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, KDD, AAAI, IJCAI, ACM MM, IEEE TKDE, IEEE TIP, IEEE TNNLS, IEEE TMM, and Pattern Recognition, etc.
📰 News
- 2025.06: One paper have been accepted by IEEE TKDE, congrats to Zhaoliang Chen and other collaborators!✨✨
- 2025.05: One paper have been accepted by KDD’25, congrats to Zhaoliang Chen and other collaborators!✨✨
- 2025.05: I will be pursuing my PhD in Computer Science at Zhejiang University, beginning Fall 2025!✨✨
- 2025.04: Two paper have been accepted by IJCAI’25, many thanks to all my collaborators!✨✨
- 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！✨✨
More
- 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!✨✨
- 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 co-first author; * indicates corresponding author. Full List
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]
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
IEEE Transactions on Knowledge and Data Engineering, 2025
[BibTex]
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
[BibTex] [Code]
Kernel Readout for Graph Neural Networks
Jiajun Yu†, Zhihao Wu†, Jia Adele Lu, Jicong Fan
International Joint Conference on Artificial Intelligence 2024
[BibTex] [Code]
Graph Convolutional Network with Elastic Topology
Zhihao Wu, Zhaoliang Chen, Shide Du, Sujia Huang, Shiping Wang
Pattern Recognition, 2024
[BibTex] [Code]
Graph Convolutional Kernel versus Graph Convolutional Networks
Zhihao Wu, Zhao Zhang, Jicong Fan
Advances in Neural Information Processing Systems 2023
[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, 2023
[BibTex] [Code]
MSHTrans: Multi-Scale Hypergraph Transformer with Time-Series Decomposition for Temporal Anomaly Detection
Zhaoliang Chen, Zhihao Wu, William K. Cheung, Hong-Ning Dai, Byron Choi, Jiming Liu
ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2025
[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, 2023
[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
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
- ACL 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