[陈小波]

个人简介： 姓名: 陈小波
性别: 男
出生日期: 1982年11月
职称: 副教授，博士生导师

教育经历： 博士（2009.9-2013.6），南京理工大学模式识别与智能系统国家重点学科
博士导师：杨健教授（国家****、IAPR Fellow）
博士论文题目：基于数学规划的支持向量学习与特征抽取方法研究
硕士（2004.9-2007.6），江苏大学模式识别与智能系统专业
学士（2000.9-2004.6），江苏大学计算机科学与技术专业
海外经历
博士后研究员（Postdoc）（2015.4-2017.8），美国北卡罗来纳大学教堂山分校（UNC-CH）BRIC实验室
合作导师：国际知名****Dinggang Shen教授
助理研究员（RA）（2011.2-2011.8），香港理工大学（HK PolyU）电子计算学系
导师：国际知名****David Zhang教授（IEEE Fellow, IAPR Fellow）

工作经历： 研究员（2020.6-至今），汽车工程研究院
副教授（2015.5-2020.5），汽车工程研究院
讲师（2013.7-2015.4），汽车工程研究院
讲师（2009.10-2013.6），计算机科学与通信工程学院
助教（2004.9-2009.9），计算机科学与通信工程学院
学术任职
担任第三届IEEE智慧城市国际会议(IEEE International Smart Cities Conference，ISC2 2017)技术委员会成员（Technical Program Committee, TPC）
10余个国际（SCI）期刊审稿人，如：
IEEE Transactions on Neural Networks and Learning Systems
IEEE Transactions on Circuits and Systems II: Express Briefs
IEEE Access
Neural Networks
Pattern Recognition
Information Sciences
Knowledge-Based Systems
Neurocomputing 等



研究方向： 【主讲课程】
模式识别、智能交通
【研究方向】
机器学习（大数据、深度学习等）理论与方法及在智能交通、图像分析中的应用
欢迎对人工智能、智能交通等前沿科技感兴趣的同学报考我的研究生，共创美好未来！

学术兼职：
科研项目： 1)国家自然科学基金(青年项目)，数据内在结构驱动的大间隔特征提取算法及其应用研究 (项目号：**；研究期限：2013/01-2015/12) (主持)
2)福建省信息处理与智能控制重点实验室开放课题，基于稀疏学习的智能交通数据恢复方法研究(项目号：MJUKF201724；研究期限：2017/01-2018/12) (主持)
3)江苏大学高级人才科研启动基金，大间隔特征提取理论与算法研究 (项目号：14JDG066；研究期限：2014/01-2017/12) (主持)
4)国家自然科学基金(面上项目)，编码先验约束的高维小样本数据处理方法的研究 (项目号：**；研究期限：2013/01-2016/12) (参与)
5)国家自然科学基金(青年项目)， 基于Multi-agent和驾驶行为的汽车追尾预警模型研究 (项目号：**；研究期限：2012/01-2014/12) (参与)
成果奖励： 1)中国智能交通协会科学技术奖二等奖，2016年
2)江苏大学“青年骨干教师培养工程”青年学术带头人培育人选，2014年
3)南京理工大学优秀博士学位论文，2013年
4)第四届全国模式识别大会(CCPR)最佳学生论文奖(Best student paper award)，中国自动化学会，2010年

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)


会议报告：


知识产权： 陈小波，梁军，江浩斌，陈龙，张飞云，肖艳， 基于稀疏多输出回归的交通事故建模与控制方法，ZLA
陈小波，梁军，陈龙，张飞云，李世浩，顾胜强，一种道路实时交通事故风险控制方法，ZLA
陈小波，梁军，陈龙，李世浩，张立，李傲雪，基于车联网的车辆抛锚智慧服务系统及方法，ZLA

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