Stebėti
Long Zhuang
Long Zhuang
PhD Candidate, Southeast University
Patvirtintas el. paštas seu.edu.cn
Pavadinimas
Cituota
Cituota
Metai
T-RODNet: Transformer for vehicular millimeter-wave radar object detection
T Jiang, L Zhuang, Q An, J Wang, K Xiao, A Wang
IEEE Transactions on Instrumentation and Measurement 72, 1-12, 2022
312022
A multimodal gated recurrent unit neural network model for damage assessment in CFRP composites based on Lamb waves and minimal sensing
L Zhuang, K Luo, Z Yang
IEEE Transactions on Instrumentation and Measurement 73, 1-11, 2024
212024
Ultrasonic lamb wave damage detection of cfrp composites using the bayesian neural network
K Luo, J Zhu, Z Li, H Zhu, Y Li, R Hu, T Fan, X Chang, L Zhuang, Z Yang
Journal of Nondestructive Evaluation 43 (2), 48, 2024
102024
Effective mmWave radar object detection pretraining based on masked image modeling
L Zhuang, T Jiang, J Wang, Q An, K Xiao, A Wang
IEEE Sensors Journal 24 (3), 3999-4010, 2023
72023
LQCANet: Learnable-Query-Guided Multi-Scale Fusion Network Based on Cross-Attention for Radar Semantic Segmentation
L Zhuang, T Jiang, H Jiang, A Wang, Z Huang
IEEE Transactions on Intelligent Vehicles 9 (2), 3330-3344, 2023
32023
Transformer generates conditional convolution kernels for end-to-end lane detection
L Zhuang, T Jiang, M Qiu, A Wang, Z Huang
IEEE Sensors Journal, 2024
22024
Design of dual-band filtering patch antenna slot coupling feed
T Jiang, L Zhuang, J Wang, Q An
International Journal of Microwave and Wireless Technologies, 1-9, 2025
2025
CT-RURnet: a novel network design for radar unmanned aerial vehicles recognition
T Jiang, Q Li, Z Huang, L Zhuang
Measurement Science and Technology 36 (2), 026101, 2024
2024
Convolutional neural network-based object classification for unmanned aerial vehicles using micro-Doppler features
T Jiang, Q Li, L Zhuang
IET Conference Proceedings CP874 2023 (47), 1805-1809, 2023
2023
Pre-Training For mmWave Radar Object Detection Through Masked Image Modeling
L Zhuang, T Jiang
2023 International Conference on Image Processing, Computer Vision and …, 2023
2023
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