Bin Zou

According to our database, Bin Zou authored at least 53 papers between 2005 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

Mi-maml: classifying few-shot advanced malware using multi-improved model-agnostic meta-learning.

Yulong Ji, Kunjin Zou, Bin Zou

Cybersecur., December, 2024

Jointly Optimized Classifiers for Few-Shot Class-Incremental Learning.

Sichao Fu, Qinmu Peng, Xiaorui Wang, Yang He, Wenhao Qiu, Bin Zou, Duanquan Xu, Xiao-Yuan Jing, Xinge You

IEEE Trans. Emerg. Top. Comput. Intell., October, 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

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

Differentially private distributed logistic regression with the objective function perturbation.

Haibo Yang, Yulong Ji, Yanfeng Pan, Bin Zou, Yingxiong Fu

Int. J. Wavelets Multiresolution Inf. Process., 2023

CombineNet: A Stereo Network Combining Local and Semi-global Aggregation.

Qiyin Zhou, Bin Zou, Qian Long, Xiaolong Zheng, Qiwei Xie

Proceedings of the IEEE 3rd International Conference on Digital Twins and Parallel Intelligence, 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

Adaptive multi-scale transductive information propagation for few-shot learning.

Sichao Fu, Baodi Liu, Weifeng Liu, Bin Zou, Xinhua You, Qinmu Peng, Xiao-Yuan Jing

Knowl. Based Syst., 2022

Online regularized pairwise learning with non-i.i.d. observations.

Yimo Qin, Bin Zou, Jingjing Zeng, Zhifei Sheng, Lei Yin

Int. J. Wavelets Multiresolution Inf. Process., 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

Ultrarobust support vector registration.

Lei Yin, Chong Yu, Yuyi Wang, Bin Zou, Yuan Yan Tang

Appl. Intell., 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

Learning With Coefficient-Based Regularized Regression on Markov Resampling.

Luoqing Li, Weifu Li, Bin Zou, Yulong Wang, Yuan Yan Tang, Hua Han

IEEE Trans. Neural Networks Learn. Syst., 2018

The consistency of least-square regularized regression with negative association sequence.

Fen Chen, Bin Zou, Na Chen

Int. J. Wavelets Multiresolution Inf. Process., 2018

2016

Learning With ℓ₁-Regularizer Based on Markov Resampling.

Tieliang Gong, Bin Zou, Zongben Xu

IEEE Trans. Cybern., 2016

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

Generalization ability of extreme learning machine with uniformly ergodic Markov chains.

Peipei Yuan, Hong Chen, Yicong Zhou, Xiaoyan Deng, Bin Zou

Neurocomputing, 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

2013

Generalization Performance of Fisher Linear Discriminant Based on Markov Sampling.

Bin Zou, Luoqing Li, Zongben Xu, Tao Luo, Yuan Yan Tang

IEEE Trans. Neural Networks Learn. Syst., 2013

Error Analysis for the Sparse Graph-Based Semi-Supervised Classification Algorithm.

Ling Zuo, Jiangtao Peng, Bin Zou

Int. J. Wavelets Multiresolution Inf. Process., 2013

The learning performance of support vector machine classification based on Markov sampling.

Bin Zou, Zhiming Peng, Zongben Xu

Sci. China Inf. Sci., 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

2012

Constructive Estimation of Approximation for trigonometric Neural Networks.

Jianjun Wang, Weihua Xu, Bin Zou

Int. J. Wavelets Multiresolution Inf. Process., 2012

Generalization bounds of ERM algorithm with V-geometrically Ergodic Markov chains.

Bin Zou, Zongben Xu, Xiangyu Chang

Adv. Comput. Math., 2012

2011

Generalization Bounds of Regularization Algorithms Derived Simultaneously through Hypothesis Space Complexity, Algorithmic Stability and Data Quality.

Xiangyu Chang, Zongben Xu, Bin Zou, Hai Zhang

Int. J. Wavelets Multiresolution Inf. Process., 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

The generalization performance of ERM algorithm with strongly mixing observations.

Bin Zou, Luoqing Li, Zongben Xu

Mach. Learn., 2009

Learning from uniformly ergodic Markov chains.

Bin Zou, Hai Zhang, Zongben Xu

J. Complex., 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

How to Measure the Essential Approximation Capability of a FNN.

Jianjun Wang, Bin Zou, Baili Chen

Proceedings of the Fifth International Conference on Natural Computation, 2009

2007

The performance bounds of learning machines based on exponentially strongly mixing sequences.

Bin Zou, Luoqing Li

Comput. Math. Appl., 2007

Analysis of Regularized Least Square Algorithms with Beta-Mixing Input Sequences.

Luoqing Li, Bin Zou

Proceedings of the Third International Conference on Natural Computation, 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 Generalization Performance of Learning Machine Based on Phi-mixing Sequence.

Bin Zou, Luoqing Li

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 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