Xinran Zhang

Orcid: 0000-0002-9250-8711

Affiliations:
  • Southwest Jiaotong University, School of Information Science and Technology, Chengdu, China
  • University of Electronic Science and Technology of China, School of Computer Science and Engineering, Chengdu, China (PhD 2025)


According to our database1, Xinran Zhang authored at least 16 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Semantic Communication Based on Large Language Model for Underwater Image Transmission.
IEEE Trans. Mob. Comput., February, 2026

Socially Aware Load Forecasting Utilizing Large Language Models.
IEEE Trans. Ind. Informatics, January, 2026

2025
Zero-Trust Based Robust Federated Learning Against Betrayal Behaviors.
IEEE Trans. Mob. Comput., December, 2025

SocioDiff: A Socio-Aware Diffusion Model for Residential Electricity Consumption Data Generation.
IEEE Trans. Smart Grid, September, 2025

Deploying Large AI Models on Resource-Limited Devices with Split Federated Learning.
CoRR, April, 2025

2024
Semi-Supervised Federated Analytics for Heterogeneous Household Characteristics Identification.
IEEE Trans. Smart Grid, November, 2024

CIPPO: Contrastive Imitation Proximal Policy Optimization for Recommendation Based on Reinforcement Learning.
IEEE Trans. Knowl. Data Eng., November, 2024

Joint Accuracy and Latency Optimization for Quantized Federated Learning in Vehicular Networks.
IEEE Internet Things J., September, 2024

Blockchain-Based Resource Trading in Multi-UAV Edge Computing System.
IEEE Internet Things J., June, 2024

Vehicle Selection and Resource Allocation for Federated Learning-Assisted Vehicular Network.
IEEE Trans. Mob. Comput., May, 2024

Multi-dimensional Resource Allocation in HAP-assisted UAV Wireless Networks for IoRT Data Collection.
Proceedings of the 2024 IEEE Global Communications Conference, 2024

When Zero-Trust Meets Federated Learning.
Proceedings of the 2024 IEEE Global Communications Conference, 2024

2023
Federated Learning-Assisted Vehicular Edge Computing: Architecture and Research Directions.
IEEE Veh. Technol. Mag., December, 2023

2022
Title-and-Tag Contrastive Vision-and-Language Transformer for Social Media Popularity Prediction.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Communication-Efficient Federated Learning in Channel Constrained Internet of Things.
Proceedings of the IEEE Global Communications Conference, 2022

2019
Cold-Start Representation Learning: A Recommendation Approach with Bert4Movie and Movie2Vec.
Proceedings of the 27th ACM International Conference on Multimedia, 2019


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