Jia Guo

Orcid: 0000-0002-2134-7367

Affiliations:
  • Beihang University, School of Electronics and Information Engineering, Beijing, China (PhD 2023)


According to our database1, Jia Guo authored at least 27 papers between 2016 and 2024.

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

Timeline

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Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Understanding the Performance of Learning Precoding Policies With Graph and Convolutional Neural Networks.
IEEE Trans. Commun., September, 2024

A Model-Based GNN for Learning Precoding.
IEEE Trans. Wirel. Commun., July, 2024

Multidimensional Graph Neural Networks for Wireless Communications.
IEEE Trans. Wirel. Commun., April, 2024

A Size-Generalizable Graph Neural Network for Learning Multi-User Multi-Stream MIMO Precoding.
Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

2023
When the gain of predictive resource allocation for content delivery is large?
Sci. China Inf. Sci., December, 2023

Deep Neural Networks With Data Rate Model: Learning Power Allocation Efficiently.
IEEE Trans. Commun., March, 2023

Learning Resource Allocation Policy: Vertex-GNN or Edge-GNN?
CoRR, 2023

How to Improve Learning Efficiency of GNN for Precoding?
Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

A Size-Generalizable GNN for Learning Precoding.
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

Precoder and Detector Learning for Vision-based mmWave Received Power Prediction.
Proceedings of the 34th IEEE Annual International Symposium on Personal, 2023

2022
Learning Power Allocation for Multi-Cell-Multi-User Systems With Heterogeneous Graph Neural Networks.
IEEE Trans. Wirel. Commun., 2022

Learning Precoding Policy: CNN or GNN?
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Learning Power Allocation for Cellular Systems with Data Rate-based Deep Neural Network.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Learning Precoding for Semantic Communications.
Proceedings of the 2022 IEEE International Conference on Communications Workshops, 2022

Learning Hybrid Precoding Efficiently for mmWave Systems with Mathematical Properties.
Proceedings of the IEEE Global Communications Conference, 2022

2021
Learning Fairly With Class-Imbalanced Data for Interference Coordination.
IEEE Trans. Veh. Technol., 2021

Learning Power Control for Cellular Systems with Heterogeneous Graph Neural Network.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2021

2020
Impact of Prediction Errors on High Throughput Predictive Resource Allocation.
IEEE Trans. Veh. Technol., 2020

Constructing Deep Neural Networks with a Priori Knowledge of Wireless Tasks.
CoRR, 2020

Structure of Deep Neural Networks with a Priori Information in Wireless Tasks.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

2019
Predictive Resource Allocation with Interference Coordination by Deep Learning.
Proceedings of the 11th International Conference on Wireless Communications and Signal Processing, 2019

2018
Exploiting Residual Resources to Support High Throughput with Resource Allocation.
CoRR, 2018

Exploiting Future Radio Resources With End-to-End Prediction by Deep Learning.
IEEE Access, 2018

Predictive Resource Allocation with Deep Learning.
Proceedings of the 88th IEEE Vehicular Technology Conference, 2018

Predictive Resource Allocation with Coarse-Grained Mobility Pattern and Traffic Load Information.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

2016
Proactive resource allocation planning with three-levels of context information.
Proceedings of the 2016 IEEE/CIC International Conference on Communications in China, 2016

Achieving high throughput with predictive resource allocation.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016


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