Sheng Yue

Orcid: 0009-0001-3416-8181

According to our database1, Sheng Yue authored at least 21 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Mobile Generative AI: Opportunities and Challenges.
IEEE Wirel. Commun., August, 2024

PoPeC: PAoI-Centric Task Offloading With Priority Over Unreliable Channels.
IEEE/ACM Trans. Netw., June, 2024

Dependent Task Offloading in Edge Computing Using GNN and Deep Reinforcement Learning.
IEEE Internet Things J., June, 2024

Towards Resource-Efficient Edge AI: From Federated Learning to Semi-Supervised Model Personalization.
IEEE Trans. Mob. Comput., May, 2024

OLLIE: Imitation Learning from Offline Pretraining to Online Finetuning.
CoRR, 2024

How to Leverage Diverse Demonstrations in Offline Imitation Learning.
CoRR, 2024

RelayRec: Empowering Privacy-Preserving CTR Prediction via Cloud-Device Relay Learning.
Proceedings of the 23rd ACM/IEEE International Conference on Information Processing in Sensor Networks, 2024

Federated Offline Policy Optimization with Dual Regularization.
Proceedings of the IEEE INFOCOM 2024, 2024

Momentum-Based Federated Reinforcement Learning with Interaction and Communication Efficiency.
Proceedings of the IEEE INFOCOM 2024, 2024

BR-DeFedRL: Byzantine-Robust Decentralized Federated Reinforcement Learning with Fast Convergence and Communication Efficiency.
Proceedings of the IEEE INFOCOM 2024, 2024

A Federated Meta-Reinforcement Learning Algorithm Based on Gradient Correction.
Proceedings of the ACM Turing Award Celebration Conference 2024, 2024

2023
FedINC: An Exemplar-Free Continual Federated Learning Framework with Small Labeled Data.
Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems, 2023

CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
TODG: Distributed Task Offloading With Delay Guarantees for Edge Computing.
IEEE Trans. Parallel Distributed Syst., 2022

Efficient Federated Meta-Learning Over Multi-Access Wireless Networks.
IEEE J. Sel. Areas Commun., 2022

HSFL: An Efficient Split Federated Learning Framework via Hierarchical Organization.
Proceedings of the 18th International Conference on Network and Service Management, 2022

2021
TODG: Distributed Task Offloading with Delay Guarantees for Edge Computing.
CoRR, 2021

Inexact-ADMM Based Federated Meta-Learning for Fast and Continual Edge Learning.
Proceedings of the MobiHoc '21: The Twenty-second International Symposium on Theory, 2021

2020
Joint Channel Allocation and Resource Management for Stochastic Computation Offloading in MEC.
IEEE Trans. Veh. Technol., 2020

Radiologic Intervention of Internal Iliac Artery Occlusion During Cesarean Section for Dangerous Placenta Previa.
J. Medical Imaging Health Informatics, 2020

2019
Joint Channel Assignment and Stochastic Energy Management for RF-Powered OFDMA WSNs.
IEEE Trans. Veh. Technol., 2019


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