A Novel Video Authentication Scheme with Secure CS-Watermark in Cloud. - Huimin Zhao 001; Fangyuan Lei (BigMM, 2015)

一种基于SDN的ICN高效缓存机制 (Efficient Caching Mechanism Based on Soft Defined Information-centric Networks). - Fangyuan Lei; Jun Cai 002; Jianzhen Luo; Qingyun Dai; Huimin Zhao 001 (计算机科学, 2016)

Distributed compressed sensing for multi-sourced fusion and secure signal processing in private cloud. - Huimin Zhao 001; Wenguo Wei; Jun Cai 002; Fangyuan Lei; Jian-Zhen Luo (Multidimens. Syst. Signal Process., 2016)

A Proactive Caching Strategy Based on Deep Learning in EPC of 5G. - Fangyuan Lei; Qinyun Dai; Jun Cai 002; Huimin Zhao 001; Xun Liu; Yan Liu 042 (BICS, 2018)

A network community restructuring mechanism for transport efficiency improvement in scale-free complex networks. - Jun Cai 002; Jian-Zhen Luo; Yan Liu 042; Wenguo Wei; Fangyuan Lei (Concurr. Comput. Pract. Exp., 2018)

A Multi-view Images Classification Based on Shallow Convolutional Neural Network. - Fangyuan Lei; Xun Liu; Qingyun Dai; Huimin Zhao 001; Lin Wang; Rongfu Zhou (BICS, 2019)

Deep Learning Based Proactive Caching for Effective WSN-Enabled Vision Applications. - Fangyuan Lei; Jun Cai 002; Qingyun Dai; Huimin Zhao 001 (Complex., 2019)

Compressive sensing based secret signals recovery for effective image Steganalysis in secure communications. - Huimin Zhao 001; Jinchang Ren; Jin Zhan; Yinyin Xiao; Sophia Zhao; Fangyuan Lei; Maher Assaad; Chunying Li (Multim. Tools Appl., 2019)

Graph Pooling in Graph Neural Networks with Node Feature Correlation. - Jianjian Jiang; Fangyuan Lei; Qingyun Dai; Zhengmin Li (DSIT, 2020)

Hybrid Low-Order and Higher-Order Graph Convolutional Networks. - Fangyuan Lei; Xun Liu; Qingyun Dai; Bingo Wing-Kuen Ling; Huimin Zhao 001; Yan Liu 042 (Comput. Intell. Neurosci., 2020)

Hypergraph Convolutional Network with Hybrid Higher-Order Neighbors. - Jiahao Huang; Fangyuan Lei; Senhong Wang; Song Wang 002; Qingyun Dai (PRCV (4), 2021)

Higher-Order Graph Convolutional Networks With Multi-Scale Neighborhood Pooling for Semi-Supervised Node Classification. - Xun Liu; Guoqing Xia; Fangyuan Lei; Yikuan Zhang; Shihui Chang (IEEE Access, 2021)

Semi-Supervised Multi-View Clustering with Weighted Anchor Graph Embedding. - Senhong Wang; Jiangzhong Cao; Fangyuan Lei; Qingyun Dai; Shangsong Liang; Bingo Wing-Kuen Ling (Comput. Intell. Neurosci., 2021)

PatentNet: A Large-Scale Incomplete Multiview, Multimodal, Multilabel Industrial Goods Image Database. - Fangyuan Lei; Da Huang; Jianjian Jiang; Ruijun Ma; Senhong Wang; Jiangzhong Cao; Yusen Lin; Qingyun Dai (CoRR, 2021)

Temporal Edge-Aware Hypergraph Convolutional Network for Dynamic Graph Embedding. - Da Huang; Fangyuan Lei (PRICAI (1), 2022)

Graph convolutional networks with higher-order pooling for semisupervised node classification. - Fangyuan Lei; Xun Liu; Jianjian Jiang; Liping Liao; Jun Cai 002; Huimin Zhao 001 (Concurr. Comput. Pract. Exp., 2022)

GPNet: Simplifying Graph Neural Networks via Multi-channel Geometric Polynomials. - Xun Liu; Alex Hay-Man Ng; Fangyuan Lei; Yikuan Zhang; Zhengmin Li (CoRR, 2022)

Sequential multi-view subspace clustering. - Fangyuan Lei; Qin Li (Neural Networks, 2022)

