I am currently a Postdoc at the Department of Computer Science, Hong Kong Baptist University, working with Prof. Hong-Ning Dai, Prof. Byron Choi and Prof. William Kwok-Wai Cheung. I received my Ph.D. degree from the College of Computer and Data Science, Fuzhou University, in 2024, supervised by Prof. Wenzhong Guo and Prof. Shiping Wang. Before that, I majored in software engineering and obtained my B.E. degree from the College of Mathematics and Computer Science, Fuzhou University, in 2019. From Oct 2022 to Oct 2023, I was also a joint Ph.D. student 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 (e.g., time series anomaly detection, intelligent power systems, social networks). My studies have led to over 30 scientific publications on top-tier conferences and journals, including AAAI, ACM MM, IEEE TPAMI, IEEE TNNLS, IEEE TMM, IEEE TSP, ACM TKDD, Information Fusion, Neural Networks, etc.

🔥 News

• 2024.12:  🎉🎉 One paper has been accepted by AAAI 2025 (CCF-A)! Congrats to Shuman Zhuang!
• 2024.09:  🎉🎉 I have joined Hong Kong Baptist University and started my postdoctoral research work!
• 2024.07:  🎉🎉 One paper has been accepted by ACM MM 2024 (CCF-A)! Congrats to Jielong Lu!
• 2024.06:  🎉🎉 I have graduated from Fuzhou University as an outstanding doctoral graduate！
• 2024.05:  🎉🎉 I have successfully passed my doctoral thesis defense!

📖 Work Experience

• 2024.09 - Now, Postdoc, Department of Computer Science, Hong Kong Baptist University, Hong Kong SAR, China.

📖 Educations

• 2019.09 - 2024.06, Ph.D., College of Computer and Data Science, Fuzhou University, China.
• 2022.10 - 2023.10, Joint Ph.D. Student funded by CSC, Faculty of Computer Science, University of Vienna, Austria.
• 2015.09 - 2019.06, B.E., College of Mathematics and Computer Science, Fuzhou University, China

📖 Academic Service

• Reviewers
  • IEEE Transactions on Image Processing (IEEE TIP)
  • IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS)
  • IEEE Transactions on Multimedia (IEEE TMM)
  • 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
  • Pattern Recognition
  • Neural Networks
  • Neural Processing Letters
  • Artificial Intelligence Review
  • Knowledge and Information Systems (KAIS)
  • The Journal of Supercomputing
  • ACM Transactions on Information Systems (TOIS)
• PC Members
  • KDD 2025
  • ICML 2025
  • CVPR 2025
  • IJCAI 2025
  • ACM MM 2024
  • ECCV 2024
  • NeurIPS 2024

📝 Publications

💡 Graph Neural Networks

IEEE TNNLS

AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing,
Zhaoliang Chen, Zhihao Wu, Zhenghong Lin, Shiping Wang, Claudia Plant, Wenzhong Guo
IEEE Transactions on Neural Networks and Learning Systems, Volume 35(10), Pages 13764-13776, 2024. (CCF B, SCI Q1) | [code]

AAAI 2023

Dual Low-Rank Graph Autoencoder for Semantic and Topological Networks,
Zhaoliang Chen, Zhihao Wu, Shiping Wang, Wenzhong Guo
AAAI Conference on Artificial Intelligence, Volume 37(4), Pages 4191-4198, 2023. (CCF A) | [code]

NN

Attributed Multi-order Graph Convolutional Network for Heterogeneous Graphs,
Zhaoliang Chen, Zhihao Wu, Luying Zhong, Claudia Plant, Shiping Wang, Wenzhong Guo
Neural Networks, Volume 174, Page 106225, 2024. (CCF B, SCI Q1) | [code]

AAAI 2025

Refine then Classify: Robust Graph Neural Networks with Reliable Neighborhood Contrastive Refinement,
Shuman Zhuang, Zhihao Wu, Zhaoliang Chen, Hong-Ning Dai, Ximeng Liu
AAAI Conference on Artificial Intelligence, 2025. (CCF A)

