DCSK Multi-Access Scheme for UHF RFID System. - Keqiang Yue; Lingling Sun; Bin You; Shengzhou Zhang (J. Networks, 2014)

Automatic Recognition and Classification System of Thyroid Nodules in CT Images Based on CNN. - Wenjun Li; Siyi Cheng; Kai Qian; Keqiang Yue; Hao Liu 052 (Comput. Intell. Neurosci., 2021)

A Framework for Automatic Burn Image Segmentation and Burn Depth Diagnosis Using Deep Learning. - Hao Liu 052; Keqiang Yue; Siyi Cheng; Wenjun Li; Zhihui Fu (Comput. Math. Methods Medicine, 2021)

Simulation and Experimental Study of Bladder Filling Degree based on a High-Fidelity 3D Model of The Lower Abdomen Built by CT Image. - Yuhang Li; Wenjun Li; Yilin Li; Keqiang Yue; Ruixue Li; Haozhe Shen (ICBSP, 2022)

Automated sleep apnea detection in snoring signal using long short-term memory neural networks. - Siyi Cheng; Chao Wang; Keqiang Yue; Ruixue Li; Fanlin Shen; Wenjie Shuai; Wenjun Li; Lili Dai (Biomed. Signal Process. Control., 2022)

A Spiking Neural Network Based on Retinal Ganglion Cells for Automatic Burn Image Segmentation. - Jiakai Liang; Ruixue Li; Chao Wang; Rulin Zhang; Keqiang Yue; Wenjun Li; Yilin Li (Entropy, 2022)

Deep Reinforcement Learning Based Decision Making for Complex Jamming Waveforms. - Yuting Xu; Chao Wang; Jiakai Liang; Keqiang Yue; Wenjun Li; Shilian Zheng; Zhijin Zhao (Entropy, 2022)

Path Planning Research of a UAV Base Station Searching for Disaster Victims' Location Information Based on Deep Reinforcement Learning. - Jinduo Zhao; Zhigao Gan; Jiakai Liang; Chao Wang; Keqiang Yue; Wenjun Li; Yilin Li; Ruixue Li (Entropy, 2022)

Attention-Based Convolutional Neural Network for Ingredients Identification. - Shi Chen; Ruixue Li; Chao Wang; Jiakai Liang; Keqiang Yue; Wenjun Li; Yilin Li (Entropy, 2023)

Convolutional neural network for screening of obstructive sleep apnea using snoring sounds. - Ruixue Li; Wenjun Li; Keqiang Yue; Yilin Li (Biomed. Signal Process. Control., 2023)

OFDM sensing based on deep learning. - Shilian Zheng; Fei Wei; Xiaoyu Zhou; Fengyang Gu; Keqiang Yue; Caiyi Lou; Zhijin Zhao; Xiaoniu Yang (Phys. Commun., 2023)

Detection of DSSS Signals Based on Autocorrelation Compressed Sampling and Deep Learning. - Fengyang Gu; Shilian Zheng; Keqiang Yue; Zhijin Zhao; Xiaoniu Yang (ICCT, 2024)

A knowledge distillation strategy for enhancing the adversarial robustness of lightweight automatic modulation classification models. - Fanghao Xu; Chao Wang; Jiakai Liang; Chenyang Zuo; Keqiang Yue; Wenjun Li (IET Commun., 2024)

Adversarial attacks and adversarial training for burn image segmentation based on deep learning. - Luying Chen; Jiakai Liang; Chao Wang; Keqiang Yue; Wenjun Li; Zhihui Fu (Medical Biol. Eng. Comput., 2024)

AIR: Threats of Adversarial Attacks on Deep Learning-Based Information Recovery. - Jinyin Chen; Jie Ge; Shilian Zheng; Linhui Ye; Haibin Zheng; Weiguo Shen; Keqiang Yue; Xiaoniu Yang (IEEE Trans. Wirel. Commun., 2024)

Learning improvement of spiking neural networks with dynamic adaptive hyperparameter neurons. - Jiakai Liang; Chao Wang; De Ma; Ruixue Li; Keqiang Yue; Wenjun Li (Appl. Intell., 2024)

Research on path planning in UAV-assisted emergency communication. - Xiandeng Yang; Chao Wang; Jiakai Liang; Jinduo Zhao; Keqiang Yue; Wenjun Li (EURASIP J. Wirel. Commun. Netw., 2024)