Zezhong Ding (丁泽中)

My heart is in the 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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$ whoami

Zezhong (aka Zeddy) 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 2024 to 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 and journals such as SIGMOD, SIGKDD, NeurIPS, ACL, and TC. His general research interests mainly focus on the data management, machine learning, and computer systems over big data and large models, particularly big graph data and large language models.

$ echo "📌Welcome to contact me for any discussion!😊"

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$ head research_interests

📊 Data Management

• 🎯Graph/Hypergraph Partitioning: How to Partition Big Graphs/Hypergraphs?
  • Graph Partitioning: [S5P, SIGMOD-24], [ClusPar, TC-25]
  • Hypergraph Partitioning: [SIGHP, SIGKDD-26]

🤖 Machine Learning

• 🎯Graph Machine Learning: How to Design Graph Machine Learning Models?
  • Graph Transformer: [DuetGraph, NeurIPS-25]
  • Imbalanced Graph Learning: [SamGoG, arXiv-25]
• 🎯LLMs: How to Enhance LLMs' Reasoning Ability?
  • LLM for Graph Understanding: [GraphInsight, ACL-25], [GraphVista, arXiv-25]

💻 Computer Systems

• 🎯Graph Training Systems: How to Train Big Graphs?
  • Static Graph Training: [Capsule, SIGMOD-25]
  • Dynamic Graph Training: [SWIFT, SIGMOD-26]

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$ tail news

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$ head publications

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

• 📄[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. (PDF)(Code)(Slides)(Press)
• 📄[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. (PDF)(Code)
• 📄[SIGMOD-25] Yongan Xiang¹, 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. (PDF)(Code)(Slides)(Press)
• 📄[SIGMOD-26] Rui Guo¹, 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. (PDF)(Code)
• 📄[NeurIPS-25] Jin Li¹, Zezhong Ding¹, Xike Xie, DuetGraph: Coarse-to-Fine Knowledge Graph Reasoning with Dual-Pathway Global-Local Fusion, Advances in Neural Information Processing Systems. (PDF)(Code)

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$ head 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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$ cat academic_services

• Reviewer: ICML 2026; SIGMOD 2025 (ARI); TKDD 2024
• External Reviewer: VLDBJ 2026; NeurIPS 2024; ICDE 2024; ICDE 2025; ICDE 2026; SIGIR 2022

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$ cat 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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$ cat misc

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

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$ info life

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

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