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2020 – today
- 2024
[j3]Zhi-Hua Zhou, Zhi-Hao Tan:
Learnware: small models do big. Sci. China Inf. Sci. 67(1) (2024)- [j2]Peng Tan
, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou:
Towards enabling learnware to handle heterogeneous feature spaces. Mach. Learn. 113(4): 1839-1860 (2024) - [c6]Jian-Dong Liu, Zhi-Hao Tan, Zhi-Hua Zhou:
Towards Making Learnware Specification and Market Evolvable. AAAI 2024: 13909-13917 - [c5]Zhi-Hao Tan, Jian-Dong Liu, Xiao-Dong Bi, Peng Tan, Qin-Cheng Zheng, Hai-Tian Liu, Yi Xie, Xiao-Chuan Zou, Yang Yu, Zhi-Hua Zhou:
Beimingwu: A Learnware Dock System. KDD 2024: 5773-5782 - [i2]Zhi-Hao Tan, Jian-Dong Liu, Xiao-Dong Bi, Peng Tan, Qin-Cheng Zheng, Hai-Tian Liu, Yi Xie, Xiao-Chuan Zou, Yang Yu, Zhi-Hua Zhou:
Beimingwu: A Learnware Dock System. CoRR abs/2401.14427 (2024) - 2023
- [c4]Yi Xie, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou:
Identifying Helpful Learnwares Without Examining the Whole Market. ECAI 2023: 2752-2759 - [c3]Peng Tan, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou:
Handling Learnwares Developed from Heterogeneous Feature Spaces without Auxiliary Data. IJCAI 2023: 4235-4243 - 2022
- [c2]Zhi-Hao Tan, Yi Xie, Yuan Jiang, Zhi-Hua Zhou:
Real-Valued Backpropagation is Unsuitable for Complex-Valued Neural Networks. NeurIPS 2022 - [i1]Zhi-Hua Zhou, Zhi-Hao Tan:
Learnware: Small Models Do Big. CoRR abs/2210.03647 (2022) - 2020
- [j1]Zhi-Hao Tan, Peng Tan, Yuan Jiang, Zhi-Hua Zhou:
Multi-label optimal margin distribution machine. Mach. Learn. 109(3): 623-642 (2020)
2010 – 2019
- 2019
- [c1]Zhi-Hao Tan, Teng Zhang, Wei Wang:
Coreset Stochastic Variance-Reduced Gradient with Application to Optimal Margin Distribution Machine. AAAI 2019: 5083-5090
Coauthor Index
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