Zhihao WU

Publications

†co-first author      *corresponding author

1. 

   Graph Convolutional Kernel versus Graph Convolutional Networks

   Zhihao Wu, Zhao Zhang, and Jicong Fan

   Advances in Neural Information Processing Systems 2023

   Bib Code

   @article{wu2023gckm,
     author = {Wu, Zhihao and Zhang, Zhao and Fan, Jicong},
     journal = {Advances in Neural Information Processing Systems},
     title = {Graph Convolutional Kernel versus Graph Convolutional Networks},
     year = {2023},
   }

2. 

   Interpretable Graph Convolutional Network for Multi-View Semi-Supervised Learning

   Zhihao Wu, Xincan Lin, Zhenghong Lin, Zhaoliang Chen, Yang Bai, and Shiping Wang

   IEEE Transactions on Multimedia 2023

   Bib PDF Code

   @article{Interpretable2023Wu,
     author = {Wu, Zhihao and Lin, Xincan and Lin, Zhenghong and Chen, Zhaoliang and Bai, Yang and Wang, Shiping},
     journal = {IEEE Transactions on Multimedia},
     title = {Interpretable Graph Convolutional Network for Multi-View Semi-Supervised Learning},
     year = {2023},
     pages = {1-14},
     doi = {10.1109/TMM.2023.3260649},
   }

3. 

   Graph Convolutional Network with Elastic Topology

   Zhihao Wu, Zhaoliang Chen, Shide Du, Sujia Huang, and Shiping Wang

   Pattern Recognition 2024

   Bib Code

   @article{elastic2024Wu,
     author = {Wu, Zhihao and Chen, Zhaoliang and Du, Shide and Huang, Sujia and Wang, Shiping},
     journal = {Pattern Recognition},
     title = {Graph Convolutional Network with Elastic Topology},
     year = {2024},
   }

4. 

   Kernel Readout for Graph Neural Networks

   Jiajun Yu†, Zhihao Wu†, Jia Adele Lu, and Jicong Fan

   In International Joint Conference on Artificial Intelligence 2024
5. 

   Beyond Graph Convolutional Network: An Interpretable Regularizer-Centered Optimization Framework

   Shiping Wang, Zhihao Wu, Yuhong Chen, and Yong Chen

   In AAAI Conference on Artificial Intelligence 2023

   Bib PDF Code

   @inproceedings{Wang0CC23,
     author = {Wang, Shiping and Wu, Zhihao and Chen, Yuhong and Chen, Yong},
     booktitle = {AAAI Conference on Artificial Intelligence},
     title = {Beyond Graph Convolutional Network: An Interpretable Regularizer-Centered Optimization Framework},
     year = {2023},
     pages = {4693--4701},
     doi = {10.1609/AAAI.V37I4.25593},
   }

6. 

   Attributed Multi-order Graph Convolutional Network for Heterogeneous Graphs

   Zhaoliang Chen, Zhihao Wu, Luying Zhong, Claudia Plant, Shiping Wang, and Wenzhong Guo

   Neural Networks 2024

   Bib Code

   @article{chen2023attributed,
     title = {Attributed Multi-order Graph Convolutional Network for Heterogeneous Graphs},
     author = {Chen, Zhaoliang and Wu, Zhihao and Zhong, Luying and Plant, Claudia and Wang, Shiping and Guo, Wenzhong},
     journal = {Neural Networks},
     year = {2024},
   }

7. 

   Dual Low-Rank Graph Autoencoder for Semantic and Topological Networks

   Zhaoliang Chen, Zhihao Wu, Shiping Wang, and Wenzhong Guo

   In AAAI Conference on Artificial Intelligence 2023

   Bib PDF Code

   @inproceedings{ChenDLRGAE22,
     author = {Chen, Zhaoliang and Wu, Zhihao and Wang, Shiping and Guo, Wenzhong},
     booktitle = {AAAI Conference on Artificial Intelligence},
     volume = {37},
     number = {4},
     pages = {4191-4198},
     year = {2023},
     doi = {10.1609/aaai.v37i4.25536},
   }

8. 

   AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing

   Zhaoliang Chen, Zhihao Wu, Zhenghong Lin, Shiping Wang, Claudia Plant, and Wenzhong Guo

   IEEE Transactions on Neural Networks and Learning Systems 2023

   Bib PDF Code

   @article{chen2023agnn,
     author = {Chen, Zhaoliang and Wu, Zhihao and Lin, Zhenghong and Wang, Shiping and Plant, Claudia and Guo, Wenzhong},
     journal = {IEEE Transactions on Neural Networks and Learning Systems},
     title = {AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing},
     year = {2023},
     pages = {1-13},
     doi = {10.1109/TNNLS.2023.3271623},
   }

9. 

   Generative Essential Graph Convolutional Network for Multi-view Semi-supervised Classification

   Jielong Lu, Zhihao Wu, Luying Zhong, Zhaoliang Chen, Hong Zhao, and Shiping Wang

   IEEE Transactions on Multimedia 2024

   Bib Code

   @article{generative2024Lu,
     author = {Lu, Jielong and Wu, Zhihao and Zhong, Luying and Chen, Zhaoliang and Zhao, Hong and Wang, Shiping},
     journal = {IEEE Transactions on Multimedia},
     title = {Generative Essential Graph Convolutional Network for Multi-view Semi-supervised Classification},
     year = {2024},
     pages = {1-12},
   }

10. 

    Joint Learning of Feature and Topology for Multi-view Graph Convolutional Network

    Yuhong Chen, Zhihao Wu, Zhaoliang Chen, Mianxiong Dong, and Shiping Wang

    Neural Networks 2023

    Bib PDF Code

    @article{chen2023joint,
      author = {Chen, Yuhong and Wu, Zhihao and Chen, Zhaoliang and Dong, Mianxiong and Wang, Shiping},
      doi = {10.1016/j.neunet.2023.09.006},
      journal = {Neural Networks},
      title = {Joint Learning of Feature and Topology for Multi-view Graph Convolutional Network},
      year = {2023},
    }

11. 

