Geometric Interpretation of Nonlinear Approximation Capability for Feedforward Neural Networks. - Bao-Gang Hu; Hong-Jie Xing; Yujiu Yang (ISNN (1), 2004)

Sparse Kernel Fisher Discriminant Analysis. - Hong-Jie Xing; Yujiu Yang; Yong Wang; Bao-Gang Hu (ISNN (1), 2005)

Knowledge Discovery and Integration Based on A Novel Neural Network Ensemble Model. - Yong Wang; Hong-Jie Xing (SKG, 2006)

A novel support vector machine with its features weighted by mutual information. - Hong-Jie Xing; Minghu Ha 001; Da-Zeng Tian; Bao-Gang Hu (IJCNN, 2008)

Application of kernel learning vector quantization to novelty detection. - Hong-Jie Xing; Xizhao Wang; Ruixian Zhu; Dan Wang (SMC, 2008)

An adaptive fuzzy c-means clustering-based mixtures of experts model for unlabeled data classification. - Hong-Jie Xing; Bao-Gang Hu (Neurocomputing, 2008)

The expected value models on Sugeno measure space. - Minghu Ha 001; Hong Zhang; Witold Pedrycz; Hong-Jie Xing (Int. J. Approx. Reason., 2009)

Two-Phase Construction of Multilayer Perceptrons Using Information Theory. - Hong-Jie Xing; Bao-Gang Hu (IEEE Trans. Neural Networks, 2009)

A modified AdaBoost method for one-class SVM and its application to novelty detection. - Xue-Fang Chen; Hong-Jie Xing; Xi-Zhao Wang (SMC, 2011)

A comparative experimental study of feature-weight learning approaches. - Hong-Jie Xing; Xizhao Wang; Minghu Ha 001 (SMC, 2011)

Chance-constrained programming on sugeno measure space. - Hong Zhang; Minghu Ha; Hong-Jie Xing (Expert Syst. Appl., 2011)

Two-stage dimensionality reduction approach based on 2DLDA and fuzzy rough sets technique. - Hao-Xin Zhao; Hong-Jie Xing; Xi-Zhao Wang (Neurocomputing, 2011)

Modified AdaBoost based OCSVM ensemble for image retrieval. - Hong-Jie Xing; Jian-Guo Wu; Xue-Fang Chen (ICMLC, 2012)

Selective Ensemble of Support Vector Data Descriptions for Novelty Detection. - Hong-Jie Xing; Xue-Fang Chen (ISNN (1), 2012)

Robust feature extraction for novelty detection based on regularized correntropy criterion. - Huan-Ru Ren; Hong-Jie Xing (SMC, 2012)

Analytical Bounds between Entropy and Error Probability in Binary Classifications - Bao-Gang Hu; Hong-Jie Xing (CoRR, 2012)

A New Approach of Deriving Bounds between Entropy and Error from Joint Distribution: Case Study for Binary Classifications - Bao-Gang Hu; Hong-Jie Xing (CoRR, 2013)

Training extreme learning machine via regularized correntropy criterion. - Hong-Jie Xing; Xin-Mei Wang (Neural Comput. Appl., 2013)

Classification of BGP anomalies using decision trees and fuzzy rough sets. - Yan Li 003; Hong-Jie Xing; Qiang Hua; Xi-Zhao Wang; Prerna Batta; Soroush Haeri; Ljiljana Trajkovic (SMC, 2014)

Regularized correntropy criterion based feature extraction for novelty detection. - Hong-Jie Xing; Huan-Ru Ren (Neurocomputing, 2014)

Further improvements in Feature-Weighted Fuzzy C-Means. - Hong-Jie Xing; Minghu Ha (Inf. Sci., 2014)

A Study on Relationship Between Generalization Abilities and Fuzziness of Base Classifiers in Ensemble Learning. - Xizhao Wang; Hong-Jie Xing; Yan Li 003; Qiang Hua; Chun-Ru Dong; Witold Pedrycz (IEEE Trans. Fuzzy Syst., 2015)

Correntropy based self-organizing map. - Qing-Zhen Shang; Hong-Jie Xing (ICMLC, 2016)

An Optimization Approach of Deriving Bounds between Entropy and Error from Joint Distribution: Case Study for Binary Classifications. - Bao-Gang Hu; Hong-Jie Xing (Entropy, 2016)

Selective ensemble of SVDDs with Renyi entropy based diversity measure. - Hong-Jie Xing; Xi-Zhao Wang (Pattern Recognit., 2017)

Rotation Based Ensemble of One-Class Support Vector Machines. - Wei-Tao Liu; Hong-Jie Xing (ICMLC, 2018)

Robust one-class support vector machine with rescaled hinge loss function. - Hong-Jie Xing; Man Ji (Pattern Recognit., 2018)

Robust AdaBoost based ensemble of one-class support vector machines. - Hong-Jie Xing; Wei-Tao Liu (Inf. Fusion, 2020)

Robust least squares one-class support vector machine. - Hong-Jie Xing; Li-Fei Li (Pattern Recognit. Lett., 2020)

Robust sparse coding for one-class classification based on correntropy and logarithmic penalty function. - Hong-Jie Xing; Ya-Jie Liu; Zi-Chuan He (Pattern Recognit., 2021)

Adaptive loss function based least squares one-class support vector machine. - Hong-Jie Xing; Zi-Chuan He (Pattern Recognit. Lett., 2022)

Contrastive deep support vector data description. - Hong-Jie Xing; Ping-Ping Zhang (Pattern Recognit., 2023)

Deep multi-sphere support vector data description based on disentangled representation learning. - Hong-Jie Xing; Hui-Nan Wu; Ping-Ping Zhang (Pattern Recognit., 2024)

Bounded exponential loss function based AdaBoost ensemble of OCSVMs. - Hong-Jie Xing; Wei-Tao Liu; Xi-Zhao Wang (Pattern Recognit., 2024)

MulGad: Multi-granularity contrastive learning for multivariate time series anomaly detection. - Bo-Wen Xiao; Hong-Jie Xing; Chun-Guo Li (Inf. Fusion, 2025)