LPI Radar Signal Modulation Recognition with Feature Fusion Based on Time- frequency Transforms. - Shitong Li; Daying Quan; Xiaofeng Wang 004; Xiaoping Jin (WCSP, 2021)

Performance analysis of CIM-STSK system. - Lina Bian; Daying Quan; Xiaoping Jin (IET Commun., 2022)

Differential space time media-based modulation system. - Hongliang Zou; Daying Quan; Xiaoping Jin; Yueru Zhou (IET Commun., 2022)

A Novel Double Ensemble Algorithm for the Classification of Multi-Class Imbalanced Hyperspectral Data. - Daying Quan; Wei Feng 004; Gabriel Dauphin; Xiaofeng Wang 004; Wenjiang Huang; Mengdao Xing (Remote. Sens., 2022)

LPI Radar Signal Recognition Based on Dual-Channel CNN and Feature Fusion. - Daying Quan; Zeyu Tang 004; Xiaofeng Wang 004; Wenchao Zhai; Chongxiao Qu (Symmetry, 2022)

Radar Signal Recognition Based on Deep Feature Fusion of Multiple Time-frequency Images. - Zhipeng Hu; Huihui Li; Zeyu Tang 004; Xiaofeng Wang 004; Jia Sun; Daying Quan (WCSP, 2023)

Data-Augmented Deep Learning Models for Abnormal Road Manhole Cover Detection. - Dongping Zhang; Xuecheng Yu; Li Yang; Daying Quan; Hongmei Mi; Ke Yan (Sensors, 2023)

Automatic Modulation Classification Based on Multi-Scale Graph Neural Network with LSTM. - Yuntao Chen; Xiaofeng Wang 004; Shuaiming Lai; Fuhua Xu; Daying Quan; Fang Zhou (ICMLCA, 2024)

Multilayer Decomposition Denoising Empowered CNN for Radar Signal Modulation Recognition. - Mengting Jiang; Fang Zhou; Lai Shen; Xiaofeng Wang 004; Daying Quan; Ning Jin 001 (IEEE Access, 2024)

Radar Signal Recognition Based on Multi-Task Learning. - Huihui Li; Daying Quan; Fang Zhou; Feitao Ren; Kaiyin Yu; Ning Jin 001; Jiongfeng Wu (IEEE Access, 2024)

Radar Signal Recognition Based on CSRDNN Network. - Zheng Zhang; Chuan Wan; Yi Chen; Fang Zhou; Xiaofei Zhu; Wenchao Zhai; Daying Quan (IEEE Access, 2024)

Self-supervised graph autoencoder with redundancy reduction for community detection. - Xiaofeng Wang 004; Guodong Shen; Zengjie Zhang; Shuaiming Lai; Shuailei Zhu; Yuntao Chen; Daying Quan (Neurocomputing, 2024)

Forecasting long-term sequences based on a seasonal and periodic-trend feature disentangled network. - Dongping Zhang; Yuejian Xia; Daying Quan; Hongmei Mi; Xin Hou; Lili Lin (J. Frankl. Inst., 2024)

Multi-graph aggregated graph neural network for heterogeneous graph representation learning. - Shuailei Zhu; Xiaofeng Wang 004; Shuaiming Lai; Yuntao Chen; Wenchao Zhai; Daying Quan; Yuanyuan Qi; Laishui Lv (Int. J. Mach. Learn. Cybern., 2025)