Shengzhong Zhang College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing, China. 211106. Email: szzhang@nuaa.edu.cn

Biography

I am an assistant professor in the College of Computer Science and Technology at Nanjing University of Aeronautics and Astronautics. I received my Ph.D. degree from the School of Data Science, Fudan University, in 2024, 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, 2025.
• 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.