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Xi-Zhu Wu
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2020 – today
- 2023
- [j1]Xi-Zhu Wu, Wenkai Xu, Song Liu, Zhi-Hua Zhou:
Model Reuse With Reduced Kernel Mean Embedding Specification. IEEE Trans. Knowl. Data Eng. 35(1): 699-710 (2023) - 2022
- [c5]Yao-Xiang Ding, Xi-Zhu Wu, Kun Zhou, Zhi-Hua Zhou:
Pre-Trained Model Reusability Evaluation for Small-Data Transfer Learning. NeurIPS 2022 - 2020
- [c4]Liang Yang, Xi-Zhu Wu, Yuan Jiang, Zhi-Hua Zhou:
Multi-Label Learning with Deep Forest. ECAI 2020: 1634-1641 - [c3]Tian-Zuo Wang, Xi-Zhu Wu, Sheng-Jun Huang, Zhi-Hua Zhou:
Cost-effectively Identifying Causal Effects When Only Response Variable is Observable. ICML 2020: 10060-10069 - [i3]Xi-Zhu Wu, Wenkai Xu, Song Liu, Zhi-Hua Zhou:
Model Reuse with Reduced Kernel Mean Embedding Specification. CoRR abs/2001.07135 (2020)
2010 – 2019
- 2019
- [c2]Xi-Zhu Wu, Song Liu, Zhi-Hua Zhou:
Heterogeneous Model Reuse via Optimizing Multiparty Multiclass Margin. ICML 2019: 6840-6849 - [i2]Liang Yang, Xi-Zhu Wu, Yuan Jiang, Zhi-Hua Zhou:
Multi-Label Learning with Deep Forest. CoRR abs/1911.06557 (2019) - 2017
- [c1]Xi-Zhu Wu, Zhi-Hua Zhou:
A Unified View of Multi-Label Performance Measures. ICML 2017: 3780-3788 - 2016
- [i1]Xi-Zhu Wu, Zhi-Hua Zhou:
A Unified View of Multi-Label Performance Measures. CoRR abs/1609.00288 (2016)
Coauthor Index
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