Fan Zhou

Orcid: 0000-0003-1736-2641

Affiliations:

Université Laval, Québec, Canada

According to our database¹, Fan Zhou authored at least 23 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2024

Generalizing across Temporal Domains with Koopman Operators.

[BibT_eX]

[DOI]

CoRR, 2024

Generalizing across Temporal Domains with Koopman Operators.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Towards More General Loss and Setting in Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., October, 2023

Episodic task agnostic contrastive training for multi-task learning.

[BibT_eX]

[DOI]

Neural Networks, May, 2023

On the Benefits of Two Dimensional Metric Learning.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2023

On the value of label and semantic information in domain generalization.

[BibT_eX]

[DOI]

Neural Networks, 2023

Gap Minimization for Knowledge Sharing and Transfer.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2023

Hessian Aware Low-Rank Weight Perturbation for Continual Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-Stationary Environments.

[BibT_eX]

[DOI]

CoRR, 2023

An Efficient Driver Anomaly State Detection Approach Based on End-Cloud Integration and Unsupervised Learning.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-stationary Environment.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A novel domain adaptation theory with Jensen-Shannon divergence.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Evolving Domain Generalization.

[BibT_eX]

[DOI]

CoRR, 2022

Gap Minimization for Knowledge Sharing and Transfer.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Task Similarity Estimation Through Adversarial Multitask Neural Network.

[BibT_eX]

[DOI]

Fan Zhou

Changjian Shui

Mahdieh Abbasi

Louis-Émile Robitaille

Boyu Wang

Christian Gagné

IEEE Trans. Neural Networks Learn. Syst., 2021

Discriminative active learning for domain adaptation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Domain generalization via optimal transport with metric similarity learning.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Multi-task Learning by Leveraging the Semantic Information.

[BibT_eX]

[DOI]

Fan Zhou

Brahim Chaib-draa

Boyu Wang

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

2020

Beyond H-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence.

[BibT_eX]

[DOI]

CoRR, 2020

Domain Generalization with Optimal Transport and Metric Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Discriminative Active Learning for Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2020

Episodic Training for Domain Generalization Using Latent Domains.

[BibT_eX]

[DOI]

Proceedings of the Cognitive Systems and Signal Processing - 5th International Conference, 2020

Deep Active Learning: Unified and Principled Method for Query and Training.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Fan Zhou

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