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Ruixuan Han
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2020 – today
- 2024
- [j3]Rafael D. Apaza, Ruixuan Han, Hongxiang Li, Eric J. Knoblock:
Intelligent Spectrum and Airspace Resource Management for Urban Air Mobility Using Deep Reinforcement Learning. IEEE Access 12: 164750-164766 (2024) - [i1]Ruixuan Han, Hongxiang Li, Bin Xie:
DHPrep: Deep Hawkes Process based Dynamic Network Representation. CoRR abs/2410.20627 (2024) - 2023
- [j2]Ruixuan Han, Hongxiang Li, Eric J. Knoblock, Michael R. Gasper, Rafael D. Apaza:
Joint Velocity and Spectrum Optimization in Urban Air Transportation System via Multi-Agent Deep Reinforcement Learning. IEEE Trans. Veh. Technol. 72(8): 9770-9782 (2023) - [c3]Ruixuan Han, Summer Li, Eric J. Knoblock, Michael R. Gasper, Hongxiang Li, Rafael D. Apaza:
Joint Communication Resource Allocation and Velocity Optimization in Advanced Air Mobility via Multi-Agent Reinforcement Learning. GLOBECOM 2023: 1501-1506 - 2022
- [j1]Ruixuan Han, Hongxiang Li, Rafael D. Apaza, Eric J. Knoblock, Michael Gasper:
Deep Reinforcement Learning Assisted Spectrum Management in Cellular Based Urban Air Mobility. IEEE Wirel. Commun. 29(6): 14-21 (2022) - [c2]Ruixuan Han, Hongxiang Li, Eric J. Knoblock, Michael R. Gasper, Rafael D. Apaza:
Dynamic Spectrum Sharing in Cellular Based Urban Air Mobility via Deep Reinforcement Learning. GLOBECOM 2022: 1332-1337
2010 – 2019
- 2018
- [c1]Ruixuan Han, Hongxiang Li, Shenghui Wang, Huacheng Zeng, Guomei Zhang:
Coordinated Beamforming for Multicell Multicast Secret Communications. VTC Fall 2018: 1-5
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