Jie Xu

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 20

Top Topics

Fisher Linear Discriminant

Svm Classification

Top Venues

IEEE Trans. Cybern.

IEEE Trans. Neural Networks Learn. Syst.

Knowl. Based Syst.

Publications

Jiawen Gong, Bin Zou, Chen Xu, Jie Xu, Xinge You
Hybrid learning based on Fisher linear discriminant. Inf. Sci. 667 (2024)
Zijie Dong, Chen Xu, Jie Xu, Bin Zou, Jingjing Zeng, Yuan Yan Tang
Generalization capacity of multi-class SVM based on Markovian resampling. Pattern Recognit. 142 (2023)
Bin Zou, Hongwei Jiang, Chen Xu, Jie Xu, Xinge You, Yuan Yan Tang
Learning Performance of Weighted Distributed Learning With Support Vector Machines. IEEE Trans. Cybern. 53 (7) (2023)
Zhao Qiu, Jie Xu, Jiangtao Peng, Weiwei Sun
Cross-Channel Dynamic Spatial-Spectral Fusion Transformer for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Zijie Dong, Yimo Qin, Bin Zou, Jie Xu, Yuan Yan Tang
LMSVCR: novel effective method of semi-supervised multi-classification. Neural Comput. Appl. 34 (5) (2022)
Ting Liang, Jie Xu, Bin Zou, Zhan Wang, Jingjing Zeng
LDAMSS: Fast and efficient undersampling method for imbalanced learning. Appl. Intell. 52 (6) (2022)
Zijie Dong, Jiawen Gong, Bin Zou, Yichi Wang, Jie Xu
Generalization and learning rate of multi-class support vector classification and regression. Int. J. Wavelets Multiresolution Inf. Process. 20 (5) (2022)
Zhan Wang, Ting Liang, Bin Zou, Yaling Cai, Jie Xu, Xinge You
Incremental Fisher linear discriminant based on data denoising. Knowl. Based Syst. 237 (2022)
Yuze Duan, Bin Zou, Jie Xu, Fen Chen, Jiaolong Wei, Yuan Yan Tang
OAA-SVM-MS: A fast and efficient multi-class classification algorithm. Neurocomputing 454 (2021)
Xingrui Gong, Bin Zou, Yuze Duan, Jie Xu, Qingxin Luo, Yan Yang
Multiple Kernel SVM Based on Two-Stage Learning. IEEE Access 8 (2020)
Hongwei Jiang, Bin Zou, Chen Xu, Jie Xu, Yuan Yan Tang
SVM-Boosting based on Markov resampling: Theory and algorithm. Neural Networks 131 (2020)
Jie Xu, Chen Xu, Bin Zou, Yuan Yan Tang, Jiangtao Peng, Xinge You
New Incremental Learning Algorithm With Support Vector Machines. IEEE Trans. Syst. Man Cybern. Syst. 49 (11) (2019)
Weijian Chen, Chen Xu, Bin Zou, Huidong Jin, Jie Xu
Kernelized Elastic Net Regularization based on Markov selective sampling. Knowl. Based Syst. 163 (2019)
Bin Zou, Chen Xu, Yang Lu, Yuan Yan Tang, Jie Xu, Xinge You
k-Times Markov Sampling for SVMC. IEEE Trans. Neural Networks Learn. Syst. 29 (4) (2018)
Yuan Ye, Jie Xu, Yan Yang, Jialun Li
The generalization performance of kernelized elastic net regularization based on exponentially strongly mixing observations. ICNC-FSKD (2017)
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 Trans. Cybern. 45 (6) (2015)
Jie Xu, Bin Zou, Hanlei Shen
Learning performance of multi-class support vector machines based on Markov sampling. ICNC (2015)
Jie Xu, Yan Yang, Bin Zou
Learning performance of Gaussian kernel online SVMC based on Markov sampling. ICNC (2015)
Jie Xu, Yang Lu, Bin Zou
Learning performance of DAGSVM algorithm based on Markov sampling. ICMLC (2015)
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 Trans. Neural Networks Learn. Syst. 26 (3) (2015)
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 53 (2014)
Jie Xu
Optimal rate for support vector machine regression with Markov chain samples. Int. J. Wavelets Multiresolution Inf. Process. 12 (6) (2014)
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 Trans. Cybern. 44 (9) (2014)
Jie Xu, Tao Luo, Bin Zou
Learning performance of kernel SVMC with Markov chain samples. ICNC (2013)
Jie Xu, Bin Zou
The generalization performance of learning algorithms derived simultaneously through algorithmic stability and space complexity. ICNC (2011)
Bin Zou, Zhiming Peng, Huihua Fan, Jie Xu
Learning performance of Fisher Linear Discriminant based on Markov sampling. ICNC (2010)
Jie Xu, Bin Zou
Learning Performance of Tikhonov Regularization Algorithm with Strongly Mixing Samples. ISNN (1) (2009)
Jie Xu, Hai Jin
A structured P2P network based on the small world phenomenon. J. Supercomput. 48 (3) (2009)
Jie Xu, Bin Zou, Jianjun Wang
Generalization Performance of ERM Algorithm with Geometrically Ergodic Markov Chain Samples. ICNC (1) (2009)
Hai Jin, Jie Xu
TRES-CORE: Content-Based Retrieval Based on the Balanced Tree in Peer to Peer Systems. PaCT (2007)
Jie Xu, Hai Jin
SW-Uinta: A Small-World P2P Overlay Network. NPC (2007)
Bin Zou, Luoqing Li, Jie Xu
The Generalization Performance of Learning Machine with NA Dependent Sequence. RSKT (2006)
Bin Zou, Jie Xu, Luoqing Li
The Study of Leave-One-Out Error-Based Classification Learning Algorithm for Generalization Performance. ICNC (1) (2006)
Bin Zou, Luoqing Li, Jie Xu
The Bounds on the Rate of Uniform Convergence for Learning Machine. ISNN (1) (2005)
Hai Jin, Jie Xu, Bin Zou, Hao Zhang
Uinta: A P2P Routing Algorithm Based on the User's Interest and the Network Topology. IWDC (2005)
Zhiyuan Shao, Hai Jin, Bin Chen, Jie Xu, Jianhui Yue
HARTs: high availability cluster architecture with redundant TCP stacks. IPCCC (2003)
Hai Jin, Jie Xu, Bibo Tu, Shengli Li
Disk I/O mixed scheduling strategy for VoD servers. ISCAS (2) (2003)