Liang Guo

Orcid: 0009-0007-5691-9314

Affiliations:
  • Northeastern University, School of Computer Science and Engineering, Shenyang, China


According to our database1, Liang Guo authored at least 14 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
QRMP-DQN Empowered Task Offloading and Resource Allocation for the STAR-RIS Assisted MEC Systems.
IEEE Trans. Veh. Technol., January, 2025

Joint resource allocation and blocklength assignment in STAR-RIS and NOMA-assisted URLLC systems.
Comput. Networks, 2025

Generative diffusion model-based QMIX for joint task offloading and resource allocation in VEC systems.
Comput. Networks, 2025

2024
RIS-Aided Secure A2G Communications With Coordinated Multi-UAVs: A Hybrid DRL Approach.
IEEE Trans. Netw. Sci. Eng., 2024

Secure Beamforming and Radar Association in CoMP-NOMA Empowered Integrated Sensing and Communication Systems.
IEEE Trans. Inf. Forensics Secur., 2024

Secure Communication Optimization in NOMA Systems With UAV-Mounted STAR-RIS.
IEEE Trans. Inf. Forensics Secur., 2024

Online two-timescale service placement for time-sensitive applications in MEC-assisted network: A TMAGRL approach.
Comput. Networks, 2024

2023
Deep reinforcement learning empowered joint mode selection and resource allocation for RIS-aided D2D communications.
Neural Comput. Appl., September, 2023

Reinforcement learning based joint trajectory design and resource allocation for RIS-aided UAV multicast networks.
Comput. Networks, May, 2023

Resource allocation for multiple RISs assisted NOMA empowered D2D communication: A MAMP-DQN approach.
Ad Hoc Networks, 2023

2022
Resource Allocation for IRS Assisted SGF NOMA Transmission: A MADRL Approach.
IEEE J. Sel. Areas Commun., 2022

Reliability analysis and ABC based optimization for CoMP-enabled systems over Nakagami-m fading.
Appl. Soft Comput., 2022

Joint Task Offloading and Resource Allocation in STAR-RIS assisted NOMA System.
Proceedings of the 96th Vehicular Technology Conference, 2022

2021
Real-time indoor localization using smartphone magnetic with LSTM networks.
Neural Comput. Appl., 2021


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