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Fangyuan Lei
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2020 – today
- 2024
- [j20]Fangyuan Lei, Ziwei Chen, Xiangmin Luo, Long Xu, Te Xue, Jianjian Jiang:
AHFormer: Hypergraph embedding coding transformer and adaptive aggregation network for intelligent fault diagnosis under noise interference. Adv. Eng. Informatics 61: 102518 (2024) - [j19]Xi Zeng, Fangyuan Lei, Chang-Dong Wang, Qing-Yun Dai:
Multi-view Heterogeneous Graph Neural Networks for Node Classification. Data Sci. Eng. 9(3): 294-308 (2024) - [j18]Fangyuan Lei, Jiahao Huang, Jianjian Jiang, Da Huang, Zhengming Li, Chang-Dong Wang:
Unveiling the potential of long-range dependence with mask-guided structure learning for hypergraph. Knowl. Based Syst. 284: 111254 (2024) - [j17]Xun Liu, Alex Hay-Man Ng, Linlin Ge, Fangyuan Lei, Xuejiao Liao:
Multibranch Fusion: A Multibranch Attention Framework by Combining Graph Convolutional Network and CNN for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - [j16]Xiangmin Luo, Ziwei Chen, Da Huang, Fangyuan Lei, Chang-Dong Wang, Iman Yi Liao:
An Unsupervised Domain Adaption Method for Fault Diagnosis via Multichannel Variational Hypergraph Autoencoder. IEEE Trans. Instrum. Meas. 73: 1-16 (2024) - 2023
- [j15]Senhong Wang, Jiangzhong Cao, Fangyuan Lei, Jianjian Jiang, Qingyun Dai, Bingo Wing-Kuen Ling:
Multiple kernel-based anchor graph coupled low-rank tensor learning for incomplete multi-view clustering. Appl. Intell. 53(4): 3687-3712 (2023) - [j14]Da Huang, Fangyuan Lei:
Temporal group-aware graph diffusion networks for dynamic link prediction. Inf. Process. Manag. 60(3): 103292 (2023) - [j13]Xun Liu, Fangyuan Lei, Guoqing Xia:
MulStepNET: stronger multi-step graph convolutional networks via multi-power adjacency matrix combination. J. Ambient Intell. Humaniz. Comput. 14(2): 1017-1026 (2023) - [j12]Zhengming Li, Zheng Zhang, Shuihua Wang, Ruijun Ma, Fangyuan Lei, Dan Xiang:
Structured analysis dictionary learning based on discriminative Fisher pair. J. Ambient Intell. Humaniz. Comput. 14(5): 5647-5664 (2023) - 2022
- [j11]Fangyuan Lei, Xun Liu, Jianjian Jiang, Liping Liao, Jun Cai, Huimin Zhao:
Graph convolutional networks with higher-order pooling for semisupervised node classification. Concurr. Comput. Pract. Exp. 34(16) (2022) - [j10]Fangyuan Lei, Qin Li:
Sequential multi-view subspace clustering. Neural Networks 155: 475-486 (2022) - [j9]Ruijun Ma, Bob Zhang, Yicong Zhou, Zhengming Li, Fangyuan Lei:
PID Controller-Guided Attention Neural Network Learning for Fast and Effective Real Photographs Denoising. IEEE Trans. Neural Networks Learn. Syst. 33(7): 3010-3023 (2022) - [c6]Da Huang, Fangyuan Lei:
Temporal Edge-Aware Hypergraph Convolutional Network for Dynamic Graph Embedding. PRICAI (1) 2022: 435-449 - [i3]Xun Liu, Alex Hay-Man Ng, Fangyuan Lei, Yikuan Zhang, Zhengmin Li:
GPNet: Simplifying Graph Neural Networks via Multi-channel Geometric Polynomials. CoRR abs/2209.15454 (2022) - 2021
- [j8]Xun Liu, Guoqing Xia, Fangyuan Lei, Yikuan Zhang, Shihui Chang:
