Sheng Yue

Orcid: 0009-0001-3416-8181

Affiliations:
  • Sun Yat-sen University, School of Cyber Science and Technology, Shenzhen, China
  • Tsinghua University, Department of Computer Science and Technology, Beijing, China
  • Central South University, Changsha, China (PhD 2022)


According to our database1, Sheng Yue authored at least 38 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
Executable Agentic Memory for GUI Agent.
CoRR, May, 2026

Learning to Explore: Scaling Agentic Reasoning via Exploration-Aware Policy Optimization.
CoRR, May, 2026

AdamO: A Collapse-Suppressed Optimizer for Offline RL.
CoRR, May, 2026

Context Learning for Multi-Agent Discussion.
CoRR, February, 2026

FORLER: Federated Offline Reinforcement Learning with Q-Ensemble and Actor Rectification.
CoRR, February, 2026

Less is More: Clustered Cross-Covariance Control for Offline RL.
CoRR, January, 2026

FOVA: Offline Federated Reinforcement Learning With Mixed-Quality Data.
IEEE Trans. Netw., 2026

Toward Communication-Efficient and Data-Free Collaborative Fine-Tuning Between Small and Large Language Models.
IEEE Trans. Netw., 2026

HyStream: A Hybrid System for Application Streaming via Predictive Delivery and Sequence-Linearized Caching.
IEEE Trans. Netw., 2026

2025
MASA: Multimodal Federated Learning Through Modality-Aware and Secure Aggregation.
IEEE Trans. Mob. Comput., August, 2025

DualRec: A Collaborative Training Framework for Device and Cloud Recommendation Models.
IEEE Trans. Mob. Comput., June, 2025

MAML-RAL: Learning Domain-Invariant HOI Rules for Real-Time Video Matting.
IEEE Trans. Circuits Syst. Video Technol., April, 2025

AugFL: Augmenting Federated Learning With Pretrained Models.
IEEE Trans. Netw., 2025

Momentum-Based Contextual Federated Reinforcement Learning.
IEEE Trans. Netw., 2025

StreamSys: A Lightweight Executable Delivery System for Edge Computing.
IEEE Trans. Cloud Comput., 2025

Towards Distance-Adaptive Wireless Charging.
Proceedings of the 23rd Annual International Conference on Mobile Systems, 2025

FocusX: All-in-Focus Image Synthesis for Dynamic Scenes on Mobile Devices.
Proceedings of the 31st Annual International Conference on Mobile Computing and Networking, 2025

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

SESAME: A Resource Expansion and Sharing Scheme for Multiple Edge Services Providers.
IEEE/ACM Trans. Netw., 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

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

OLLIE: Imitation Learning from Offline Pretraining to Online Finetuning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

How to Leverage Diverse Demonstrations in Offline Imitation Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 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

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


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