whan Lee, Dinggang Shen. Hybrid High-order Functional Connectivity Networks Using Resting-state Functional MRI for Mild Cognitive Impairment Diagnosis, Scientific Reports 7, Article number: 6530 (2017) (SCI IF:4.259)
[9] Han Zhang, Xiaobo Chen, Yu Zhang, Dinggang Shen. Test-retest reliability of “high-order” functional connectivity in young healthy adults, Frontiers in Neuroscience, doi: 10.3389/fnins.2017.00439 2017 (SCI IF:3.566)
[10] Renping Yu, Han Zhang, Le An, Xiaobo Chen, Zhihui Wei, Dinggang Shen. Connectivity strength-weighted sparse group representation-based brain network construction for MCI classification, Human Brain Mapping 38(5):2370-2383, 2017(SCI IF:4.53)
[11] Xiao-jun Chen, Jia Ke, Yong-zhao Zhan, Xiao-bo Chen, et al. Improved combined invariant moment for moving targets classification, Multimedia Tools and Applications (To appear，SCI IF:1.530)
[12] Xiaobo Chen, Han Zhang, Yue Gao, Chong-Yaw Wee, Gang Li, Dinggang Shen. High-Order Resting-State Functional Connectivity Network for MCI Classification, Human Brain Mapping,37(9):3282-96, 2016 (SCI IF:4.53)
[13] Jun Liang, Fei-yun Zhang, Xiao-xia Xiong, Xiao-bo Chen, Long Chen, Guo-hui Lan. Manifold Regularized Proximal Support Vector Machine via Generalized Eigenvalue, International Journal of Computational Intelligence Systems, 9(6):1041-1054, 2016 (SCI IF:0.391)
[14] Hai Wang, Yingfeng Cai, Xiaobo Chen, Long Chen. Night-Time Vehicle Sensing in Far Infrared Image with Deep Learning, Journal of Sensors, 2016 (SCI IF:1.704)
[15] Hai Wang, Yingfeng Cai, Xiaobo Chen, Long Chen. Occluded vehicle detection with local connected deep model, Multimedia Tools and Applications, 75(15):9277–9293, 2016 (SCI IF:1.530)
[16] Yingfeng Cai, Hai Wang, Xiaobo Chen, Long Chen. Multilevel Framework to Handle Object Occlusions for Real-time Tracking, IET Image Processing 10(11): 885 – 892, 2016 (SCI IF:1.044)
[17] Han Zhang, Xiaobo Chen, Feng Shi, Gang Li, Min-jeong Kim, Panteleimon Giannakopoulos, Sven Haller, Dinggang Shen. Topographic Information based High-Order Functional Connectivity and its Application in Abnormality Detection for Mild Cognitive Impairment, Journal of Alzheimer's Disease, 54(3):1095-1112, 2016 (SCI IF:3.731)
[18] Xiaobo Chen, Yingfeng Cai, Long Chen, Zuoyong Li. Discriminant Feature Extraction for Image Recognition Using Complete Robust Maximum Margin Criterion, Machine Vision and Applications, 26(7): 857-870, 2015 (SCI IF:2.005)
[19] Zuoyong Li, Kezong Tang, Yong Cheng, Xiaobo Chen, Chongbo Zhou. Modified Adaptive Gaussian Filter for Removal of Salt and Pepper Noise, KSII Transactions on Internet and Information Systems, 9(8):2928-2947, 2015 (SCI IF:0.452)
[20] Yingfeng Cai, Hai Wang, Xiaobo Chen, Haobin Jiang. Trajectory Based Anomalous Behavior Detection for Intelligent Traffic Surveillance, IET Intelligent Transport Systems, 9(8): 810-816, 2015 (SCI IF:1.194)
[21] Xiao-jun Chen, Yong-zhao Zhan, Jia Ke, Xiao-bo Chen. Complex video event detection via pairwise fusion of trajectory and multi-label hypergraphs, Multimedia Tools and Applications, 75(22): 15079–15100, 2015 (SCI IF:1.530)
[22] Xiaobo Chen, Jian Yang, Long Chen. An Improved Robust and Sparse Twin Support Vector Regression via Linear Programming, Soft Computing, 18(12): 2335-2348, 2014 (SCI IF:2.472)
[23] Xiaobo Chen, Yan Xiao, Yinfeng Cai, Long Chen. Structural Max-Margin Discriminant Analysis for Feature Extraction, Knowledge-Based Systems, 70:154-166, 2014 (SCI IF:4.529)
[24] Xiaobo Chen, Jian Yang, David Zhang, Jun Liang. Complete Large Margin Linear Discriminant Analysis Using Mathematical Programming Approach, Pattern Recognition, 46(6):1579-1594, 2013 (SCI IF:4.582)
[25] Xiaobo Chen, Jian Yang et al. Regularized Least Squares Fisher Linear Discriminant with Applications to Image Recognition, Neurocomputing, 122(25):521-534, 2013 (SCI IF:3.317)
[26] Xiaobo Chen, Jian Yang, Jun Liang, Qiaolin Ye, Recursive Robust Least Squares Support Vector Regression based on Maximum Correntropy Criterion, Neurocomputing, 97: 63-73, 2012 (SCI IF: 3.317)
