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ORCIDBin Zou 0002
Person information
- affiliation (PhD 2007): Hubei University, Faculty of Mathematics and Statistics, Wuhan, China
Other persons with the same name
- Bin Zou — disambiguation page
- Bin Zou 0001
![[0000-0001-6135-3174]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-6135-3174")
— Harbin Institute of Technology, Department of Information Engineering, China - Bin Zou 0003 — Central South University, Changsha, School of Info-Physics and Geomatics Engineering, China (and 1 more)
- Bin Zou 0004 — City University of Hong Kong, Department of Electronic Engineering, Hong Kong
- Bin Zou 0005 — University of Connecticut, Department of Mathematics, Storrs, CT, USA (and 3 more)
- Bin Zou 0006 — University College London, Department of Computer Science, UK
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2020 – today
- 2025
[j37]Yuhang Wang, Bin Zou, Jie Xu, Chen Xu, Yuan Yan Tang:
ALR-HT: A fast and efficient Lasso regression without hyperparameter tuning. Neural Networks 181: 106885 (2025)- 2024
- [j36]Yulong Ji, Kunjin Zou, Bin Zou:
Mi-maml: classifying few-shot advanced malware using multi-improved model-agnostic meta-learning. Cybersecur. 7(1): 72 (2024) - [j35]Jiawen Gong, Bin Zou, Chen Xu, Jie Xu, Xinge You:
Hybrid learning based on Fisher linear discriminant. Inf. Sci. 667: 120465 (2024) - [j34]Sichao Fu, Qinmu Peng, Xiaorui Wang, Yang He, Wenhao Qiu, Bin Zou, Duanquan Xu, Xiao-Yuan Jing, Xinge You:
Jointly Optimized Classifiers for Few-Shot Class-Incremental Learning. IEEE Trans. Emerg. Top. Comput. Intell. 8(5): 3316-3326 (2024) - 2023
- [j33]Haibo Yang, Yulong Ji, Yanfeng Pan, Bin Zou, Yingxiong Fu:
Differentially private distributed logistic regression with the objective function perturbation. Int. J. Wavelets Multiresolution Inf. Process. 21(1): 2250043:1-2250043:30 (2023) - [j32]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: 109720 (2023) - [j31]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): 4630-4641 (2023) - [c16]Qiyin Zhou, Bin Zou, Qian Long, Xiaolong Zheng, Qiwei Xie:
CombineNet: A Stereo Network Combining Local and Semi-global Aggregation. DTPI 2023: 1-7 - 2022
- [j30]Ting Liang, Jie Xu, Bin Zou, Zhan Wang, Jingjing Zeng:
LDAMSS: Fast and efficient undersampling method for imbalanced learning. Appl. Intell. 52(6): 6794-6811 (2022) - [j29]Yimo Qin, Bin Zou, Jingjing Zeng, Zhifei Sheng, Lei Yin:
Online regularized pairwise learning with non-i.i.d. observations. Int. J. Wavelets Multiresolution Inf. Process. 20(1): 2150041:1-2150041:26 (2022) - [j28]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): 2250017:1-2250017:30 (2022) - [j27]Zhan Wang, Ting Liang, Bin Zou, Yaling Cai, Jie Xu, Xinge You:
Incremental Fisher linear discriminant based on data denoising. Knowl. Based Syst. 237: 107799 (2022) - [j26]Sichao Fu, Baodi Liu, Weifeng Liu, Bin Zou, Xinhua You, Qinmu Peng, Xiao-Yuan Jing:
Adaptive multi-scale transductive information propagation for few-shot learning. Knowl. Based Syst. 249: 108979 (2022) - [j25]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): 3857-3873 (2022) - 2021
- [j24]Lei Yin, Chong Yu, Yuyi Wang, Bin Zou, Yuan Yan Tang:
Ultrarobust support vector registration. Appl. Intell. 51(6): 3664-3683 (2021) - [j23]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: 448-460 (2021) - 2020
- [j22]Xingrui Gong, Bin Zou, Yuze Duan, Jie Xu, Qingxin Luo, Yan Yang:
Multiple Kernel SVM Based on Two-Stage Learning. IEEE Access 8: 101133-101144 (2020) - [j21]Hongwei Jiang, Bin Zou, Chen Xu, Jie Xu, Yuan Yan Tang:
SVM-Boosting based on Markov resampling: Theory and algorithm. Neural Networks 131: 276-290 (2020)
2010 – 2019
- 2019
- [j20]Weijian Chen, Chen Xu, Bin Zou, Huidong Jin, Jie Xu:
Kernelized Elastic Net Regularization based on Markov selective sampling. Knowl. Based Syst. 163: 57-68 (2019) - [j19]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): 2230-2241 (2019) - 2018
- [j18]Fen Chen, Bin Zou, Na Chen:
The consistency of least-square regularized regression with negative association sequence. Int. J. Wavelets Multiresolution Inf. Process. 16(3): 1850019:1-1850019:20 (2018) - [j17]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): 1328-1341 (2018) - [j16]Luoqing Li, Weifu Li, Bin Zou, Yulong Wang, Yuan Yan Tang, Hua Han:
Learning With Coefficient-Based Regularized Regression on Markov Resampling. IEEE Trans. Neural Networks Learn. Syst. 29(9): 4166-4176 (2018) - 2016
