I am an incoming PhD student with the College of Computer Science, Zhejiang University. I received a master’s degree from the College of Computer and Data Science, Fuzhou University, under the guidance of Prof. Shiping Wang and Dr. Zhaoliang Chen. During my master’s studies, I had the privilege to collaborate closely with Prof. Hong-Ning Dai from the Department of Computer Science, Hong Kong Baptist University. I was also a visiting student at the School of Data Science, The Chinese University of Hong Kong, Shenzhen, fortunately to be advised by Prof. Jicong Fan. Prior to this, I completed my B.E. in Computer Science at the College of Mathematics and Computer Science, Fuzhou University, in 2021. My research interests lie in graph-based machine learning and graph neural networks. I have published over 20 papers in prestigious conferences and journals, including NeurIPS, AAAI, IJCAI, ACM MM, IEEE Transactions on Image Processing (IEEE TIP), IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), IEEE Transactions on Multimedia (IEEE TMM), Pattern Recognition, and Neural Networks, etc.
📰 News
- 2025.04: Two paper have been accepted by IJCAI’25, many thanks to all my collaborators!✨✨
- 2025.04: I will be pursuing my PhD in Computer Science at Zhejiang University, beginning Fall 2025!✨✨
- 2024.12: Two papers have been accepted by AAAI’25, congrats to Yunhe Zhang, Shuman Zhuang and other collaborators!✨✨
- 2024.11: One paper has been accepted by Neural Networks, congrats to Yuhong Chen and other collaborators!✨✨
- 2024.09: One paper has been accepted by IEEE TNSE, congrats to Jie Lian and other collaborators!✨✨
- 2024.07: One paper has been accepted by Neural Networks, congrats to Sujia Huang and other collaborators!✨✨
- 2024.07: Two paper have been accepted by ACM MM’24, congrats to Jielong Lu, Shuman Zhuang and other collaborators!✨✨
- 2024.06: I have graduated from Fuzhou University, honored with the Outstanding Graduate Award！✨✨
- 2024.06: One paper has been accepted by IEEE TSIPN, congrats to Sujia Huang and other collaborators!✨✨
- 2024.04: One paper has been accepted by IJCAI’24, many thanks to my coauthors Jiajun Yu, Jinyu Cai, and Jicong Fan!✨✨
- 2024.03: One paper has been accepted by Neural Networks, congrats to Zhaoliang Chen and other collaborators!✨✨
More
- 2024.02: One paper has been accepted by IEEE TMM, congrats to Jielong Lu and other collaborators!✨✨
- 2024.02: One paper has been accepted by Pattern Recognition, many thanks to all my collaborators!✨✨
- 2023.10: One paper has been accepted by IEEE BIBM’23, congrats to Sujia Huang and other collaborators!✨✨
- 2023.09: One paper has been accepted by IEEE TNNLS, congrats to Luying Zhong and other collaborators!✨✨
- 2023.09: One paper has been accepted by NeurIPS’23, many thanks to my advisor Prof. Jicong Fan!✨✨
- 2023.09: One paper has been accepted by Neural Networks, congrats to Yuhong Chen and other collaborators!✨✨
- 2023.04: One paper has been accepted by IEEE TNNLS, congrats to Zhaoliang Chen and other collaborators!✨✨
- 2023.01: One paper has been accepted by IEEE TMM, many thanks to all my collaborators!✨✨
📖 Experience
- 2024.11 - Present: Research Assistant, College of Computer Science and Technology, Zhejiang University, China.
- 2021.09 - 2024.06: M.E. in Artificial Intelligence, College of Computer and Data Science, Fuzhou University, China.
- 2023.02 - 2023.09: Visiting Student, School of Data Science, The Chinese University of Hong Kong, Shenzhen, China.
- 2017.09 - 2021.06: B.E. in Computer Science, College of Mathematics and Computer Science, Fuzhou University, China
📝 Selected Publications
† indicates equal contribution; \* indicates corresponding author. Full list can be found on Google Scholar.
