Bin Zou - RankMe

63 papers Misc 6Journal 47Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DH-MSVM: A hybrid algorithm for seeking quality support vectors in distributed learning. Neural Networks Jiawen Gong, Beihao Xia, Qinmu Peng, Bin Zou, Xinge You
2026	J	`jnl`	Hybrid learning framework integrating fisher linear discriminant and localized support vector machines. Expert Syst. Appl. Jingjing Zeng, Yimo Qin, Bin Zou, Jie Xu, Peipei Dong
2026	J	`jnl`	Understanding generalization and consistency of DCNN from weak dependence perspective. Knowl. Based Syst. Peipei Dong, Jie Xu, Bin Zou, Yuhan Wang, Chen Xu, Wei Emma Zhang
2026	J	`jnl`	Unsupervised multimodal graph completion networks with multi-level contrastiveness for modality-missing conversation understanding. Inf. Fusion Sichao Fu, Songren Peng, Bin Zou, Xiao-Yuan Jing, Wei Yu, Qinmu Peng, Xinge You
2025	J	`jnl`	ALR-HT: A fast and efficient Lasso regression without hyperparameter tuning. Neural Networks Yuhang Wang, Bin Zou, Jie Xu, Chen Xu, Yuan Yan Tang
2025	J	`jnl`	Multilevel Contrastive Graph Masked Autoencoders for Unsupervised Graph-Structure Learning. IEEE Trans. Neural Networks Learn. Syst. Sichao Fu, Qinmu Peng, Yang He, Xiaorui Wang, Bin Zou, Duanquan Xu, Xiao-Yuan Jing, Xinge You
2025	J	`jnl`	Multiplex Experts Governance Collaboration for Label Noise-Resistant Graph Representation Learning. IEEE Trans. Syst. Man Cybern. Syst. Sichao Fu, Qinmu Peng, Yiu-ming Cheung, Yizhuo Xu, Bin Zou, Xiao-Yuan Jing, Xinge You
2025	J	`jnl`	Sparse Additive Machine With the Correntropy-Induced Loss. IEEE Trans. Neural Networks Learn. Syst. Peipei Yuan, Xinge You, Hong Chen, Yingjie Wang, Qinmu Peng, Bin Zou
2025	J	`jnl`	Unsupervised multiplex graph diffusion networks with multi-level canonical correlation analysis for multiplex graph representation learning. Sci. China Inf. Sci. Sichao Fu, Qinmu Peng, Yange He, Baokun Du, Bin Zou, Xiao-Yuan Jing, Xinge You
2024	J	`jnl`	Functional incremental least square regression algorithm. Int. J. Wavelets Multiresolution Inf. Process. Yujing Shen, Kunjin Zou, Bin Zou, Jie Xu, Jingjing Zeng
2024	J	`jnl`	Generalization bounds of incremental SVM. Int. J. Wavelets Multiresolution Inf. Process. Jingjing Zeng, Bin Zou, Yimo Qin, Jie Xu
2024	J	`jnl`	Hybrid learning based on Fisher linear discriminant. Inf. Sci. Jiawen Gong, Bin Zou, Chen Xu, Jie Xu, Xinge You
2024	J	`jnl`	Jointly Optimized Classifiers for Few-Shot Class-Incremental Learning. IEEE Trans. Emerg. Top. Comput. Intell. Sichao Fu, Qinmu Peng, Xiaorui Wang, Yang He, Wenhao Qiu, Bin Zou, Duanquan Xu, Xiao-Yuan Jing, Xinge You
2024	J	`jnl`	Mi-maml: classifying few-shot advanced malware using multi-improved model-agnostic meta-learning. Cybersecur. Yulong Ji, Kunjin Zou, Bin Zou
2023	—	`conf`	CombineNet: A Stereo Network Combining Local and Semi-global Aggregation. DTPI Qiyin Zhou, Bin Zou, Qian Long, Xiaolong Zheng, Qiwei Xie
2023	J	`jnl`	Differentially private distributed logistic regression with the objective function perturbation. Int. J. Wavelets Multiresolution Inf. Process. Haibo Yang, Yulong Ji, Yanfeng Pan, Bin Zou, Yingxiong Fu
2023	J	`jnl`	Generalization capacity of multi-class SVM based on Markovian resampling. Pattern Recognit. Zijie Dong, Chen Xu, Jie Xu, Bin Zou, Jingjing Zeng, Yuan Yan Tang
2023	J	`jnl`	Learning Performance of Weighted Distributed Learning With Support Vector Machines. IEEE Trans. Cybern. Bin Zou, Hongwei Jiang, Chen Xu, Jie Xu, Xinge You, Yuan Yan Tang