[27] Q.L. Ye, C.X. Zhao, H.F. Zhang, X.B. Chen, Recursive “Concave-Convex” Fisher Linear Discriminant with Applications to Face, Handwritten Digit and Terrain Recognition, Pattern Recognition, 45(1): 54-65, 2012 (SCI IF:4.582)
[28] Xiaobo Chen, Jian Yang, Jun Liang, A Flexible Support Vector Machine for Regression, Neural Computing and Applications, 21(8): 2005-2013, 2012 (SCI IF:2.505)
[29] Xiaobo Chen, Jian Yang, Jun Liang, Qiaolin Ye, Smooth twin support vector regression, Neural Computing and Applications, 21(3): 505-513, 2012 (SCI IF:2.505)
[30] Jun Liang, Long Chen, Xiaobo Chen* Discriminant Kernel Learning Using Hybrid Regularization, Neural Processing Letters, 36(3): 257-273, 2012 (SCI IF:1.62)
[31] Qiaolin Ye, Chunxia Zhao, Ning Ye, Hao Zheng, Xiaobo Chen: A feature selection method for nonparallel plane support vector machine classification, Optimization Methods and Software, 27(3): 431-443, 2012 (SCI IF:1.023)
[32] Xiaobo Chen, Jian Yang, Qiaolin Ye, Jun Liang, Recursive Projection Twin Support Vector Machine via Within-Class Variance Minimization, Pattern Recognition, 44(10-11): 2643-2655, 2011 (SCI IF:4.582)
[33] Q. Ye, C. Zhao, N. Ye, X. Chen: Localized twin SVM via convex minimization, Neurocomputing, 74(4): 580-587, 2011 (SCI IF:3.317)
[34] Xiaobo Chen, Jian Yang, Jun Liang, Optimal Locality Regularized Least Squares Support Vector Machine via Alternating Optimization, Neural Processing Letters, 33(3): 301-315, 2011 (SCI IF:1.62)
[35] Xiaobo Chen, Jian Yang, Optimal Locality Preserving Least Square Support Vector Machine, Frontiers of Electrical and Electronic Engineering in China, 6(2): 201-207, 2011
[36] Qiaolin Ye, Chunxia Zhao, Xiaobo Chen. A Feature Selection Method for TWSVM via a Regularization Technique, Journal of Computer Research and Development, 48(6): 1029-1037, 2011 (EI)
[37] J. Liang, L. Chen, X. Chen: The study of car rear-end warning model based on MAS and behaviour, International Journal of Computer Applications in Technology, 39(4): 207-212, 2010 (EI)
Conference Papers
[38] Xiaobo Chen, Han Zhang, Dinggang Shen. Ensemble Hierarchical High-Order Functional Connectivity Networks for MCI Classification, MICCAI , 2016
[39] Renping Yu, Han Zhang, Le An, Xiaobo Chen, Zhihui Wei, Dinggang Shen. Correlation-Weighted Sparse Group Representation for Brain Network Construction in MCI Classification, MICCAI , 2016
[40] Luyan Liu, Han Zhang, Islem Rekik, Xiaobo Chen, Qian Wang, Dinggang Shen. Outcome prediction for patients with high-grade cliomas from brain functional and structural networks, MICCAI, 2016
[41] Xi Yang, Yan Jin, Xiaobo Chen, Han Zhang, Gang Li, Dinggang Shen. Functional Connectivity Network Fusion with Dynamic Thresholding for MCI Diagnosis, Machine Learning in Medical Imaging. Lecture Notes in Computer Science, vol 10019. Springer, 2016
[42] Yingfeng Cai, Xiaobo Chen, Hai Wang, Long Chen. Deep representation and stereo vision based vehicle detection, IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems, 2015 (EI)
[43] Xiaobo Chen, Jian Yang. Improved Linear Discriminant Analysis with L1-norm for Robust Feature Extraction, 22nd International Conference on Pattern Recognition, 2014 (EI)
[44] Xiaobo Chen. Improved Twin Support Vector Machine Using Total Margin and Graph Embedded, in Proc. of 9th International Conference on Natural Computation, 2013 (EI)
[45] Xiaobo Chen, Jian Yang, Wankou Yang, Large Margin Null Space Discriminant Analysis with Applications to Face Recognition, in Proc. of 21st International Conference on Pattern Recognition, 2012 (Oral) (EI)
[46] Xiaobo Chen, Jian Yang, Jun Liang, Qiaolin Ye, Robust and Sparse Twin Support Vector Regression via Linear Programming, in Proc. of 4th Chinese Conference on Pattern Recognition, 2010 (Best student paper award) (EI)
[47] Xiaobo Chen, Jian Yang, Jun Liang, Qiaolin Ye, Support Vector Regression with Automatic Margin Control, in Proc. of 4th Chinese Conference on Pattern Recognition, 2010 (EI)
[48] Xiaobo Chen, Xianyi Cheng, Jun Liang. Image Segmentation Based on Inhomogeneous Markov Random Field and Dirichlet Process Mixture, in Proc. of 3rd International Conference on Innovative Computing Information and Control, 2008 (EI)
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