I’m a Ph.D. Candidate at Antai College of Economics and Management, Shanghai Jiao Tong University (2023–present), advised by Prof. Xuemin Lin, with Prof. Long Yuan as co-supervisor. I received my Master’s degree from Guangzhou University in June 2023. Before that, I received my Bachelor’s degree from Harbin Institute of Technology in June 2020.

🔍 Research Interests

My research focuses on large-scale data management, graph mining, and data compression, with a particular interest in combining graph data systems with Large Language Models (LLMs) and multi-agent systems.

Key directions include:

• Graph Data: clustering, subgraph discovery, streaming analysis, and benchmarking
• Data Systems: high-ratio compression, efficient storage, and scalability
• LLMs & Agents: usability evaluation, agent-based databases, and intelligent kernels

I aim to bridge graph algorithms, data systems, and LLM-driven approaches to address the scale and complexity of real-world data.

💥 News

• [Aug 2026]Our paper PBC has been accepted by IEEE TKDE.
• [Aug 2026]Our paper GNIB has been accepted by WISE 2026.
• [Jul 2026]Our paper DSCAN has been accepted by IEEE TKDE.

📑 Selected Publications

^† indicates co-first authors; * indicates the corresponding author.

2026

TKDE

PBC: Pattern-Based Compression for Semi-Structured Data

Jiujing Zhang, Lingkai Meng, Zhitao Shen, Shiyu Yang, Chuan Xiao, Wei Jia, Wenjie Zhang, Xuemin Lin

IEEE Transactions on Knowledge and Data Engineering (TKDE), 2026 CCF AJCR Q1

TKDE

DSCAN: Structural Clustering on Directed Graphs

Lingkai Meng, Long Yuan, Xuemin Lin, Zi Chen, Shiyu Yang, Kai Wang

IEEE Transactions on Knowledge and Data Engineering (TKDE), 2026 CCF AJCR Q1

PDF

TKDE

Counting Butterflies over Streaming Bipartite Graphs with Duplicate Edges

Lingkai Meng, Long Yuan, Xuemin Lin, Chengjie Li, Kai Wang, Wenjie Zhang

IEEE Transactions on Knowledge and Data Engineering (TKDE), 2026 CCF AJCR Q1

PDF

SIGMOD

Triangle Counting in Hypergraph Streams: A Complete and Practical Approach

Lingkai Meng, Long Yuan, Xuemin Lin, Wenjie Zhang, Ying Zhang

Proceedings of the ACM on Management of Data, 2026, 3(6): 1–28 CCF A

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WISE

Global Node Importance Quantification: A Boosting-Based Approach

Yueqi Zhong, Lingkai Meng*, Xuemin Lin

International Conference on Web Information Systems Engineering (WISE), 2026 CCF B

2025

SIGMOD

Revisiting Graph Analytics Benchmark

Lingkai Meng, Yu Shao, Long Yuan, Longbin Lai, Peng Cheng, Xue Li, Wenyuan Yu, Wenjie Zhang, Xuemin Lin, Jingren Zhou

Proceedings of the ACM on Management of Data, 2025, 3(3): 1–28 CCF A

PDF

2024

CSUR

A Survey of Distributed Graph Algorithms on Massive Graphs

Lingkai Meng, Yu Shao, Long Yuan, Longbin Lai, Peng Cheng, Xue Li, Wenyuan Yu, Wenjie Zhang, Xuemin Lin, Jingren Zhou

ACM Computing Surveys, 2024, 57(2): 1–39 JCR Q1

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2023

SIGMOD

High-Ratio Compression for Machine-Generated Data

Jiujing Zhang, Zhitao Shen, Shiyu Yang, Lingkai Meng, Chuan Xiao, Wei Jia, Yue Li, Qinhui Sun, Wenjie Zhang, Xuemin Lin

Proceedings of the ACM on Management of Data, 2023, 1(4): 1–27 CCF A

PDF

2022

ICDE

Index-based Structural Clustering on Directed Graphs

Lingkai Meng, Long Yuan, Zi Chen, Xuemin Lin, Shiyu Yang

IEEE 38th International Conference on Data Engineering (ICDE), 2022: 2831–2844 CCF A

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View all publications →

🏆 Honors & Awards

• Antian–Fangban Scholarship (2022)
• First-Class Academic Scholarship (2022)
• Third-Class Academic Scholarship (2020, 2021)
• Second-Class Entrance Scholarship (2020)