PID Controller-Guided Attention Neural Network Learning for Fast and Effective Real Photographs Denoising. - Ruijun Ma 001; Bob Zhang 001; Yicong Zhou; Zhengming Li; Fangyuan Lei (IEEE Trans. Neural Networks Learn. Syst., 2022)

Structured analysis dictionary learning based on discriminative Fisher pair. - Zhengming Li; Zheng Zhang 006; Shuihua Wang; Ruijun Ma 001; Fangyuan Lei; Dan Xiang (J. Ambient Intell. Humaniz. Comput., 2023)

Multiple kernel-based anchor graph coupled low-rank tensor learning for incomplete multi-view clustering. - Senhong Wang; Jiangzhong Cao; Fangyuan Lei; Jianjian Jiang; Qingyun Dai; Bingo Wing-Kuen Ling (Appl. Intell., 2023)

MulStepNET: stronger multi-step graph convolutional networks via multi-power adjacency matrix combination. - Xun Liu; Fangyuan Lei; Guoqing Xia (J. Ambient Intell. Humaniz. Comput., 2023)

Temporal group-aware graph diffusion networks for dynamic link prediction. - Da Huang; Fangyuan Lei (Inf. Process. Manag., 2023)

AHFormer: Hypergraph embedding coding transformer and adaptive aggregation network for intelligent fault diagnosis under noise interference. - Fangyuan Lei; Ziwei Chen; Xiangmin Luo; Long Xu; Te Xue; Jianjian Jiang (Adv. Eng. Informatics, 2024)

Unveiling the potential of long-range dependence with mask-guided structure learning for hypergraph. - Fangyuan Lei; Jiahao Huang; Jianjian Jiang; Da Huang; Zhengming Li; Chang-Dong Wang 001 (Knowl. Based Syst., 2024)

Multibranch Fusion: A Multibranch Attention Framework by Combining Graph Convolutional Network and CNN for Hyperspectral Image Classification. - Xun Liu; Alex Hay-Man Ng; Linlin Ge; Fangyuan Lei; Xuejiao Liao (IEEE Trans. Geosci. Remote. Sens., 2024)

An Unsupervised Domain Adaption Method for Fault Diagnosis via Multichannel Variational Hypergraph Autoencoder. - Xiangmin Luo; Ziwei Chen; Da Huang; Fangyuan Lei; Chang-Dong Wang 001; Iman Yi Liao (IEEE Trans. Instrum. Meas., 2024)

Multi-view Heterogeneous Graph Neural Networks for Node Classification. - Xi Zeng; Fangyuan Lei; Chang-Dong Wang 001; Qing-Yun Dai (Data Sci. Eng., 2024)

Dual-channel hypergraph networks in the time-frequency domain for learning advanced spatiotemporal dependencies in multivariate time series. - Ziwei Chen; Jianjian Jiang; Xiangmin Luo; Fangyuan Lei; Xiaochen Yuan; Jin Zhan (Neurocomputing, 2025)

GPNet: Simplifying graph neural networks via multi-channel geometric polynomials. - Xun Liu; Alex Hay-Man Ng; Fangyuan Lei; Yikuan Zhang; Zhengming Li (Inf. Sci., 2025)

An Attention Architecture With Twice Attention Convolution and Simplified Transformer for Hyperspectral Image Classification. - Xuejiao Liao; Fangyuan Lei; Xun Liu; Li Guo; Alex Hay-Man Ng; Jinchang Ren (IEEE Geosci. Remote. Sens. Lett., 2025)

LKVHAN: Multiscale Large Kernel Vertical-Horizontal Attention Network for Hyperspectral Image Classification. - Xun Liu; Alex Hay-Man Ng; Xuejiao Liao; Fangyuan Lei; Jinchang Ren; Linlin Ge (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

MSLKCNN: A Simple and Powerful Multiscale Large Kernel CNN for Hyperspectral Image Classification. - Xun Liu; Alex Hay-Man Ng; Fangyuan Lei; Jinchang Ren; Li Guo; Zheyuan Du (IEEE Trans. Geosci. Remote. Sens., 2025)

Multi-granularity hypergraph-guided transformer learning framework for visual classification. - Jianjian Jiang; Ziwei Chen; Fangyuan Lei; Long Xu; Jiahao Huang; Xiaochen Yuan (Vis. Comput., 2025)