Hong-Jie Xing

35 papers B 6Misc 3Journal 22Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
MulGad: Multi-granularity contrastive learning for multivariate time series anomaly detection.
Inf. Fusion
Bo-Wen Xiao, Hong-Jie Xing, Chun-Guo Li
2024 J jnl
Bounded exponential loss function based AdaBoost ensemble of OCSVMs.
Pattern Recognit.
Hong-Jie Xing, Wei-Tao Liu, Xi-Zhao Wang
2024 J jnl
Deep multi-sphere support vector data description based on disentangled representation learning.
Pattern Recognit.
Hong-Jie Xing, Hui-Nan Wu, Ping-Ping Zhang
2023 J jnl
Contrastive deep support vector data description.
Pattern Recognit.
Hong-Jie Xing, Ping-Ping Zhang
2022 J jnl
Adaptive loss function based least squares one-class support vector machine.
Pattern Recognit. Lett.
Hong-Jie Xing, Zi-Chuan He
2021 J jnl
Robust sparse coding for one-class classification based on correntropy and logarithmic penalty function.
Pattern Recognit.
Hong-Jie Xing, Ya-Jie Liu, Zi-Chuan He
2020 J jnl
Robust AdaBoost based ensemble of one-class support vector machines.
Inf. Fusion
Hong-Jie Xing, Wei-Tao Liu
2020 J jnl
Robust least squares one-class support vector machine.
Pattern Recognit. Lett.
Hong-Jie Xing, Li-Fei Li
2018 J jnl
Robust one-class support vector machine with rescaled hinge loss function.
Pattern Recognit.
Hong-Jie Xing, Man Ji
2018 Misc conf
Rotation Based Ensemble of One-Class Support Vector Machines.
ICMLC
Wei-Tao Liu, Hong-Jie Xing
2017 J jnl
Selective ensemble of SVDDs with Renyi entropy based diversity measure.
Pattern Recognit.
Hong-Jie Xing, Xi-Zhao Wang
2016 J jnl
An Optimization Approach of Deriving Bounds between Entropy and Error from Joint Distribution: Case Study for Binary Classifications.
Entropy
Bao-Gang Hu, Hong-Jie Xing
2016 Misc conf
Correntropy based self-organizing map.
ICMLC
Qing-Zhen Shang, Hong-Jie Xing
2015 J jnl
A Study on Relationship Between Generalization Abilities and Fuzziness of Base Classifiers in Ensemble Learning.
IEEE Trans. Fuzzy Syst.
Xizhao Wang, Hong-Jie Xing, Yan Li, Qiang Hua, Chun-Ru Dong, Witold Pedrycz
2014 B conf
Classification of BGP anomalies using decision trees and fuzzy rough sets.
SMC
Yan Li, Hong-Jie Xing, Qiang Hua, Xi-Zhao Wang, Prerna Batta, Soroush Haeri, Ljiljana Trajkovic
2014 J jnl
Further improvements in Feature-Weighted Fuzzy C-Means.
Inf. Sci.
Hong-Jie Xing, Minghu Ha
2014 J jnl
Regularized correntropy criterion based feature extraction for novelty detection.
Neurocomputing
Hong-Jie Xing, Huan-Ru Ren
2013 J jnl
A New Approach of Deriving Bounds between Entropy and Error from Joint Distribution: Case Study for Binary Classifications
CoRR
Bao-Gang Hu, Hong-Jie Xing
2013 J jnl
Training extreme learning machine via regularized correntropy criterion.
Neural Comput. Appl.
Hong-Jie Xing, Xin-Mei Wang
2012 J jnl
Analytical Bounds between Entropy and Error Probability in Binary Classifications
CoRR
Bao-Gang Hu, Hong-Jie Xing
2012 Misc conf
Modified AdaBoost based OCSVM ensemble for image retrieval.
ICMLC
Hong-Jie Xing, Jian-Guo Wu, Xue-Fang Chen
2012 B conf
Robust feature extraction for novelty detection based on regularized correntropy criterion.
SMC
Huan-Ru Ren, Hong-Jie Xing
2012 — conf
Selective Ensemble of Support Vector Data Descriptions for Novelty Detection.
ISNN (1)
Hong-Jie Xing, Xue-Fang Chen
2011 B conf
A comparative experimental study of feature-weight learning approaches.
SMC
Hong-Jie Xing, Xizhao Wang, Minghu Ha
2011 B conf
A modified AdaBoost method for one-class SVM and its application to novelty detection.
SMC
Xue-Fang Chen, Hong-Jie Xing, Xi-Zhao Wang
2011 J jnl
Chance-constrained programming on sugeno measure space.
Expert Syst. Appl.
Hong Zhang, Minghu Ha, Hong-Jie Xing
2011 J jnl
Two-stage dimensionality reduction approach based on 2DLDA and fuzzy rough sets technique.
Neurocomputing
Hao-Xin Zhao, Hong-Jie Xing, Xi-Zhao Wang
2009 J jnl
The expected value models on Sugeno measure space.
Int. J. Approx. Reason.
Minghu Ha, Hong Zhang, Witold Pedrycz, Hong-Jie Xing
2009 J jnl
Two-Phase Construction of Multilayer Perceptrons Using Information Theory.
IEEE Trans. Neural Networks
Hong-Jie Xing, Bao-Gang Hu
2008 B conf
A novel support vector machine with its features weighted by mutual information.
IJCNN
Hong-Jie Xing, Minghu Ha, Da-Zeng Tian, Bao-Gang Hu
2008 J jnl
An adaptive fuzzy c-means clustering-based mixtures of experts model for unlabeled data classification.
Neurocomputing
Hong-Jie Xing, Bao-Gang Hu
2008 B conf
Application of kernel learning vector quantization to novelty detection.
SMC
Hong-Jie Xing, Xizhao Wang, Ruixian Zhu, Dan Wang
2006 — conf
Knowledge Discovery and Integration Based on A Novel Neural Network Ensemble Model.
SKG
Yong Wang, Hong-Jie Xing
2005 — conf
Sparse Kernel Fisher Discriminant Analysis.
ISNN (1)
Hong-Jie Xing, Yu-Jiu Yang, Yong Wang, Bao-Gang Hu
2004 — conf
Geometric Interpretation of Nonlinear Approximation Capability for Feedforward Neural Networks.
ISNN (1)
Bao-Gang Hu, Hong-Jie Xing, Yu-Jiu Yang