Hsin-Yuan Chang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 14

Top Topics

Super Resolution

Low Resolution Images

Top Venues

IEEE Wirel. Commun. Lett.

Publications

Kuan-Ming Chen, Hsin-Yuan Chang, Ronald Y. Chang, Wei-Ho Chung
Deep Unfolded Hybrid Beamforming in Reconfigurable Intelligent Surface Aided mmWave MIMO-OFDM Systems. IEEE Wirel. Commun. Lett. 13 (4) (2024)
Po-Yen Lin, Hsin-Yuan Chang, Ronald Y. Chang, Wei-Ho Chung
Wireless Multi-Target Vital Sign Detection Using SIMO-FMCW Radar in Multipath Propagation Environments. VTC2023-Spring (2023)
Yi-Ching Chung, Hsin-Yuan Chang, Ronald Y. Chang, Wei-Ho Chung
Deep Reinforcement Learning-Based Resource Allocation for Cellular V2X Communications. VTC2023-Spring (2023)
Wei-Chih Yang, Hsin-Yuan Chang, Ronald Y. Chang, Wei-Ho Chung
Hybrid Beamforming for Dual-Functional Radar-Communication Systems. VTC2023-Spring (2023)
Sheng-Chun Fan, Hsin-Yuan Chang, Chih-Yu Wang, Wei-Ho Chung
Super Resolution-Based Beam Selection With Hierarchical Codebook in mmWave Communication. IEEE Wirel. Commun. Lett. 11 (5) (2022)
Hsin-Yuan Chang, Chih-Hsuan Hsu, Wei-Ho Chung
Fast Acquisition and Accurate Vital Sign Estimation with Deep Learning-Aided Weighted Scheme Using FMCW Radar. VTC Spring (2022)
Hsin-Yuan Chang, Yi-Yan Chen, Wei-Ho Chung
RangeSRN: Range Super-Resolution Network Using mmWave FMCW Radar. GLOBECOM (2022)
Kuan-Yuan Chen, Hsin-Yuan Chang, Ronald Y. Chang, Wei-Ho Chung
Hybrid Beamforming in mmWave MIMO-OFDM Systems via Deep Unfolding. VTC Spring (2022)
Chia-Ho Kuo, Hsin-Yuan Chang, Ronald Y. Chang, Wei-Ho Chung
Unsupervised Learning Based Hybrid Beamforming with Low-Resolution Phase Shifters for MU-MIMO Systems. CoRR (2022)
Chia-Ho Kuo, Hsin-Yuan Chang, Ronald Y. Chang, Wei-Ho Chung
Unsupervised Learning Based Hybrid Beamforming with Low-Resolution Phase Shifters for MU-MIMO Systems. ICC (2022)
Wan-Yu Chen, Hsin-Yuan Chang, Chih-Yu Wang, Wei-Ho Chung
Cooperative Neighboring Vehicle Positioning Systems Based on Graph Convolutional Network: A Multi-Scenario Transfer Learning Approach. ICC (2022)
Chia-Hung Lin, Yo-Hui Fang, Hsin-Yuan Chang, Yu-Chien Lin, Wei-Ho Chung, Shih-Chun Lin, Ta-Sung Lee
GCN-CNVPS: Novel Method for Cooperative Neighboring Vehicle Positioning System Based on Graph Convolution Network. IEEE Access 9 (2021)
Hsin-Yuan Chang, Chia-Hung Lin, Yu-Chien Lin, Wei-Ho Chung, Ta-Sung Lee
DL-Aided NOMP: a Deep Learning-Based Vital Sign Estimating Scheme Using FMCW Radar. VTC Spring (2020)
Chin-Yuan Fan, Shu-Hao Chang, Hsin-Yuan Chang, Sung-Shun Weng, Shan Lo
Using Machine Learning to Forecast Patent Quality - Take "Vehicle Networking" Industry for Example. TE (2017)