Achieving high throughput with predictive resource allocation. - Chuting Yao; Jia Guo 002; Chenyang Yang 001 (GlobalSIP, 2016)

Proactive resource allocation planning with three-levels of context information. - Jia Guo 002; Chuting Yao; Chenyang Yang 001 (ICCC, 2016)

Predictive Resource Allocation with Coarse-Grained Mobility Pattern and Traffic Load Information. - Jia Guo 002; Changyang She; Chenyang Yang 001 (ICC, 2018)

Predictive Resource Allocation with Deep Learning. - Jia Guo 002; Chenyang Yang 001 (VTC Fall, 2018)

Exploiting Future Radio Resources With End-to-End Prediction by Deep Learning. - Jia Guo 002; Chenyang Yang 001; Chih-Lin I (IEEE Access, 2018)

Exploiting Residual Resources to Support High Throughput with Resource Allocation. - Jia Guo 002; Chuting Yao; Chenyang Yang 001; Zixiang Xiong (CoRR, 2018)

Predictive Resource Allocation with Interference Coordination by Deep Learning. - Zhaoqi Xu; Jia Guo 002; Chenyang Yang 001 (WCSP, 2019)

Structure of Deep Neural Networks with a Priori Information in Wireless Tasks. - Jia Guo 002; Chenyang Yang 001 (ICC, 2020)

Constructing Deep Neural Networks with a Priori Knowledge of Wireless Tasks. - Jia Guo 002; Chenyang Yang 001 (CoRR, 2020)

Impact of Prediction Errors on High Throughput Predictive Resource Allocation. - Jia Guo 002; Chenyang Yang 001 (IEEE Trans. Veh. Technol., 2020)

Learning Power Control for Cellular Systems with Heterogeneous Graph Neural Network. - Jia Guo 002; Chenyang Yang 001 (WCNC, 2021)

Learning Fairly With Class-Imbalanced Data for Interference Coordination. - Jia Guo 002; Zhaoqi Xu; Chenyang Yang 001 (IEEE Trans. Veh. Technol., 2021)

Learning Hybrid Precoding Efficiently for mmWave Systems with Mathematical Properties. - Shengjie Liu; Jia Guo 002; Chenyang Yang 001 (GLOBECOM, 2022)

Learning Precoding for Semantic Communications. - Jia Guo 002; Chenyang Yang 001 (ICC Workshops, 2022)

Learning Power Allocation for Cellular Systems with Data Rate-based Deep Neural Network. - Jia Guo 002; Chenyang Yang 001 (WCNC, 2022)

Learning Precoding Policy: CNN or GNN? - Baichuan Zhao; Jia Guo 002; Chenyang Yang 001 (WCNC, 2022)

Learning Power Allocation for Multi-Cell-Multi-User Systems With Heterogeneous Graph Neural Networks. - Jia Guo 002; Chenyang Yang 001 (IEEE Trans. Wirel. Commun., 2022)

Precoder and Detector Learning for Vision-based mmWave Received Power Prediction. - Jia Guo 002; Mehdi Bennis; Chenyang Yang 001 (PIMRC, 2023)

A Size-Generalizable GNN for Learning Precoding. - Jia Guo 002; Chenyang Yang 001 (VTC Fall, 2023)

How to Improve Learning Efficiency of GNN for Precoding? - Jia Guo 002; Chenyang Yang 001 (VTC2023-Spring, 2023)

Learning Resource Allocation Policy: Vertex-GNN or Edge-GNN? - Yao Peng; Jia Guo 002; Chenyang Yang 001 (CoRR, 2023)

Deep Neural Networks With Data Rate Model: Learning Power Allocation Efficiently. - Jia Guo 002; Chenyang Yang 001 (IEEE Trans. Commun., 2023)

When the gain of predictive resource allocation for content delivery is large? - Chenzuo Zhang; Jia Guo 002; Chenyang Yang 001 (Sci. China Inf. Sci., 2023)

A Size-Generalizable Graph Neural Network for Learning Multi-User Multi-Stream MIMO Precoding. - Jia Guo 002; Chenyang Yang 001 (MLSP, 2024)

Multidimensional Graph Neural Networks for Wireless Communications. - Shengjie Liu; Jia Guo 002; Chenyang Yang 001 (IEEE Trans. Wirel. Commun., 2024)

A Model-Based GNN for Learning Precoding. - Jia Guo 002; Chenyang Yang 001 (IEEE Trans. Wirel. Commun., 2024)

Understanding the Performance of Learning Precoding Policies With Graph and Convolutional Neural Networks. - Baichuan Zhao; Jia Guo 002; Chenyang Yang 001 (IEEE Trans. Commun., 2024)