Zezhong Ding's Homepage

Zezhong Ding (丁泽中)

✉️ Email: zezhongding "at" mail.ustc.edu.cn
🏫 Address: 188 Renai Road, Suzhou, P.R. China 215123
Google Scholar, Github

Zezhong is a Ph.D. student in School of Artificial Intelligence and Data Science (人工智能与数据科学学院), University of Science and Technology of China (USTC, 中国科学技术大学); Data Darkness Lab (DDL, led by Prof. Xike Xie (谢希科)), Center for Medical Imaging, Robotics, Analytic Computing & Learning (MIRACLE Center, led by Prof. S. Kevin Zhou (周少华)), Suzhou Institute for Advance Research, USTC (中国科大苏州高等研究院), supervised by Prof. Xike Xie (谢希科) (Since 2022.09).

📌 Welcome to contact me for any discussion and cooperation!

My general research interests mainly focus on the areas of data, system, and artificial intelligence over big data, particularly big graph data. The current structure of my research framework is as follows.

Data Science [Data Management Layer]
🎯Graph Partitioning [S5P, SIGMOD-24]
🎯Structural Graph Clustering
System [System Architecture Layer]
🎯Graph Learning System
Artificial Intelligence [Downstream Task Layer]
🎯Graph Sampling for GNN
🎯Attribute Graph Clustering with GNN
🎯Disease Inference with Knowledge Graphs (Cooperation with iFLYTEK)

News

3/30/2024: Data Darkness Lab is recruiting graduate students for the 2024 year, USTC! Inquiries Welcome!
2/23/2024: One paper is accepted by SIGMOD 2024! Looking forward to the conference in Santiago, Chile!

Selected Publications

* indicates equal contribution, # indicates corresponding author

[SIGMOD-24] Zezhong Ding, Yongan Xiang, Shangyou Wang, Xike Xie^#, S. Kevin Zhou, Play like a Vertex: A Stackelberg Game Approach for Streaming Graph Partitioning, CCF-A, Best Conference on Database, ACM SIGMOD Conference, 2024. (Paper)(Code)(Report)

Selected Awards

National Scholarship 🏆 (twice, in 2019 and 2021)
Gold Medal 🥇 in IGEM (Project, Report, 2021)
Finalist in US Mathematical Contest in Modeling (Top 1%, 2021)
AEON Scholarship (2020)
Outstanding Graduate, Ocean University of China (2022)

Academic Services

I am/was a program committee member or reviewer for the following conferences/workshops:

International Conference on Data Engineering (ICDE): 2024
ACM SIGIR Conference (SIGIR): 2022

Hobbies