Hsin-Yuan Chang

Orcid: 0000-0001-6603-6020

According to our database1, Hsin-Yuan Chang authored at least 13 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Deep Unfolded Hybrid Beamforming in Reconfigurable Intelligent Surface Aided mmWave MIMO-OFDM Systems.
IEEE Wirel. Commun. Lett., April, 2024

2023
Hybrid Beamforming for Dual-Functional Radar-Communication Systems.
Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

Wireless Multi-Target Vital Sign Detection Using SIMO-FMCW Radar in Multipath Propagation Environments.
Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

Deep Reinforcement Learning-Based Resource Allocation for Cellular V2X Communications.
Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

2022
Super Resolution-Based Beam Selection With Hierarchical Codebook in mmWave Communication.
IEEE Wirel. Commun. Lett., 2022

Hybrid Beamforming in mmWave MIMO-OFDM Systems via Deep Unfolding.
Proceedings of the 95th IEEE Vehicular Technology Conference, 2022

Fast Acquisition and Accurate Vital Sign Estimation with Deep Learning-Aided Weighted Scheme Using FMCW Radar.
Proceedings of the 95th IEEE Vehicular Technology Conference, 2022

Unsupervised Learning Based Hybrid Beamforming with Low-Resolution Phase Shifters for MU-MIMO Systems.
Proceedings of the IEEE International Conference on Communications, 2022

Cooperative Neighboring Vehicle Positioning Systems Based on Graph Convolutional Network: A Multi-Scenario Transfer Learning Approach.
Proceedings of the IEEE International Conference on Communications, 2022

RangeSRN: Range Super-Resolution Network Using mmWave FMCW Radar.
Proceedings of the IEEE Global Communications Conference, 2022

2021
GCN-CNVPS: Novel Method for Cooperative Neighboring Vehicle Positioning System Based on Graph Convolution Network.
IEEE Access, 2021

2020
DL-Aided NOMP: a Deep Learning-Based Vital Sign Estimating Scheme Using FMCW Radar.
Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

2017
Using Machine Learning to Forecast Patent Quality - Take "Vehicle Networking" Industry for Example.
Proceedings of the Transdisciplinary Engineering: A Paradigm Shift, 2017


  Loading...