Hong-Jie Xing

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 13

Top Topics

Novelty Detection

Gustafson Kessel

Ensemble Learning

Top Venues

Pattern Recognit.

Pattern Recognit. Lett.

Publications

Hong-Jie Xing, Hui-Nan Wu, Ping-Ping Zhang
Deep multi-sphere support vector data description based on disentangled representation learning. Pattern Recognit. 156 (2024)
Hong-Jie Xing, Wei-Tao Liu, Xi-Zhao Wang
Bounded exponential loss function based AdaBoost ensemble of OCSVMs. Pattern Recognit. 148 (2024)
Hong-Jie Xing, Ping-Ping Zhang
Contrastive deep support vector data description. Pattern Recognit. 143 (2023)
Hong-Jie Xing, Zi-Chuan He
Adaptive loss function based least squares one-class support vector machine. Pattern Recognit. Lett. 156 (2022)
Hong-Jie Xing, Ya-Jie Liu, Zi-Chuan He
Robust sparse coding for one-class classification based on correntropy and logarithmic penalty function. Pattern Recognit. 111 (2021)
Hong-Jie Xing, Wei-Tao Liu
Robust AdaBoost based ensemble of one-class support vector machines. Inf. Fusion 55 (2020)
Hong-Jie Xing, Li-Fei Li
Robust least squares one-class support vector machine. Pattern Recognit. Lett. 138 (2020)
Wei-Tao Liu, Hong-Jie Xing
Rotation Based Ensemble of One-Class Support Vector Machines. ICMLC (2018)
Hong-Jie Xing, Man Ji
Robust one-class support vector machine with rescaled hinge loss function. Pattern Recognit. 84 (2018)
Hong-Jie Xing, Xi-Zhao Wang
Selective ensemble of SVDDs with Renyi entropy based diversity measure. Pattern Recognit. 61 (2017)
Bao-Gang Hu, Hong-Jie Xing
An Optimization Approach of Deriving Bounds between Entropy and Error from Joint Distribution: Case Study for Binary Classifications. Entropy 18 (2) (2016)
Qing-Zhen Shang, Hong-Jie Xing
Correntropy based self-organizing map. ICMLC (2016)
Xizhao Wang, Hong-Jie Xing, Yan Li, Qiang Hua, Chun-Ru Dong, Witold Pedrycz
A Study on Relationship Between Generalization Abilities and Fuzziness of Base Classifiers in Ensemble Learning. IEEE Trans. Fuzzy Syst. 23 (5) (2015)
Hong-Jie Xing, Minghu Ha
Further improvements in Feature-Weighted Fuzzy C-Means. Inf. Sci. 267 (2014)
Hong-Jie Xing, Huan-Ru Ren
Regularized correntropy criterion based feature extraction for novelty detection. Neurocomputing 133 (2014)
Yan Li, Hong-Jie Xing, Qiang Hua, Xi-Zhao Wang, Prerna Batta, Soroush Haeri, Ljiljana Trajkovic
Classification of BGP anomalies using decision trees and fuzzy rough sets. SMC (2014)
Hong-Jie Xing, Xin-Mei Wang
Training extreme learning machine via regularized correntropy criterion. Neural Comput. Appl. 23 (7-8) (2013)
Bao-Gang Hu, Hong-Jie Xing
A New Approach of Deriving Bounds between Entropy and Error from Joint Distribution: Case Study for Binary Classifications CoRR (2013)
Bao-Gang Hu, Hong-Jie Xing
Analytical Bounds between Entropy and Error Probability in Binary Classifications CoRR (2012)
Hong-Jie Xing, Xue-Fang Chen
Selective Ensemble of Support Vector Data Descriptions for Novelty Detection. ISNN (1) (2012)
Hong-Jie Xing, Jian-Guo Wu, Xue-Fang Chen
Modified AdaBoost based OCSVM ensemble for image retrieval. ICMLC (2012)
Huan-Ru Ren, Hong-Jie Xing
Robust feature extraction for novelty detection based on regularized correntropy criterion. SMC (2012)
Xue-Fang Chen, Hong-Jie Xing, Xi-Zhao Wang
A modified AdaBoost method for one-class SVM and its application to novelty detection. SMC (2011)
Hao-Xin Zhao, Hong-Jie Xing, Xi-Zhao Wang
Two-stage dimensionality reduction approach based on 2DLDA and fuzzy rough sets technique. Neurocomputing 74 (17) (2011)
Hong-Jie Xing, Xizhao Wang, Minghu Ha
A comparative experimental study of feature-weight learning approaches. SMC (2011)
Hong Zhang, Minghu Ha, Hong-Jie Xing
Chance-constrained programming on sugeno measure space. Expert Syst. Appl. 38 (9) (2011)
Minghu Ha, Hong Zhang, Witold Pedrycz, Hong-Jie Xing
The expected value models on Sugeno measure space. Int. J. Approx. Reason. 50 (7) (2009)
Hong-Jie Xing, Bao-Gang Hu
Two-Phase Construction of Multilayer Perceptrons Using Information Theory. IEEE Trans. Neural Networks 20 (4) (2009)
Hong-Jie Xing, Minghu Ha, Da-Zeng Tian, Bao-Gang Hu
A novel support vector machine with its features weighted by mutual information. IJCNN (2008)
Hong-Jie Xing, Bao-Gang Hu
An adaptive fuzzy c-means clustering-based mixtures of experts model for unlabeled data classification. Neurocomputing 71 (4-6) (2008)
Hong-Jie Xing, Xizhao Wang, Ruixian Zhu, Dan Wang
Application of kernel learning vector quantization to novelty detection. SMC (2008)
Yong Wang, Hong-Jie Xing
Knowledge Discovery and Integration Based on A Novel Neural Network Ensemble Model. SKG (2006)
Hong-Jie Xing, Yujiu Yang, Yong Wang, Bao-Gang Hu
Sparse Kernel Fisher Discriminant Analysis. ISNN (1) (2005)
Bao-Gang Hu, Hong-Jie Xing, Yujiu Yang
Geometric Interpretation of Nonlinear Approximation Capability for Feedforward Neural Networks. ISNN (1) (2004)