Rui Wang (汪睿)

• Assistant Professor (浙江大学软件学院平台“百人计划”研究员)
• College of Software Engineering, Zhejiang University (ZJU), China
• Email: rwang21 at zju dot edu dot cn

• Office: Room 412, Building 6, Ningbo Campus of Zhejiang University

• Research interests
  • Graph computing and storage systems, including graph computing algorithms, graph storage systems, graph learning models and graph training frameworks.
  • LLM systems, with emphasis on secure LLM deployment, scalable LLM training and inferring systems.

Google Scholar

Education

• Ph.D at College of Computer Science and Technology, University of Science and Technology of China (USTC)
  • 2016.09 to 2021.06, Hefei, Anhui
  • Major: Computer system architecture
  • Supervisor: Prof. Yinlong Xu and Prof. Yongkun Li.
• B.S. at College of Computer Science and Technology, Donghua University (DHU)
  • 2012.09 to 2016.06, Shanghai
  • Major: Computer Science and Technology

Work experience

• 2023.08 to Present: Assistant Professor
  • College of Software at Zhejiang University
  • Team: DATA INTELLIGENCE LABORATORY OF ZHEJIANG UNIVERSITY
• 2021.07 to 2023.07: Postdoc
  • College of Computer Science and Technology at Zhejiang University
  • Supervisor: Prof. Shuibing He

Publications

SALoM: Structure Aware Temporal Graph Networks with Long-Short Memory Updater.

Hanwen Liu, Longjiao Zhang, Rui Wang, Tongya Zheng, Sai Wu, Chang Yao, Mingli Song, "SALoM: Structure Aware Temporal Graph Networks with Long-Short Memory Updater." the Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025), San Diego Convention Center, Nov 30th to Dec 7th, 2025

Efficient Distributed Graph Neural Network Training with Source Chunking and Moving Aggregation.

Wenjie Huang, Tongya Zheng, Rui Wang*, Tongtian Zhu, Bingde Hu, Shuibing He, Mingli Song, Xinyu Wang, Sai Wu, Chun Chen. "Efficient Distributed Graph Neural Network Training with Source Chunking and Moving Aggregation." IEEE Transactions on Knowledge and Data Engineering (TKDE) 2025

XDB: A Task-Centric AI-Native DBMS for Model Management and Inference.

Sai Wu, Ruichen Xia, Dingyu Yang, Rui Wang, Huihang Lai, Jiarui Guan, Jiameng Bai, Dongxiang Zhang, Xiu Tang, Zhongle Xie, Peng Lu, Gang Chen. "XDB: A Task-Centric AI-Native DBMS for Model Management and Inference." The ACM Special Interest Group on Management of Data (SIGMOD 2026) 2026

PTWalker: Cache-Efficient Random Walks via Alternating Dual-Subgraph Walker Updating.

Shuai Lin, Rui Wang, Zaigui zhang, Long Deng, Wenzhe Zhu, Yongkun Li, Yinlong Xu. "PTWalker: Cache-Efficient Random Walks via Alternating Dual-Subgraph Walker Updating." The 54th International Conference on Parallel Processing (ICPP 2025), San Diego, CA, September 8 -11, 2025.

Effective and Efficient Distributed Temporal Graph Learning through Hotspot Memory Sharing.

Longjiao Zhang, Rui Wang, Tongya Zheng, Ziqi Huang, Wenjie Huang, Xinyu Wang, Can Wang, Mingli Song, Sai Wu, Shuibing He, "Effective and Efficient Distributed Temporal Graph Learning through Hotspot Memory Sharing." the 51st International Conference on Very Large Data Bases (PVLDB 2025), London, United Kingdom, September 1-5, 2025

DualGuard: A Parameter Space Transformation Approach for Bidirectional Defense in Split-Based LLM Fine-Tuning.

Zihan Liu, Yizhen Wang, Rui Wang, Sai Wu, "DualGuard: A Parameter Space Transformation Approach for Bidirectional Defense in Split-Based LLM Fine-Tuning." the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025), Vienna, Austria, July 27 to August 1st, 2025.

Efficient Dynamic Graph Learning with Refined Batch Parallel Training.

Zhengzhao Feng, Rui Wang, Longjiao Zhang, Tongya Zheng, Ziqi Huang, Mingli Song, "Efficient Dynamic Graph Learning with Refined Batch Parallel Training." the 34th International Joint Conference on Artificial Intelligence (IJCAI 2025), Montreal, 16th – 22nd August, 2025.

Quick Sense Temporal Graph Transformer with Effective Representation Augmentation.

Ziqi Huang, Tongya Zheng, Rui Wang, Longjiao Zhang, Wenjie Huang, Xinyu Wang, "Quick Sense Temporal Graph Transformer with Effective Representation Augmentation." the International Joint Conference on Neural Networks (IJCNN 2025), ROME, ITALY, June 30 - July 5, 2025.

Enumeration of Billions of Maximal Bicliques in Bipartite Graphs without Using GPUs.

Zhe Pan, Shuibing He, Xu Li, Xuechen Zhang, Yanlong Yin, Rui Wang, Lidan Shou, Mingli Song, Xian-He Sun, and Gang Chen. Enumeration of Billions of Maximal Bicliques in Bipartite Graphs without Using GPUs. In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC 2024). Atlanta, GA, USA, 2024, pp. 1-15

Two-Dimensional Balanced Partitioning and Efficient Caching for Distributed Graph Analysis.

