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2020 – today
- 2024
[j8]Gang Lin
, Christian Rehtanz, Shaoyang Wang, Jiayan Liu, Zhenyu Zhang, Pengcheng Wang:
Review on the key technologies of power grid cyber-physical systems simulation. IET Cyper-Phys. Syst.: Theory & Appl. 9(1): 1-16 (2024)- [j7]Shaoyang Wang, Yan Gao, Mingli Chen, Zongxu Qiu, Hongbo Zhuang, Runquan Huang:
Instrumentation for Sub-Ampere Lightning Current Measurement on a Tall Meteorological Tower in Complex Electromagnetic Environment. Remote. Sens. 16(7): 1307 (2024) - [j6]Shaoyang Wang, Mingli Chen:
Shock-Tolerated Multi-Range Low-Noise Analog Front End for Lightning Current Measurements From Milliamperes to Hundreds of Kiloamperes. IEEE Trans. Instrum. Meas. 73: 1-10 (2024) - 2023
- [j5]Ge Zhang, Mingli Chen, Shaoyang Wang, Yan Gao, Yaping Du:
A New FDTD Model for Lightning Return Stroke Channel Above Lossy Ground and Its Validation With Rocket-Triggered Lightning Data. IEEE Access 11: 84475-84486 (2023) - [c7]Shaoyang Wang, Mingli Chen, Ya-Ping Du:
Shock Tolerated Low Noise Analog Front-End for Milliamp Measurement on a Low Resistance Shunt. I2MTC 2023: 1-5 - 2022
- [j4]Shaoyang Wang, Chau Yuen, Wei Ni, Yong Liang Guan, Tiejun Lv:
Multiagent Deep Reinforcement Learning for Cost- and Delay-Sensitive Virtual Network Function Placement and Routing. IEEE Trans. Commun. 70(8): 5208-5224 (2022) - [c6]Zhenyang Wang, Shaoyang Wang, Pingmu Huang, Tiejun Lv:
SNNet: Specific Node Network of Human Parsing. ICANN (2) 2022: 643-655 - [c5]Ruibao Jia, Liu Liu, Xufei Zheng, Yuhan Yang, Shaoyang Wang, Pingmu Huang, Tiejun Lv:
Multi-Agent Deep Reinforcement Learning for Uplink Power Control in Multi-Cell Systems. ICC Workshops 2022: 324-330 - [i2]Shaoyang Wang, Chau Yuen, Wei Ni, Yong Liang Guan, Tiejun Lv:
Multi-Agent Deep Reinforcement Learning for Cost- and Delay-Sensitive Virtual Network Function Placement and Routing. CoRR abs/2206.12146 (2022) - 2021
- [j3]Shaoyang Wang, Tiejun Lv, Wei Ni, Norman C. Beaulieu, Y. Jay Guo:
Joint Resource Management for MC-NOMA: A Deep Reinforcement Learning Approach. IEEE Trans. Wirel. Commun. 20(9): 5672-5688 (2021) - [i1]Shaoyang Wang, Tiejun Lv, Wei Ni, Norman C. Beaulieu, Y. Jay Guo:
Joint Resource Management for MC-NOMA: A Deep Reinforcement Learning Approach. CoRR abs/2103.15371 (2021) - 2020
- [j2]Shaoyang Wang, Tiejun Lv, Xuewei Zhang, Zhipeng Lin, Pingmu Huang:
Learning-Based Multi-Channel Access in 5G and Beyond Networks With Fast Time-Varying Channels. IEEE Trans. Veh. Technol. 69(5): 5203-5218 (2020) - [c4]Shaoyang Wang, Tiejun Lv:
Dynamic Multichannel Access for 5G and Beyond with Fast Time-Varying Channel. ICC 2020: 1-6
2010 – 2019
- 2019
- [j1]Zongxu Qiu, Shaoyang Wang, Yuexin Yang, Zilong Qin, Mingli Chen, Fanchao Lyu, Hongbo Guo, Ya-Ping Du, Yan Gao, Ge Zhang:
Optical and Current Measurements of Lightning Attachment to the 356-m-High Shenzhen Meteorological Gradient Tower in Southern Coastal Area of China. IEEE Access 7: 155372-155380 (2019) - [c3]Shaoyang Wang, Tiejun Lv:
Deep Reinforcement Learning for Demand-Aware Joint VNF Placement-and-Routing. GLOBECOM Workshops 2019: 1-6 - [c2]Shaoyang Wang, Tiejun Lv, Xuewei Zhang:
Multi-Agent Reinforcement Learning-Based User Pairing in Multi-Carrier NOMA Systems. ICC Workshops 2019: 1-6 - [c1]Shaoyang Wang, Tiejun Lv:
Deep Reinforcement Learning Based Dynamic Multichannel Access in HetNets. WCNC 2019: 1-6
Coauthor Index
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