Shengzhong Zhang School of Data Science Fudan University Shanghai, China. 200433. Email: szzhang17@fdu.edu.cn

Biography

I am a final-year Ph.D candidate of the School of Data Science at Fudan University, advised by Prof. Zengfeng Huang.

Research Interests

My research interests include graph mining and spectral graph theory.

Conference & Journal Papers

Note: * for corresponding author, † for equal contribution.

• Shengzhong Zhang, Yimin Zhang, Bisheng Li, Wenjie Yang, Min Zhou, Zengfeng Huang*. Graph Batch Coarsening Framework for Scalable Graph Neural Networks. Neural Networks, in press.
• Shengzhong Zhang, Wenjie Yang, Xinyuan Cao, Hongwei Zhang, Zengfeng Huang*. StructComp: Substituting Propagation with Structural Compression in Training Graph Contrastive Learning. ICLR, 2024.
• Wenjie Yang†, Shengzhong Zhang†, Zengfeng Huang*. Enhancing Performance of Coarsened Graphs with Gradient-matching. ICASSP, 2024.
• Liang Yan, Gengchen Wei, Chen Yang, Shengzhong Zhang, Zengfeng Huang*. Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition. NeurIPS, 2023.
• Ziang Zhou, Jieming Shi*, Shengzhong Zhang, Zengfeng Huang, Qing Li. Effective Stabilized Self-Training on Few-Labeled Graph Data. Information Sciences, 2023.
• Bisheng Li, Min Zhou, Shengzhong Zhang, Menglin Yang, Defu Lian, Zengfeng Huang*. BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction. SIGIR, 2022.
• Zengfeng Huang*, Shengzhong Zhang, Chong Xi, Tang Liu and Min Zhou. Scaling Up Graph Neural Networks Via Graph Coarsening. KDD, 2021.
• Shengzhong Zhang, Zengfeng Huang*, Haicang Zhou, Ziang Zhou. SCE: Scalable Network Embedding from Sparsest Cut. KDD, 2020.