| CS-ResNet: Cost-sensitive residual convolutional neural network for PCB cosmetic defect detection H Zhang, L Jiang, C Li Expert Systems with Applications 185, 115673, 2021 | 147 | 2021 |
| Attribute and instance weighted naive Bayes H Zhang, L Jiang, L Yu Pattern Recognition 111, 107674, 2021 | 111 | 2021 |
| Class-specific attribute value weighting for Naive Bayes H Zhang, L Jiang, L Yu Information Sciences 508, 260-274, 2020 | 87 | 2020 |
| Fine tuning attribute weighted naive Bayes H Zhang, L Jiang Neurocomputing 488, 402-411, 2022 | 26 | 2022 |
| Multi-view attribute weighted naive bayes H Zhang, L Jiang, W Zhang, C Li IEEE Transactions on Knowledge and Data Engineering 35 (7), 7291-7302, 2023 | 14 | 2023 |
| Rigorous non-disjoint discretization for naive Bayes H Zhang, L Jiang, GI Webb Pattern Recognition 140, 109554, 2023 | 11 | 2023 |
| Attribute augmented and weighted naive Bayes H Zhang, L Jiang, C Li Science China Information Sciences 65 (12), 222101, 2022 | 8 | 2022 |
| Gain ratio weighted inverted specific-class distance measure for nominal attributes F Gong, L Jiang, H Zhang, D Wang, X Guo International Journal of Machine Learning and Cybernetics 11, 2237-2246, 2020 | 8 | 2020 |
| Collaboratively weighted naive Bayes H Zhang, L Jiang, C Li Knowledge and Information Systems 63, 3159-3182, 2021 | 6 | 2021 |
| 一种双层贝叶斯模型: 随机森林朴素贝叶斯 张文钧， 蒋良孝， 张欢， 陈龙 计算机研究与发展 58 (9), 2040-2051, 2021 | 2 | 2021 |
| Dual-View Learning from Crowds H Zhang, L Jiang, W Zhang, GI Webb ACM Transactions on Knowledge Discovery from Data, 2025 | | 2025 |
| 一种基于偏差-方差权衡的贝叶斯分类学习框架 张文钧， 蒋良孝， 张欢， 胡成玉 中国科学: 信息科学 53 (6), 1078-1095, 2023 | | 2023 |
| 一种基于特征增广的生成-判别混合模型构建方法 张文钧， 蒋良孝， 张欢 中国科学: 信息科学 52 (10), 1792-1807, 2022 | | 2022 |
| 一种基于随机森林的伯努利朴素贝叶斯文本分类方法 蒋良孝， 张文钧， 张欢， 李超群 | | 2020 |
Liangxiao JiangChina University of Geosciences在 cug.edu.cn 的电子邮件经过验证