Xiaofeng Cao

Orcid: 0000-0001-5816-1059

Affiliations:

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:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

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Other

Bibliography

2024

Diversifying Policies With Non-Markov Dispersion to Expand the Solution Space.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Transductive Reward Inference on Graph.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., November, 2024

Refining Euclidean Obfuscatory Nodes Helps: A Joint-Space Graph Learning Method for Graph Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., September, 2024

Distribution Matching for Machine Teaching.

[BibT_eX]

[DOI]

Xiaofeng Cao

Ivor W. Tsang

IEEE Trans. Neural Networks Learn. Syst., September, 2024

Improving Augmentation Consistency for Graph Contrastive Learning.

[BibT_eX]

[DOI]

Pattern Recognit., April, 2024

Enhancing Locally Adaptive Smoothing of Graph Neural Networks Via Laplacian Node Disagreement.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., March, 2024

Hyperbolic Uncertainty Aware Semantic Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., February, 2024

Breaking the curse of dimensional collapse in graph contrastive learning: A whitening perspective.

[BibT_eX]

[DOI]

Inf. Sci., February, 2024

Sharpness-Aware Minimization Activates the Interactive Teaching's Understanding and Optimization.

[BibT_eX]

[DOI]

Mingwei Xu

Xiaofeng Cao

Ivor W. Tsang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

MetaRepair: Learning to Repair Deep Neural Networks from Repairing Experiences.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimization.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

Data-Efficient Learning via Minimizing Hyperspherical Energy.

[BibT_eX]

[DOI]

Xiaofeng Cao

Weiyang Liu

Ivor W. Tsang

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Towards fidelity of graph data augmentation via equivariance.

[BibT_eX]

[DOI]

Knowl. Based Syst., November, 2023

Taming over-smoothing representation on heterophilic graphs.

[BibT_eX]

[DOI]

Inf. Sci., November, 2023

Improving generalization of double low-rank representation using Schatten-<i>p</i> norm.

[BibT_eX]

[DOI]

Pattern Recognit., June, 2023

AdaNS: Adaptive negative sampling for unsupervised graph representation learning.

[BibT_eX]

[DOI]

Pattern Recognit., April, 2023

Aggregation Weighting of Federated Learning via Generalization Bound Estimation.

[BibT_eX]

[DOI]

CoRR, 2023

Nonparametric Teaching for Multiple Learners.

[BibT_eX]

[DOI]

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

Nonparametric Iterative Machine Teaching.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

2022

Shattering Distribution for Active Learning.

[BibT_eX]

[DOI]

Xiaofeng Cao

Ivor W. Tsang

IEEE Trans. Neural Networks Learn. Syst., 2022

Cold-Start Active Sampling Via γ-Tube.

[BibT_eX]

[DOI]

Xiaofeng Cao

Ivor W. Tsang

Jianliang Xu

IEEE Trans. Cybern., 2022

Distribution Disagreement via Lorentzian Focal Representation.

[BibT_eX]

[DOI]

Xiaofeng Cao

Ivor W. Tsang

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

Robust active representation via ℓ2, p-norm constraints.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

One-shot Machine Teaching: Cost Very Few Examples to Converge Faster.

[BibT_eX]

[DOI]

CoRR, 2022

A Survey of Learning on Small Data.

[BibT_eX]

[DOI]

CoRR, 2022

When an Active Learner Meets a Black-box Teacher.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Distribution-based Active Learning

[BibT_eX]

[DOI]

Xiaofeng Cao

PhD thesis, 2021

High-dimensional cluster boundary detection using directed Markov tree.

[BibT_eX]

[DOI]

Xiaofeng Cao

Pattern Anal. Appl., 2021

Bayesian Active Learning by Disagreements: A Geometric Perspective.

[BibT_eX]

[DOI]

Xiaofeng Cao

Ivor W. Tsang

CoRR, 2021

2020

A structured perspective of volumes on active learning.

[BibT_eX]

[DOI]

Xiaofeng Cao

Neurocomputing, 2020

A divide-and-conquer approach to geometric sampling for active learning.

[BibT_eX]

[DOI]

Xiaofeng Cao

Expert Syst. Appl., 2020

2019

Multidimensional Balance-Based Cluster Boundary Detection for High-Dimensional Data.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

BorderShift: toward optimal MeanShift vector for cluster boundary detection in high-dimensional data.

[BibT_eX]

[DOI]

Xiaofeng Cao

Baozhi Qiu

Guandong Xu

Pattern Anal. Appl., 2019

Learning Image-Specific Attributes by Hyperbolic Neighborhood Graph Propagation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Xiaofeng Cao

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