张晟中，南京航空航天大学计算机科学与技术学院讲师，模式分析与机器智能（工业与信息化部）重点实验室、南京航空航天大学百强科研团队成员。博士毕业于复旦大学，师从黄增峰教授，主要研究方向为图机器学习与数据挖掘。至今发表8篇高水平学术论文，包括ICLR, KDD, NeurIPS等。目前担任多个顶级会议的审稿人，包括ICML, ICLR, NeurIPS, KDD, WWW等。

部分代表性论文：

• 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.

• 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.