Daying Quan

20 papers Journal 17Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Graph Neural Network Recommendation System for Joint Comment Text Representation.
IEEE Trans. Ind. Informatics
Jun Min, Wenjin Wei, Binliang Wang, Zhiwei Gao, Daying Quan
2026 J jnl
Hybrid self-supervised learning based on higher-order structures for graph anomaly detection.
Neurocomputing
Tianxiang Lv, Xiaofeng Wang, Shuaiming Lai, Tao Xie, Xi Zheng, Daying Quan, Yuanyuan Qi, Fang Zhou
2026 J jnl
Knowledge-Enhanced Graph Contrastive Learning for Recommendations.
IEEE Trans. Multim.
Xiaofeng Wang, Zhengjie Zhang, Yuanyuan Qi, Guodong Shen, Shuaiming Lai, Yuntao Chen, Fang Zhou, Daying Quan
2026 J jnl
Reconfigurable Intelligent Surface Grouping Design Index Modulation Multiple Access.
IEEE Trans. Veh. Technol.
Lingling Xu, Xiaoping Jin, Xiandu Jin, Chongwen Huang, Yudong Yao, Daying Quan
2026 J jnl
Self-supervised graph anomaly detection via reconstruction enhancement and multiscale contrastive learning.
Inf. Sci.
Xiwen Zheng, Xiaofeng Wang, Yongxia Zhou, Tianxiang Lv, Tao Xie, Hao Yu, Shihuan Zhang, Fang Zhou, Junzheng Jiang, Daying Quan
2025 J jnl
Multi-graph aggregated graph neural network for heterogeneous graph representation learning.
Int. J. Mach. Learn. Cybern.
Shuailei Zhu, Xiaofeng Wang, Shuaiming Lai, Yuntao Chen, Wenchao Zhai, Daying Quan, Yuanyuan Qi, Laishui Lv
2025 J jnl
Redundancy-aware masked graph autoencoder for overlapping community detection in attributed networks.
Eng. Appl. Artif. Intell.
Hongkai Xie, Xinyi Ying, Xiaofeng Wang, Yuanyuan Qi, Wei Chen, Xiaofeng Huang, Junzheng Jiang, Daying Quan
2024 — conf
Automatic Modulation Classification Based on Multi-Scale Graph Neural Network with LSTM.
ICMLCA
Yuntao Chen, Xiaofeng Wang, Shuaiming Lai, Fuhua Xu, Daying Quan, Fang Zhou
2024 J jnl
Forecasting long-term sequences based on a seasonal and periodic-trend feature disentangled network.
J. Frankl. Inst.
Dongping Zhang, Yuejian Xia, Daying Quan, Hongmei Mi, Xin Hou, Lili Lin
2024 J jnl
Multilayer Decomposition Denoising Empowered CNN for Radar Signal Modulation Recognition.
IEEE Access
Mengting Jiang, Fang Zhou, Lai Shen, Xiaofeng Wang, Daying Quan, Ning Jin
2024 J jnl
Radar Signal Recognition Based on CSRDNN Network.
IEEE Access
Zheng Zhang, Chuan Wan, Yi Chen, Fang Zhou, Xiaofei Zhu, Wenchao Zhai, Daying Quan
2024 J jnl
Radar Signal Recognition Based on Multi-Task Learning.
IEEE Access
Huihui Li, Daying Quan, Fang Zhou, Feitao Ren, Kaiyin Yu, Ning Jin, Jiongfeng Wu
2024 J jnl
Self-supervised graph autoencoder with redundancy reduction for community detection.
Neurocomputing
Xiaofeng Wang, Guodong Shen, Zengjie Zhang, Shuaiming Lai, Shuailei Zhu, Yuntao Chen, Daying Quan
2023 J jnl
Data-Augmented Deep Learning Models for Abnormal Road Manhole Cover Detection.
Sensors
Dongping Zhang, Xuecheng Yu, Li Yang, Daying Quan, Hongmei Mi, Ke Yan
2023 — conf
Radar Signal Recognition Based on Deep Feature Fusion of Multiple Time-frequency Images.
WCSP
Zhipeng Hu, Huihui Li, Zeyu Tang, Xiaofeng Wang, Jia Sun, Daying Quan
2022 J jnl
A Novel Double Ensemble Algorithm for the Classification of Multi-Class Imbalanced Hyperspectral Data.
Remote. Sens.
Daying Quan, Wei Feng, Gabriel Dauphin, Xiaofeng Wang, Wenjiang Huang, Mengdao Xing
2022 J jnl
Differential space time media-based modulation system.
IET Commun.
Hongliang Zou, Daying Quan, Xiaoping Jin, Yueru Zhou
2022 J jnl
LPI Radar Signal Recognition Based on Dual-Channel CNN and Feature Fusion.
Symmetry
Daying Quan, Zeyu Tang, Xiaofeng Wang, Wenchao Zhai, Chongxiao Qu
2022 J jnl
Performance analysis of CIM-STSK system.
IET Commun.
Lina Bian, Daying Quan, Xiaoping Jin
2021 — conf
LPI Radar Signal Modulation Recognition with Feature Fusion Based on Time- frequency Transforms.
WCSP
Shitong Li, Daying Quan, Xiaofeng Wang, Xiaoping Jin