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 34 papers between 2016 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Stable Learning via Dual Feature Learning.
IEEE Trans. Big Data, August, 2025

MtpNet: Multi-Task Panoptic Driving Perception Network.
IEEE Trans. Intell. Transp. Syst., June, 2025

Transformer-Based Intelligent Prediction Model for Multimodal Multi-Objective Optimization.
IEEE Comput. Intell. Mag., February, 2025

Improving diversity and invariance for single domain generalization.
Inf. Sci., 2025

Learnable self-supervised support vector machine based individual selection strategy for multimodal multi-objective optimization.
Inf. Sci., 2025

A multimodal multi-objective evolutionary algorithm assisted by long short term memory.
Inf. Sci., 2025

Position encoding of global attention for weakly supervised entity alignment.
Neurocomputing, 2025

A two-stage framework for pig disease knowledge graph fusing.
Comput. Electron. Agric., 2025

Clustering-based recommendation method with enhanced grasshopper optimisation algorithm.
CAAI Trans. Intell. Technol., 2025

2024
Adaptive and Communication-Efficient Zeroth-Order Optimization for Distributed Internet of Things.
IEEE Internet Things J., November, 2024

Stable Learning via Triplex Learning.
IEEE Trans. Artif. Intell., October, 2024

Hybrid IoT Device Selection With Knowledge Transfer for Federated Learning.
IEEE Internet Things J., April, 2024

Causality-inspired Domain Expansion network for single domain generalization.
Knowl. Based Syst., 2024

Causal Multi-Label Feature Selection in Federated Setting.
CoRR, 2024

Practical Single Domain Generalization via Training-time and Test-time Learning.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023
LncRNA-protein interaction prediction with reweighted feature selection.
BMC Bioinform., December, 2023

Causal Feature Selection in the Presence of Sample Selection Bias.
ACM Trans. Intell. Syst. Technol., October, 2023

Learning Causal Representations for Robust Domain Adaptation.
IEEE Trans. Knowl. Data Eng., March, 2023

2022
Dual-Representation-Based Autoencoder for Domain Adaptation.
IEEE Trans. Cybern., 2022

Towards Efficient Local Causal Structure Learning.
IEEE Trans. Big Data, 2022

Bootstrap-based Causal Structure Learning.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Improving Gradient-based DAG Learning by Structural Asymmetry.
Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

Accelerating Learning Bayesian Network Structures by Reducing Redundant CI Tests.
Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

2020
Semi-supervised representation learning via dual autoencoders for domain adaptation.
Knowl. Based Syst., 2020

Superpixel generation for polarimetric SAR using Hierarchical Energy maximization.
Comput. Geosci., 2020

Representation learning via serial robust autoencoder for domain adaptation.
Expert Syst. Appl., 2020

Markov Boundary Learning With Streaming Data for Supervised Classification.
IEEE Access, 2020

2019
Representation learning via serial autoencoders for domain adaptation.
Neurocomputing, 2019

Marginalized Stacked Denoising Autoencoder With Adaptive Noise Probability for Cross Domain Classification.
IEEE Access, 2019

The ℓ<sub>2</sub>,1-Norm Stacked Robust Autoencoders via Adaptation Regularization for Domain Adaptation.
Proceedings of the Artificial Intelligence and Security - 5th International Conference, 2019

Nonlinear Cross-Domain Feature Representation Learning Method Based on Dual Constraints.
Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

2017
Superpixel-based classification using semantic information for polarimetric SAR imagery.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
Adaptive Coherency Matrix Estimation for Polarimetric SAR Imagery Based on Local Heterogeneity Coefficients.
IEEE Trans. Geosci. Remote. Sens., 2016

Evaluation of entropy/alpha/anisotropy based on adaptive coherency matrix estimation.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016


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