[1] Gaoxia Jiang, Wenjian Wang, Yuhua Qian, Jiye Liang. A unified sample selection framework for output noise filtering: an error-bound perspective. Journal of Machine Learning Research, 2021, 22(18): 1-66.

[2] Yaqing Guo, Wenjian Wang, Xuejun Wang. A robust linear regression feature selection method for data sets with unknown noise. IEEE Trans. on Knowledge and Data Engineering, 2023, 35(1): 31-44.1

[3] Xu, Hang, Wenjian Wang, Qian, Yuhua. Fusing Complete Monotonic Decision Trees. IEEE Transactions on Knowledge and Data Engineering, 2017, 29(10): 2223-2235.

[4] Hang Xu, Lifang Ren, Wenjian Wang. A service selection method based on ordinal classification for historical records. IEEE Transactions on Services Computing, 2022, 15(3): 1321-1333.

[5] Lifang Ren, Wenjian Wang. A granular SVM-based method for Top-N web services recommendation. IEEE Transactions on Services Computing, 2022, 15(1): 457-469.

[6] Lifang Ren, Wenjian Wang, Hang Xu. A reinforcement learning method for constraint-satisfied services composition. IEEE Transactions on Services Computing, 2020, 13(5): 786-800.

[7] [63] Yudong Liang, Bin Wang, Wenqi Ren, Jiaying Liu, Wenjian Wang, Wangmeng Zuo. Learning Hierarchical Dynamics with Spatial Adjacency for Image Enhancement. ACM Multimedia 2022, 2767–2776.

[8] Liang Du, Peng Zhou, Lei Shi, HanmoWang, Mingyu Fan, WenjianWang, Yi-Dong Shen*. Robust Multiple Kernel K-means Clustering using L2,1-norm. Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI), 2015，3476-3482.

[9] Anyang Tong, Chao Tang, Wenjian Wang. Semi-supervised Action Recognition from Temporal Augmentation Using Curriculum Learning. IEEE Transactions on Circuits and Systems for Video Technology, 2023, 33(3): 1305-1319.

[10] Husheng Guo, Shuai Zhang, WenjianWang. Selective Ensemble-Based Online Adaptive Deep Neural Networks for Streaming Data with Concept Drift. Neural Networks, 2021, 142: 467-456.

[11] Hangyuan Du, Wenjian Wang, Liang Bai. Dual-channel embedding learning model for partially labelled attributed networks: A Mutual Information Perspective. Pattern Recognition, 2023, 142: 109644.

[12] Gaoxia Jiang, Wenjian Wang. Error estimation based on variance analysis of k-fold cross-validation. Pattern Recognition, 2017, 69: 94-106.

[13] Husheng Guo, Wenjian Wang. An active learning-based SVM multi-class classification model. Pattern Recognition, 2015, 48:1577-1597.

[14] Hang Xu, Shuai Ma, Wenjian Wang. An ordered feature recognition method based on ranking separability. Information Sciences, 2023, 648: 119518.

[15] Xiaobo Qi, Wenjian Wang, Ying Shi, Hui Qi, Xiaofang Mu. An adaptive general unified representation frame for imbalanced interval-valued data. Information Sciences, 2023, 641: 119089.

[16] Husheng Guo, Haosen Xia, Hai Li, Wenjian Wang. Concept evolution detection based on noise reduction soft boundary. Information Sciences, 2023, 628: 391-408.

[17] Husheng Guo, Hai Li, Qiaoyan Ren, Wenjian Wang. Concept drift type identification based on multi-sliding windows. Information Sciences, 2022, 586: 1-23.

[18] Gaoxia Jiang, Wenjian Wang. Markov cross-validation for time series model evaluations. Information Science, 2017, 375: 219-233.

[19] Meng Tian, Wenjian Wang. An efficient Gaussian kernel optimization based on centred kernel polarization criterion. Information Sciences, 2015, 322: 133–149.

[20] Husheng Guo, Hai Li, Ni Sun, Qiaoyan Ren, Aijuan Zhang, Wenjian Wang. Concept drift detection and accelerated convergence of online learning. Knowledge and Information System, 2023, 65: 1005-1043.

[21] Yaqing Guo, WenjianWang. A robust adaptive linear regression method for severe noises. Knowledge and Information System, 2023, 65: 4613–4653.

[22] Meihong Su, Wenjian Wang. Elastic net penalized quantile regression model. Journal of Computational and Applied Mathematics, 2021, 392(6): 113462.

[23] Meihong Su, Wenjian Wang. A Network Lasso model for regression. Communications in Statistics – Theory and Methods, 2021,938125.

[24] 李飞江, 钱宇华, 王婕婷, 梁吉业, 王文剑. 基于样本稳定性的聚类方法. 中国科学: 信息科学, 2020, 50(8): 1239-1254.

[25] 杜航原, 王文剑, 白亮. 一种基于优化模型的演化数据流聚类方法. 中国科学：信息科学, 2017, 47(11): 1464-1482.