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), USTC, supervised by Prof. Xike Xie. He was a visiting student at the Department of Computer Science, HKBU 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

Recent and current research projects and interests include:

🎯Foundation Models & Relational Learning

🎯Transformers & Imbalanced Learning

🎯Machine Learning Systems

🎯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.

• [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)(Press) Best Student Paper Finalist
• [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)
• [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