| Multi-label Optimal Margin Distribution Machine ZH Tan, P Tan, Y Jiang, ZH Zhou Machine Learning 109 (3), 623-642, 2020 | 33 | 2020 |
| Learnware: Small Models Do Big ZH Zhou, ZH Tan Science China Information Sciences 67 (1), 112102, 2024 | 14 | 2024 |
| Towards Enabling Learnware to Handle Heterogeneous Feature Spaces P Tan, ZH Tan, Y Jiang, ZH Zhou Machine Learning 113 (4), 1839-1860, 2024 | 7 | 2024 |
| Real-Valued Backpropagation is Unsuitable for Complex-Valued Neural Networks ZH Tan, Y Xie, Y Jiang, ZH Zhou Advances in Neural Information Processing Systems 35, 34052-34063, 2022 | 7 | 2022 |
| Geographic Location Estimation from ENF Signals with High Accuracy H Zhou, H Duanmu, J Li, Y Ma, J Shi, ZH Tan, X Wang, L Xiang, H Yin, ... Proceedings of the IEEE Signal Processing Cup, 2016 | 6 | 2016 |
| Handling Learnwares Developed from Heterogeneous Feature Spaces without Auxiliary Data P Tan, ZH Tan, Y Jiang, ZH Zhou Proceedings of the 32nd International Joint Conference on Artificial …, 2023 | 5 | 2023 |
| Coreset Stochastic Variance-Reduced Gradient with Application to Optimal Margin Distribution Machine ZH Tan, T Zhang, W Wang Proceedings of the 33th AAAI Conference on Artificial Intelligence 33 (01 …, 2019 | 4 | 2019 |
| Identifying Helpful Learnwares Without Examining the Whole Market Y Xie, ZH Tan, Y Jiang, ZH Zhou Proceedings of the 26th European Conference on Artificial Intelligence 372 …, 2023 | 2 | 2023 |
| Towards Making Learnware Specification and Market Evolvable JD Liu, ZH Tan, ZH Zhou Proceedings of the AAAI Conference on Artificial Intelligence 38 (12), 13909 …, 2024 | | 2024 |
| Beimingwu: A Learnware Dock System ZH Tan, JD Liu, XD Bi, P Tan, QC Zheng, HT Liu, Y Xie, XC Zou, Y Yu, ... arXiv preprint arXiv:2401.14427, 2024 | | 2024 |
| Supplementary Materials for Coreset Stochastic Variance-Reduced Gradient with Application to Optimal Margin Distribution Machine ZH Tan, T Zhang, W Wang | | 2019 |
Zhi-Hua ZhouNanjing University在 nju.edu.cn 的电子邮件经过验证
