001-2005 南京航空航天大学，计算机科学与技术，本科； 2005-2007 南京航空航天大学，计算机科学与技术，硕士； 2007-2011 南京航空航天大学，计算机科学与技术，博士；

2010-至今：         南京信息工程大学计算机与软件学院，教授

近年来主要承担的科研项目2016.1-2019.122016.1-2019.12 针对来自众包的大数据支持向量机研究，国家自然科学基金面上项目，主持2013.1-2015.122013.1-2015.12 精确的增量式支持向量机的研究，国家自然科学基金青年项目，主持．2012.2-2013.122012.2-2013.12 精确的增量式支持向量机的研究与应用,南京信息工程大学科研启动基金，主持.2007.9－2008.7 基于服务架构的民航公众信息服务平台，国家863重点课题，参与.代表性科研成果发表多篇机器学习领域SCI一区

期刊论文(如IEEE Transactions on Pattern Analysis and Machine Intelligence， IEEE Transactions on Neural Networks and Learning Systems)，机器学习顶级会议（NIPS, ICML），数据挖掘顶级会议（KDD）人工智能顶级会议（AAAI，IJCAI）论文800x600 [49]Wanli Shi,Xiang Li, Bin Gu. Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization. AAAI 2020.(accepted)[48]Zhou Zhai,Xiang Li, Bin Gu. Safe Sample Screening for Robust Support Vector Machine. AAAI 2020.(accepted)[47]Runxue Bao, Bin Gu, Heng Huang. Efficient Approximate Solution Path Algorithm for Order Weight L_1-Norm with Accuracy Guarantee. ICDM 2019.[46]Bin Gu, Xiang Geng, Xiang Li, Guansheng Zheng. Efficient Inexact Proximal Gradient Algorithms for Structured Sparsity-Inducing Norm. Neural Networks. (accepted) (SCI一区)[45]Bin Gu, Wenhan Xian, Heng Huang.Asynchronous Stochastic Frank-Wolfe Algorithms for Non-convex Optimization.IJCAI 2019.(CCF A类) [44]Xiang Geng, Bin Gu, Xiang Li, Wanli Shi, Guansheng Zheng, Heng Huang. Scalable Semi-Supervised SVM via Triply Stochastic Gradients.IJCAI 2019.(CCF A类) [43]Wanli Shi, Bin Gu, Xiang Li, Xiang Geng, Heng Huang. Quadruply Stochastic Gradients for Large-Scale Nonlinear Semi-Supervised AUC Optimization. IJCAI 2019.(CCF A类) [42]Shuyang Yu, Bin Gu, Kunpeng Ning, Haiyan Chen, Jian Pei and Heng Huang. Tackle Balancing Constraint for Incremental Semi-Supervised Support Vector Learning. KDD 2019.(CCF A类) [41]Bin Gu, Yingying Shan，Xin Quan, Guansheng Zheng. Accelerating Sequential Minimal Optimization via Stochastic Sub-Gradient Descent. IEEE Transactions on Cybernetics. (accepted)(SCI一区)[40]Feihu Huang,Bin Gu, Zhouyuan Huo, Songcan Chen, Heng Huang. Faster Gradient-Free Proximal Stochastic Methods forNonconvex Nonsmooth Optimization. AAAI 2019. (CCF A类) [39]Bin Gu, Zhouyuan Huo, Heng Huang. Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy. AAAI 2019. (CCF A类) [38]Zhouyuan Huo, Bin Gu, Heng Huang Training Neural Networks Using Features Replay. NIPS 2018. (CCF A类) [37]Bin Gu, Xin Quan, Yunhua Gu, Victor S. Sheng, Guansheng Zheng. Chunk Incremental Learning for Cost-Sensitive Hinge Loss Support Vector Machine. Pattern Recognition. (accepted) (SCI二区)[36]Bin Gu, Zhouyuan Huo, Heng Huang. Faster Derivative-Free Stochastic Algorithm for Shared Memory Machines. ICML 2018. (CCF A类) [35]Zhouyuan Huo, BinGu, QianYang, Heng Huang. Decoupled Parallel Backpropagation with Convergence Guarantee. ICML 2018. (CCF A类) [34]Bin Gu, Xiao-Tong Yuan, Songcan Chen, Heng Huang. New