IEEE TNNLS

Learnable Graph Convolutional Network With Semisupervised Graph Information Bottleneck,
Luying Zhong, Zhaoliang Chen, Zhihao Wu, Shide Du, Zheyi Chen, Shiping Wang
IEEE Transactions on Neural Networks and Learning Systems, Volume 36(1), Page 433-446, 2025. (CCF B, SCI Q1)

ACM MM 2024

Towards Multi-view Consistent Graph Diffusion,
Jielong Lu, Zhihao Wu, Zhaoliang Chen, Zhiling Cai, Shiping Wang
ACM Multimedia, 2024. (CCF A, Oral 3.97%)

[Preprint] 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, Wenzhong Guo
submitted to IEEE Transactions on Knowledge and Data Engineering. (Major Revision)

[NN] Heterogeneous graph neural network with adaptive relation reconstruction,
Weihong Lin, Zhaoliang Chen, Yuhong Chen, Shiping Wang
Neural Networks, 2025. (CCF B, SCI Q1)

[PR] Graph Convolutional Network with Elastic Topology,
Zhihao Wu, Zhaoliang Chen, Shide Du, Sujia Huang, Shiping Wang
Pattern Recognition, Volume 150, Page 110567, 2024. (CCF B, SCI Q1) | [code]

[INS] Adaptive Multi-channel Contrastive Graph Convolutional Network with Graph and Feature Fusion,
Luying Zhong, Jielong Lu, Zhaoliang Chen, Na Song, Shiping Wang
Information Sciences, Volume 658, Page 120012, 2024. (CCF B, SCI Q1)

[IEEE TSP] Contrastive Graph Convolutional Networks with Generative Adjacency Matrix,
Luying Zhong, Jinbin Yang, Zhaoliang Chen, Shiping Wang
IEEE Transactions on Signal Processing, Volume 71, Pages 772-785, 2023. (CCF B, SCI Q1)

💡 Multi-view Learning

INF

Learnable Graph Convolutional Network and Feature Fusion for Multi-view Learning,
Zhaoliang Chen, Lele Fu, Jie Yao, Wenzhong Guo, Claudia Plant, Shiping Wang
Information Fusion, Volume 95, Pages 109-119, 2023. (SCI Q1, ESI Highly Cited) | [code]

IEEE TPAMI

Learning Deep Sparse Regularizers With Applications to Multi-View Clustering,
Shiping Wang, Zhaoliang Chen, Shide Du, Zhouchen Lin
IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 44(12), Pages 9124-9138, 2022. (CCF A, SCI Q1) | [code]

TKDD

Multi-view Graph Convolutional Networks with Differentiable Node Selection,
Zhaoliang Chen, Lele Fu, Shunxin Xiao, Shiping Wang, Claudia Plant, Wenzhong Guo
ACM Transactions on Knowledge Discovery from Data, Volume 18(1), Pages 1-21, 2023. (CCF B, SCI Q1)

[IEEE TMM] Generative Essential Graph Convolutional Network for Multi-view Semi-supervised Classification,
Jielong Lu, Zhihao Wu, Luying Zhong, Zhaoliang Chen, Hong Zhao, Shiping Wang
IEEE Transactions on Multimedia, Volume 26, Pages 7987-7999, 2024. (CCF B, SCI Q1) | [code]

[BMC Genomics] DeepMoIC: multi-omics data integration via deep graph convolutional networks for cancer subtype classification,
Jiecheng Wu, Zhaoliang Chen, Shunxin Xiao, Genggeng Liu, Wenjie Wu, Shiping Wang
BMC Genomics, Volume 25, 2024. (SCI Q2)

[ESWA] Multi-scale structure-guided graph generation for multi-view semi-supervised classification,
Yilin Wu, Zhaoliang Chen, Ying Zou, Shiping Wang, Wenzhong Guo
Expert Systems with Applications, Volume 237, Page 125677, 2025. (CCF C, SCI Q1)

[INS] Geometric Localized Graph Convolutional Network for Multi-view Semi-supervised Classification,
Aiping Huang, Jielong Lu, Zhihao Wu, Zhaoliang Chen, Yuhong Chen, Shiping Wang, Hehong Zhang
Information Sciences, Page 120769, 2024. (CCF B, SCI Q1)

