Zhekai Du

Orcid: 0000-0002-9406-3920

According to our database¹, Zhekai Du authored at least 24 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

Adaptive online continual multi-view learning.

[BibT_eX]

[DOI]

Inf. Fusion, March, 2024

Split to Merge: Unifying Separated Modalities for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2024

Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Online continual learning with declarative memory.

[BibT_eX]

[DOI]

Neural Networks, 2023

Alleviating the generalization issue in adversarial domain adaptation networks.

[BibT_eX]

[DOI]

Image Vis. Comput., 2023

Imbalanced Open Set Domain Adaptation via Moving-threshold Estimation and Gradual Alignment.

[BibT_eX]

[DOI]

CoRR, 2023

A Comprehensive Survey on Source-free Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2023

Diffusion-Based Probabilistic Uncertainty Estimation for Active Domain Adaptation.

[BibT_eX]

[DOI]

Zhekai Du

Jingjing Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Noise-Robust Continual Test-Time Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Exploring Low-Dimensional Manifolds of Deep Neural Network Parameters for Improved Model Optimization.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Cross-Domain Adaptative Learning for Online Advertisement Customer Lifetime Value Prediction.

[BibT_eX]

[DOI]

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

2022

Resource-Efficient Distributed Deep Neural Networks Empowered by Intelligent Software-Defined Networking.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Serv. Manag., December, 2022

Divergence-Agnostic Unsupervised Domain Adaptation by Adversarial Attacks.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Source-Free Active Domain Adaptation via Energy-Based Locality Preserving Transfer.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Energy-Based Domain Generalization for Face Anti-Spoofing.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Towards Distributed Communication and Control in Real-World Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2022

Interpretable Open-Set Domain Adaptation via Angular Margin Separation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Adversarial Energy Disaggregation.

[BibT_eX]

[DOI]

Trans. Data Sci., 2021

Local-Global Attentive Adaptation for Object Detection.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2021

Adversarial Energy Disaggregation for Non-intrusive Load Monitoring.

[BibT_eX]

[DOI]

CoRR, 2021

CMRD-Net: An Improved Method for Underwater Image Enhancement.

[BibT_eX]

[DOI]

Proceedings of the MMAsia '21: ACM Multimedia Asia, Gold Coast, Australia, December 1, 2021

Learning Transferrable and Interpretable Representations for Domain Generalization.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Joint metric and feature representation learning for unsupervised domain adaptation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

Zhekai Du

Timeline

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