Jie Xu

According to our database, Jie Xu authored at least 38 papers between 2003 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

ALR-HT: A fast and efficient Lasso regression without hyperparameter tuning.

Yuhang Wang, Bin Zou, Jie Xu, Chen Xu, Yuan Yan Tang

Neural Networks, 2025

2024

Hybrid learning based on Fisher linear discriminant.

Jiawen Gong, Bin Zou, Chen Xu, Jie Xu, Xinge You

Inf. Sci., 2024

2023

Generalization capacity of multi-class SVM based on Markovian resampling.

Zijie Dong, Chen Xu, Jie Xu, Bin Zou, Jingjing Zeng, Yuan Yan Tang

Pattern Recognit., October, 2023

Cross-Channel Dynamic Spatial-Spectral Fusion Transformer for Hyperspectral Image Classification.

Zhao Qiu, Jie Xu, Jiangtao Peng, Weiwei Sun

IEEE Trans. Geosci. Remote. Sens., 2023

Learning Performance of Weighted Distributed Learning With Support Vector Machines.

Bin Zou, Hongwei Jiang, Chen Xu, Jie Xu, Xinge You, Yuan Yan Tang

IEEE Trans. Cybern., 2023

2022

LMSVCR: novel effective method of semi-supervised multi-classification.

Zijie Dong, Yimo Qin, Bin Zou, Jie Xu, Yuan Yan Tang

Neural Comput. Appl., 2022

Incremental Fisher linear discriminant based on data denoising.

Zhan Wang, Ting Liang, Bin Zou, Yaling Cai, Jie Xu, Xinge You

Knowl. Based Syst., 2022

Generalization and learning rate of multi-class support vector classification and regression.

Zijie Dong, Jiawen Gong, Bin Zou, Yichi Wang, Jie Xu

Int. J. Wavelets Multiresolution Inf. Process., 2022

LDAMSS: Fast and efficient undersampling method for imbalanced learning.

Ting Liang, Jie Xu, Bin Zou, Zhan Wang, Jingjing Zeng

Appl. Intell., 2022

2021

OAA-SVM-MS: A fast and efficient multi-class classification algorithm.

Yuze Duan, Bin Zou, Jie Xu, Fen Chen, Jiaolong Wei, Yuan Yan Tang

Neurocomputing, 2021

2020

SVM-Boosting based on Markov resampling: Theory and algorithm.

Hongwei Jiang, Bin Zou, Chen Xu, Jie Xu, Yuan Yan Tang

Neural Networks, 2020

Multiple Kernel SVM Based on Two-Stage Learning.

Xingrui Gong, Bin Zou, Yuze Duan, Jie Xu, Qingxin Luo, Yan Yang

IEEE Access, 2020

2019

New Incremental Learning Algorithm With Support Vector Machines.

Jie Xu, Chen Xu, Bin Zou, Yuan Yan Tang, Jiangtao Peng, Xinge You

IEEE Trans. Syst. Man Cybern. Syst., 2019

Kernelized Elastic Net Regularization based on Markov selective sampling.

Weijian Chen, Chen Xu, Bin Zou, Huidong Jin, Jie Xu

Knowl. Based Syst., 2019

2018

k-Times Markov Sampling for SVMC.

Bin Zou, Chen Xu, Yang Lu, Yuan Yan Tang, Jie Xu, Xinge You

IEEE Trans. Neural Networks Learn. Syst., 2018

2017

The generalization performance of kernelized elastic net regularization based on exponentially strongly mixing observations.

Yuan Ye, Jie Xu, Yan Yang, Jialun Li

Proceedings of the 13th International Conference on Natural Computation, 2017

2015

The Generalization Ability of Online SVM Classification Based on Markov Sampling.

Jie Xu, Yuan Yan Tang, Bin Zou, Zongben Xu, Luoqing Li, Yang Lu

IEEE Trans. Neural Networks Learn. Syst., 2015

The Generalization Ability of SVM Classification Based on Markov Sampling.

