Zhen Fang

According to our database, Zhen Fang authored at least 24 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

An Extremely Simple Algorithm for Source Domain Reconstruction.

Zhen Fang, Jie Lu, Guangquan Zhang

IEEE Trans. Cybern., March, 2024

Where and How to Transfer: Knowledge Aggregation-Induced Transferability Perception for Unsupervised Domain Adaptation.

Jiahua Dong, Yang Cong, Gan Sun, Zhen Fang, Zhengming Ding

IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

Multiclass Classification With Fuzzy-Feature Observations: Theory and Algorithms.

Guangzhi Ma, Jie Lu, Feng Liu, Zhen Fang, Guangquan Zhang

IEEE Trans. Cybern., February, 2024

Source-Free Unsupervised Domain Adaptation: Current research and future directions.

Ningyuan Zhang, Jie Lu, Keqiuyin Li, Zhen Fang, Guangquan Zhang

Neurocomputing, January, 2024

How Does Unlabeled Data Provably Help Out-of-Distribution Detection?

Xuefeng Du, Zhen Fang, Ilias Diakonikolas, Yixuan Li

CoRR, 2024

2023

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

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

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Semi-Supervised Heterogeneous Domain Adaptation: Theory and Algorithms.

Zhen Fang, Jie Lu, Feng Liu, Guangquan Zhang

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources.

Haotian Zheng, Qizhou Wang, Zhen Fang, Xiaobo Xia, Feng Liu, Tongliang Liu, Bo Han

CoRR, 2023

Learning to Augment Distributions for Out-of-Distribution Detection.

Qizhou Wang, Zhen Fang, Yonggang Zhang, Feng Liu, Yixuan Li, Bo Han

CoRR, 2023

One-step Domain Adaptation Approach with Partial Label.

Guohang Zeng, Zhen Fang, Guangquan Zhang, Jie Lu

Proceedings of the International Joint Conference on Neural Networks, 2023

Meta OOD Learning For Continuously Adaptive OOD Detection.

Xinheng Wu, Jie Lu, Zhen Fang, Guangquan Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Multi-model Transfer Learning and Genotypic Analysis for Seizure Type Classification.

Yue Yang, Kairui Guo, Zhen Fang, Hua Lin, Mark Grosser, Jie Lu

Proceedings of the Health Information Science - 12th International Conference, 2023

Multiple Teacher Model for Continual Test-Time Domain Adaptation.

Ran Wang, Hua Zuo, Zhen Fang, Jie Lu

Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

2022

Learning From a Complementary-Label Source Domain: Theory and Algorithms.

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

IEEE Trans. Neural Networks Learn. Syst., 2022

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

Guangzhi Ma, Jie Lu, Feng Liu, Zhen Fang, Guangquan Zhang

CoRR, 2022

Is Out-of-Distribution Detection Learnable?

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Federated Class-Incremental Learning.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Bridging Theory and Algorithms for Open-Set and Heterogeneous Domain Adaptations

Zhen Fang

PhD thesis, 2021

Open Set Domain Adaptation: Theoretical Bound and Algorithm.

Zhen Fang, Jie Lu, Feng Liu, Junyu Xuan, Guangquan Zhang

IEEE Trans. Neural Networks Learn. Syst., 2021

Confident Anchor-Induced Multi-Source Free Domain Adaptation.

Jiahua Dong, Zhen Fang, Anjin Liu, Gan Sun, Tongliang Liu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Bounds for Open-Set Learning.

Zhen Fang, Jie Lu, Anjin Liu, Feng Liu, Guangquan Zhang

Proceedings of the 38th International Conference on Machine Learning, 2021

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

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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

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

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

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Unsupervised Domain Adaptation with Sphere Retracting Transformation.

Zhen Fang, Jie Lu, Feng Liu, Guangquan Zhang

Proceedings of the International Joint Conference on Neural Networks, 2019