Shuai Lin, Rui Wang, Yongkun Li, Yinlong Xu, John C.S. Lui. "Two-Dimensional Balanced Partitioning and Efficient Caching for Distributed Graph Analysis," in IEEE Transactions on Parallel and Distributed Systems, vol. 36, no. 2, pp. 133-149, Feb. 2025.

AMBEA: Aggressive Maximal Biclique Enumeration in Large Bipartite Graph Computing.

Zhe Pan, Xu Li, Shuibing He, Xuechen Zhang, Rui Wang, Yunjun Gao, Gang Chen and Xian-He Sun. "AMBEA: Aggressive Maximal Biclique Enumeration in Large Bipartite Graph Computing," in IEEE Transactions on Computers (IEEE TC), vol. 73, no. 12, pp. 2664-2677, Dec. 2024.

Efficient Large Graph Processing with Chunk-Based Graph Representation Model.

Rui Wang, Weixu Zong, Shuibing He, Xinyu Chen, Zhenxin Li, and Zheng Dang "Efficient Large Graph Processing with Chunk-Based Graph Representation Model." USENIX Annual Technical Conference (ATC 2024), Santa Clara, CA, pp.1239-1255, 2024.

CCL-BTree: A Crash-Consistent Locality-Aware B+-Tree for Reducing XPBuffer-Induced Write Amplification in Persistent Memory.

Zhenxin Li, Shuibing He, Zheng Dang, Peiyi Hong, Xuechen Zhang, Rui Wang, and Fei Wu. CCL-BTree: A Crash-Consistent Locality-Aware B+-Tree for Reducing XPBuffer-Induced Write Amplification in Persistent Memory. In Proceedings of the Nineteenth European Conference on Computer Systems (EuroSys 2024). Association for Computing Machinery, New York, NY, USA, 441–455.

Efficient Maximal Biclique Enumeration on GPUs.

Zhe Pan, Shuibing He, Xu Li, Xuechen Zhang, Rui Wang, and Gang Chen. Efficient Maximal Biclique Enumeration on GPUs. In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC 2023). Association for Computing Machinery, New York, NY, USA, Article 16, 1–13.

Toward Fast and Scalable Random Walks over Disk-Resident Graphs via Efficient I/O Management.

Rui Wang, Yongkun Li, Yinlong Xu, Hong Xie, John C. S. Lui, and Shuibing He. Toward Fast and Scalable Random Walks over Disk-Resident Graphs via Efficient I/O Management. ACM Trans. Storage (ACM TOS) 18, 4, Article 36, 2022, 33 pages.

XPGraph: XPline-Friendly Persistent Memory Graph Stores for Large-Scale Evolving Graphs.

Rui Wang, Shuibing He, Weixu Zong, Yongkun Li, and Yinlong Xu. "XPGraph: XPline-friendly persistent memory graph stores for large-scale evolving graphs." In 2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO), pp. 1308-1325. IEEE, 2022.

Towards Fast Large-scale Graph Analysis via Two-dimensional Balanced Partitioning.

Shuai Lin, Rui Wang, Yongkun Li, Yinlong Xu, John C.S. Lui, Fei Chen, Pengcheng Wang, and Lei Han. Towards Fast Large-scale Graph Analysis via Two-dimensional Balanced Partitioning. In Proceedings of the 51st International Conference on Parallel Processing (ICPP 2022). Association for Computing Machinery, New York, NY, USA, Article 37, 1–11.

Common Neighbors Matter: Fast Random Walk Sampling With Common Neighbor Awareness.

Rui Wang, Yongkun Li, Shuai Lin, WeiJie Wu, Hong Xie, Yinlong Xu, and John CS Lui. "Common Neighbors Matter: Fast Random Walk Sampling With Common Neighbor Awareness," in IEEE Transactions on Knowledge and Data Engineering, vol. 35, no. 5, pp. 4570-4584, 1 May 2023

On Modeling Influence Maximization in Social Activity Networks under General Settings.

Rui Wang, Yongkun Li, Shuai Lin, Hong Xie, Yinlong Xu, and John C. S. Lui. On Modeling Influence Maximization in Social Activity Networks under General Settings. ACM Trans. Knowl. Discov. Data (ACM TKDD),vol.15, no.6, 2021

GraphWalker: An I/O-Efficient and Resource-Friendly Graph Analytic System for Fast and Scalable Random Walks.

Rui Wang, Yongkun Li, Hong Xie, Yinlong Xu, and John CS Lui. "GraphWalker: An I/O-Efficient and Resource-Friendly Graph Analytic System for Fast and Scalable Random Walks." In 2020 USENIX Annual Technical Conference (USENIX ATC 20), pp. 559-571. 2020.

Students

• Zihan Liu, PhD, started in 2024,

• Enyuan Chen, PhD, started in 2025,

• Zhengzhao Feng, Master, started in 2023,
• Tianxing Wang, Master, started in 2023,
• Yizhen Wang, Master, started in 2024,
• Xianzhe Zheng, Master, started in 2024,
• Hanwen Liu, Master, started in 2024,
• Zeyu Li, Master, started in 2024,
• Songhua Zhou, Master, started in 2025,
• Jiaqi Li, Master, started in 2025,
• Yilu Wang, Master, started in 2025,
• Wensong Liu, Master, started in 2025.

Teaching

• 2024 winter, Advanced Distributed System
• 2024 winter, Introduction to Artificial Intelligence Chips