Hao Tian

Orcid: 0000-0002-5335-5898

Affiliations:
  • Nanjing University of Information Science and Technology, Nanjing, China


According to our database1, Hao Tian authored at least 11 papers between 2021 and 2024.

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

Timeline

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Bibliography

2024
A Blockchain-Assisted Federated Learning Method for Recommendation Systems.
Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2024

A Crowdsensing Service Pricing Method in Vehicular Edge Computing.
Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2024

A Contrastive Collaborative Filtering Method for Personalized Recommendation with Self-Attention.
Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2024

SFSM: A Serverless Function Scheduling Method for FaaS Applications over Edge Computing.
Proceedings of the IEEE International Conference on Web Services, 2024

A Heterogeneous Federated Learning Method Based on Dual Teachers Knowledge Distillation.
Proceedings of the Advanced Data Mining and Applications - 20th International Conference, 2024

An Inference Acceleration Approach for Boosting DNN Cold Start in Cloud-Edge Computing.
Proceedings of the Advanced Data Mining and Applications - 20th International Conference, 2024

2023
Real-time COVID-19 detection over chest x-ray images in edge computing.
Comput. Intell., February, 2023

A Blockchain-enabled Secure Access Management Method in Edge Computing.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

2022
DIMA: Distributed cooperative microservice caching for internet of things in edge computing by deep reinforcement learning.
World Wide Web, 2022

DisCOV: Distributed COVID-19 Detection on X-Ray Images With Edge-Cloud Collaboration.
IEEE Trans. Serv. Comput., 2022

2021
CoPace: Edge Computation Offloading and Caching for Self-Driving With Deep Reinforcement Learning.
IEEE Trans. Veh. Technol., 2021


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