2022	J	`jnl`	Adaptive multi-scale transductive information propagation for few-shot learning. Knowl. Based Syst. Sichao Fu, Baodi Liu, Weifeng Liu, Bin Zou, Xinhua You, Qinmu Peng, Xiao-Yuan Jing
2022	J	`jnl`	Generalization and learning rate of multi-class support vector classification and regression. Int. J. Wavelets Multiresolution Inf. Process. Zijie Dong, Jiawen Gong, Bin Zou, Yichi Wang, Jie Xu
2022	J	`jnl`	Incremental Fisher linear discriminant based on data denoising. Knowl. Based Syst. Zhan Wang, Ting Liang, Bin Zou, Yaling Cai, Jie Xu, Xinge You
2022	J	`jnl`	LDAMSS: Fast and efficient undersampling method for imbalanced learning. Appl. Intell. Ting Liang, Jie Xu, Bin Zou, Zhan Wang, Jingjing Zeng
2022	J	`jnl`	LMSVCR: novel effective method of semi-supervised multi-classification. Neural Comput. Appl. Zijie Dong, Yimo Qin, Bin Zou, Jie Xu, Yuan Yan Tang
2022	J	`jnl`	Online regularized pairwise learning with non-i.i.d. observations. Int. J. Wavelets Multiresolution Inf. Process. Yimo Qin, Bin Zou, Jingjing Zeng, Zhifei Sheng, Lei Yin
2021	J	`jnl`	OAA-SVM-MS: A fast and efficient multi-class classification algorithm. Neurocomputing Yuze Duan, Bin Zou, Jie Xu, Fen Chen, Jiaolong Wei, Yuan Yan Tang
2021	J	`jnl`	Ultrarobust support vector registration. Appl. Intell. Lei Yin, Chong Yu, Yuyi Wang, Bin Zou, Yuan Yan Tang
2020	J	`jnl`	Multiple Kernel SVM Based on Two-Stage Learning. IEEE Access Xingrui Gong, Bin Zou, Yuze Duan, Jie Xu, Qingxin Luo, Yan Yang
2020	J	`jnl`	SVM-Boosting based on Markov resampling: Theory and algorithm. Neural Networks Hongwei Jiang, Bin Zou, Chen Xu, Jie Xu, Yuan Yan Tang
2019	J	`jnl`	Kernelized Elastic Net Regularization based on Markov selective sampling. Knowl. Based Syst. Weijian Chen, Chen Xu, Bin Zou, Huidong Jin, Jie Xu
2019	J	`jnl`	New Incremental Learning Algorithm With Support Vector Machines. IEEE Trans. Syst. Man Cybern. Syst. Jie Xu, Chen Xu, Bin Zou, Yuan Yan Tang, Jiangtao Peng, Xinge You
2018	J	`jnl`	Learning With Coefficient-Based Regularized Regression on Markov Resampling. IEEE Trans. Neural Networks Learn. Syst. Luoqing Li, Weifu Li, Bin Zou, Yulong Wang, Yuan Yan Tang, Hua Han
2018	J	`jnl`	The consistency of least-square regularized regression with negative association sequence. Int. J. Wavelets Multiresolution Inf. Process. Fen Chen, Bin Zou, Na Chen
2018	J	`jnl`	k-Times Markov Sampling for SVMC. IEEE Trans. Neural Networks Learn. Syst. Bin Zou, Chen Xu, Yang Lu, Yuan Yan Tang, Jie Xu, Xinge You
2016	J	`jnl`	Learning With ℓ IEEE Trans. Cybern. Tieliang Gong, Bin Zou, Zongben Xu
2015	J	`jnl`	Generalization ability of extreme learning machine with uniformly ergodic Markov chains. Neurocomputing Peipei Yuan, Hong Chen, Yicong Zhou, Xiaoyan Deng, Bin Zou
2015	Misc	`conf`	Learning performance of DAGSVM algorithm based on Markov sampling. ICMLC Jie Xu, Yang Lu, Bin Zou
2015	Misc	`conf`	Learning performance of Gaussian kernel online SVMC based on Markov sampling. ICNC Jie Xu, Yan Yang, Bin Zou
2015	Misc	`conf`	Learning performance of multi-class support vector machines based on Markov sampling. ICNC Jie Xu, Bin Zou, Hanlei Shen
2015	J	`jnl`	The Generalization Ability of Online SVM Classification Based on Markov Sampling. IEEE Trans. Neural Networks Learn. Syst. Jie Xu, Yuan Yan Tang, Bin Zou, Zongben Xu, Luoqing Li, Yang Lu
2015	J	`jnl`	The Generalization Ability of SVM Classification Based on Markov Sampling. IEEE Trans. Cybern. Jie Xu, Yuan Yan Tang, Bin Zou, Zongben Xu, Luoqing Li, Yang Lu, Baochang Zhang