    UMCGL: Universal Multi-view Consensus Graph Learning with Consistency and Diversity

    Shide Du, Zhiling Cai, Zhihao Wu, Yueyang Pi, and Shiping Wang

    IEEE Transactions on Image Process 2024

    Bib

    @article{du2024UMCGL,
      author = {Du, Shide and Cai, Zhiling and Wu, Zhihao and Pi, Yueyang and Wang, Shiping},
      journal = {IEEE Transactions on Image Process},
      title = {UMCGL: Universal Multi-view Consensus Graph Learning with Consistency and Diversity},
      year = {2024},
    }

12. 

    Learnable Graph Convolutional Network With Semisupervised Graph Information Bottleneck

    Luying Zhong, Zhaoliang Chen, Zhihao Wu, Shide Du, Zheyi Chen, and Shiping Wang

    IEEE Transactions on Neural Networks and Learning Systems 2023

    Bib PDF

    @article{zhong2023lgcn,
      author = {Zhong, Luying and Chen, Zhaoliang and Wu, Zhihao and Du, Shide and Chen, Zheyi and Wang, Shiping},
      journal = {IEEE Transactions on Neural Networks and Learning Systems},
      title = {Learnable Graph Convolutional Network With Semisupervised Graph Information Bottleneck},
      year = {2023},
      doi = {10.1109/TNNLS.2023.3322739},
    }

13. 

    Revisiting Multi-view Learning: A Perspective of Implicitly Heterogeneous Graph Convolutional Network

    Ying Zou, Zihan Fang, Zhihao Wu, Chenghui Zheng, and Shiping Wang

    Neural Networks 2023

    Bib

    @article{zou2023revisiting,
      author = {Zou, Ying and Fang, Zihan and Wu, Zhihao and Zheng, Chenghui and Wang, Shiping},
      doi = {10.1016/j.neunet.2023.09.006},
      journal = {Neural Networks},
      title = {Revisiting Multi-view Learning: A Perspective of Implicitly Heterogeneous Graph Convolutional Network},
      year = {2023},
    }

14. 

    GAF-Net: Graph attention fusion network for multi-view semi-supervised classification

    Na Song, Shide Du, Zhihao Wu, Luying Zhong, Laurence T Yang, Jing Yang, and Shiping Wang

    Expert Systems with Applications 2024

    Bib PDF

    @article{song2023gaf,
      author = {Song, Na and Du, Shide and Wu, Zhihao and Zhong, Luying and Yang, Laurence T and Yang, Jing and Wang, Shiping},
      journal = {Expert Systems with Applications},
      title = {GAF-Net: Graph attention fusion network for multi-view semi-supervised classification},
      year = {2024},
      volume = {238},
      pages = {122151},
      doi = {https://doi.org/10.1016/j.eswa.2023.122151},
    }

15. 

    Low-rank Tensor Learning with Projection Distance Metric for Multi-view Clustering

    Sujia Huang, Lele Fu, Shide Du, Zhihao Wu, Shiping Wang, and Athanasios V. Vasilakos

    International Journal of Machine Learning and Cybernetics 2024

    Bib

    @article{huang2024ltlpdm,
      author = {Huang, Sujia and Fu, Lele and Du, Shide and Wu, Zhihao and Wang, Shiping and Vasilakos, Athanasios V.},
      journal = {International Journal of Machine Learning and Cybernetics},
      title = {Low-rank Tensor Learning with Projection Distance Metric for Multi-view Clustering},
      year = {2024},
    }

16. 

    Multi-level Knowledge Integration with Graph Convolutional Network for Cancer Molecular Subtype Classification

    Sujia Huang, Shunxin Xiao, Wenzhe Liu, Jielong lu, Zhihao Wu, and Jagath Rajapakse

    In IEEE International Conference on Bioinformatics and Biomedicine 2023

    Bib

    @inproceedings{HuangMKGCN2023,
      author = {Huang, Sujia and Xiao, Shunxin and Liu, Wenzhe and lu, Jielong and Wu, Zhihao and Rajapakse, Jagath},
      title = {Multi-level Knowledge Integration with Graph Convolutional Network for Cancer Molecular Subtype Classification},
      booktitle = {IEEE International Conference on Bioinformatics and Biomedicine},
      year = {2023},
    }

Preprints

1. 

   ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks

   Zhaoliang Chen, Zhihao Wu, Ylli Sadikaj, Claudia Plant, Hong-Ning Dai, Shiping Wang, and Wenzhong Guo

   arXiv preprint arXiv:2403.09171 2024

   Bib

   @article{chen2024adedgedrop,
     title = {ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks},
     author = {Chen, Zhaoliang and Wu, Zhihao and Sadikaj, Ylli and Plant, Claudia and Dai, Hong-Ning and Wang, Shiping and Guo, Wenzhong},
     journal = {arXiv preprint arXiv:2403.09171},
     year = {2024}
   }

2. 

   Deep Dual Contrastive Learning for Multi-View Subspace Clustering

   Xincan Lin, Jie Lian, Zhihao Wu, Jielong Lu, and Shiping Wang

   Available at SSRN 4706044 2023

   Bib

   @article{lin4706044deep,
     title = {Deep Dual Contrastive Learning for Multi-View Subspace Clustering},
     author = {Lin, Xincan and Lian, Jie and Wu, Zhihao and Lu, Jielong and Wang, Shiping},
     year = {2023},
     journal = {Available at SSRN 4706044}
   }