[NN] Joint learning of feature and topology for multi-view graph convolutional network,
Yuhong Chen, Zhihao Wu, Zhaoliang Chen, Mianxiong Dong, Shiping Wang
Neural Networks, Volume 168, Pages 161-170, 2023. (CCF B, SCI Q1) | [code]

[IEEE TMM] Interpretable Graph Convolutional Network for Multi-View Semi-Supervised Learning,
Zhihao Wu, Xincan Lin, Zhenghong Lin, Zhaoliang Chen, Yang Bai, Shiping Wang
IEEE Transactions on Multimedia, Volume 25, Pages 8593-8606, 2023. (CCF B, SCI Q1) | [code]

[IEEE TMM] Dual Fusion-Propagation Graph Neural Network for Multi-View Clustering,
Shunxin Xiao, Shide Du, Zhaoliang Chen, Yunhe Zhang, Shiping Wang
IEEE Transactions on Multimedia, Volume 25, Pages 9203-9215, 2023. (CCF B, SCI Q1) | [code]

[IEEE TMM] Unified Low-Rank Tensor Learning and Spectral Embedding for Multi-View Subspace Clustering,
Lele Fu, Zhaoliang Chen, Yongyong Chen, Shiping Wang
IEEE Transactions on Multimedia, Volume 25, Pages 4972-4985, 2022. (CCF B, SCI Q1)

[INS] Diversity embedding deep matrix factorization for multi-view clustering,
Zexi Chen, Pengfei Lin, Zhaoliang Chen, Dongyi Ye, Shiping Wang
Information Sciences, Volume 610, Pages 114-125, 2022. (CCF B, SCI Q1)

[ICME 2021] Multi-View Learning Via Low-Rank Tensor Optimization,
Lele Fu, Zhaoliang Chen, Sujia Huang, Sheng Huang, Shiping Wang
IEEE International Conference on Multimedia and Expo, Pages 1-6, 2021. (CCF B)

[IEEE TSP] Differentiable bi-Sparse multi-view co-clustering,
Shide Du, Zhanghui Liu, Zhaoliang Chen, Wenyuan Yang, Shiping Wang
IEEE Transactions on Signal Processing, Volume 69, Pages 4623-4636, 2021. (CCF B, SCI Q1)

💡 Recommender Systems and Matrix Completion

IEEE TMM

Efficient and Differentiable Low-rank Matrix Completion with Back Propagation,
Zhaoliang Chen, Jie Yao, Guobao Xiao, Shiping Wang
IEEE Transactions on Multimedia, Volume 25, Pages 5123-5135, 2023. (CCF B, SCI Q1) | [code]

ESWA

Kernel meets recommender systems: A multi-kernel interpolation for matrix completion,
Zhaoliang Chen, Wei Zhao, Shiping Wang
Expert Systems with Applications, Volume 168, Page 114436, 2021. (CCF C, SCI Q1)

KAIS

A review on matrix completion for recommender systems,
Zhaoliang Chen, Shiping Wang
Knowledge and Information Systems, Volume 64(3), Volume 64, Pages 1–34, 2022. (CCF B, SCI Q3)

💡 Others

[INS] Deep random walk of unitary invariance for large-scale data representation,
Shiping Wang, Zhaoliang Chen, William Zhu, Fei-Yue Wang
Information Sciences, Volume 554, Pages 1-14, 2021. (CCF B, SCI Q1)

[PRCV 2021] A unified modular framework with deep graph convolutional networks for multi-label image recognition,
Qifan Lin, Zhaoliang Chen, Shiping Wang, Wenzhong Guo
Pattern Recognition and Computer Vision, Volume 13020, Pages 54-65, 2021. (CCF C)

📎 Links

• FZUThesis: Latex Template for FZU Thesis.
• CCF Recommendation List
• CCF Recommendation Conference Deadlines
• Fabulous: an integrated management system for papers and literature, developed by Aleversn.
• Matrix Calculus
• Latex Table Convert
• Latex Table Generator
• Excel2latex: a package for transforming excel tables into latex codes.