Zhihao WU

吴之昊, Master Student, College of Computer and Data Science, Fuzhou University

ZhihaoWu.jpg

zhihaowu1999[AT]gmail[DOT]com

I am currently pursuing a master’s degree at the College of Computer and Data Science, Fuzhou University, under the guidance of Prof. Shiping Wang and my mentor Dr. Zhaoliang Chen. During my master’s studies, I also served as a visiting student and research assistant at the School of Data Science, The Chinese University of Hong Kong, Shenzhen, where I was advised by Prof. Jicong Fan. Prior to this, I completed my B.Sc. in Computer Science at the College of Computer and Data 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.

Google Scholar  |  Github  |  DBLP

My research interests: Graph-based Machine Learning, Graph Neural Networks.

News

Jul 22, 2024 One paper has been accepted by Neural Networks, congrats to Sujia Huang and other collaborators! :sparkles:
Jul 16, 2024 Two paper have been accepted by ACM MM’24, congrats to Jielong Lu, Shuman Zhuang and other collaborators! :sparkles:
Jun 11, 2024 One paper has been accepted by IEEE TSIPN, congrats to Sujia Huang and other collaborators! :sparkles:
Jun 7, 2024 One paper has been accepted by Neural Networks, congrats to Sujia Huang and other collaborators! :sparkles:
Jun 4, 2024 One paper has been accepted by Information Sciences, congrats to Jielong Lu and other collaborators! :sparkles:
May 1, 2024 One paper has been accepted by IEEE TIP, congrats to Shide Du and other collaborators! :sparkles:
Apr 17, 2024 One paper has been accepted by IJCAI’24, many thanks to my coauthors Jiajun Yu, Jinyu Cai, and Jicong Fan!:sparkles:
Mar 27, 2024 One paper has been accepted by IJMLC, congrats to Sujia Huang and other collaborators! :sparkles:
Mar 4, 2024 One paper has been accepted by Neural Networks, congrats to Zhaoliang Chen and other collaborators! :sparkles:
Feb 27, 2024 One paper has been accepted by IEEE TMM, congrats to Jielong Lu and other collaborators! :sparkles:
Feb 21, 2024 One paper has been accepted by Pattern Recognition, many thanks to all my collaborators! :sparkles:
Oct 31, 2023 One paper has been accepted by Neural Networks, congrats to Ying Zou and other collaborators! :sparkles:
Oct 13, 2023 One paper has been accepted by IEEE BIBM’23, congrats to Sujia Huang and other collaborators! :sparkles:
Oct 5, 2023 One paper has been accepted by ESWA, congrats to Na Song and other collaborators! :sparkles:
Sep 29, 2023 One paper has been accepted by IEEE TNNLS, congrats to Luying Zhong and other collaborators! :sparkles:

Education

  • 2021 - 2024
    Master in Artificial Intelligence
    College of Computer and Data Science, Fuzhou University, China
    • Supervised by Prof. Shiping Wang
  • 2023
    Research Assistant
    Division of Fundamental Research, Shenzhen Research Institute of Big Data, China.
    School of Data Science, The Chinese University of Hong Kong, Shenzhen, China.
    • Supervised by Prof. Jicong Fan
  • 2017 - 2021
    Bachelor in Computer Science
    College of Computer and Data Science, Fuzhou University, China

Publications

†co-first author      *corresponding author

  1. Graph Convolutional Kernel versus Graph Convolutional Networks
    Zhihao Wu, Zhao Zhang, and Jicong Fan
    Advances in Neural Information Processing Systems 2023
  2. 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
  3. Graph Convolutional Network with Elastic Topology
    Zhihao Wu, Zhaoliang Chen, Shide Du, Sujia Huang, and Shiping Wang
    Pattern Recognition 2024
  4. Kernel Readout for Graph Neural Networks
    Jiajun Yu†, Zhihao Wu†, Jia Adele Lu, and Jicong Fan
    In International Joint Conference on Artificial Intelligence 2024
  5. Beyond Graph Convolutional Network: An Interpretable Regularizer-Centered Optimization Framework
    Shiping Wang, Zhihao Wu, Yuhong Chen, and Yong Chen
    In AAAI Conference on Artificial Intelligence 2023
  6. Dual Low-Rank Graph Autoencoder for Semantic and Topological Networks
    Zhaoliang Chen, Zhihao Wu, Shiping Wang, and Wenzhong Guo
    In AAAI Conference on Artificial Intelligence 2023
  7. Graph Convolutional Kernel versus Graph Convolutional Networks
    Jielong Lu, Zhihao Wu, Zhaoliang Chen, Zhiling Cai, and Shiping Wang
    In ACM International Conference on Multimedia 2024
  8. 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
  9. 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
  10. 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
  11. 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
  12. UMCGL: Universal Multi-view Consensus Graph Learning with Consistency and Diversity
    Shide Du, Zhiling Cai, Zhihao Wu, Yueyang Pi, and Shiping Wang
    IEEE Transactions on Image Process 2024
  13. 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
  14. Enhancing Multi-view Graph Neural Network with Cross-view Confluent Message Passing
    Shuman Zhuang, Sujia Huang, Wei Huang, Yuhong Chen, Zhihao Wu, and Ximeng Liu
    In ACM International Conference on Multimedia 2024
  15. Revisiting Multi-view Learning: A Perspective of Implicitly Heterogeneous Graph Convolutional Network
    Ying Zou, Zihan Fang, Zhihao Wu, Chenghui Zheng, and Shiping Wang
    Neural Networks 2023
  16. Multi-level Knowledge Integration with Graph Convolutional Network for Cancer Molecular Subtype Classification
    Sujia Huang, Shunxin Xiao, Wenzhe Liu, Jielong lu, Zhihao Wu, and Jagath Rajapakse
    In IEEE International Conference on Bioinformatics and Biomedicine 2023

Preprints

  1. ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks
    Zhaoliang Chen, Zhihao Wu, Ylli Sadikaj, Claudia Plant, Hong-Ning Dai, Shiping Wang, and Wenzhong Guo
    arXiv preprint arXiv:2403.09171 2024
  2. Deep Dual Contrastive Learning for Multi-View Subspace Clustering
    Xincan Lin, Jie Lian, Zhihao Wu, Jielong Lu, and Shiping Wang
    Available at SSRN 4706044 2023

Academic Services

  • Journal Reviewer: IEEE TNSE, IEEE SPL, Neural Processing Letters.
  • Conference PC Member: NeurIPS 2024, ECCV 2024, ACM MM 2024.