A refined margin distribution analysis for forest representation learning SH Lyu, L Yang, ZH Zhou Advances in Neural Information Processing Systems 32, 5531-5541, 2019 | 20 | 2019 |
Improving deep forest by exploiting high-order interactions YH Chen*, SH Lyu*, Y Jiang Proceedings of the 21st IEEE International Conference on Data Mining, 1030-1035, 2021 | 12 | 2021 |
Improving generalization of deep neural networks by leveraging margin distribution SH Lyu, L Wang, ZH Zhou Neural Networks 151, 48-60, 2022 | 10* | 2022 |
Depth is more powerful than width with prediction concatenation in deep forest SH Lyu, YX He, ZH Zhou Advances in Neural Information Processing Systems 35, 29719-29732, 2022 | 4 | 2022 |
A region-based analysis for the feature concatenation in deep forests SH Lyu, YH Chen, ZH Zhou Chinese Journal of Electronics 31 (6), 1072-1080, 2022 | 3 | 2022 |
Interpreting deep forest through feature contribution and MDI feature importance YX He, SH Lyu, Y Jiang ACM Transactions on Knowledge Discovery from Data, 1-21, 2024 | 1 | 2024 |
On the consistency rate of decision tree learning algorithms QC Zheng, SH Lyu, SQ Zhang, Y Jiang, ZH Zhou Proceedings of the 26th International Conference on Artificial Intelligence …, 2023 | 1 | 2023 |
多标记学习中基于交互表示的深度森林方法 吕沈欢, 陈一赫, 姜远 软件学报 35 (4), 1934-1944, 2024 | | 2024 |