Publications

2025

1. 

   Refine then Classify: Robust Graph Neural Networks with Reliable Neighborhood Contrastive Refinement

   Shuman Zhuang†, Zhihao Wu†, Zhaoliang Chen, Hong-Ning Dai, and Ximeng Liu

   In AAAI Conference on Artificial Intelligence 2025

   CCF Rank A
2. 

   Multi-scale structure-guided graph generation for multi-view semi-supervised classification

   Yilin Wu, Zhaoliang Chen, Ying Zou, Shiping Wang, and Wenzhong Guo

   Expert Systems with Applications 2025

   SCI Q1, CCF Rank C

   Bib PDF

   @article{WU2025125677,
     title = {Multi-scale structure-guided graph generation for multi-view semi-supervised classification},
     journal = {Expert Systems with Applications},
     volume = {263},
     pages = {125677},
     year = {2025},
     author = {Wu, Yilin and Chen, Zhaoliang and Zou, Ying and Wang, Shiping and Guo, Wenzhong},
   }

2024

1. 

   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

   SCI Q1, CCF Rank B, IF: 7.8

   Bib PDF 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},
     volume = {174},
     pages = {106225},
     year = {2024},
   }

2. 

   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 2024

   SCI Q1, CCF Rank B, IF: 14.255

   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 = {2024},
     volume = {35},
     number = {10},
     pages = {13764-13776},
     doi = {10.1109/TNNLS.2023.3271623},
   }

3. 

   Towards Multi-view Consistent Graph Diffusion

   Jielong Lu, Zhihao Wu, Zhaoliang Chen, Zhiling Cai, and Shiping Wang

   In ACM Multimedia 2024

   CCF Rank A, Oral (3.97%)

   Bib PDF

   @inproceedings{lu2024towards,
     title = {Towards Multi-view Consistent Graph Diffusion},
     author = {Lu, Jielong and Wu, Zhihao and Chen, Zhaoliang and Cai, Zhiling and Wang, Shiping},
     booktitle = {ACM Multimedia},
     year = {2024},
     url = {https://openreview.net/forum?id=2AnSGzLiGs},
   }

4. 

   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

   SCI Q1, CCF Rank B, IF: 7.3

   Bib PDF 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},
   }

5. 

   DeepMoIC: multi-omics data integration via deep graph convolutional networks for cancer subtype classification

   Jiecheng Wu, Zhaoliang Chen, Shunxin Xiao, Genggeng Liu, Wenjie Wu, and Shiping Wang

   BMC genomics 2024

   SCI Q2

   Bib PDF

   @article{wu2024deepmoic,
     title = {DeepMoIC: multi-omics data integration via deep graph convolutional networks for cancer subtype classification},
     author = {Wu, Jiecheng and Chen, Zhaoliang and Xiao, Shunxin and Liu, Genggeng and Wu, Wenjie and Wang, Shiping},
     journal = {BMC genomics},
     volume = {25},
     pages = {1209},
     year = {2024},
   }

6. 

   Graph Convolutional Network with Elastic Topology

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

   Pattern Recognition 2024

   SCI Q1, CCF Rank B, IF: 8

   Bib PDF 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},
   }

7. 

   Geometric Localized Graph Convolutional Network for Multi-view Semi-supervised Classification

   Aiping Huang, Jielong Lu, Zhihao Wu, Zhaoliang Chen, Yuhong Chen, Shiping Wang, and Hehong Zhang

   Information Sciences 2024

   SCI Q1, CCF Rank B

   Bib PDF

   @article{huang2024geometric,
     title = {Geometric Localized Graph Convolutional Network for Multi-view Semi-supervised Classification},
     author = {Huang, Aiping and Lu, Jielong and Wu, Zhihao and Chen, Zhaoliang and Chen, Yuhong and Wang, Shiping and Zhang, Hehong},
     journal = {Information Sciences},
     pages = {120769},
     year = {2024},
   }

8. 

