Liang Guo

Orcid: 0000-0001-7759-5784

Affiliations:
  • China Academy of Information and Communications Technology, Institute for Cloud Computing and Big Data, Beijing, China


According to our database1, Liang Guo authored at least 15 papers between 2019 and 2024.

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

Timeline

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Bibliography

2024
UniFL: Accelerating Federated Learning Using Heterogeneous Hardware Under a Unified Framework.
IEEE Access, 2024

2023
Reliable PPO-Based Concurrent Multipath Transfer for Time-Sensitive Applications.
IEEE Trans. Veh. Technol., October, 2023

Deadline-Constrained Multi-Agent Collaborative Transmission for Delay-Sensitive Applications.
IEEE Trans. Cogn. Commun. Netw., October, 2023

Development trends and countermeasures of China's cloud artificial intelligence chip industry.
Proceedings of the 14th IEEE International Symposium on Parallel Architectures, 2023

2022
Machine-Learning-Aided Trajectory Prediction and Conflict Detection for Internet of Aerial Vehicles.
IEEE Internet Things J., 2022

PipeFL: Hardware/Software co-Design of an FPGA Accelerator for Federated Learning.
IEEE Access, 2022

RPQ: Resilient-Priority Queue Scheduling for Delay-Sensitive Applications.
Proceedings of the 23rd IEEE International Conference on High Performance Switching and Routing, 2022

2021
Federated user activity analysis via network traffic and deep neural network in mobile wireless networks.
Phys. Commun., 2021

ShuffleNet-inspired lightweight neural network design for automatic modulation classification methods in ubiquitous IoT cyber-physical systems.
Comput. Commun., 2021

2020
Distributed Learning for Automatic Modulation Classification in Edge Devices.
IEEE Wirel. Commun. Lett., 2020

Adaptive Deep Learning Aided Digital Predistorter Considering Dynamic Envelope.
IEEE Trans. Veh. Technol., 2020

Robust automatic modulation classification based on convolutional and recurrent fusion network.
Phys. Commun., 2020

Device Type Identification via Network Traffic and Lightweight Convolutional Neural Network for Internet of Things.
IEEE Access, 2020

2019
Cell Scene Division and Visualization Based on Autoencoder and K-Means Algorithm.
IEEE Access, 2019

Machine Learning Based Quantitative Association Rule Mining Method for Evaluating Cellular Network Performance.
IEEE Access, 2019


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