Shuai Yang

Orcid: 0000-0002-1837-0515

Affiliations:

Hefei University of Technology, School of Computer Science and Information Engineering, Anhui, China

According to our database¹, Shuai Yang authored at least 23 papers between 2019 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2025

Improving diversity and invariance for single domain generalization.

[BibT_eX]

[DOI]

Inf. Sci., 2025

Learnable self-supervised support vector machine based individual selection strategy for multimodal multi-objective optimization.

[BibT_eX]

[DOI]

Inf. Sci., 2025

2024

Adaptive and Communication-Efficient Zeroth-Order Optimization for Distributed Internet of Things.

[BibT_eX]

[DOI]

IEEE Internet Things J., November, 2024

Stable Learning via Triplex Learning.

[BibT_eX]

[DOI]

IEEE Trans. Artif. Intell., October, 2024

Hybrid IoT Device Selection With Knowledge Transfer for Federated Learning.

[BibT_eX]

[DOI]

IEEE Internet Things J., April, 2024

Causality-inspired Domain Expansion network for single domain generalization.

[BibT_eX]

[DOI]

Shuai Yang

Zhen Zhang

Lichuan Gu

Knowl. Based Syst., 2024

Causal Multi-Label Feature Selection in Federated Setting.

[BibT_eX]

[DOI]

CoRR, 2024

Practical Single Domain Generalization via Training-time and Test-time Learning.

[BibT_eX]

[DOI]

Shuai Yang

Zhen Zhang

Lichuan Gu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

LncRNA-protein interaction prediction with reweighted feature selection.

[BibT_eX]

[DOI]

BMC Bioinform., December, 2023

Causal Feature Selection in the Presence of Sample Selection Bias.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., October, 2023

Learning Causal Representations for Robust Domain Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., March, 2023

2022

Dual-Representation-Based Autoencoder for Domain Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Towards Efficient Local Causal Structure Learning.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, 2022

Bootstrap-based Causal Structure Learning.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Improving Gradient-based DAG Learning by Structural Asymmetry.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

Accelerating Learning Bayesian Network Structures by Reducing Redundant CI Tests.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

2020

Semi-supervised representation learning via dual autoencoders for domain adaptation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

Representation learning via serial robust autoencoder for domain adaptation.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2020

Markov Boundary Learning With Streaming Data for Supervised Classification.

[BibT_eX]

[DOI]

Chaofan Liu

Shuai Yang

Kui Yu

IEEE Access, 2020

2019

Representation learning via serial autoencoders for domain adaptation.

[BibT_eX]

[DOI]

Neurocomputing, 2019

Marginalized Stacked Denoising Autoencoder With Adaptive Noise Probability for Cross Domain Classification.

[BibT_eX]

[DOI]

IEEE Access, 2019

The ℓ _2, 1 -Norm Stacked Robust Autoencoders via Adaptation Regularization for Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence and Security - 5th International Conference, 2019

Nonlinear Cross-Domain Feature Representation Learning Method Based on Dual Constraints.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

Shuai Yang

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