The Bounds on the Rate of Uniform Convergence for Learning Machine. - Bin Zou 002; Luoqing Li; Jie Xu 006 (ISNN (1), 2005)

Uinta: A P2P Routing Algorithm Based on the User's Interest and the Network Topology. - Hai Jin 001; Jie Xu 006; Bin Zou 002; Hao Zhang 069 (IWDC, 2005)

The Study of Leave-One-Out Error-Based Classification Learning Algorithm for Generalization Performance. - Bin Zou 002; Jie Xu 006; Luoqing Li (ICNC (1), 2006)

The Generalization Performance of Learning Machine Based on Phi-mixing Sequence. - Bin Zou 002; Luoqing Li (ICPR (2), 2006)

The Generalization Performance of Learning Machine with NA Dependent Sequence. - Bin Zou 002; Luoqing Li; Jie Xu 006 (RSKT, 2006)

Analysis of Regularized Least Square Algorithms with Beta-Mixing Input Sequences. - Luoqing Li; Bin Zou 002 (ICNC (1), 2007)

The performance bounds of learning machines based on exponentially strongly mixing sequences. - Bin Zou 002; Luoqing Li (Comput. Math. Appl., 2007)

How to Measure the Essential Approximation Capability of a FNN. - Jianjun Wang 003; Bin Zou 002; Baili Chen (ICNC (2), 2009)

Generalization Performance of ERM Algorithm with Geometrically Ergodic Markov Chain Samples. - Jie Xu 006; Bin Zou 002; Jianjun Wang 003 (ICNC (1), 2009)

Learning Performance of Tikhonov Regularization Algorithm with Strongly Mixing Samples. - Jie Xu 006; Bin Zou 002 (ISNN (1), 2009)

Learning from uniformly ergodic Markov chains. - Bin Zou 002; Hai Zhang 001; Zongben Xu (J. Complex., 2009)

The generalization performance of ERM algorithm with strongly mixing observations. - Bin Zou 002; Luoqing Li; Zongben Xu (Mach. Learn., 2009)

Learning performance of Fisher Linear Discriminant based on Markov sampling. - Bin Zou 002; Zhiming Peng; Huihua Fan; Jie Xu 006 (ICNC, 2010)

The generalization performance of learning algorithms derived simultaneously through algorithmic stability and space complexity. - Jie Xu 006; Bin Zou 002 (ICNC, 2011)

Generalization Bounds of Regularization Algorithms Derived Simultaneously through Hypothesis Space Complexity, Algorithmic Stability and Data Quality. - Xiangyu Chang; Zongben Xu; Bin Zou 002; Hai Zhang 001 (Int. J. Wavelets Multiresolution Inf. Process., 2011)

Generalization bounds of ERM algorithm with V-geometrically Ergodic Markov chains. - Bin Zou 002; Zongben Xu; Xiangyu Chang (Adv. Comput. Math., 2012)

Constructive Estimation of Approximation for trigonometric Neural Networks. - Jianjun Wang 003; Weihua Xu 003; Bin Zou 002 (Int. J. Wavelets Multiresolution Inf. Process., 2012)

Learning performance of kernel SVMC with Markov chain samples. - Jie Xu 006; Tao Luo 006; Bin Zou 002 (ICNC, 2013)

The learning performance of support vector machine classification based on Markov sampling. - Bin Zou 002; Zhiming Peng; Zongben Xu (Sci. China Inf. Sci., 2013)

Error Analysis for the Sparse Graph-Based Semi-Supervised Classification Algorithm. - Ling Zuo; Jiangtao Peng; Bin Zou 002 (Int. J. Wavelets Multiresolution Inf. Process., 2013)

Generalization Performance of Fisher Linear Discriminant Based on Markov Sampling. - Bin Zou 002; Luoqing Li; Zongben Xu; Tao Luo 006; Yuan Yan Tang (IEEE Trans. Neural Networks Learn. Syst., 2013)

Generalization performance of Gaussian kernels SVMC based on Markov sampling. - Jie Xu 006; Yuan Yan Tang; Bin Zou 002; Zongben Xu; Luoqing Li; Yang Lu 009 (Neural Networks, 2014)