- [j15]Tieliang Gong, Bin Zou, Zongben Xu:
Learning With ℓ1-Regularizer Based on Markov Resampling. IEEE Trans. Cybern. 46(5): 1189-1201 (2016) - 2015
- [j14]Peipei Yuan, Hong Chen, Yicong Zhou, Xiaoyan Deng, Bin Zou:
Generalization ability of extreme learning machine with uniformly ergodic Markov chains. Neurocomputing 167: 528-534 (2015) - [j13]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): 1169-1179 (2015) - [j12]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): 628-639 (2015) - [c15]Jie Xu, Yang Lu, Bin Zou:
Learning performance of DAGSVM algorithm based on Markov sampling. ICMLC 2015: 910-915 - [c14]Jie Xu, Yan Yang, Bin Zou:
Learning performance of Gaussian kernel online SVMC based on Markov sampling. ICNC 2015: 69-73 - [c13]Jie Xu, Bin Zou, Hanlei Shen:
Learning performance of multi-class support vector machines based on Markov sampling. ICNC 2015: 74-80 - 2014
- [j11]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: 40-51 (2014) - [j10]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): 1497-1507 (2014) - 2013
- [j9]Bin Zou, Zhiming Peng, Zongben Xu:
The learning performance of support vector machine classification based on Markov sampling. Sci. China Inf. Sci. 56(3): 1-16 (2013) - [j8]Ling Zuo, Jiangtao Peng, Bin Zou:
Error Analysis for the Sparse Graph-Based Semi-Supervised Classification Algorithm. Int. J. Wavelets Multiresolution Inf. Process. 11(6) (2013) - [j7]Bin Zou, Luoqing Li, Zongben Xu, Tao Luo, Yuan Yan Tang:
Generalization Performance of Fisher Linear Discriminant Based on Markov Sampling. IEEE Trans. Neural Networks Learn. Syst. 24(2): 288-300 (2013) - [c12]Jie Xu, Tao Luo, Bin Zou:
Learning performance of kernel SVMC with Markov chain samples. ICNC 2013: 1145-1149 - 2012
- [j6]Bin Zou, Zongben Xu, Xiangyu Chang:
Generalization bounds of ERM algorithm with V-geometrically Ergodic Markov chains. Adv. Comput. Math. 36(1): 99-114 (2012) - [j5]Jianjun Wang, Weihua Xu, Bin Zou:
Constructive Estimation of Approximation for trigonometric Neural Networks. Int. J. Wavelets Multiresolution Inf. Process. 10(3) (2012) - 2011
- [j4]Xiangyu Chang, Zongben Xu, Bin Zou, Hai Zhang:
Generalization Bounds of Regularization Algorithms Derived Simultaneously through Hypothesis Space Complexity, Algorithmic Stability and Data Quality. Int. J. Wavelets Multiresolution Inf. Process. 9(4): 549-570 (2011) - [c11]Jie Xu, Bin Zou:
The generalization performance of learning algorithms derived simultaneously through algorithmic stability and space complexity. ICNC 2011: 288-292 - 2010
- [c10]Bin Zou, Zhiming Peng, Huihua Fan, Jie Xu:
Learning performance of Fisher Linear Discriminant based on Markov sampling. ICNC 2010: 1114-1118
2000 – 2009
- 2009
- [j3]Bin Zou, Hai Zhang, Zongben Xu:
Learning from uniformly ergodic Markov chains. J. Complex. 25(2): 188-200 (2009) - [j2]Bin Zou, Luoqing Li, Zongben Xu:
The generalization performance of ERM algorithm with strongly mixing observations. Mach. Learn. 75(3): 275-295 (2009) - [c9]Jie Xu, Bin Zou, Jianjun Wang:
Generalization Performance of ERM Algorithm with Geometrically Ergodic Markov Chain Samples. ICNC (1) 2009: 154-158 - [c8]Jianjun Wang, Bin Zou, Baili Chen:
How to Measure the Essential Approximation Capability of a FNN. ICNC (2) 2009: 394-398 - [c7]Jie Xu, Bin Zou:
Learning Performance of Tikhonov Regularization Algorithm with Strongly Mixing Samples. ISNN (1) 2009: 717-727 - 2007
- [j1]Bin Zou, Luoqing Li:
The performance bounds of learning machines based on exponentially strongly mixing sequences. Comput. Math. Appl. 53(7): 1050-1058 (2007) - [c6]Luoqing Li, Bin Zou:
Analysis of Regularized Least Square Algorithms with Beta-Mixing Input Sequences. ICNC (1) 2007: 89-93 - 2006
- [c5]Bin Zou, Jie Xu, Luoqing Li:
The Study of Leave-One-Out Error-Based Classification Learning Algorithm for Generalization Performance. ICNC (1) 2006: 5-14 - [c4]Bin Zou, Luoqing Li:
The Generalization Performance of Learning Machine Based on Phi-mixing Sequence. ICPR (2) 2006: 548-551 - [c3]Bin Zou, Luoqing Li, Jie Xu:
The Generalization Performance of Learning Machine with NA Dependent Sequence. RSKT 2006: 568-573 - 2005
- [c2]Bin Zou, Luoqing Li, Jie Xu:
The Bounds on the Rate of Uniform Convergence for Learning Machine. ISNN (1) 2005: 538-545 - [c1]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: 238-249
Coauthor Index
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