Zezhong Ding (丁泽中)

My heart is in the data research!

✉️ Email: zezhongding AT mail DOT ustc DOT edu DOT cn
🏫 University of Science and Technology of China (USTC)

Google Scholar, Github

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Zezhong is a Ph.D. candidate (successive master-doctor program since 2022) in Data Darkness Lab (DDL), School of Artificial Intelligence and Data Science, University of Science and Technology of China (USTC), supervised by Prof. Xike Xie. He was a visiting student at Department of Computer Science, Hong Kong Baptist University, from Nov. 2024 to Feb. 2025, working with Prof. Jianliang Xu. He received his B.Eng. (Hons) degree in Computer Science and Technology from Ocean University of China in 2022. He has published several research papers in prestigious conferences such as ACM SIGMOD. His general research interests mainly focus on the data management, machine learning (ML), and computer systems over big data and large models, particularly big graph data and large language models (LLMs).

📌 Welcome to contact me for any discussion!😊

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Research Interests

📊 Data Management

• 🎯Distributed Graph Computing: How to Partition Big Graph Data for Distributed Computing?
  • [S5P, SIGMOD-24]: Streaming Skewness-aware Graph Partitioner
  • [ClusPar, TC-25]: Streaming Game-Theoretic Graph Partitioner (Journal Extension for [CLUGP, ICDE-22])

🤖 Machine Learning

• 🎯Graph ML: How to Design Scalable and Efficient Graph Models to enhance the Performance and Capabilities of Graph-Related Applications?
  • [DuetGraph, arXiv-25]: Knowledge Graph Reasoning with Global-Local Fusion
  • [SamGoG, arXiv-25]: Graph-of-Graphs Framework for Graph Classification
• 🎯LLMs: How to Enhance LLMs' Reasoning Ability?
  • [GraphInsight, ACL-25]: LLM (w/ RAG) for Graph Structure Understanding

💻 Computer Systems

• 🎯Graph ML Systems: How to Overcome Challenges for Training Big Graphs?
  • [Capsule, SIGMOD-25]: Out-of-Core Graph Training Mechanism
  • [SWIFT, SIGMOD-26]: Out-of-Core Dynamic Graph Training Mechanism

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News

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Selected Publications

You can find the full list of my publications here, my DBLP entry here and my Google Scholar entry here.

Remark: ¹ indicates co-first authors, * 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, Proceedings of the ACM on Management of Data 2 (3) (CCF-A), 2024. (PDF)(Source Code)(Slides)(Press Release)
• 📄[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 74 (1) (CCF-A), 2025. (PDF) (Source Code)
• 📄[SIGMOD-25] Yongan Xiang, Zezhong Ding¹, Rui Guo, Shangyou Wang, Xike Xie^*, S. Kevin Zhou, Capsule: an Out-of-Core Training Mechanism for Colossal GNNs, Proceedings of the ACM on Management of Data 3 (1) (CCF-A), 2025. (PDF)(Source Code)(Slides)(Press Release)
• 📄[SIGMOD-26] Rui Guo, Zezhong Ding¹, Xike Xie^*, Jianliang Xu, SWIFT: Enabling Large-Scale Temporal Graph Learning on a Single Machine, Proceedings of the ACM on Management of Data 3 (4) (CCF-A), 2025. (PDF)(Source Code)

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Selected Awards

• National Scholarship (China) (three times, in 2019, 2021, and 2024)
• Gold Medal in International Genetically Engineered Machine Competition (2021)
• Finalist (Nomination for Grand Prize) in MCM (USA) (Top 1%, 2021)

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Academic Services

• SIGMOD2025(ARI), TKDD2024, NeurIPS2024, ICDE2024|2025|2026, SIGIR2022

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Teaching Experiences

• Undergraduate Teaching Assistant (TA) at Ocean University of China: Object-Oriented Programming (2020), High-level Programming Language (2020, 2021), Data Structures and Algorithms (2021), Introduction to Computer Systems (2021), Computer Network (2021), Numerical Analysis (2021)

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Hobbies

Coding ⭐, Basketball🏀, Soccer ⚽️, Moive 🎬, Singing 🎤, Snooker 🎱, Swimming 🏊

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💌Love: Ariel@Amsterdam 🏡Hometown: Xindu, Chengdu&Panzhihua@Sichuan

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