Zezhong Ding (丁泽中)

PhD Candidate, Data Darkness Lab, USTC

zezhongding AT mail DOT ustc DOT edu DOT cn
zezhongding DOT cs AT gmail DOT com

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$ whoami

Zezhong (aka Zeddy) is a Ph.D. candidate in the Data Darkness Lab (DDL) at the School of Artificial Intelligence and Data Science, USTC, supervised by Prof. Xike Xie. He was a visiting student at the Department of Computer Science, Hong Kong Baptist University working with Prof. Jianliang Xu. He has published more than 10 peer-reviewed research papers in prestigious conferences and journals such as SIGMOD, SC, NeurIPS, ICML, KDD, ACL, and TC.

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

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$ head research_interests

My research focuses on data management, machine learning, and computer systems over big data and large models, in particular, big graphs and foundation models.
Recent and current research projects and interests include:

🎯Graph Foundation Models & Relational Graph Learning

🎯Graph Transformers & Imbalanced Graph Learning

🎯Graph Machine Learning Systems

🎯Graph Partitioning Algorithms for Distributed Computing

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$ tail news

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$ head publications

You can find the full list of my publications on my Google Scholar profile.

• [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 (SIGMOD-24), 2024. (PDF)(Code)(Slides)(Press)
• [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 (SIGMOD-25), 2025. (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 (SIGMOD-26), 2025. (PDF)(Code)
• [SC-26] Zezhong Ding, Rui Guo, Wenbo Zhen, Junlin Lv, Jianliang Xu, Xike Xie*, DOLPHIN: Scalable Disk–RAM–GPU Pipelined Training for Massive Temporal GNNs, Proc. High Performance Computing, Networking, Storage, and Analysis (SC-26), 2026. (PDF)(Code) Best Student Paper Finalist
• [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 (TC-25), 2025. (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 (NeurIPS-25), 2025. (PDF)(Code)
• [ICML-26] Haokun Liu¹, Zezhong Ding¹, Xike Xie*, Learning Graph Foundation Models on Riemannian Graph-of-Graphs, Proc. International Conference on Machine Learning (ICML-26), 2026. (PDF)(Code)
• [KDD-26] Shangyou Wang¹, Zezhong Ding¹, Xike Xie*, SamGoG: A Sampling-Based Graph-of-Graphs Framework for Imbalanced Graph Classification, Proc. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-26), 2026. (PDF)(Code)
• [KDD-26] Huhao Guan¹, Zezhong Ding¹, Ao Ke, Xike Xie*, S. Kevin Zhou, SIGHP: Scalable Information-Guided Hypergraph Partitioner, Proc. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-26), 2026. (PDF)(Code)
• [ACL-25] Yukun Cao, Shuo Han, Zengyi Gao, Zezhong Ding, Xike Xie*, S. Kevin Zhou, GraphInsight: Unlocking Insights in Large Language Models for Graph Structure Understanding, Proc. Annual Meeting of the Association for Computational Linguistics (ACL-25), 2025. (PDF)(Code)

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$ cat academic_services

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

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$ head awards

• SC Best Student Paper Finalist, SC (2026)
• Gold Medal , International Genetically Engineered Machine Competition (USA) (2021)
• Finalist (Nomination for the Outstanding Award), MCM (USA) (Top 1%, 2021)
• AEON Scholarship, Aeon (Japan) (2020)

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$ cat teaching_experiences

Undergraduate Teaching Assistant in OUC (2020-2021):

• Core CS Courses: Data Structures and Algorithms, Introduction to Computer Systems, Computer Network, Object-Oriented Programming, High-level Programming Language, and Numerical Analysis

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$ info life

• 💌Love: Ariel 🏡Hometown: Sichuan, China

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Last Update: 2026-08-18