Incremental Learning Algorithm for Semi-Supervised Support Vector Machine. KDD 2018. (CCF A类)[33]Bin Gu, Xingwang Ju, Xiang Li, Guansheng Zheng, Heng Huang. Faster Training Algorithms for Structured Sparsity-Inducing Norm. IJCAI 2018 . (accepted) (CCF A类)[32]Bin Gu, Yingying Shan, Xiang Geng, Guansheng Zheng, Heng Huang. Accelerated Asynchronous Greedy Coordinate Descent Algorithm for SVMs. IJCAI 2018 . (accepted) (CCF A类)[31]Bin Gu, Zhouyuan Huo, Heng Huang. Asynchronous Doubly Stochastic Group Regularized Learning. AISTATS 2018. (accepted)[30]Bin Gu, Victor S. Sheng. A Solution Path Algorithm for General Parametric Quadratic Programming Problem. IEEE Transactions on Neural Networks and Learning Systems.(accepted) (SCI一区)[29]Bin Gu. A Regularization Path Algorithm for Support Vector Ordinal Regression. Neural Networks, accepted. (SCI一区)[28]Xiang Li, Huaimin Wang, Bin Gu, Charles X Ling. The convergence of linear classifiers on large sparse data. Neurocomputing, 2017 (SCI二区)[27]Bin Gu, De Wang, Zhouyuan Huo, Heng Huang. Inexact Proximal Gradient Methods for Non-convex and Non-smooth Optimization.AAAI 2018, accepted. (CCF A类)[26]Zhouyuan Huo, Bin Gu, Heng Huang. Accelerated Method for Stochastic Composition Optimization with Nonsmooth Regularization, AAAI 2018, accepted (CCF A类)[25]Bin Gu, Xin Miao, Zhouyuan Huo, Heng Huang. Asynchronous Doubly Stochastic Sparse Kernel Learning, AAAI 2018, accepted (CCF A类)[24]Bin Gu, Guodong Liu, Heng Huang. Groups-Keeping Solution Path Algorithm for Sparse Regression with Automatic Feature Grouping. KDD 2017. (Oral Presentation, CCF A类)[23]Xiang Li, Bin Gu, Shuang Ao, Huaiming Wang, Charles X. Ling. Triply Stochastic Gradients on Multiple Kernel Learning, UAI 2017 (CCF B类).[22]Victor Sheng, Jing Zhang, Bin Gu, Xindong Wu. Majority Voting and Pairing with Multiple Noisy Labeling. IEEE Transactions on Knowledge and Data Engineering. 2017. (CCF A类)[21]Bin Gu, Victor S. Sheng, Keng Yeow Tay, Walter Romano, and Shuo Li. Cross Validation Through Two-dimensional Solution Surface for Cost-Sensitive SVM. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2017. (CCF A类, SCI一区)[20]Bin Gu, Xinming Su, Victor S. Sheng Structural Minimax Probability Machine. IEEE Transactions on Neural Networks and Learning Systems. 2017 (SCI一区)[19]Bin Gu, Victor S. Sheng. A Robust Regularization Path Algorithm for ν-Support Vector Classification. IEEE Transactions on Neural Networks and Learning Systems. 2017 (SCI一区)[18]Bin Gu, Yingying Shan, Victor S. Sheng, and Shuo Li. Sparse Regression with Output Correlation for Cardiac Ejection Fraction Estimation. Information Sciences.2017. (SCI二区)[17]Bin Gu, and Charles Ling. "A New Generalized Error Path Algorithm for Model Selection."Proceedings of the 32nd International Conference on Machine Learning (ICML-15). 