Zhao-Liang CHEN

chenzl23[AT]outlook[DOT]com

I am currently a Ph.D. student in College of Computer and Data Science, Fuzhou University, also a member of Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing. I am supervised by Prof. Wenzhong Guo and Prof. Shiping Wang. Before that, I majored in software engineering and obtained my B.S. degree from the College of Mathematics and Computer Science, Fuzhou University, in 2019. From Oct 2022 to Oct 2023, I was also a visiting scholar in Faculty of Computer Science, University of Vienna, Austria, supervised by Prof. Claudia Plant. My research interests include graph neural networks, optimization-inspired deep learning and their applications. My studies have led to over 20 scientific publications on top-tier conferences and journals, including AAAI, IEEE TPAMI, IEEE TNNLS, IEEE TMM, IEEE TSP, ACM TKDD, Information Fusion, Neural Networks, etc.

Curriculum Vitae (English) (updated at 17.02.2024).

I am actively seeking a postdoctoral position starting from August/September 2024, with a primary focus on Graph and its various applications!

My research interests: Graph neural networks, Multimodal learning, Optimization-inspired deep learning, Semi-supervised learning, Low-rank optimization.

News

Mar 3, 2024	One paper has been accepted by Neural Networks (SCI Q1)!
Feb 28, 2024	One paper has been accepted by IEEE Transactions on Multimedia (SCI Q1)! Congrats to JieLong Lu!
Feb 21, 2024	One paper has been accepted by Pattern Recognition (SCI Q1)! Congrats to Zhihao Wu!
Dec 16, 2023	One paper has been accepted by Information Sciences (SCI Q1)! Congrats to Luying Zhong!
Sep 29, 2023	One paper has been accepted by IEEE Transactions on Neural Networks and Learning Systems (SCI Q1, CCF-B)!
Sep 3, 2023	One paper has been accepted by Neural Networks (SCI Q1, CCF B)!
Jul 6, 2023	One paper has been accepted by ACM Transactions on Knowledge Discovery from Data (TKDD, SCI Q1, CCF B)!
Apr 22, 2023	One paper has been accepted by IEEE Transactions on Neural Networks and Learning Systems (IF = 14.255)!
Mar 6, 2023	One paper has been accepted by IEEE Transactions on Multimedia (IF = 8.182)!
Feb 24, 2023	One paper has been accepted by IEEE Transactions on Signal Processing (IF = 4.875)!

Education

2021 - now
Ph.D.

College of Computer and Data Science, Fuzhou University, China
- Master-doctor combined program without a master degree
- Supervised by Prof. Wenzhong Guo and Prof. Shiping Wang
2022 - 2023
Visiting Scholar

Faculty of Computer Science, University of Vienna, Austria.
- Funded by China Scholarship Council (CSC)
- Supervised by Prof. Claudia Plant
2015 - 2019
B.E.

College of Mathematics and Computer Science, Fuzhou University, China
- Supervised by Prof. Fei Chen

Honors and Awards

2022
- National Scholarship for Postgraduates
2019 - 2021
- The Grand Prize Scholarship for Postgraduates of Fuzhou University
2017 - 2019
- The First Prize Scholarship for Undergraduate Students of Fuzhou University

Academic Service

Reviewer:
- IEEE Transactions on Image Processing (IEEE TIP)
- IEEE Transactions on Intelligent Transportation Systems (IEEE TITS)
- IEEE Transactions on Systems, Man, and Cybernetics Systems (IEEE TSMC)
- IEEE Transactions on Signal Processing (IEEE TSP)
- IEEE Signal Processing Letters
- Information Sciences
- Artificial Intelligence Review
- Knowledge and Information Systems (KAIS)
- The Journal of Supercomputing
PC member:
- ACM MM 2024
- ECCV 2024

Publications

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},
}

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

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 = {2023},
  pages = {1-13},
  doi = {10.1109/TNNLS.2023.3271623},
}

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},
}

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},
}

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 Q2, CCF Rank B, IF: 4.157

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},
}

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},
}

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},
}

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},
}

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},
}

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},
}

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},
}

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},
}

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},
}

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},
}

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},
}

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},
}

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},
}

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},
}

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},
}

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},
}

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},
}

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},
}

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},
}

News

Education

Ph.D.

College of Computer and Data Science, Fuzhou University, China

Visiting Scholar

Faculty of Computer Science, University of Vienna, Austria.

B.E.

College of Mathematics and Computer Science, Fuzhou University, China

Honors and Awards

Academic Service

Reviewer:

PC member:

Publications