   Adaptive Multi-channel Contrastive Graph Convolutional Network with Graph and Feature Fusion

   Luying Zhong, Jielong Lu, Zhaoliang Chen, Na Song, and Shiping Wang

   Information Sciences 2024

   SCI Q1, CCF Rank B, IF: 8.233

   Bib PDF

   @article{zhong2023adaptive,
     title = {Adaptive Multi-channel Contrastive Graph Convolutional Network with Graph and Feature Fusion},
     author = {Zhong, Luying and Lu, Jielong and Chen, Zhaoliang and Song, Na and Wang, Shiping},
     journal = {Information Sciences},
     pages = {120012},
     volume = {658},
     doi = {10.1016/j.ins.2023.120012},
     year = {2024},
   }

2023

1. 

   Dual Low-Rank Graph Autoencoder for Semantic and Topological Networks

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

   In Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence 2023

   CCF Rank A, Acceptance rate: 19.6%

   Bib PDF Code

   @inproceedings{ChenDLRGAE23,
     author = {Chen, Zhaoliang and Wu, Zhihao and Wang, Shiping and Guo, Wenzhong},
     booktitle = {Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence},
     volume = {37},
     number = {4},
     pages = {4191--4198},
     year = {2023},
     doi = {10.1609/aaai.v37i4.25536},
   }

2. 

   Learnable Graph Convolutional Network and Feature Fusion for Multi-view Learning

   Zhaoliang Chen, Lele Fu, Jie Yao, Wenzhong Guo, Claudia Plant, and Shiping Wang

   Information Fusion 2023

   SCI Q1, CCF Rank B, IF: 17.564

   Bib PDF Code

   @article{chen2023learnable,
     title = {Learnable Graph Convolutional Network and Feature Fusion for Multi-view Learning},
     author = {Chen, Zhaoliang and Fu, Lele and Yao, Jie and Guo, Wenzhong and Plant, Claudia and Wang, Shiping},
     journal = {Information Fusion},
     year = {2023},
     pages = {109-119},
     volume = {95},
   }

3. 

   Multi-view Graph Convolutional Networks with Differentiable Node Selection

   Zhaoliang Chen, Lele Fu, Shunxin Xiao, Shiping Wang, Claudia Plant, and Wenzhong Guo

   ACM Transactions on Knowledge Discovery from Data 2023

   SCI Q1, CCF Rank B

   Bib PDF

   @article{chen2022multi,
     title = {Multi-view Graph Convolutional Networks with Differentiable Node Selection},
     author = {Chen, Zhaoliang and Fu, Lele and Xiao, Shunxin and Wang, Shiping and Plant, Claudia and Guo, Wenzhong},
     journal = {ACM Transactions on Knowledge Discovery from Data},
     year = {2023},
   }

4. 

   Efficient and Differentiable Low-rank Matrix Completion with Back Propagation

   Zhaoliang Chen, Jie Yao, Guobao Xiao, and Shiping Wang

   IEEE Transactions on Multimedia 2023

   SCI Q1, CCF Rank B, IF: 8.182

   Bib PDF Code

   @article{chen2023efficient,
     title = {Efficient and Differentiable Low-rank Matrix Completion with Back Propagation},
     author = {Chen, Zhaoliang and Yao, Jie and Xiao, Guobao and Wang, Shiping},
     journal = {IEEE Transactions on Multimedia},
     year = {2023},
     volume = {25},
     pages = {228-242},
     doi = {10.1109/TMM.2021.3124087},
   }

5. 

   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

   SCI Q1, CCF Rank B, IF: 14.255

   Bib PDF

   @article{zhong2023Learnable,
     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},
     pages = {1-14},
     doi = {10.1109/TNNLS.2023.3322739},
   }

6. 

   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

   SCI Q1, CCF Rank B, IF: 7.8

   Bib PDF Code

   @article{CHEN2023,
     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},
   }

7. 

   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

   SCI Q1, CCF Rank B, IF: 8.182

   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},
   }

8. 

