Zezhong Ding's Homepage

Zezhong Ding (丁泽中)

My heart is in the data research! — Lumiere

✉️ Email: zezhongding AT mail DOT ustc DOT edu DOT cn
🏫 University of Science and Technology of China (USTC)
🎓 Ph.D.(USTC)Now; M.Eng.(USTC)2024; B.Eng.(OUC)2022.
Google Scholar, Github

I am a first-year Ph.D. candidate in School of Artificial Intelligence and Data Science, University of Science and Technology of China (USTC); Data Darkness Lab (DDL), Suzhou Institute for Advance Research, USTC, supervised by Prof. Xike Xie. I am also a Research Assistant at Department of Computer Science, Hong Kong Baptist University, from Nov. 2024 to Feb. 2025, working with Prof. Jianliang Xu.
My general research interests mainly focus on the areas of data management, system, and artificial intelligence over big data, particularly big graph data.

📌 Welcome to contact me for any discussion!😊

Research Interests

Data Management
🎯Graph Partitioning: How to Partition the Big Graph for Distributed Graph Computing?
- [S5P, SIGMOD-24]: Streaming Skewness-aware Vertex-cut Partitioner
- [ClusPar, TC-25]: Clustering-Gaming Graph Partitioning Framework (Journal Extension of [CLUGP, ICDE-22])
System
🎯Graph Learning System: How to Make the Graph Learning Faster and Easier?
- [Capsule, SIGMOD-25]: Out-of-Core GNN Training Mechanism
🎯LLM System: How to Build Efficient and Scalable Systems for LLMs?
Artificial Intelligence
🎯AI4Graph: How to Utilize AI to Understand Graph Structures?
- [GraphInsight, arXiv-24]: LLM for Graph Structure Understanding
🎯Graph ML: How to Design Effective, Efficient and Scalable Graph ML Models?
🎯AI4Sci: How to Untilize AI for Solving Scientific Problems?

11/1/2024: One paper is accepted by SIGMOD 2025 (CCF-A)! Next station is Berlin, Germany!
9/30/2024: One paper is accepted by IEEE Transactions on Computers (CCF-A)!
6/13/2024: I give my first conference talk on SIGMOD24 in Santiago, Chile!
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 (CCF-A)! Looking forward to the conference in Santiago, Chile!

Selected Publications

* indicates equal contribution, # indicates corresponding author

📄[SIGMOD-25] Yongan Xiang*, Zezhong Ding*, Rui Guo, Shangyou Wang, Xike Xie^#, S. Kevin Zhou, Capsule: an Out-of-Core Training Mechanism for Colossal GNNs, ACM International Conference on Management of Data (CCF-A), 2025. (Code)
📄[TC-25] Zezhong Ding*, Deyu Kong*, Zhuoxu Zhang, Xike Xie^#, Jianliang Xu, ClusPar: A Game-Theoretic Approach for Efficient and Scalable Streaming Edge Partitioning, IEEE Transactions on Computers (CCF-A), 2025. (Paper)(Code)
📄[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, ACM International Conference on Management of Data (CCF-A), 2024. (Paper)(Code)(Slides)

Selected Awards

Graduate National Scholarship 🏆 (2024)
Undergraduate National Scholarship 🏆 (twice, in 2019 and 2021)
Gold Medal 🥇 in IGEM
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/journals:

TKDD2024,NeurIPS2024,ICDE2024|2025,SIGIR2022

Hobbies

Basketball🏀, Soccer ⚽️, Moive 🎬, Singing 🎤, Games 🎮, Snooker 🎱, Swimming 🏊