主要成果 |
[1] Xinyao Guo, Wei Wei, Jianqing Liang, Chuangyin Dang, Jiye Liang. Metric learning via perturbing hard-to-classify instances [J]. Pattern Recognition. 2022, 132: 108928. [2] Xinyao Guo, Lin Li, Chuangyin Dang, Jiye Liang, Wei Wei. Multiple metric learning via local metric fusion [J]. Information Sciences. 2023, 621: 341–353. [3] Xinyao Guo, Chuangyin Dang, Jianqing Liang, Wei Wei, Jiye Liang. Metric learning with clustering-based constraints [J]. International Journal of Machine Learning and Cybernetics. 2021, 12(12): 3597–3605. [4] Jing Yan, Wei Wei, Xinyao Guo, Chuangyin Dang, Jiye Liang. A bi-level metric learning framework via self-paced learning weighting [J]. Pattern Recognition. 2023, 139: 109446. [5] Wei Wei, Jiye Liang, Xinyao Guo, Peng Song, Yijun Sun. Hierarchical division clustering framework for categorical data [J]. Neurocomputing. 2019, 341: 118–134. [6] Lin Li, Ting Li, Wei Wei, Xinyao Guo, Jiye Liang. Hierarchical metric learning with intra-level and inter-level regularization. International Journal of Machine Learning and Cybernetics. 2022, 13(12): 4033–4042. [7] 韩露, 郭鑫垚, 魏巍, 梁吉业. 基于约束分层的多度量学习算法[J]. 山东大学学报(理学版). 2022, (004): 057. [8] 王鑫, 郭鑫垚, 魏巍, 梁吉业. 对抗样本三元组约束的度量学习算法[J]. 智能系统学报. 2021, 16(1): 8. |