   Contrastive Graph Convolutional Networks with Generative Adjacency Matrix

   Luying Zhong, Jinbin Yang, Zhaoliang Chen, and Shiping Wang

   IEEE Transactions on Signal Processing 2023

   SCI Q1, CCF Rank B, IF: 4.875

   Bib PDF

   @article{Contrastive2023zhong,
     author = {Zhong, Luying and Yang, Jinbin and Chen, Zhaoliang and Wang, Shiping},
     journal = {IEEE Transactions on Signal Processing},
     title = {Contrastive Graph Convolutional Networks with Generative Adjacency Matrix},
     year = {2023},
     volume = {71},
     pages = {772-785},
     doi = {10.1109/TSP.2023.3254888},
   }

9. 

   Dual Fusion-Propagation Graph Neural Network for Multi-View Clustering

   Shunxin Xiao, Shide Du, Zhaoliang Chen, Yunhe Zhang, and Shiping Wang

   IEEE Transactions on Multimedia 2023

   SCI Q1, CCF Rank B, IF: 8.182

   Bib PDF Code

   @article{DFPGNN23XIAO,
     author = {Xiao, Shunxin and Du, Shide and Chen, Zhaoliang and Zhang, Yunhe and Wang, Shiping},
     journal = {IEEE Transactions on Multimedia},
     title = {Dual Fusion-Propagation Graph Neural Network for Multi-View Clustering},
     year = {2023},
     pages = {1-13},
     doi = {10.1109/TMM.2023.3248173},
   }

2022

1. 

   Learning Deep Sparse Regularizers With Applications to Multi-View Clustering and Semi-Supervised Classification

   Shiping Wang, Zhaoliang Chen, Shide Du, and Zhouchen Lin

   IEEE Transactions on Pattern Analysis and Machine Intelligence 2022

   SCI Q1, CCF Rank A, IF: 24.314

   Bib PDF Code

   @article{DBLP:journals/pami/WangCDL22,
     author = {Wang, Shiping and Chen, Zhaoliang and Du, Shide and Lin, Zhouchen},
     title = {Learning Deep Sparse Regularizers With Applications to Multi-View
                    Clustering and Semi-Supervised Classification},
     journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
     volume = {44},
     number = {9},
     pages = {5042--5055},
     year = {2022},
     doi = {10.1109/TPAMI.2021.3082632},
   }

2. 

   A review on matrix completion for recommender systems

   Zhaoliang Chen, and Shiping Wang

   Knowledge and Information Systems 2022

   SCI Q3, CCF Rank B, IF: 2.531

   Bib PDF

   @article{DBLP:journals/kais/ChenW22,
     author = {Chen, Zhaoliang and Wang, Shiping},
     title = {A review on matrix completion for recommender systems},
     journal = {Knowledge and Information Systems},
     volume = {64},
     number = {1},
     pages = {1--34},
     year = {2022},
     doi = {10.1007/s10115-021-01629-6},
   }

3. 

   Unified Low-Rank Tensor Learning and Spectral Embedding for Multi-View Subspace Clustering

   Lele Fu, Zhaoliang Chen, Yongyong Chen, and Shiping Wang

   IEEE Transactions on Multimedia 2022

   SCI Q1, CCF Rank B, IF: 8.182

   Bib PDF

   @article{fu2022unified,
     title = {Unified Low-Rank Tensor Learning and Spectral Embedding for Multi-View Subspace Clustering},
     author = {Fu, Lele and Chen, Zhaoliang and Chen, Yongyong and Wang, Shiping},
     journal = {IEEE Transactions on Multimedia},
     year = {2022},
     publisher = {IEEE},
     doi = {10.1109/TMM.2022.3185886},
   }

4. 

   Diversity embedding deep matrix factorization for multi-view clustering

   Zexi Chen, Pengfei Lin, Zhaoliang Chen, Dongyi Ye, and Shiping Wang

   Information Sciences 2022

   SCI Q1, CCF Rank B, IF: 8.233

   Bib PDF

   @article{DBLP:journals/isci/ChenLCYW22,
     author = {Chen, Zexi and Lin, Pengfei and Chen, Zhaoliang and Ye, Dongyi and Wang, Shiping},
     title = {Diversity embedding deep matrix factorization for multi-view clustering},
     journal = {Information Sciences},
     volume = {610},
     pages = {114--125},
     year = {2022},
     doi = {10.1016/j.ins.2022.07.177},
   }

2021

1. 