Higher-Order Graph Convolutional Networks With Multi-Scale Neighborhood Pooling for Semi-Supervised Node Classification. IEEE Access 9: 31268-31275 (2021) - [j7]Senhong Wang, Jiangzhong Cao, Fangyuan Lei, Qingyun Dai, Shangsong Liang, Bingo Wing-Kuen Ling:
Semi-Supervised Multi-View Clustering with Weighted Anchor Graph Embedding. Comput. Intell. Neurosci. 2021: 4296247:1-4296247:22 (2021) - [c5]Jiahao Huang, Fangyuan Lei, Senhong Wang, Song Wang, Qingyun Dai:
Hypergraph Convolutional Network with Hybrid Higher-Order Neighbors. PRCV (4) 2021: 103-114 - [i2]Fangyuan Lei, Da Huang, Jianjian Jiang, Ruijun Ma, Senhong Wang, Jiangzhong Cao, Yusen Lin, Qingyun Dai:
PatentNet: A Large-Scale Incomplete Multiview, Multimodal, Multilabel Industrial Goods Image Database. CoRR abs/2106.12139 (2021) - 2020
- [j6]Fangyuan Lei, Xun Liu, Qingyun Dai, Bingo Wing-Kuen Ling, Huimin Zhao, Yan Liu:
Hybrid Low-Order and Higher-Order Graph Convolutional Networks. Comput. Intell. Neurosci. 2020: 3283890:1-3283890:9 (2020) - [c4]Jianjian Jiang, Fangyuan Lei, Qingyun Dai, Zhengmin Li:
Graph Pooling in Graph Neural Networks with Node Feature Correlation. DSIT 2020: 105-110
2010 – 2019
- 2019
- [j5]Fangyuan Lei, Jun Cai, Qingyun Dai, Huimin Zhao:
Deep Learning Based Proactive Caching for Effective WSN-Enabled Vision Applications. Complex. 2019: 5498606:1-5498606:12 (2019) - [j4]Huimin Zhao, Jinchang Ren, Jin Zhan, Yinyin Xiao, Sophia Zhao, Fangyuan Lei, Maher Assaad, Chunying Li:
Compressive sensing based secret signals recovery for effective image Steganalysis in secure communications. Multim. Tools Appl. 78(20): 29381-29394 (2019) - [c3]Fangyuan Lei, Xun Liu, Qingyun Dai, Huimin Zhao, Lin Wang, Rongfu Zhou:
A Multi-view Images Classification Based on Shallow Convolutional Neural Network. BICS 2019: 23-33 - [i1]Fangyuan Lei, Xun Liu, Qingyun Dai, Bingo Wing-Kuen Ling, Huimin Zhao, Yan Liu:
Hybrid Low-order and Higher-order Graph Convolutional Networks. CoRR abs/1908.00673 (2019) - 2018
- [j3]Jun Cai, Jian-Zhen Luo, Yan Liu, Wenguo Wei, Fangyuan Lei:
A network community restructuring mechanism for transport efficiency improvement in scale-free complex networks. Concurr. Comput. Pract. Exp. 30(5) (2018) - [c2]Fangyuan Lei, Qinyun Dai, Jun Cai, Huimin Zhao, Xun Liu, Yan Liu:
A Proactive Caching Strategy Based on Deep Learning in EPC of 5G. BICS 2018: 738-747 - 2016
- [j2]Fangyuan Lei, Jun Cai, Jianzhen Luo, Qingyun Dai, Huimin Zhao:
一种基于SDN的ICN高效缓存机制 (Efficient Caching Mechanism Based on Soft Defined Information-centric Networks). 计算机科学 43(8): 74-78 (2016) - [j1]Huimin Zhao, Wenguo Wei, Jun Cai, Fangyuan Lei, Jian-Zhen Luo:
Distributed compressed sensing for multi-sourced fusion and secure signal processing in private cloud. Multidimens. Syst. Signal Process. 27(4): 891-908 (2016) - 2015
- [c1]Huimin Zhao, Fangyuan Lei:
A Novel Video Authentication Scheme with Secure CS-Watermark in Cloud. BigMM 2015: 294-299
Coauthor Index
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last updated on 2024-10-07 21:17 CEST by the dblp team
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