Ruyang Li
Orcid: 0000-0002-9921-1507
According to our database1,
Ruyang Li
authored at least 20 papers
between 2021 and 2024.
Collaborative distances:
Collaborative distances:
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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Bibliography
2024
IEEE Trans. Veh. Technol., 2024
First Place Solution to the ECCV 2024 ROAD++ Challenge @ ROAD++ Atomic Activity Recognition 2024.
CoRR, 2024
First Place Solution to the ECCV 2024 ROAD++ Challenge @ ROAD++ Spatiotemporal Agent Detection 2024.
CoRR, 2024
A Pseudo-Hierarchical Planning Framework with Dynamic-Aware Reinforcement Learning for Autonomous Driving.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
2023
Quantum Inf. Process., December, 2023
Multi-agent deep reinforcement learning for online request scheduling in edge cooperation networks.
Future Gener. Comput. Syst., April, 2023
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Context - Enhanced Meta-Reinforcement Learning with Data-Reused Adaptation for Urban Autonomous Driving.
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the Neural Information Processing - 30th International Conference, 2023
Proceedings of the 8th International Conference on Computer and Communication Systems, 2023
2022
Proceedings of the IEEE Symposium on Computers and Communications, 2022
Deep Reinforcement Learning based Mobility-Aware Service Migration for Multi-access Edge Computing Environment.
Proceedings of the IEEE Symposium on Computers and Communications, 2022
Proceedings of the Neural Information Processing - 29th International Conference, 2022
Proceedings of the Neural Information Processing - 29th International Conference, 2022
Proceedings of the ICMLSC 2022: The 6th International Conference on Machine Learning and Soft Computing, Haikou, China, January 15, 2022
Proceedings of the 22nd IEEE International Conference on Communication Technology, 2022
2021
Deep Reinforcement Learning for DAG-based Concurrent Requests Scheduling in Edge Networks.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2021
A Request Scheduling Optimization Mechanism Based on Deep Q-Learning in Edge Computing Environments.
Proceedings of the 2021 IEEE Conference on Computer Communications Workshops, 2021