Divide and Conquer: Coordinating Multiplex Mixture of Graph Learners to Handle Multi-Omics Analysis
Zhihao Wu, Jielong Lu, Jiajun Yu, Sheng Zhou, Yueyang Pi, Haishuai Wang
International Joint Conference on Artificial Intelligence 2025
[BibTex]
Graph Convolutional Kernel versus Graph Convolutional Networks
Zhihao Wu, Zhao Zhang, Jicong Fan
Advances in Neural Information Processing Systems
[BibTex] [Code]
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
[BibTex] [Code]
Graph Convolutional Network with Elastic Topology
Zhihao Wu, Zhaoliang Chen, Shide Du, Sujia Huang, Shiping Wang
Pattern Recognition
[BibTex] [Code]
A Centrality-based Graph Learning Framework
Jiajun Yu, Zhihao Wu^†, Jielong Lu, Tianyue Wang, Haishuai Wang
International Joint Conference on Artificial Intelligence 2025
[BibTex]
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
Kernel Readout for Graph Neural Networks
Jiajun Yu, Zhihao Wu^†, Jia Adele Lu, Jicong Fan
International Joint Conference on Artificial Intelligence 2024
[BibTex] [Code]
Dual Low-Rank Graph Autoencoder for Semantic and Topological Networks
Zhaoliang Chen, Zhihao Wu, Shiping Wang, Wenzhong Guo
AAAI Conference on Artificial Intelligence 2023
[BibTex] [Code]
Beyond Graph Convolutional Network: An Interpretable Regularizer-Centered Optimization Framework
Shiping Wang, Zhihao Wu, Yuhong Chen, Yong Chen
AAAI Conference on Artificial Intelligence 2023
[BibTex] [Code]
Towards Multi-view Consistent Graph Diffusion
Jielong Lu, Zhihao Wu, Zhaoliang Chen, Zhiling Cai, Shiping Wang
ACM International Conference on Multimedia 2024
[BibTex] [Code]
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
[BibTex] [Code]
Mixture of Experts as Representation Learner for Deep Multi-view Clustering
Yunhe Zhang, Jinyu Cai, Zhihao Wu, Pengyang Wang, See-Kiong Ng
AAAI Conference on Artificial Intelligence 2025
UMCGL: Universal Multi-view Consensus Graph Learning with Consistency and Diversity
Shide Du, Zhiling Cai, Zhihao Wu, Yueyang Pi, Shiping Wang
IEEE Transactions on Image Process
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
[BibTex]
Enhancing Multi-view Graph Neural Network with Cross-view Confluent Message Passing
Shuman Zhuang, Sujia Huang, Wei Huang, Yuhong Chen, Zhihao Wu, Ximeng Liu
ACM International Conference on Multimedia 2024
[BibTex] [Code]
📖 Academic Service
- Journal Reviewer
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- IEEE Transactions on Image Processing
- IEEE Transactions on Neural Networks and Learning Systems
- IEEE/CAA Journal of Automatica Sinica
- IEEE Transactions on Network Science and Engineering
- IEEE Signal Processing Letters
- ACM Transactions on Knowledge Discovery from Data
- Machine Learning
- Pattern Recognition
- Neural Networks
- Knowledge-Based Systems
- Information Sciences
- Engineering Applications of Artificial Intelligence
- Neural Processing Letters
- Conference PC Member
- ICLR 2025
- ICML 2025
- NeurIPS 2024, 2025
- CVPR 2025
- IJCAI 2025
- KDD 2025
- ICCV 2025
- ECCV 2024
- ACM MM 2024, 2025
- WWW 2025
- AISTATS 2025
⭐ Honors and Awards
- 2024 Outstanding Graduate Award of Fuzhou University
- 2023 China National Scholarship of Postgraduates
- 2023 First-Class Graduate Scholarship of Fuzhou University
- 2022 First Prize of the 12th Cross-strait Information Service Innovation Contest
- 2021 First-Class Graduate Scholarship of Fuzhou University
- 2019 Gold Award of the 5th China International College Students ‘Internet+’ Innovation and Entrepreneurship Competition