Weiming Zhuang
Orcid: 0000-0001-8243-7772
According to our database1,
Weiming Zhuang
authored at least 22 papers
between 2020 and 2024.
Collaborative distances:
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Bibliography
2024
Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Optimizing Performance of Federated Person Re-identification: Benchmarking and Analysis.
ACM Trans. Multim. Comput. Commun. Appl., February, 2023
Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators.
CoRR, 2023
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions.
CoRR, 2023
Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
Toward a generic federated learning platform optimized for computer vision applications
PhD thesis, 2022
IEEE Internet Things J., 2022
Optimizing Federated Unsupervised Person Re-identification via Camera-aware Clustering.
Proceedings of the 24th IEEE International Workshop on Multimedia Signal Processing, 2022
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
2021
Towards Unsupervised Domain Adaptation for Deep Face Recognition under Privacy Constraints via Federated Learning.
CoRR, 2021
Joint Optimization in Edge-Cloud Continuum for Federated Unsupervised Person Re-identification.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
2020
Performance Optimization of Federated Person Re-identification via Benchmark Analysis.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020