Sheng Yue
Orcid: 0009-0001-3416-8181Affiliations:
- 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:
Collaborative distances:
Timeline
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Bibliography
2026
Learning to Explore: Scaling Agentic Reasoning via Exploration-Aware Policy Optimization.
CoRR, May, 2026
FORLER: Federated Offline Reinforcement Learning with Q-Ensemble and Actor Rectification.
CoRR, February, 2026
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
IEEE Trans. Mob. Comput., August, 2025
DualRec: A Collaborative Training Framework for Device and Cloud Recommendation Models.
IEEE Trans. Mob. Comput., June, 2025
IEEE Trans. Circuits Syst. Video Technol., April, 2025
IEEE Trans. Cloud Comput., 2025
Proceedings of the 23rd Annual International Conference on Mobile Systems, 2025
Proceedings of the 31st Annual International Conference on Mobile Computing and Networking, 2025
2024
IEEE Wirel. Commun., August, 2024
SESAME: A Resource Expansion and Sharing Scheme for Multiple Edge Services Providers.
IEEE/ACM Trans. Netw., August, 2024
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
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
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
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
IEEE Trans. Parallel Distributed Syst., 2022
IEEE J. Sel. Areas Commun., 2022
Proceedings of the 18th International Conference on Network and Service Management, 2022
2021
CoRR, 2021
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
IEEE Trans. Veh. Technol., 2019