Yu-Chien Lin

According to our database, Yu-Chien Lin authored at least 23 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Scalable Deep Learning Framework for Dynamic CSI Feedback With Variable Antenna Port Numbers.

Yu-Chien Lin, Ta-Sung Lee, Zhi Ding

IEEE Trans. Wirel. Commun., April, 2024

Exploiting Partial FDD Reciprocity for Beam-Based Pilot Precoding and CSI Feedback in Deep Learning.

Yu-Chien Lin, Ta-Sung Lee, Zhi Ding

IEEE Trans. Wirel. Commun., February, 2024

The High Stability and Selectivity of Electrochemical Sensor Using Low-Cost Diamond Nanoparticles for the Detection of Anti-Cancer Drug Flutamide in Environmental Samples.

Nareshkumar Baskaran, Sanjay Ballur Prasanna, Yu-Chien Lin, Yeh-Fang Duann, Ren-Jei Chung, Yang Wei

Sensors, February, 2024

Physics-Inspired Deep Learning Anti-Aliasing Framework in Efficient Channel State Feedback.

Yu-Chien Lin, Yan Xin, Ta-Sung Lee, Charlie Zhang, Zhi Ding

CoRR, 2024

Plug-in UL-CSI-Assisted Precoder Upsampling Approach in Cellular FDD Systems.

Yu-Chien Lin, Yan Xin, Ta-Sung Lee, Charlie Jianzhong Zhang, Yibo Ma, Zhi Ding

Proceedings of the 100th IEEE Vehicular Technology Conference, 2024

2023

HyPlace-3D: A Hybrid Placement Approach for 3D ICs Using Space Transformation Technique.

Jai-Ming Lin, Yu-Chien Lin, Hsuan Kung, Wei-Yuan Lin

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

Training-Free Cost-Efficient Compression for Massive MIMO Channel State Feedback.

Yu-Chien Lin, Ta-Sung Lee, Zhi Ding

Proceedings of the IEEE Global Communications Conference, 2023

2022

Analysis and Design for Pilot Power Allocation and Placement in OFDM Based Integrated Radar and Communication in Automobile Systems.

Hao-Wei Hsu, Ming-Chun Lee, Meng-Xun Gu, Yu-Chien Lin, Ta-Sung Lee

IEEE Trans. Veh. Technol., 2022

2021

Deep Learning Phase Compression for MIMO CSI Feedback by Exploiting FDD Channel Reciprocity.

Yu-Chien Lin, Zhenyu Liu, Ta-Sung Lee, Zhi Ding

IEEE Wirel. Commun. Lett., 2021

A Survey on Deep Learning-Based Vehicular Communication Applications.

Chia-Hung Lin, Yu-Chien Lin, Yen-Jung Wu, Wei-Ho Chung, Ta-Sung Lee

J. Signal Process. Syst., 2021

Deep-Learning Based Decentralized Frame-to-Frame Trajectory Prediction Over Binary Range-Angle Maps for Automotive Radars.

Yu-Chien Lin, Meng-Xun Gu, Chia-Hung Lin, Ta-Sung Lee

IEEE Trans. Veh. Technol., 2021

Learning-Based Phase Compression and Quantization for Massive MIMO CSI Feedback with Magnitude-Aided Information.

Yu-Chien Lin, Zhi Ding, Zhenyu Liu, Ta-Sung Lee

CoRR, 2021

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

Chia-Hung Lin, Yo-Hui Fang, Hsin-Yuan Chang, Yu-Chien Lin, Wei-Ho Chung, Shih-Chun Lin, Ta-Sung Lee

IEEE Access, 2021

Deep Learning-Based Range-Doppler Map Reconstruction in Automotive Radar Systems.

Hao-Wei Hsu, Yu-Chien Lin, Ming-Chun Lee, Chia-Hung Lin, Ta-Sung Lee

Proceedings of the 93rd IEEE Vehicular Technology Conference, 2021

Deep Learning for Partial MIMO CSI Feedback by Exploiting Channel Temporal Correlation.

Yu-Chien Lin, Ta-Sung Lee, Zhi Ding

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Interference avoidance and cancellation in automotive OFDM radar networks.

Yu-Chien Lin, Ta-Sung Lee, Chia-Hung Lin

J. Signal Process. Syst., 2020

Low-Complexity High-Resolution Parameter Estimation for Automotive MIMO Radars.

Yu-Chien Lin, Ta-Sung Lee, Yun-Han Pan, Kuan-Hen Lin

IEEE Access, 2020

DL-Aided NOMP: a Deep Learning-Based Vital Sign Estimating Scheme Using FMCW Radar.

Hsin-Yuan Chang, Chia-Hung Lin, Yu-Chien Lin, Wei-Ho Chung, Ta-Sung Lee

Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

2019

Criss-Cross Construction of Synchronous-Symmetric Channel-Hopping Sequences for Cognitive Radio Networks With Arbitrary Number of Licensed Channels.

Yu-Chien Lin, Guu-Chang Yang, Ming-Jia Yao, Wing C. Kwong

IEEE Commun. Lett., 2019

DL-CFAR: A Novel CFAR Target Detection Method Based on Deep Learning.

Chia-Hung Lin, Yu-Chien Lin, Yue Bai, Wei-Ho Chung, Ta-Sung Lee, Heikki Huttunen

Proceedings of the 90th IEEE Vehicular Technology Conference, 2019

Non-Cooperative Interference Avoidance in Automotive OFDM Radars.

Yu-Chien Lin, Wei-Ho Chung, Ta-Sung Lee, Yun-Han Pan

Proceedings of the 89th IEEE Vehicular Technology Conference, 2019

2018

Geometric Approach to Passive Ranging in Underwater Localization Systems.

Yu-Chien Lin, Hsin-Jung Chen, Wei-Ho Chung, Ta-Sung Lee

IEEE Access, 2018

Machine Learning Techniques for Recognizing IoT Devices.

Yu-Chien Lin, Farn Wang

Proceedings of the New Trends in Computer Technologies and Applications, 2018