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ORCIDMengyuan Lee
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2020 – today
- 2024
[j14]Mengyuan Lee
, Guanding Yu, Huaiyu Dai:
Privacy-Preserving Decentralized Inference With Graph Neural Networks in Wireless Networks. IEEE Trans. Wirel. Commun. 23(1): 543-558 (2024)- [j13]Qiushuo Hou, Mengyuan Lee, Guanding Yu, Yunlong Cai:
Power Control for NN-Based Wireless Distributed Inference With Improved Model Calibration. IEEE Trans. Wirel. Commun. 23(10): 14591-14604 (2024) - 2023
- [j12]Qiushuo Hou, Mengyuan Lee, Guanding Yu, Yunlong Cai:
Meta-Gating Framework for Fast and Continuous Resource Optimization in Dynamic Wireless Environments. IEEE Trans. Commun. 71(9): 5259-5273 (2023) - [j11]Mengyuan Lee, Guanding Yu, Huaiyu Dai:
Decentralized Inference With Graph Neural Networks in Wireless Communication Systems. IEEE Trans. Mob. Comput. 22(5): 2582-2598 (2023) - [j10]Qiushuo Hou, Yunlong Cai, Qiyu Hu, Mengyuan Lee, Guanding Yu:
Joint Resource Allocation and Trajectory Design for Multi-UAV Systems With Moving Users: Pointer Network and Unfolding. IEEE Trans. Wirel. Commun. 22(5): 3310-3323 (2023) - [c8]Sisi Lin, Mengyuan Lee, Qimei Chen, Dingzhu Wen, Wen Du, Zhidong He:
OverGNN Assisted Power Allocation for Heterogeneous Ultra-Dense Networks. WCSP 2023: 152-157 - 2022
- [j9]Qiushuo Hou, Mengyuan Lee, Guanding Yu, Zhaolin Zhou:
Multicell Power Control Under QoS Requirements With CNet. IEEE Commun. Lett. 26(6): 1308-1312 (2022) - [j8]Huiguo Gao, Mengyuan Lee, Guanding Yu, Zhaolin Zhou:
A Graph Neural Network Based Decentralized Learning Scheme. Sensors 22(3): 1030 (2022) - [j7]Mengyuan Lee, Seyyedali Hosseinalipour, Christopher G. Brinton, Guanding Yu, Huaiyu Dai:
A Fast Graph Neural Network-Based Method for Winner Determination in Multi-Unit Combinatorial Auctions. IEEE Trans. Cloud Comput. 10(4): 2264-2280 (2022) - [j6]Mengyuan Lee, Guanding Yu, Huaiyu Dai, Geoffrey Ye Li:
Graph Neural Networks Meet Wireless Communications: Motivation, Applications, and Future Directions. IEEE Wirel. Commun. 29(5): 12-19 (2022) - [c7]Jiaying Zhang, Yutong Jiang, Xingyu Liu, Mengyuan Lee, Huiguo Gao, Guanding Yu:
Design of Retransmission Mechanism for Decentralized Inference with Graph Neural Networks. APCC 2022: 515-519 - [c6]Qiushuo Hou, Yunlong Cai, Qiyu Hu, Mengyuan Lee, Guanding Yu:
Joint Neural Network for Trajectory and Communication Design in Multi-UAV Systems. GLOBECOM 2022: 2182-2187 - [c5]Qiushuo Hou, Mengyuan Lee, Guanding Yu, Yunlong Cai:
Learning to Optimize Resource in Dynamic Wireless Environment via Meta-Gating Graph Neural Network. ISWCS 2022: 1-6 - [i8]Mengyuan Lee, Guanding Yu, Huaiyu Dai:
Privacy-Preserving Decentralized Inference with Graph Neural Networks in Wireless Networks. CoRR abs/2208.06963 (2022) - [i7]Mengyuan Lee, Guanding Yu, Huaiyu Dai, Geoffrey Ye Li:
Graph Neural Networks Meet Wireless Communications: Motivation, Applications, and Future Directions. CoRR abs/2212.04047 (2022) - 2021
- [j5]Mengyuan Lee, Ning Ma, Guanding Yu, Huaiyu Dai:
Accelerating Generalized Benders Decomposition for Wireless Resource Allocation. IEEE Trans. Wirel. Commun. 20(2): 1233-1247 (2021) - [j4]Mengyuan Lee, Guanding Yu, Geoffrey Ye Li:
Graph Embedding-Based Wireless Link Scheduling With Few Training Samples. IEEE Trans. Wirel. Commun. 20(4): 2282-2294 (2021) - [c4]Su Wang, Mengyuan Lee, Seyyedali Hosseinalipour, Roberto Morabito, Mung Chiang, Christopher G. Brinton:
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation. INFOCOM 2021: 1-10 - [i6]Su Wang, Mengyuan Lee, Seyyedali Hosseinalipour, Roberto Morabito, Mung Chiang, Christopher G. Brinton:
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation. CoRR abs/2101.00787 (2021) - [i5]Mengyuan Lee, Guanding Yu, Huaiyu Dai:
Decentralized Inference with Graph Neural Networks in Wireless Communication Systems. CoRR abs/2104.09027 (2021) - 2020
- [j3]Rui Liu, Mengyuan Lee, Guanding Yu, Geoffrey Ye Li:
User Association for Millimeter-Wave Networks: A Machine Learning Approach. IEEE Trans. Commun. 68(7): 4162-4174 (2020) - [j2]Mengyuan Lee, Guanding Yu, Geoffrey Ye Li:
Learning to Branch: Accelerating Resource Allocation in Wireless Networks. IEEE Trans. Veh. Technol. 69(1): 958-970 (2020) - [c3]Mengyuan Lee, Guanding Yu, Geoffrey Ye Li:
Wireless Link Scheduling for D2D Communications with Graph Embedding Technique. ICC 2020: 1-6 - [c2]Jingyun Fu, Ning Ma, Mingqiao Ye, Mengyuan Lee, Guanding Yu:
Wireless D2D Network Link Scheduling based on Graph Embedding. VTC Fall 2020: 1-5 - [i4]Mengyuan Lee, Ning Ma, Guanding Yu, Huaiyu Dai:
Accelerating Generalized Benders Decomposition for Wireless Resource Allocation. CoRR abs/2003.01294 (2020) - [i3]Mengyuan Lee, Seyyedali Hosseinalipour, Christopher G. Brinton, Guanding Yu, Huaiyu Dai:
A Fast Graph Neural Network-Based Method for Winner Determination in Multi-Unit Combinatorial Auctions. CoRR abs/2009.13697 (2020)
2010 – 2019
- 2019
- [c1]Mengyuan Lee, Guanding Yu, Geoffrey Ye Li:
Accelerating Resource Allocation for D2D Communications Using Imitation Learning. VTC Fall 2019: 1-5 - [i2]Mengyuan Lee, Guanding Yu, Geoffrey Ye Li:
Learning to Branch: Accelerating Resource Allocation in Wireless Networks. CoRR abs/1903.01819 (2019) - [i1]Mengyuan Lee, Guanding Yu, Geoffrey Ye Li:
Graph Embedding based Wireless Link Scheduling with Few Training Samples. CoRR abs/1906.02871 (2019) - 2018
- [j1]Mengyuan Lee, Yuanhao Xiong, Guanding Yu, Geoffrey Ye Li:
Deep Neural Networks for Linear Sum Assignment Problems. IEEE Wirel. Commun. Lett. 7(6): 962-965 (2018)
Coauthor Index
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