2014	J	`jnl`	Generalization performance of Gaussian kernels SVMC based on Markov sampling. Neural Networks Jie Xu, Yuan Yan Tang, Bin Zou, Zongben Xu, Luoqing Li, Yang Lu
2014	J	`jnl`	The Generalization Performance of Regularized Regression Algorithms Based on Markov Sampling. IEEE Trans. Cybern. Bin Zou, Yuan Yan Tang, Zongben Xu, Luoqing Li, Jie Xu, Yang Lu
2013	J	`jnl`	Error Analysis for the Sparse Graph-Based Semi-Supervised Classification Algorithm. Int. J. Wavelets Multiresolution Inf. Process. Ling Zuo, Jiangtao Peng, Bin Zou
2013	J	`jnl`	Generalization Performance of Fisher Linear Discriminant Based on Markov Sampling. IEEE Trans. Neural Networks Learn. Syst. Bin Zou, Luoqing Li, Zongben Xu, Tao Luo, Yuan Yan Tang
2013	Misc	`conf`	Learning performance of kernel SVMC with Markov chain samples. ICNC Jie Xu, Tao Luo, Bin Zou
2013	J	`jnl`	The learning performance of support vector machine classification based on Markov sampling. Sci. China Inf. Sci. Bin Zou, Zhiming Peng, Zongben Xu
2012	J	`jnl`	Constructive Estimation of Approximation for trigonometric Neural Networks. Int. J. Wavelets Multiresolution Inf. Process. Jianjun Wang, Weihua Xu, Bin Zou
2012	J	`jnl`	Generalization bounds of ERM algorithm with V-geometrically Ergodic Markov chains. Adv. Comput. Math. Bin Zou, Zongben Xu, Xiangyu Chang
2011	J	`jnl`	Generalization Bounds of Regularization Algorithms Derived Simultaneously through Hypothesis Space Complexity, Algorithmic Stability and Data Quality. Int. J. Wavelets Multiresolution Inf. Process. Xiangyu Chang, Zongben Xu, Bin Zou, Hai Zhang
2011	Misc	`conf`	The generalization performance of learning algorithms derived simultaneously through algorithmic stability and space complexity. ICNC Jie Xu, Bin Zou
2010	Misc	`conf`	Learning performance of Fisher Linear Discriminant based on Markov sampling. ICNC Bin Zou, Zhiming Peng, Huihua Fan, Jie Xu
2009	—	`conf`	Generalization Performance of ERM Algorithm with Geometrically Ergodic Markov Chain Samples. ICNC (1) Jie Xu, Bin Zou, Jianjun Wang
2009	—	`conf`	How to Measure the Essential Approximation Capability of a FNN. ICNC (2) Jianjun Wang, Bin Zou, Baili Chen
2009	—	`conf`	Learning Performance of Tikhonov Regularization Algorithm with Strongly Mixing Samples. ISNN (1) Jie Xu, Bin Zou
2009	J	`jnl`	Learning from uniformly ergodic Markov chains. J. Complex. Bin Zou, Hai Zhang, Zongben Xu
2009	J	`jnl`	The generalization performance of ERM algorithm with strongly mixing observations. Mach. Learn. Bin Zou, Luoqing Li, Zongben Xu
2007	—	`conf`	Analysis of Regularized Least Square Algorithms with Beta-Mixing Input Sequences. ICNC (1) Luoqing Li, Bin Zou
2007	J	`jnl`	The performance bounds of learning machines based on exponentially strongly mixing sequences. Comput. Math. Appl. Bin Zou, Luoqing Li
2006	—	`conf`	The Generalization Performance of Learning Machine Based on Phi-mixing Sequence. ICPR (2) Bin Zou, Luoqing Li
2006	—	`conf`	The Generalization Performance of Learning Machine with NA Dependent Sequence. RSKT Bin Zou, Luoqing Li, Jie Xu
2006	—	`conf`	The Study of Leave-One-Out Error-Based Classification Learning Algorithm for Generalization Performance. ICNC (1) Bin Zou, Jie Xu, Luoqing Li
2005	—	`conf`	The Bounds on the Rate of Uniform Convergence for Learning Machine. ISNN (1) Bin Zou, Luoqing Li, Jie Xu
2005	—	`conf`	Uinta: A P2P Routing Algorithm Based on the User's Interest and the Network Topology. IWDC Hai Jin, Jie Xu, Bin Zou, Hao Zhang