Shuai Fu

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024

Hyperspectral Attention Network for Object Tracking.

[BibT_eX]

[DOI]

Sensors, October, 2024

The Responses of Ozone to the Solar Eclipse on the 21st of June 2020 in the Mesosphere and Upper Stratosphere.

[BibT_eX]

[DOI]

Remote. Sens., January, 2024

Estimating Aboveground Biomass of Alpine Grassland During the Wilting Period Using In Situ Hyperspectral, Sentinel-2, and Sentinel-1 Data.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2024

Prediction of 10,000-hour rate of civil aviation incidents based on grey Markov model.

[BibT_eX]

[DOI]

J. Comput. Methods Sci. Eng., 2024

MoPD: Mixture-of-Prompts Distillation for Vision-Language Models.

[BibT_eX]

[DOI]

Yang Chen

Shuai Fu

Yu Zhang

CoRR, 2024

GeckoGraph: A Visual Language for Polymorphic Types.

[BibT_eX]

[DOI]

Shuai Fu

Tim Dwyer

Peter J. Stuckey

CoRR, 2024

Goanna: Resolving Haskell Type Errors With Minimal Correction Subsets.

[BibT_eX]

[DOI]

CoRR, 2024

Rendering Graphs for Graph Reasoning in Multimodal Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Estimating alfalfa fiber components using machine learning algorithms based on in situ hyperspectral and Sentinel-2 data in the Hexi Corridor region.

[BibT_eX]

[DOI]

Comput. Electron. Agric., 2024

Enhancing Sharpness-Aware Minimization by Learning Perturbation Radius.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Nemesis: Normalizing the Soft-prompt Vectors of Vision-Language Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

AYOLOv8: Improved Detector Based on YOLOv8 to Focus More on Small and Medium Objects.

[BibT_eX]

[DOI]

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

2023

Prognostic and Health Management of Critical Aircraft Systems and Components: An Overview.

[BibT_eX]

[DOI]

Shuai Fu

Nicolas P. Avdelidis

Sensors, October, 2023

Learning cross-domain representations by vision transformer for unsupervised domain adaptation.

[BibT_eX]

[DOI]

Yifan Ye

Shuai Fu

Jing Chen

Neural Comput. Appl., May, 2023

CNNs/ViTs-CNNs/ViTs: Mutual distillation for unsupervised domain adaptation.

[BibT_eX]

[DOI]

Inf. Sci., April, 2023

Cooperative attention generative adversarial network for unsupervised domain adaptation.

[BibT_eX]

[DOI]

Shuai Fu

Jing Chen

Liang Lei

Knowl. Based Syst., 2023

A Study on the Impact of Non-confounding Covariates on the Inferential Performance of Methods based on the Potential Outcome Framework.

[BibT_eX]

[DOI]

Yonghe Zhao

Shuai Fu

Huiyan Sun

CoRR, 2023

ChameleonIDE: Untangling Type Errors Through Interactive Visualization and Exploration.

[BibT_eX]

[DOI]

Proceedings of the 31st IEEE/ACM International Conference on Program Comprehension, 2023

A Prognostic Approach to Improve System Reliability for Aircraft System.

[BibT_eX]

[DOI]

Shuai Fu

Nicolas P. Avdelidis

Ian K. Jennions

Proceedings of the 7th International Conference on System Reliability and Safety, 2023

Learning Retrieval Augmentation for Personalized Dialogue Generation.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2021

Education Information Network Terminal Big Data Analysis Response and Monitoring System.

[BibT_eX]

[DOI]

Lei Ma

Xinyu Lv

Shuai Fu

Proceedings of the e-Learning, e-Education, and Online Training, 2021

2020

A soft computing model based on asymmetric Gaussian mixtures and Bayesian inference.

[BibT_eX]

[DOI]

Shuai Fu

Nizar Bouguila

Soft Comput., 2020

A human error mechanism for pilot based on fault tree analysis and Bayesian network.

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 2020

2018

Bayesian Learning of Finite Asymmetric Gaussian Mixtures.

[BibT_eX]

[DOI]

Shuai Fu

Nizar Bouguila

Proceedings of the Recent Trends and Future Technology in Applied Intelligence, 2018

Asymmetric Gaussian-Based Statistical Models Using Markov Chain Monte Carlo Techniques for Image Categorization.

[BibT_eX]

[DOI]

Shuai Fu

Nizar Bouguila

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

A Bayesian Intrusion Detection Framework.

[BibT_eX]

[DOI]

Shuai Fu

Nizar Bouguila

Proceedings of the 2018 International Conference on Cyber Security and Protection of Digital Services, 2018

Asymmetric Gaussian Mixtures with Reversible Jump MCMC.

[BibT_eX]

[DOI]

Shuai Fu

Nizar Bouguila

Proceedings of the 2018 IEEE Canadian Conference on Electrical & Computer Engineering, 2018

2016

A robust and privacy-preserving aggregation scheme for secure smart grid communications in digital communities.

[BibT_eX]

[DOI]

Secur. Commun. Networks, 2016

2015

A privacy-preserving data collection model for digital community.

[BibT_eX]

[DOI]

Hongtao Li

Jianfeng Ma

Shuai Fu

Sci. China Inf. Sci., 2015

Strict approximate pattern matching with general gaps.

[BibT_eX]

[DOI]

Appl. Intell., 2015

2014

A Game Theory Based Vertical Handoff Scheme for Wireless Heterogeneous Networks.

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on Mobile Ad-hoc and Sensor Networks, 2014

2013

Energy-Balanced Separating Algorithm for Cluster-Based Data Aggregation in Wireless Sensor Networks.

[BibT_eX]

[DOI]

Int. J. Distributed Sens. Networks, 2013

2012

Estimating discrete Markov models from various incomplete data schemes.

[BibT_eX]

[DOI]

Alberto Pasanisi

Shuai Fu

Nicolas Bousquet

Comput. Stat. Data Anal., 2012

2009

Risk Perception in Modeling Malware Propagation in Networks.

[BibT_eX]

[DOI]

Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

2008

Modeling Malicious Code Spread in Scale-Free Networks of Moving Agents.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computer Science and Software Engineering, 2008

Shuai Fu

Bibliography

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