Naiyu Wang
Orcid: 0000-0003-1203-8770
According to our database1,
Naiyu Wang authored at least 30 papers
between 2018 and 2026.
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Bibliography
2026
Real-Time, Crowdsourcing-Enhanced Forecasting of Building Functionality During Urban Floods.
CoRR, March, 2026
From AI Weather Prediction to Infrastructure Resilience: A Correction-Downscaling Framework for Tropical Cyclone Impacts.
CoRR, March, 2026
Markov process-based real-time risk forecasting for transmission towers during tropical cyclones to support grid resilience.
Reliab. Eng. Syst. Saf., 2026
An epoch-weighted privacy budget allocation framework for fine-tuning large language models.
Sci. China Inf. Sci., 2026
Segmentation of PET/CT lung cancer lesion images via a semi-supervised improved SwinUNet model.
Biomed. Signal Process. Control., 2026
2025
From Forecast to Action: A Deep Learning Model for Predicting Power Outages During Tropical Cyclones.
CoRR, December, 2025
Balancing Differential Privacy and Utility: A Relevance-Based Adaptive Private Fine-Tuning Framework for Language Models.
IEEE Trans. Inf. Forensics Secur., 2025
Enhancing power grid resilience during tropical cyclones: Deep learning-based real-time wind forecast corrections for dynamic risk prediction.
Reliab. Eng. Syst. Saf., 2025
Proceedings of the 2025 IEEE Global Communications Conference, 2025
2024
An adaptive nested dynamic downscaling strategy of wind-field for real-time risk forecast of power transmission systems during tropical cyclones.
Reliab. Eng. Syst. Saf., February, 2024
FSLens: A Visual Analytics Approach to Evaluating and Optimizing the Spatial Layout of Fire Stations.
IEEE Trans. Vis. Comput. Graph., January, 2024
FedStream: A Federated Learning Framework on Heterogeneous Streaming Data for Next-Generation Traffic Analysis.
IEEE Trans. Netw. Sci. Eng., 2024
Regional-scale dynamic planning for distributing emergency supplies under evolving tropical cyclones.
Reliab. Eng. Syst. Saf., 2024
Forecasting road network functionality states during extreme rainfall events to facilitate real-time emergency response planning.
Reliab. Eng. Syst. Saf., 2024
A blockchain based privacy-preserving federated learning scheme for Internet of Vehicles.
Digit. Commun. Networks, 2024
FedIMP: Parameter Importance-based Model Poisoning attack against Federated learning system.
Comput. Secur., 2024
FUSE: a federated learning and U-shape split learning-based electricity theft detection framework.
Sci. China Inf. Sci., 2024
2023
Proceedings of the 2023 International Conference on Information Education and Artificial Intelligence, 2023
Proceedings of the IEEE International Conference on Communications, 2023
2022
IEEE Wirel. Commun., 2022
2021
ACM Trans. Internet Techn., 2021
Achieving efficient and Privacy-preserving energy trading based on blockchain and ABE in smart grid.
J. Parallel Distributed Comput., 2021
A heuristic method to identify optimum seismic retrofit strategies for critical infrastructure systems.
Comput. Aided Civ. Infrastructure Eng., 2021
A Secure and Privacy-Preserving Machine Learning Model Sharing Scheme for Edge-Enabled IoT.
IEEE Access, 2021
Proceedings of the IEEE Global Communications Conference, 2021
2020
Towards secure and efficient energy trading in IIoT-enabled energy internet: A blockchain approach.
Future Gener. Comput. Syst., 2020
Research on Handling Equipment Allocation of Rail-Sea Intermodal Transportation in Container Terminals.
Proceedings of the 5th IEEE International Conference on Intelligent Transportation Engineering, 2020
2019
When Energy Trading meets Blockchain in Electrical Power System: The State of the Art.
CoRR, 2019
2018
Proceedings of the 4th Media Architecture Biennale Conference, 2018
Proceedings of the 11th International Congress on Image and Signal Processing, 2018