Yonggang Zhang
Orcid: 0000-0002-4080-7592Affiliations:
- Hong Kong Baptist University, Department of Computer Science, Hong Kong
According to our database1,
Yonggang Zhang
authored at least 43 papers
between 2020 and 2025.
Collaborative distances:
Collaborative distances:
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on orcid.org
On csauthors.net:
Bibliography
2025
Int. J. Comput. Vis., February, 2025
IEEE Trans. Knowl. Data Eng., January, 2025
2024
Expert-level diagnosis of pediatric posterior fossa tumors via consistency calibration.
Knowl. Based Syst., 2024
CoRR, 2024
Rethinking Improved Privacy-Utility Trade-off with Pre-existing Knowledge for DP Training.
CoRR, 2024
Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
FedML Parrot: A Scalable Federated Learning System via Heterogeneity-aware Scheduling on Sequential and Hierarchical Training.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
2020
Proceedings of the 37th International Conference on Machine Learning, 2020