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Moderately Distributional Exploration for Domain Generalization


Apr 27, 2023
Rui Dai, Yonggang Zhang, Zhen Fang, Bo Han, Xinmei Tian

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* Accepted by ICML2023 

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Is Out-of-Distribution Detection Learnable?


Oct 26, 2022
Zhen Fang, Yixuan Li, Jie Lu, Jiahua Dong, Bo Han, Feng Liu

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* NeurIPS 2022 Oral 

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Multi-class Classification with Fuzzy-feature Observations: Theory and Algorithms


Jun 09, 2022
Guangzhi Ma, Jie Lu, Feng Liu, Zhen Fang, Guangquan Zhang

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* This article has been accepted by IEEE Transactions on Cybernetics on June 4, 2022 

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Federated Class-Incremental Learning


Mar 22, 2022
Jiahua Dong, Lixu Wang, Zhen Fang, Gan Sun, Shichao Xu, Xiao Wang, Qi Zhu

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* CVPR 2022, the first two authors contribute equally and they are ordered alphabetically 

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Learning Bounds for Open-Set Learning


Jun 30, 2021
Zhen Fang, Jie Lu, Anjin Liu, Feng Liu, Guangquan Zhang

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* Open-set Learning, Open-set Recognition, Machine Learning Theory 

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How does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches?


Dec 30, 2020
Li Zhong, Zhen Fang, Feng Liu, Jie Lu, Bo Yuan, Guangquan Zhang

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* 9 pages, 3 figures, Accepted by Association for the Advancement of Artificial Intelligence 2021 (AAAI 2021) 

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Learning from a Complementary-label Source Domain: Theory and Algorithms


Aug 04, 2020
Yiyang Zhang, Feng Liu, Zhen Fang, Bo Yuan, Guangquan Zhang, Jie Lu

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Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation


Jul 29, 2020
Yiyang Zhang, Feng Liu, Zhen Fang, Bo Yuan, Guangquan Zhang, Jie Lu

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* This paper has been accepted by IJCAI-PRICAI 2020 

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Bridging the Theoretical Bound and Deep Algorithms for Open Set Domain Adaptation


Jun 23, 2020
Li Zhong, Zhen Fang, Feng Liu, Bo Yuan, Guangquan Zhang, Jie Lu

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Open Set Domain Adaptation: Theoretical Bound and Algorithm


Jul 19, 2019
Zhen Fang, Jie Lu, Feng Liu, Junyu Xuan, Guangquan Zhang

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