| Low-complexity high-resolution parameter estimation for automotive MIMO radars YC Lin, TS Lee, YH Pan, KH Lin IEEE Access 8, 16127-16138, 2019 | 36 | 2019 |
| DL-CFAR: a novel cfar target detection method based on deep learning CH Lin, YC Lin, Y Bai, WH Chung, TS Lee, H Huttunen 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall), 1-6, 2019 | 30 | 2019 |
| Deep learning phase compression for MIMO CSI feedback by exploiting FDD channel reciprocity YC Lin, Z Liu, TS Lee, Z Ding IEEE Wireless Communications Letters 10 (10), 2200-2204, 2021 | 23 | 2021 |
| A survey on deep learning-based vehicular communication applications CH Lin, YC Lin, YJ Wu, WH Chung, TS Lee Journal of Signal Processing Systems 93, 369-388, 2021 | 21 | 2021 |
| Max-MUSIC: a low-complexity high-resolution direction finding method for sparse MIMO radars YC Lin, TS Lee IEEE Sensors Journal 20 (24), 14914-14923, 2020 | 21 | 2020 |
| Analysis and design for pilot power allocation and placement in OFDM based integrated radar and communication in automobile systems HW Hsu, MC Lee, MX Gu, YC Lin, TS Lee IEEE Transactions on Vehicular Technology 71 (2), 1519-1535, 2021 | 15 | 2021 |
| GCN-CNVPS: Novel method for cooperative neighboring vehicle positioning system based on graph convolution network CH Lin, YH Fang, HY Chang, YC Lin, WH Chung, SC Lin, TS Lee IEEE Access 9, 153429-153441, 2021 | 13 | 2021 |
| Dl-aided nomp: a deep learning-based vital sign estimating scheme using fmcw radar HY Chang, CH Lin, YC Lin, WH Chung, TS Lee 2020 IEEE 91st vehicular technology conference (VTC2020-Spring), 1-7, 2020 | 9 | 2020 |
| Deep-learning based decentralized frame-to-frame trajectory prediction over binary range-angle maps for automotive radars YC Lin, MX Gu, CH Lin, TS Lee IEEE Transactions on Vehicular Technology 70 (7), 6385-6398, 2021 | 7 | 2021 |
| Geometric approach to passive ranging in underwater localization systems YC Lin, HJ Chen, WH Chung, TS Lee IEEE Access 6, 54018-54032, 2018 | 7 | 2018 |
| Non-cooperative interference avoidance in automotive OFDM radars YC Lin, WH Chung, TS Lee, YH Pan 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring), 1-5, 2019 | 5 | 2019 |
| A Scalable Deep Learning Framework for Dynamic CSI Feedback with Variable Antenna Port Numbers YC Lin, TS Lee, Z Ding IEEE Transactions on Wireless Communications, 2023 | 4 | 2023 |
| Deep learning for partial MIMO CSI feedback by exploiting channel temporal correlation YC Lin, TS Lee, Z Ding 2021 55th Asilomar Conference on Signals, Systems, and Computers, 345-350, 2021 | 3 | 2021 |
| Deep learning-based range-doppler map reconstruction in automotive radar systems HW Hsu, YC Lin, MC Lee, CH Lin, TS Lee 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), 1-7, 2021 | 3 | 2021 |
| Quality of experience optimization system and method TS Lee, EC Liou, YC Lin, TY Kuo, CH Lin US Patent 11,570,063, 2023 | 2 | 2023 |
| Interference avoidance and cancellation in automotive OFDM radar networks YC Lin, TS Lee, CH Lin Journal of Signal Processing Systems 92, 1383-1396, 2020 | 2 | 2020 |
| Physics-Inspired Deep Learning Anti-Aliasing Framework in Efficient Channel State Feedback YC Lin, Y Xin, TS Lee, Z Ding arXiv preprint arXiv:2403.08133, 2024 | 1 | 2024 |
| Training-Free Cost-Efficient Compression for Massive MIMO Channel State Feedback YC Lin, TS Lee, Z Ding GLOBECOM 2023-2023 IEEE Global Communications Conference, 3391-3396, 2023 | 1 | 2023 |
| Exploiting partial FDD reciprocity for beam based pilot precoding and CSI feedback in deep learning YC Lin, TS Lee, Z Ding IEEE Transactions on Wireless Communications, 2023 | 1 | 2023 |
| Learning-Based Phase Compression and Quantization for Massive MIMO CSI Feedback with Magnitude-Aided Information YC Lin, Z Liu, TS Lee, Z Ding arXiv preprint arXiv:2103.00432, 2021 | 1 | 2021 |
Chia-Hung LinNorth Carolina State University在 ncsu.edu 的电子邮件经过验证