   Kernel meets recommender systems: A multi-kernel interpolation for matrix completion

   Zhaoliang Chen, Wei Zhao, and Shiping Wang

   Expert Systems with Applications 2021

   SCI Q1, CCF Rank B, IF: 8.665

   Bib PDF

   @article{DBLP:journals/eswa/ChenZW21,
     author = {Chen, Zhaoliang and Zhao, Wei and Wang, Shiping},
     title = {Kernel meets recommender systems: {A} multi-kernel interpolation for
                    matrix completion},
     journal = {Expert Systems with Applications},
     volume = {168},
     pages = {114436},
     year = {2021},
     doi = {10.1016/j.eswa.2020.114436},
   }

2. 

   Multi-View Learning Via Low-Rank Tensor Optimization

   Lele Fu, Zhaoliang Chen, Sujia Huang, Sheng Huang, and Shiping Wang

   In 2021 IEEE International Conference on Multimedia and Expo 2021

   CCF Rank B, Acceptance rate: 30%

   Bib PDF

   @inproceedings{DBLP:conf/icmcs/FuCHHW21,
     author = {Fu, Lele and Chen, Zhaoliang and Huang, Sujia and Huang, Sheng and Wang, Shiping},
     title = {Multi-View Learning Via Low-Rank Tensor Optimization},
     booktitle = {2021 {IEEE} International Conference on Multimedia and Expo},
     pages = {1--6},
     year = {2021},
     doi = {10.1109/ICME51207.2021.9428291},
   }

3. 

   Deep random walk of unitary invariance for large-scale data representation

   Shiping Wang, Zhaoliang Chen, William Zhu, and Fei-Yue Wang

   Information Sciences 2021

   SCI Q1, CCF Rank B, IF: 8.233

   Bib PDF

   @article{DBLP:journals/isci/WangCZW21,
     author = {Wang, Shiping and Chen, Zhaoliang and Zhu, William and Wang, Fei{-}Yue},
     title = {Deep random walk of unitary invariance for large-scale data representation},
     journal = {Information Sciences},
     volume = {554},
     pages = {1--14},
     year = {2021},
     doi = {10.1016/j.ins.2020.11.039},
   }

4. 

   Differentiable Bi-Sparse Multi-View Co-Clustering

   Shide Du, Zhanghui Liu, Zhaoliang Chen, Wenyuan Yang, and Shiping Wang

   IEEE Transactions on Signal Processing 2021

   SCI Q1, CCF Rank B, IF: 4.875

   Bib PDF

   @article{DBLP:journals/tsp/DuLCYW21,
     author = {Du, Shide and Liu, Zhanghui and Chen, Zhaoliang and Yang, Wenyuan and Wang, Shiping},
     title = {Differentiable Bi-Sparse Multi-View Co-Clustering},
     journal = {{IEEE} Transactions on Signal Processing},
     volume = {69},
     pages = {4623--4636},
     year = {2021},
     doi = {10.1109/TSP.2021.3101979},
   }

5. 

   A Unified Modular Framework with Deep Graph Convolutional Networks forMulti-label Image Recognition

   Qifan Lin, Zhaoliang Chen, Shiping Wang, and Wenzhong Guo

   In Pattern Recognition and Computer Vision 2021

   CCF Rank C

   Bib

   @inproceedings{DBLP:conf/prcv/LinCWG21,
     author = {Lin, Qifan and Chen, Zhaoliang and Wang, Shiping and Guo, Wenzhong},
     title = {A Unified Modular Framework with Deep Graph Convolutional Networks
                    forMulti-label Image Recognition},
     booktitle = {Pattern Recognition and Computer Vision},
     volume = {13020},
     pages = {54--65},
     year = {2021},
     doi = {10.1007/978-3-030-88007-1\_5},
   }

Preprints

1. Arxiv

   ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks

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

   arXiv preprint arXiv:2403.09171 2024

   arXiv Bib

   @article{chen2024adedgedropadversarialedgedropping,
     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 Cheung, Yiu-Ming and Guo, Wenzhong},
     year = {2024},
     journal = {arXiv preprint arXiv:2403.09171},
   }