The Generalization Performance of Regularized Regression Algorithms Based on Markov Sampling. - Bin Zou 002; Yuan Yan Tang; Zongben Xu; Luoqing Li; Jie Xu 006; Yang Lu 009 (IEEE Trans. Cybern., 2014)

Learning performance of DAGSVM algorithm based on Markov sampling. - Jie Xu 006; Yang Lu 009; Bin Zou 002 (ICMLC, 2015)

Learning performance of Gaussian kernel online SVMC based on Markov sampling. - Jie Xu 006; Yan Yang; Bin Zou 002 (ICNC, 2015)

Learning performance of multi-class support vector machines based on Markov sampling. - Jie Xu 006; Bin Zou 002; Hanlei Shen (ICNC, 2015)

Generalization ability of extreme learning machine with uniformly ergodic Markov chains. - Peipei Yuan; Hong Chen 004; Yicong Zhou; Xiaoyan Deng; Bin Zou 002 (Neurocomputing, 2015)

The Generalization Ability of SVM Classification Based on Markov Sampling. - Jie Xu 006; Yuan Yan Tang; Bin Zou 002; Zongben Xu; Luoqing Li; Yang Lu 009; Baochang Zhang 001 (IEEE Trans. Cybern., 2015)

The Generalization Ability of Online SVM Classification Based on Markov Sampling. - Jie Xu 006; Yuan Yan Tang; Bin Zou 002; Zongben Xu; Luoqing Li; Yang Lu 009 (IEEE Trans. Neural Networks Learn. Syst., 2015)

Learning With ℓ1-Regularizer Based on Markov Resampling. - Tieliang Gong; Bin Zou 002; Zongben Xu (IEEE Trans. Cybern., 2016)

The consistency of least-square regularized regression with negative association sequence. - Fen Chen; Bin Zou 002; Na Chen (Int. J. Wavelets Multiresolution Inf. Process., 2018)

Learning With Coefficient-Based Regularized Regression on Markov Resampling. - Luoqing Li; Weifu Li; Bin Zou 002; Yulong Wang 002; Yuan Yan Tang; Hua Han 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

k-Times Markov Sampling for SVMC. - Bin Zou 002; Chen Xu 007; Yang Lu 009; Yuan Yan Tang; Jie Xu 006; Xinge You (IEEE Trans. Neural Networks Learn. Syst., 2018)

Kernelized Elastic Net Regularization based on Markov selective sampling. - Weijian Chen; Chen Xu 007; Bin Zou 002; Huidong Jin 001; Jie Xu 006 (Knowl. Based Syst., 2019)

New Incremental Learning Algorithm With Support Vector Machines. - Jie Xu 006; Chen Xu 007; Bin Zou 002; Yuan Yan Tang; Jiangtao Peng; Xinge You (IEEE Trans. Syst. Man Cybern. Syst., 2019)

Multiple Kernel SVM Based on Two-Stage Learning. - Xingrui Gong; Bin Zou 002; Yuze Duan; Jie Xu 006; Qingxin Luo; Yan Yang (IEEE Access, 2020)

SVM-Boosting based on Markov resampling: Theory and algorithm. - Hongwei Jiang; Bin Zou 002; Chen Xu 007; Jie Xu 006; Yuan Yan Tang (Neural Networks, 2020)

Ultrarobust support vector registration. - Lei Yin; Chong Yu; Yuyi Wang 001; Bin Zou 002; Yuan Yan Tang (Appl. Intell., 2021)

OAA-SVM-MS: A fast and efficient multi-class classification algorithm. - Yuze Duan; Bin Zou 002; Jie Xu 006; Fen Chen; Jiaolong Wei; Yuan Yan Tang (Neurocomputing, 2021)

LDAMSS: Fast and efficient undersampling method for imbalanced learning. - Ting Liang; Jie Xu 006; Bin Zou 002; Zhan Wang; Jingjing Zeng (Appl. Intell., 2022)

Generalization and learning rate of multi-class support vector classification and regression. - Zijie Dong; Jiawen Gong; Bin Zou 002; Yichi Wang 005; Jie Xu 006 (Int. J. Wavelets Multiresolution Inf. Process., 2022)

