Deep Neural Networks for Linear Sum Assignment Problems. - Mengyuan Lee; Yuanhao Xiong; Guanding Yu; Geoffrey Ye Li (IEEE Wirel. Commun. Lett., 2018)

Accelerating Resource Allocation for D2D Communications Using Imitation Learning. - Mengyuan Lee; Guanding Yu; Geoffrey Ye Li (VTC Fall, 2019)

Wireless Link Scheduling for D2D Communications with Graph Embedding Technique. - Mengyuan Lee; Guanding Yu; Geoffrey Ye Li (ICC, 2020)

Wireless D2D Network Link Scheduling based on Graph Embedding. - Jingyun Fu; Ning Ma; Mingqiao Ye; Mengyuan Lee; Guanding Yu (VTC Fall, 2020)

User Association for Millimeter-Wave Networks: A Machine Learning Approach. - Rui Liu 016; Mengyuan Lee; Guanding Yu; Geoffrey Ye Li (IEEE Trans. Commun., 2020)

Learning to Branch: Accelerating Resource Allocation in Wireless Networks. - Mengyuan Lee; Guanding Yu; Geoffrey Ye Li (IEEE Trans. Veh. Technol., 2020)

Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation. - Su Wang 007; Mengyuan Lee; Seyyedali Hosseinalipour; Roberto Morabito; Mung Chiang; Christopher G. Brinton (INFOCOM, 2021)

Accelerating Generalized Benders Decomposition for Wireless Resource Allocation. - Mengyuan Lee; Ning Ma; Guanding Yu; Huaiyu Dai (IEEE Trans. Wirel. Commun., 2021)

Graph Embedding-Based Wireless Link Scheduling With Few Training Samples. - Mengyuan Lee; Guanding Yu; Geoffrey Ye Li (IEEE Trans. Wirel. Commun., 2021)

Design of Retransmission Mechanism for Decentralized Inference with Graph Neural Networks. - Jiaying Zhang; Yutong Jiang; Xingyu Liu; Mengyuan Lee; Huiguo Gao; Guanding Yu (APCC, 2022)

Joint Neural Network for Trajectory and Communication Design in Multi-UAV Systems. - Qiushuo Hou; Yunlong Cai; Qiyu Hu; Mengyuan Lee; Guanding Yu (GLOBECOM, 2022)

Learning to Optimize Resource in Dynamic Wireless Environment via Meta-Gating Graph Neural Network. - Qiushuo Hou; Mengyuan Lee; Guanding Yu; Yunlong Cai (ISWCS, 2022)

Multicell Power Control Under QoS Requirements With CNet. - Qiushuo Hou; Mengyuan Lee; Guanding Yu; Zhaolin Zhou (IEEE Commun. Lett., 2022)

A Graph Neural Network Based Decentralized Learning Scheme. - Huiguo Gao; Mengyuan Lee; Guanding Yu; Zhaolin Zhou (Sensors, 2022)

A Fast Graph Neural Network-Based Method for Winner Determination in Multi-Unit Combinatorial Auctions. - Mengyuan Lee; Seyyedali Hosseinalipour; Christopher G. Brinton; Guanding Yu; Huaiyu Dai (IEEE Trans. Cloud Comput., 2022)

Graph Neural Networks Meet Wireless Communications: Motivation, Applications, and Future Directions. - Mengyuan Lee; Guanding Yu; Huaiyu Dai; Geoffrey Ye Li (IEEE Wirel. Commun., 2022)

OverGNN Assisted Power Allocation for Heterogeneous Ultra-Dense Networks. - Sisi Lin; Mengyuan Lee; Qimei Chen; Dingzhu Wen; Wen Du; Zhidong He (WCSP, 2023)

Decentralized Inference With Graph Neural Networks in Wireless Communication Systems. - Mengyuan Lee; Guanding Yu; Huaiyu Dai (IEEE Trans. Mob. Comput., 2023)

Joint Resource Allocation and Trajectory Design for Multi-UAV Systems With Moving Users: Pointer Network and Unfolding. - Qiushuo Hou; Yunlong Cai; Qiyu Hu; Mengyuan Lee; Guanding Yu (IEEE Trans. Wirel. Commun., 2023)

Meta-Gating Framework for Fast and Continuous Resource Optimization in Dynamic Wireless Environments. - Qiushuo Hou; Mengyuan Lee; Guanding Yu; Yunlong Cai (IEEE Trans. Commun., 2023)

Privacy-Preserving Decentralized Inference With Graph Neural Networks in Wireless Networks. - Mengyuan Lee; Guanding Yu; Huaiyu Dai (IEEE Trans. Wirel. Commun., 2024)

Power Control for NN-Based Wireless Distributed Inference With Improved Model Calibration. - Qiushuo Hou; Mengyuan Lee; Guanding Yu; Yunlong Cai (IEEE Trans. Wirel. Commun., 2024)