| Graph embedding-based wireless link scheduling with few training samples M Lee, G Yu, GY Li IEEE Transactions on Wireless Communications 20 (4), 2282-2294, 2020 | 115 | 2020 |
| Device sampling for heterogeneous federated learning: Theory, algorithms, and implementation S Wang, M Lee, S Hosseinalipour, R Morabito, M Chiang, CG Brinton IEEE INFOCOM 2021-IEEE Conference on Computer Communications, 1-10, 2021 | 102 | 2021 |
| Deep neural networks for linear sum assignment problems M Lee, Y Xiong, G Yu, GY Li IEEE Wireless Communications Letters 7 (6), 962-965, 2018 | 78 | 2018 |
| Learning to branch: Accelerating resource allocation in wireless networks M Lee, G Yu, GY Li IEEE Transactions on Vehicular Technology 69 (1), 958-970, 2019 | 67 | 2019 |
| User association for millimeter-wave networks: A machine learning approach R Liu, M Lee, G Yu, GY Li IEEE Transactions on Communications 68 (7), 4162-4174, 2020 | 51 | 2020 |
| Decentralized inference with graph neural networks in wireless communication systems M Lee, G Yu, H Dai IEEE Transactions on Mobile Computing 22 (5), 2582-2598, 2021 | 31 | 2021 |
| Joint subcarrier and power allocation for OFDMA based mobile edge computing system M Li, S Yang, Z Zhang, J Ren, G Yu 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and …, 2017 | 31 | 2017 |
| Accelerating generalized benders decomposition for wireless resource allocation M Lee, N Ma, G Yu, H Dai IEEE Transactions on Wireless Communications 20 (2), 1233-1247, 2020 | 29 | 2020 |
| A fast graph neural network-based method for winner determination in multi-unit combinatorial auctions M Lee, S Hosseinalipour, CG Brinton, G Yu, H Dai IEEE Transactions on Cloud Computing 10 (4), 2264-2280, 2020 | 19 | 2020 |
| Graph neural networks meet wireless communications: Motivation, applications, and future directions M Lee, G Yu, H Dai, GY Li IEEE Wireless Communications 29 (5), 12-19, 2022 | 12 | 2022 |
| Joint resource allocation and trajectory design for multi-UAV systems with moving Users: Pointer network and unfolding Q Hou, Y Cai, Q Hu, M Lee, G Yu IEEE Transactions on Wireless Communications, 2022 | 10 | 2022 |
| Accelerating resource allocation for D2D communications using imitation learning M Lee, G Yu, GY Li 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall), 1-5, 2019 | 10 | 2019 |
| Privacy-preserving decentralized inference with graph neural networks in wireless networks M Lee, G Yu, H Dai IEEE Transactions on Wireless Communications, 2023 | 6 | 2023 |
| Wireless link scheduling for D2D communications with graph embedding technique M Lee, G Yu, GY Li ICC 2020-2020 IEEE International Conference on Communications (ICC), 1-6, 2020 | 5 | 2020 |
| Multicell power control under QoS requirements with CNet Q Hou, M Lee, G Yu, Z Zhou IEEE Communications Letters 26 (6), 1308-1312, 2022 | 4 | 2022 |
| A graph neural network based decentralized learning scheme H Gao, M Lee, G Yu, Z Zhou Sensors 22 (3), 1030, 2022 | 3 | 2022 |
| Learning to Optimize Resource in Dynamic Wireless Environment via Meta-Gating Graph Neural Network Q Hou, M Lee, G Yu, Y Cai 2022 International Symposium on Wireless Communication Systems (ISWCS), 1-6, 2022 | 2 | 2022 |
| Meta-Gating Framework for Fast and Continuous Resource Optimization in Dynamic Wireless Environments Q Hou, M Lee, G Yu, Y Cai IEEE Transactions on Communications, 2023 | 1 | 2023 |
| Wireless D2D network link scheduling based on graph embedding J Fu, N Ma, M Ye, M Lee, G Yu 2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall), 1-5, 2020 | 1 | 2020 |
| OverGNN Assisted Power Allocation for Heterogeneous Ultra-Dense Networks S Lin, M Lee, Q Chen, D Wen, W Du, Z He 2023 International Conference on Wireless Communications and Signal …, 2023 | | 2023 |
Guanding YuZhejiang UniversityVerified email at zju.edu.cn