Jie Xu, Yuan Yan Tang, Bin Zou, Zongben Xu, Luoqing Li, Yang Lu, Baochang Zhang

IEEE Trans. Cybern., 2015

Learning performance of multi-class support vector machines based on Markov sampling.

Jie Xu, Bin Zou, Hanlei Shen

Proceedings of the 11th International Conference on Natural Computation, 2015

Learning performance of Gaussian kernel online SVMC based on Markov sampling.

Jie Xu, Yan Yang, Bin Zou

Proceedings of the 11th International Conference on Natural Computation, 2015

Learning performance of DAGSVM algorithm based on Markov sampling.

Jie Xu, Yang Lu, Bin Zou

Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015

2014

The Generalization Performance of Regularized Regression Algorithms Based on Markov Sampling.

Bin Zou, Yuan Yan Tang, Zongben Xu, Luoqing Li, Jie Xu, Yang Lu

IEEE Trans. Cybern., 2014

Generalization performance of Gaussian kernels SVMC based on Markov sampling.

Jie Xu, Yuan Yan Tang, Bin Zou, Zongben Xu, Luoqing Li, Yang Lu

Neural Networks, 2014

Optimal rate for support vector machine regression with Markov chain samples.

Jie Xu

Int. J. Wavelets Multiresolution Inf. Process., 2014

2013

Learning performance of kernel SVMC with Markov chain samples.

Jie Xu, Tao Luo, Bin Zou

Proceedings of the Ninth International Conference on Natural Computation, 2013

2011

The generalization performance of learning algorithms derived simultaneously through algorithmic stability and space complexity.

Jie Xu, Bin Zou

Proceedings of the Seventh International Conference on Natural Computation, 2011

2010

Learning performance of Fisher Linear Discriminant based on Markov sampling.

Bin Zou, Zhiming Peng, Huihua Fan, Jie Xu

Proceedings of the Sixth International Conference on Natural Computation, 2010

2009

A structured P2P network based on the small world phenomenon.

Jie Xu, Hai Jin

J. Supercomput., 2009

Learning Performance of Tikhonov Regularization Algorithm with Strongly Mixing Samples.

Jie Xu, Bin Zou

Proceedings of the Advances in Neural Networks, 2009

Generalization Performance of ERM Algorithm with Geometrically Ergodic Markov Chain Samples.

Jie Xu, Bin Zou, Jianjun Wang

Proceedings of the Fifth International Conference on Natural Computation, 2009

2007

TRES-CORE: Content-Based Retrieval Based on the Balanced Tree in Peer to Peer Systems.

Hai Jin, Jie Xu

Proceedings of the Parallel Computing Technologies, 2007

SW-Uinta: A Small-World P2P Overlay Network.

Jie Xu, Hai Jin

Proceedings of the Network and Parallel Computing, IFIP International Conference, 2007

2006

The Generalization Performance of Learning Machine with NA Dependent Sequence.

Bin Zou, Luoqing Li, Jie Xu

Proceedings of the Rough Sets and Knowledge Technology, First International Conference, 2006

The Study of Leave-One-Out Error-Based Classification Learning Algorithm for Generalization Performance.

Bin Zou, Jie Xu, Luoqing Li

Proceedings of the Advances in Natural Computation, Second International Conference, 2006

2005

Uinta: A P2P Routing Algorithm Based on the User's Interest and the Network Topology.

Hai Jin, Jie Xu, Bin Zou, Hao Zhang

Proceedings of the Distributed Computing, 2005

The Bounds on the Rate of Uniform Convergence for Learning Machine.

Bin Zou, Luoqing Li, Jie Xu

Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

2003

Disk I/O mixed scheduling strategy for VoD servers.

Hai Jin, Jie Xu, Bibo Tu, Shengli Li

Proceedings of the 2003 International Symposium on Circuits and Systems, 2003

HARTs: high availability cluster architecture with redundant TCP stacks.

Zhiyuan Shao, Hai Jin, Bin Chen, Jie Xu, Jianhui Yue

Proceedings of the 22nd IEEE International Performance Computing and Communications Conference, 2003