Yu Qiao

Orcid: 0000-0003-4045-8473

Affiliations:
  • Kyung Hee University, School of Computing, Department of Artificial Intelligence, Yongin, South Korea
  • Nanjing University of Information Science and Technology, School of Computer and Software, China


According to our database1, Yu Qiao authored at least 24 papers between 2018 and 2024.

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

2024
Integrated Sensing, Localization, and Communication in Holographic MIMO-Enabled Wireless Network: A Deep Learning Approach.
IEEE Trans. Netw. Serv. Manag., February, 2024

MP-FedCL: Multiprototype Federated Contrastive Learning for Edge Intelligence.
IEEE Internet Things J., 2024

Towards Robust Federated Learning via Logits Calibration on Non-IID Data.
CoRR, 2024

2023
Understanding Segment Anything Model: SAM is Biased Towards Texture Rather than Shape.
CoRR, 2023

Generative AI-driven Semantic Communication Framework for NextG Wireless Network.
CoRR, 2023

FedMEKT: Distillation-based Embedding Knowledge Transfer for Multimodal Federated Learning.
CoRR, 2023

Faster Segment Anything: Towards Lightweight SAM for Mobile Applications.
CoRR, 2023

Robustness of SAM: Segment Anything Under Corruptions and Beyond.
CoRR, 2023

A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering.
CoRR, 2023

Segment Anything Model (SAM) Meets Glass: Mirror and Transparent Objects Cannot Be Easily Detected.
CoRR, 2023

One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era.
CoRR, 2023

MP-FedCL: Multi-Prototype Federated Contrastive Learning for Edge Intelligence.
CoRR, 2023

A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?
CoRR, 2023

CDFed: Contribution-based Dynamic Federated Learning for Managing System and Statistical Heterogeneity.
Proceedings of the NOMS 2023, 2023

Artificial Intelligence Framework for Target Oriented Integrated Sensing and Communication in Holographic MIMO.
Proceedings of the NOMS 2023, 2023

An Artificial Intelligent-Driven Semantic Communication Framework for Connected Autonomous Vehicular Network.
Proceedings of the International Conference on Information Networking, 2023

A Framework for Multi-Prototype Based Federated Learning: Towards the Edge Intelligence.
Proceedings of the International Conference on Information Networking, 2023

An Artificial Intelligence Framework for Holographic Beamforming: Coexistence of Holographic MIMO and Intelligent Omni-Surface.
Proceedings of the International Conference on Information Networking, 2023

Segment Anything Model Aided Beam Prediction for the Millimeter Wave Communication.
Proceedings of the 24st Asia-Pacific Network Operations and Management Symposium, 2023

Knowledge Distillation in Federated Learning: Where and How to Distill?
Proceedings of the 24st Asia-Pacific Network Operations and Management Symposium, 2023

Transformer-based Communication Resource Allocation for Holographic Beamforming: A Distributed Artificial Intelligence Framework.
Proceedings of the 24st Asia-Pacific Network Operations and Management Symposium, 2023

2020
A novel node selection scheme for energy-efficient cooperative spectrum sensing using D-S theory.
Wirel. Networks, 2020

2018
EESS: An Energy-Efficient Spectrum Sensing Method by Optimizing Spectrum Sensing Node in Cognitive Radio Sensor Networks.
Wirel. Commun. Mob. Comput., 2018

An Energy-Efficient Cooperative Spectrum Sensing Scheme based on D-S Theory in Cognitive Radio Sensor Networks.
Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication, 2018


  Loading...