Yunfan Hu

Orcid: 0009-0003-0909-5149

According to our database1, Yunfan Hu authored at least 12 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Blockchain-Oriented Certificateless Threshold Signature With Identifiable Abort for Federated Learning in Digital Twin-Assisted IoV.
IEEE Trans. Intell. Transp. Syst., May, 2026

Ensuring Data Integrity for Consumer-Centric Digital Twins in Healthcare 5.0 via a Blockchain-Oriented Signature.
IEEE Trans. Consumer Electron., May, 2026

2025
Reproducibility Companion Paper: u-LLaVA: Unifying Multi-Modal Tasks via Large Language Model.
Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

Reproducibility Companion Paper: Learning Differentiable Particle Filter on the Fly.
Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

2024
Evaluation System for the Contribution of Group Task in Based on Entropy Weight-TOPSIS Method.
Proceedings of the 2024 4th International Conference on Big Data, 2024

2022
RL-Recruiter+: Mobility-Predictability-Aware Participant Selection Learning for From-Scratch Mobile Crowdsensing.
IEEE Trans. Mob. Comput., 2022

Graph Neural News Recommendation with User Existing and Potential Interest Modeling.
ACM Trans. Knowl. Discov. Data, 2022

Denoising Neural Network for News Recommendation with Positive and Negative Implicit Feedback.
CoRR, 2022

Denoising Neural Network for News Recommendation with Positive and Negative Implicit Feedback.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Yak Management Platform Based on Neural Network and Path Tracking.
Proceedings of the Intelligent Computing Theories and Application, 2022

2021
Task-Oriented Snapshot Network Construction of Stock Market.
Proceedings of the Intelligent Computing Theories and Application, 2021

2020
Participants Selection for From-Scratch Mobile Crowdsensing via Reinforcement Learning.
Proceedings of the 2020 IEEE International Conference on Pervasive Computing and Communications, 2020


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