Zirui Zhuang
Orcid: 0000-0003-3345-1732
According to our database1,
Zirui Zhuang
authored at least 38 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Slice Sandwich: Jagged Slicing Multi-Tier Dynamic Resources for Diversified V2X Services.
IEEE Trans. Mob. Comput., May, 2024
IEEE Internet Things J., April, 2024
Understanding and Guiding Weakly Supervised Entity Alignment with Potential Isomorphism Propagation.
CoRR, 2024
Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024
NetRen: Service Migration-Driven Network Renascence with Synthesizing Updated Configuration.
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Toward High-Powered Connected Autonomous Vehicles: A Cooperative Solution via Transient Edge Intelligence Provision.
IEEE Commun. Mag., December, 2023
J. Commun. Inf. Networks, September, 2023
Standing on the Shoulders of Giants: Cross-Slice Federated Meta Learning for Resource Orchestration to Cold-Start Slice.
IEEE/ACM Trans. Netw., April, 2023
$Q$-Learning Aided Intelligent Routing With Maximum Utility in Cognitive UAV Swarm for Emergency Communications.
IEEE Trans. Veh. Technol., March, 2023
Brief Announcement: Accelerate CNN Inference with Zoning Graph at Dynamic Granularity.
Proceedings of the 35th ACM Symposium on Parallelism in Algorithms and Architectures, 2023
Poster: PipeLLM: Pipeline LLM Inference on Heterogeneous Devices with Sequence Slicing.
Proceedings of the ACM SIGCOMM 2023 Conference, 2023
Drift doesn't Matter: Dynamic Decomposition with Diffusion Reconstruction for Unstable Multivariate Time Series Anomaly Detection.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 14th Asia-Pacific Symposium on Internetware, 2023
Not Only Pairwise Relationships: Fine-Grained Relational Modeling for Multivariate Time Series Forecasting.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Solving Distributed ACL Policies Under Complex Constraints with Graph Neural Networks.
Proceedings of the 31st IEEE International Conference on Network Protocols, 2023
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023
Deep Reinforcement Learning Based Fast Anomaly Detection and Localization for Programmable Networks.
Proceedings of the IEEE International Conference on Communications, 2023
Robust Video Anomaly Detection Framework via Prior Knowledge and Multi-Path Frame Prediction.
Proceedings of the IEEE International Conference on Acoustics, 2023
HIRN: A Hierarchical Intent Refinement Approach for Dependable Network Slicing with Multi-path Resource Allocation.
Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2023
2022
Intelligent Joint Network Slicing and Routing via GCN-Powered Multi-Task Deep Reinforcement Learning.
IEEE Trans. Cogn. Commun. Netw., 2022
Digital Twins-based Multi-agent Deep Reinforcement Learning for UAV-assisted Vehicle Edge Computing.
Proceedings of the IEEE Smartworld, 2022
FedNKD: A Dependable Federated Learning Using Fine-tuned Random Noise and Knowledge Distillation.
Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022
2021
Generative Adversarial Network-Based Transfer Reinforcement Learning for Routing With Prior Knowledge.
IEEE Trans. Netw. Serv. Manag., 2021
IEEE J. Sel. Top. Signal Process., 2021
Adaptive and Robust Routing With Lyapunov-Based Deep RL in MEC Networks Enabled by Blockchains.
IEEE Internet Things J., 2021
IEEE Internet Things J., 2021
Proceedings of the Sixth IEEE International Conference on Data Science in Cyberspace, 2021
2020
Scalable Parallel Task Scheduling for Autonomous Driving Using Multi-Task Deep Reinforcement Learning.
IEEE Trans. Veh. Technol., 2020
IEEE Syst. J., 2020
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020
Adaptive and Robust Network Routing Based on Deep Reinforcement Learning with Lyapunov Optimization.
Proceedings of the 28th IEEE/ACM International Symposium on Quality of Service, 2020
Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020
2019
Deep reinforcement learning-based cooperative interactions among heterogeneous vehicular networks.
Appl. Soft Comput., 2019
2018
Proceedings of the 43rd IEEE Conference on Local Computer Networks, 2018
Proceedings of the 43rd IEEE Conference on Local Computer Networks, 2018
Proceedings of the 37th IEEE International Performance Computing and Communications Conference, 2018