| 2026 | WACV | Fused Similarity Measure Based Alignment with Dual-Scale Adaptive Selection for Weakly Supervised Video Anomaly Detection. | Yue-Gao Lu, Hong-Jie Xing, Chun-Guo Li |
| 2018 | ICMLC | Rotation Based Ensemble of One-Class Support Vector Machines. | Wei-Tao Liu, Hong-Jie Xing |
| 2016 | ICMLC | Correntropy based self-organizing map. | Qing-Zhen Shang, Hong-Jie Xing |
| 2014 | SMC | Classification of BGP anomalies using decision trees and fuzzy rough sets. | Yan Li, Hong-Jie Xing, Qiang Hua, Xi-Zhao Wang, Prerna Batta, Soroush Haeri, Ljiljana Trajkovic |
| 2012 | ICMLC | Modified AdaBoost based OCSVM ensemble for image retrieval. | Hong-Jie Xing, Jian-Guo Wu, Xue-Fang Chen |
| 2012 | ISNN | Selective Ensemble of Support Vector Data Descriptions for Novelty Detection. | Hong-Jie Xing, Xue-Fang Chen |
| 2012 | SMC | Robust feature extraction for novelty detection based on regularized correntropy criterion. | Huan-Ru Ren, Hong-Jie Xing |
| 2011 | SMC | A modified AdaBoost method for one-class SVM and its application to novelty detection. | Xue-Fang Chen, Hong-Jie Xing, Xi-Zhao Wang |
| 2011 | SMC | A comparative experimental study of feature-weight learning approaches. | Hong-Jie Xing, Xizhao Wang, Minghu Ha |
| 2008 | IJCNN | A novel support vector machine with its features weighted by mutual information. | Hong-Jie Xing, Minghu Ha, Da-Zeng Tian, Bao-Gang Hu |
| 2008 | SMC | Application of kernel learning vector quantization to novelty detection. | Hong-Jie Xing, Xizhao Wang, Ruixian Zhu, Dan Wang |
| 2005 | ISNN | Sparse Kernel Fisher Discriminant Analysis. | Hong-Jie Xing, Yu-Jiu Yang, Yong Wang, Bao-Gang Hu |
| 2004 | ISNN | Geometric Interpretation of Nonlinear Approximation Capability for Feedforward Neural Networks. | Bao-Gang Hu, Hong-Jie Xing, Yu-Jiu Yang |