Online regularized pairwise learning with non-i.i.d. observations. - Yimo Qin; Bin Zou 002; Jingjing Zeng; Zhifei Sheng; Lei Yin (Int. J. Wavelets Multiresolution Inf. Process., 2022)

Adaptive multi-scale transductive information propagation for few-shot learning. - Sichao Fu; Baodi Liu; Weifeng Liu 001; Bin Zou 002; Xinhua You; Qinmu Peng; Xiao-Yuan Jing (Knowl. Based Syst., 2022)

Incremental Fisher linear discriminant based on data denoising. - Zhan Wang; Ting Liang; Bin Zou 002; Yaling Cai; Jie Xu 006; Xinge You (Knowl. Based Syst., 2022)

LMSVCR: novel effective method of semi-supervised multi-classification. - Zijie Dong; Yimo Qin; Bin Zou 002; Jie Xu 006; Yuan Yan Tang (Neural Comput. Appl., 2022)

CombineNet: A Stereo Network Combining Local and Semi-global Aggregation. - Qiyin Zhou; Bin Zou 002; Qian Long; Xiaolong Zheng 001; Qiwei Xie (DTPI, 2023)

Differentially private distributed logistic regression with the objective function perturbation. - Haibo Yang 004; Yulong Ji; Yanfeng Pan; Bin Zou 002; Yingxiong Fu (Int. J. Wavelets Multiresolution Inf. Process., 2023)

Learning Performance of Weighted Distributed Learning With Support Vector Machines. - Bin Zou 002; Hongwei Jiang; Chen Xu 007; Jie Xu 006; Xinge You; Yuan Yan Tang (IEEE Trans. Cybern., 2023)

Generalization capacity of multi-class SVM based on Markovian resampling. - Zijie Dong; Chen Xu 007; Jie Xu 006; Bin Zou 002; Jingjing Zeng; Yuan Yan Tang (Pattern Recognit., 2023)

Hybrid learning based on Fisher linear discriminant. - Jiawen Gong; Bin Zou 002; Chen Xu 007; Jie Xu 006; Xinge You (Inf. Sci., 2024)

Jointly Optimized Classifiers for Few-Shot Class-Incremental Learning. - Sichao Fu; Qinmu Peng; Xiaorui Wang; Yang He; Wenhao Qiu; Bin Zou 002; Duanquan Xu; Xiao-Yuan Jing; Xinge You (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Functional incremental least square regression algorithm. - Yujing Shen; Kunjin Zou; Bin Zou 002; Jie Xu 006; Jingjing Zeng (Int. J. Wavelets Multiresolution Inf. Process., 2024)

Generalization bounds of incremental SVM. - Jingjing Zeng; Bin Zou 002; Yimo Qin; Jie Xu 006 (Int. J. Wavelets Multiresolution Inf. Process., 2024)

Mi-maml: classifying few-shot advanced malware using multi-improved model-agnostic meta-learning. - Yulong Ji; Kunjin Zou; Bin Zou 002 (Cybersecur., 2024)

Unsupervised multiplex graph diffusion networks with multi-level canonical correlation analysis for multiplex graph representation learning. - Sichao Fu; Qinmu Peng; Yange He; Baokun Du; Bin Zou 002; Xiao-Yuan Jing; Xinge You (Sci. China Inf. Sci., 2025)

ALR-HT: A fast and efficient Lasso regression without hyperparameter tuning. - Yuhang Wang; Bin Zou 002; Jie Xu 006; Chen Xu 007; Yuan Yan Tang (Neural Networks, 2025)

Multilevel Contrastive Graph Masked Autoencoders for Unsupervised Graph-Structure Learning. - Sichao Fu; Qinmu Peng; Yang He; Xiaorui Wang; Bin Zou 002; Duanquan Xu; Xiao-Yuan Jing; Xinge You (IEEE Trans. Neural Networks Learn. Syst., 2025)

Sparse Additive Machine With the Correntropy-Induced Loss. - Peipei Yuan; Xinge You; Hong Chen 004; Yingjie Wang 007; Qinmu Peng; Bin Zou 002 (IEEE Trans. Neural Networks Learn. Syst., 2025)