Shaoyang Wang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Resource Management

Routing Decisions

Reinforcement Learning

Top Venues

Publications

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) (2024)
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 (2024)
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) (2024)
Shaoyang Wang, Mingli Chen, Ya-Ping Du
Shock Tolerated Low Noise Analog Front-End for Milliamp Measurement on a Low Resistance Shunt. I2MTC (2023)
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 (2023)
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) (2022)
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)
Zhenyang Wang, Shaoyang Wang, Pingmu Huang, Tiejun Lv
SNNet: Specific Node Network of Human Parsing. ICANN (2) (2022)
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 (2022)
Shaoyang Wang, Tiejun Lv, Wei Ni, Norman C. Beaulieu, Y. Jay Guo
Joint Resource Management for MC-NOMA: A Deep Reinforcement Learning Approach. CoRR (2021)
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) (2021)
Shaoyang Wang, Tiejun Lv
Dynamic Multichannel Access for 5G and Beyond with Fast Time-Varying Channel. ICC (2020)
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) (2020)
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 (2019)
Shaoyang Wang, Tiejun Lv, Xuewei Zhang
Multi-Agent Reinforcement Learning-Based User Pairing in Multi-Carrier NOMA Systems. ICC Workshops (2019)
Shaoyang Wang, Tiejun Lv
Deep Reinforcement Learning for Demand-Aware Joint VNF Placement-and-Routing. GLOBECOM Workshops (2019)
Shaoyang Wang, Tiejun Lv
Deep Reinforcement Learning Based Dynamic Multichannel Access in HetNets. WCNC (2019)