Xiaofeng Cao
Orcid: 0000-0001-5816-1059Affiliations:
- Jilin University, School of Artificial Intelligence, Changchun, China
- University of Technology Sydney, Australian Artificial Intelligence Institute, Advanced Analytics Institute, Australia (PhD 2021)
According to our database1,
Xiaofeng Cao
authored at least 36 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024
Refining Euclidean Obfuscatory Nodes Helps: A Joint-Space Graph Learning Method for Graph Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., September, 2024
IEEE Trans. Neural Networks Learn. Syst., September, 2024
Pattern Recognit., April, 2024
Enhancing Locally Adaptive Smoothing of Graph Neural Networks Via Laplacian Node Disagreement.
IEEE Trans. Knowl. Data Eng., March, 2024
IEEE Trans. Intell. Transp. Syst., February, 2024
Breaking the curse of dimensional collapse in graph contrastive learning: A whitening perspective.
Inf. Sci., February, 2024
Sharpness-Aware Minimization Activates the Interactive Teaching's Understanding and Optimization.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
2023
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023
Knowl. Based Syst., November, 2023
Inf. Sci., November, 2023
Improving generalization of double low-rank representation using Schatten-<i>p</i> norm.
Pattern Recognit., June, 2023
Pattern Recognit., April, 2023
CoRR, 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
Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships.
Proceedings of the International Conference on Machine Learning, 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
2021
Pattern Anal. Appl., 2021
2020
Expert Syst. Appl., 2020
2019
IEEE Trans. Neural Networks Learn. Syst., 2019
BorderShift: toward optimal MeanShift vector for cluster boundary detection in high-dimensional data.
Pattern Anal. Appl., 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019