徐婕：三级教授，2007年6月毕业于华中科技大学，获博士学位
研究方向：机器学习，计算机网络，大数据研究
1、工作、学习及学历情况
2016年7月-至今 湖北大学计算机与信息工程学院教授、硕士生导师
2014-07 至 2016-06, 湖北大学计算机与信息工程学院, 副教授、硕士生导师
2009-07 至 2014-06, 湖北大学, 数学与计算机科学学院, 副教授、硕士生导师
2004-07 至 2009-06, 湖北大学, 数学与计算机科学学院, 讲师
1998-07 至 2004-06, 湖北大学, 数学与计算机科学学院, 助教
2000-09 至 2007-06 华中科技大学计算机学院系统结构博士学位
1993-09 至 1997-06 湖北大学计算机及应用学士学位
2、研究兴趣
研究方向：机器学习 ，计算机网络，大数据研究
3、讲授课程情况
计算机网络、Linux系统与分析，Computer Architecture
4、主持科研项目情况
2015-01～2017-12大数据环境下基于选择性抽样的在线学习理论与算法研究
国家自然科学基金委主持人
2015-01～2016-12大数据环境下机器学习理论和算法研究
湖北省自然科学基金省部级主持人
2012-01～2014-12对等网络拓扑结构及高维搜索策略的研究
湖北省自然科学基金省部级主持人
2014-01～2017-12基于马氏抽样的机器学习理论及算法研究
国家自然科学基金委国家级排名3
2017-01~2020-12大数据环境下基于马氏重抽样的分布式集成学习的理论与算法
国家自然科学基金委国家级排名2
5、已发表的主要学术论文情况
[1]Bin Zou, Yuan Yan Tang, Zongben Xu, Luoqing Li,Jie Xu, Yang Lu. The generalization performance of regularized regression algorithms based on Markov sampling, IEEE Transactions on Cybernetics, 2014, 44(9):1497-1507. (Regular paper, SCI一区、通讯作者)
[2] Jie Xu, Yuan Yan Tang, Bin Zou, Zongben Xu, Luoqing Li, Yang Lu, Baochang Zhang. The Generalization Ability of SVM Classification based on Markov Sampling, IEEE Transactions on Cybernetics. 2015，26(3):628-639. (Regular paper, SCI一区)
[3]Jie Xu, Yuan Yan Tang, Bin Zou, Zongben Xu, Luoqing Li, Yang Lu. The Generalization Ability of Online SVM Classification Based on Markov Sampling, IEEE Transactions on Neural Networks and Learning Systems,2015, 45(6):1169-1179. (Regular paper, SCI一区)
[4]Jie Xu, Yuan Yan Tang, Bin Zou, Zongben Xu, Luoqing Li, Yang Lu. Generalization performance of Gaussian kernels SVMC based on Markov sampling, Neural Networks, 2014, 53: 40-51. (SCI一区)
[5] Bin Zou, Zongben Xu,Jie Xu, Generalization bounds of ERM algorithm with Markov chain samples, Acta Mathematicae Applicatae Sinica, 2014, 30(1): 223-238. (SCI四区、通讯作者)
[6] Bin Zou, Yuan Yan Tang, Luoqing Li, Jie Xu, New Bernstein's Inequality for Dependent Observations and Applications to Learning Theory,应用概率统计, 2014, 30(6):570-584.
[7] Bin Zou, Chen Xu, Yuan Yan Tang,Jie Xu, Xinge You, K-times Markov sampling for SVMC, IEEE Transactions on Neural Networks and Learning Systems, 2018, 29(4):1328-1341.(SCI一区、通讯作者)
[8]Jie Xu, Chen Xu, Bin Zou, Yuan Yan Tang, Xinge You, Jiangtao Peng, New incremental
learning algorithm with support vector machines, IEEE Transactions on Systems, Man and Cybernetics: Systems, 2019, 49(11): 2230-2241.(SCI一区)
[9] Weijian Chen, Chen Xu,Bin Zou, Huidong Jin,Jie Xu, Kernelized elastic net regularization based on Markov selective sampling, Knowledge-Based Systems, 2019, 163:57-68.(SCI一区、通讯作者)
[10] Hongwei Jiang, Bin Zou, Chen Xu,Jie Xu,Yuan Yan Tang, SVM-Boosting based on Markov resampling: theory and algorithm, Neural Networks, 2020, 131:276-290.(SCI一区)
[11] Jingjing Zeng, Yuze Duan, Desheng Wang, Bin Zou, Yue Yin,Jie Xu, Generalization performance of Lagrangian support vector machine based on Markov sampling, Journal of Statistical Planning and Inference, 2021, 214:89-104.(SCI四区)
[12] Yuze Duan, Bin Zou,Jie Xu,Fen Chen, Jiaolong Wei, Yuan Yan Tang, OAA-SVM-MS: A fast and efficient multiclass classification algorithm, Neurocomputing, 2021, 454:448-460.(SCI二区)
[13] Zhan Wang, Ting Liang, Bin Zou, Yaling Cai,Jie Xu, Xinge You, Incremental Fisher linear discriminant based on data denoising, Knowledge-Based Systems, 2022, 237:107799.(SCI一区、通讯作者)
[14] Zijie Dong, Yimo Qin, Bin Zou,Jie Xu, Yuan Yan Tang, LMSVCR: novel effective method of semi-supervised multi-classification, Neural Computing and Applications, 2022, 34:3857-3873.(SCI二区、通讯作者)
[15] Ting Liang,Jie Xu,Bin Zou, Zhan Wang, Jingjing Zeng, LDAMSS: Fast and efficient undersampling method for imbalanced learning, Applied Intelligence, 2022, 52: 6794-6811.(SCI二区、通讯作者)
[16] Bin Zou, Hongwei Jiang, Chen Xu,Jie Xu, Xinge You,Y. Tang, Learning performance of weighted distributed learning with support vector machines, IEEE Transactions on Cybernetics, 2023, 53(7):4630-4641.(SCI一区、通讯作者)
[17] ZijieDong, Chen Xu,Jie Xu, Bin Zou, Jingjing Zeng,Yuan Yan Tang,Generalization capacity of multi-class SVM based on Markovian resampling, Pattern Recognition, 2023, 142:109720.(SCI一区、通讯作者)
[18]ZaoQiu,JieXu,JiangtaoPeng and WeiweiSun. Cross-Channel Dynamic Spatial–Spectral Fusion Transformer for Hyperspectral Image Classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61:5528112.(SCI一区、通讯作者)
[19] Jiawen Gong,Bin Zou,Chen Xu,Jie Xu, Xinge You, Hybridlearning based on Fisher linear
Discriminant,Information Sciences,2024, 667:120465.(SCI一区、通讯作者)
[20]ZaoQiu,JieXu,JiangtaoPeng and WeiweiSun. Domain Fusion Contrastive Learning for Cross-Scene Hyperspectral Image Classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62:5501812.(SCI一区、通讯作者)
6、获奖情况
邹斌,徐婕, 李落清, 基于非独立同分布数据的机器学习理论和算法, 2020年度湖北
省自然科学二等奖(获奖证书编号:No.2020Z-040-2-010-008-R01).
7、授权专利情况
邹斌，姬玉龙，徐婕，彭江涛，少样本恶意软件的分类方法、装置、设备及介质，已通知授权.
联系方式：frangipani@hubu.edu.cn
