Jiaqi Wu
Orcid: 0000-0003-2008-4187Affiliations:
- Harbin Institute of Technology, Shenzhen, China
According to our database1,
Jiaqi Wu authored at least 18 papers
between 2022 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
Joint Communication and Computation Scheduling for MEC-enabled AIGC Services: A Game-Theoretic Stochastic Learning Approach.
CoRR, May, 2026
Joint Edge Server Deployment and Computation Offloading: A Multi-Timescale Stochastic Programming Framework.
IEEE Trans. Mob. Comput., April, 2026
2025
IEEE Trans. Mob. Comput., October, 2025
A Multiagent Deep Reinforcement Learning Approach for Multi-UAV Cooperative Search in Multilayered Aerial Computing Networks.
IEEE Internet Things J., March, 2025
A modified SGP method with two alternative spectral parameters for constrained nonlinear equations with a compressive sensing application.
J. Comput. Appl. Math., 2025
Joint Optimization of Model Inferencing and Task Offloading for MEC-Empowered Large Vision Model Services.
Proceedings of the IEEE INFOCOM 2025, 2025
QoS-Driven Hybrid Inference Scheme for Generative Diffusion Models in MEC-Enabled AI-Generated Content Networks.
Proceedings of the IEEE International Conference on Communications, 2025
Joint Observation and Transmission Scheduling for Satellite Networks with Heterogeneous Missions.
Proceedings of the 2025 IEEE Global Communications Conference, 2025
Joint Optimization of Offloading, Scheduling, and Inferencing for MEC-Empowered AIGC Services.
Proceedings of the 2025 IEEE Global Communications Conference, 2025
2024
Cloud-Edge-End Collaborative Task Offloading in Vehicular Edge Networks: A Multilayer Deep Reinforcement Learning Approach.
IEEE Internet Things J., November, 2024
A convergence analysis of hybrid gradient projection algorithm for constrained nonlinear equations with applications in compressed sensing.
Numer. Algorithms, March, 2024
Joint Communication and Computation Scheduling for MEC-Enabled AIGC Services Based on Generative Diffusion Model.
Proceedings of the 22nd International Symposium on Modeling and Optimization in Mobile, 2024
Joint Optimization of Flying Trajectory and Task Offloading for UAV-Enabled MEC Networks: A Digital Twin-Assisted Hybrid Learning Approach.
Proceedings of the 99th IEEE Vehicular Technology Conference, 2024
Multi-UAV Cooperative Search in Multi-Layered Aerial Computing Networks: A Multi-Agent Deep Reinforcement Learning Approach.
Proceedings of the IEEE International Conference on Communications, 2024
2023
A Stochastic Programming Approach for Joint Edge Server Deployment and Computation Offloading.
Proceedings of the 21st International Symposium on Modeling and Optimization in Mobile, 2023
Joint Optimization of Service Placement and Computation Offloading for Mobile Edge Computing.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023
A Multi-Layer Deep Reinforcement Learning Approach for Joint Task Offloading and Scheduling in Vehicular Edge Networks.
Proceedings of the IEEE International Conference on Communications, 2023
2022
Proceedings of the IEEE International Conference on Communications, 2022