2015. (CCF A类)[16]Bin Gu, Victor S. Sheng, and Shuo Li. Bi-parameter space partition for cost-sensitive SVM. In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2015, Buenos Aires, Argentina, July 25-31, 2015, pages 3532–3539, 2015. (CCF A类)[15]Xiang Li,Huaiming Wang,Bin Gu, Charles X. Ling. Data Sparseness in Linear SVM. IJCAI 2015:3628-3634. (CCF A类)[14]Bin Gu, Victor S. Sheng, Keng Yeow Tay, Walter Romano, and Shuo Li. Incremental Learning for ν-Support Vector Regression. Neural Networks. 67 (2015): 140-150. (SCI一区)[13]Bin Gu, Victor S. Sheng, Keng Yeow Tay, Walter Romano, and Shuo Li. Incremental Support Vector Learning for OrdinalRegression. IEEE Transactions on Neural Networks and Learning Systems,26(7), pp. 1403 - 1416, 2015. (SCI一区)[12]Wang, Z.; Salah, M.B.;Gu, B.; Islam, A.; Goela, A.; Li, S., "Direct Estimation of Cardiac Biventricular Volumes With an Adapted Bayesian Formulation," Biomedical Engineering, IEEE Transactions on , vol.61, no.4, pp.1251-1260, 2014. (SCI二区)[11]Victor S. Sheng,Bin Gu, Wei Fang, Jian Wu, Cost-sensitive learning for defect escalation, Knowledge-Based Systems, Volume 66, August 2014, Pages 146-155, (SCI二区)[10]Bin Gu, Victor S. Sheng. Feasibility and Finite Convergence Analysis for Accurate On-line ν-Support Vector Learning. IEEE Transactions on Neural Networks and Learning Systems, 24(8):1304-1315, 2013. (SCI一区)[9]Bin Gu, Jian-Dong Wang, Guan-Sheng Zheng, Yue-Cheng Yu. Regularization Path for ν-Support Vector Classification. IEEE Transactions on Neural Networks and Learning Systems, 23(5): 800-811,2012. (SCI一区)[8]Bin Gu, Jian-Dong Wang, Yue-Cheng Yu, Guan-Sheng Zheng, Yu-Fan Huang, and Tao Xu. Accurate on-line ν-support vector learning. Neural Networks, 27(0):51–59, 2012. (SCI一区)Normal07.8 磅02falsefalsefalseEN-USZH-CNX-NONEMicrosoftInternetExplorer4/* Style Definitions */table.MsoNormalTable{mso-style-name:普通表格;mso-tstyle-rowband-size:0;mso-tstyle-colband-size:0;mso-style-noshow:yes;mso-style-priority:99;mso-style-parent:"";mso-padding-alt:0cm 5.4pt 0cm 5.4pt;mso-para-margin:0cm;mso-para-margin-bottom:.0001pt;mso-pagination:widow-orphan;font-size:10.0pt;font-family:"Times New Roman",serif;}[7]顾彬，王建东．有效的ν支持向量回归机的ν解路径算法．软件学报，23(10): 2643−2654，2012.[6]顾彬，郑关胜，王建东. 增量和减量式标准支持向量机的分析. 软件学报, 24(7):1601-1613, 2013.[5]Bin Gu, Jian-Dong Wang, and Tao Li. Ordinal-Class Core Vector Machine，Journal of Computer Science and Technology. 2010, 25(4): 699-708.[4]Bin Gu, Jian-Dong Wang, and Hai-yan Chen. On-line Off-line Ranking Support Vector Machine and Analysis. In Proceedings of International Joint Conference on Neural Networks (IJCNN’08), New York: IEEE Press, 2008.[3]顾彬，王建东. 一种新颖的QAR数据特征提取方法. 四川大学学报（工程科学版），2011，3（43）：113-117.[2]顾彬，王建东．一类孤立因子阈值的计算方法．小型微型计算机系统，2008，29 (12）：2254-2257.[1]徐涛，丁建立，顾彬，王建东. 基于增量式排列支持向量机的机场航班延误预警，航空学报，2009，30(7): 1256-1263.更多信息请见https://sites.google.com/site/jsgubin/