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Binhui Yao
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2020 – today
- 2024
- [c4]Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Meng Li, Weiming Liu, Binhui Yao, Yuyuan Li, Jianwei Yin:
Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems. AAAI 2024: 8463-8471 - [c3]Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Fengyuan Yu, Huabin Zhu, Binhui Yao, Tao Wang, Xiaolin Zheng, Yanchao Tan:
Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data. CVPR 2024: 22841-22850 - [i4]Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Fengyuan Yu, Huabin Zhu, Binhui Yao, Tao Wang, Xiaolin Zheng, Yanchao Tan:
Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data. CoRR abs/2403.16398 (2024) - 2023
- [c2]Xinting Liao, Weiming Liu, Xiaolin Zheng, Binhui Yao, Chaochao Chen:
PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation. AAAI 2023: 4453-4461 - [c1]Fei Zheng, Chaochao Chen, Lingjuan Lyu, Binhui Yao:
Reducing Communication for Split Learning by Randomized Top-k Sparsification. IJCAI 2023: 4665-4673 - [i3]Xinting Liao, Weiming Liu, Xiaolin Zheng, Binhui Yao, Chaochao Chen:
PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation. CoRR abs/2305.16163 (2023) - [i2]Fei Zheng, Chaochao Chen, Lingjuan Lyu, Binhui Yao:
Reducing Communication for Split Learning by Randomized Top-k Sparsification. CoRR abs/2305.18469 (2023) - 2022
- [i1]Fei Zheng, Chaochao Chen, Binhui Yao, Xiaolin Zheng:
Making Split Learning Resilient to Label Leakage by Potential Energy Loss. CoRR abs/2210.09617 (2022)
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last updated on 2024-10-07 01:24 CEST by the dblp team
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