HARTs: high availability cluster architecture with redundant TCP stacks. - Zhiyuan Shao; Hai Jin 001; Bin Chen; Jie Xu 006; Jianhui Yue (IPCCC, 2003)

Disk I/O mixed scheduling strategy for VoD servers. - Hai Jin 001; Jie Xu 006; Bibo Tu; Shengli Li 002 (ISCAS (2), 2003)

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 with NA Dependent Sequence. - Bin Zou 002; Luoqing Li; Jie Xu 006 (RSKT, 2006)

SW-Uinta: A Small-World P2P Overlay Network. - Jie Xu 006; Hai Jin 001 (NPC, 2007)

TRES-CORE: Content-Based Retrieval Based on the Balanced Tree in Peer to Peer Systems. - Hai Jin 001; Jie Xu 006 (PaCT, 2007)

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)

A structured P2P network based on the small world phenomenon. - Jie Xu 006; Hai Jin 001 (J. Supercomput., 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)

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

Optimal rate for support vector machine regression with Markov chain samples. - Jie Xu 006 (Int. J. Wavelets Multiresolution Inf. Process., 2014)

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)

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)

The generalization performance of kernelized elastic net regularization based on exponentially strongly mixing observations. - Yuan Ye; Jie Xu 006; Yan Yang; Jialun Li (ICNC-FSKD, 2017)

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)

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)

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)

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)

Cross-Channel Dynamic Spatial-Spectral Fusion Transformer for Hyperspectral Image Classification. - Zhao Qiu; Jie Xu 006; Jiangtao Peng; Weiwei Sun 005 (IEEE Trans. Geosci. Remote. Sens., 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)

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)

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)

Domain Fusion Contrastive Learning for Cross-Scene Hyperspectral Image Classification. - Zhao Qiu; Jie Xu 006; Jiangtao Peng; Weiwei Sun 005 (IEEE Trans. Geosci. Remote. Sens., 2025)