Wen-Chiao Tsai

According to our database, Wen-Chiao Tsai authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Deep Unfolding-Based Channel Estimation for IRS-Aided mmWave Systems via Two-Stage LAMP Network With Row Compression.

Wen-Chiao Tsai, Chi-Wei Chen, An-Yeu Wu

IEEE Trans. Veh. Technol., November, 2024

Enhanced-GNN With Angular CSI for Beamforming Design in IRS-Assisted mmWave Communication Systems.

Ting-Ju Yeh, Wen-Chiao Tsai, Chi-Wei Chen, An-Yeu Wu

IEEE Commun. Lett., April, 2024

2023

Hybrid Active-Passive IRS-Assisted Framework in Uplink NOMA Communication.

Chi-Wei Chen, Wen-Chiao Tsai, An-Yeu Andy Wu

Proceedings of the 24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2023

Compressive Channel Estimation for IRS-Aided Millimeter-Wave Systems via Two-Stage Lamp Network.

Wen-Chiao Tsai, Chi-Wei Chen, An-Yeu Andy Wu

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

WMMSE-Based Alternating Optimization for Low-Complexity Multi-IRS MIMO Communication.

Chi-Wei Chen, Wen-Chiao Tsai, Sin-Sheng Wong, Chieh-Fang Teng, An-Yeu Wu

IEEE Trans. Veh. Technol., 2022

Low-Complexity Compressive Channel Estimation for IRS-Aided mmWave Systems With Hypernetwork-Assisted LAMP Network.

Wen-Chiao Tsai, Chi-Wei Chen, Chieh-Fang Teng, An-Yeu Wu

IEEE Commun. Lett., 2022

Low-Complexity Two-Step Optimization in Active-IRS-Assisted Uplink NOMA Communication.

Chi-Wei Chen, Wen-Chiao Tsai, An-Yeu Wu

IEEE Commun. Lett., 2022

2020

Neural Network-Aided BCJR Algorithm for Joint Symbol Detection and Channel Decoding.

Wen-Chiao Tsai, Chieh-Fang Teng, Han-Mo Ou, An-Yeu Andy Wu

Proceedings of the IEEE Workshop on Signal Processing Systems, 2020

A Neural Network-Aided Viterbi Receiver for Joint Equalization and Decoding.

Han-Mo Ou, Chieh-Fang Teng, Wen-Chiao Tsai, An-Yeu Andy Wu

Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

Explainable Deep Neural Network for Identifying Cardiac Abnormalities Using Class Activation Map.

Yu-Cheng Lin, Yun-Chieh Lee, Wen-Chiao Tsai, Win-Ken Beh, An-Yeu Andy Wu

Proceedings of the Computing in Cardiology, 2020