Xiaofeng Wang

20 papers B 1Journal 16Unranked 3
YearRankTypeTitle / Venue / Authors
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
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
Graph Anomaly Detection via Multiscale Contrastive Self-Supervised Learning From Local to Global.
IEEE Trans. Comput. Soc. Syst.
Xiaofeng Wang, Shuaiming Lai, Shuailei Zhu, Yuntao Chen, Laishui Lv, Yuanyuan Qi
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
Multi-view knowledge graph convolutional networks for recommendation.
Appl. Soft Comput.
Xiaofeng Wang, Zengjie Zhang, Guodong Shen, Shuaiming Lai, Yuntao Chen, Shuailei Zhu
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
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
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 — 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
LPI Radar Signal Recognition Based on Dual-Channel CNN and Feature Fusion.
Symmetry
Daying Quan, Zeyu Tang, Xiaofeng Wang, Wenchao Zhai, Chongxiao Qu
2021 J jnl
Baggage Image Retrieval with Attention-Based Network for Security Checks.
Int. J. Pattern Recognit. Artif. Intell.
Gan Huang, Li Yang, Ding Zhang, Xiaofeng Wang, Yanfu Wang
2021 — conf
LPI Radar Signal Modulation Recognition with Feature Fusion Based on Time- frequency Transforms.
WCSP
Shitong Li, Daying Quan, Xiaofeng Wang, Xiaoping Jin
2021 J jnl
Unsupervised learning for community detection in attributed networks based on graph convolutional network.
Neurocomputing
Xiaofeng Wang, Jianhua Li, Li Yang, Hongmei Mi
2021 J jnl
Weakly-supervised learning for community detection based on graph convolution in attributed networks.
Int. J. Mach. Learn. Cybern.
Xiaofeng Wang, Jianhua Li, Li Yang, Hongmei Mi, Jia Yuan Yu
2017 J jnl
Overlapping Community Detection Based on Structural Centrality in Complex Networks.
IEEE Access
Xiaofeng Wang, Gongshen Liu, Jianhua Li
2016 J jnl
Uncovering fuzzy communities in networks with structural similarity.
Neurocomputing
Xiaofeng Wang, Gongshen Liu, Li Pan, Jianhua Li
2014 B conf
A detecting community method in complex networks with fuzzy clustering.
DSAA
Xiaofeng Wang, Gongshen Liu, Jianhua Li