Profile

I am currently an associate researcher at Beijing Zhongguancun Laboratory, working closely with Dr. Li Chen and Prof. Dan Li. Before that, I received my Ph.D. in Computer Science from Tsinghua University in 2022.

My current research topics include distributed deep learning system, and network security. Besides, I am leading the development of an Internet measurement platform, namely KI3 (Key Information of Internet Infrastructure). I am happy to connect and exchange insights about these topics.

E-mail: wangshuai [AT] zgclab.edu.cn

Address: Beijing, China

Google Scholar       GitHub

Research Interests

• Distributed Deep Learning System
• Network Security
• Data Center Networking

News

• [12/2024] SAIP accepted to IEEE INFOCOM 2025.
• [11/2024] Attended IETF 121 in Dublin and presented Measuring OSAV remotely.
• [10/2024] Invited to serve on the PC for APNET 2025.
• [07/2024] Presented in IETF 120 remotely Measuring OSAV remotely.
• [03/2024] Attended IETF 119 in Brisbane and presented IP spoofing measurement.

Education

• Ph.D. in the Department of Computer Science and Technology
  • 2017.09 – 2022.06
  • Tsinghua University (THU)
• B.Eng. in the School of Electronic and Information Engineering
  • 2013.09 – 2017.06
  • Beijing Jiaotong University (BJTU)

Selected Publications

• [SIGCOMM’22] Shuai Wang, Kaihui Gao, Kun Qian, Dan Li, Rui Miao, Bo Li, Yu Zhou, Ennan Zhai, Chen Sun, Jiaqi Gao, Dai Zhang, Binzhang Fu, Frank Kelly, Dennis Cai, Hongqiang Harry Liu, Ming Zhang. Predictable vFabric on Informative Data Plane. In proceedings of ACM SIGCOMM, Amsterdam, 2022.

• [ToN] Shuai Wang, Jinkun Geng, Dan Li. Impact of Synchronization Topology on DML Performance: both Logical Topology and Physical Topology. In IEEE/ACM Transactions on Networking, 2022.

• [CJC] Shuai Wang, Dan Li. Research Progress on Network Performance Optimization of Distributed Machine Learning System. In Chinese Journal of Computers (in Chinese: 分布式机器学习系统网络性能优化研究进展), 2021.

• [CoNEXT’20] Shuai Wang, Dan Li, Jiansong Zhang, Wei Lin. CEFS: Compute-Efficient Flow Scheduling for Iterative Synchronous Applications. In proceedings of ACM CoNEXT, Virtual Conference, 2020.

• [INFOCOM’20] Shuai Wang, Dan Li, Jinkun Geng. Geryon: Accelerating Distributed CNN Training by Network-Level Flow Scheduling. In proceedings of IEEE INFOCOM, Virtual Conference, 2020.

• [INFOCOM’19] Shuai Wang, Dan Li, Jinkun Geng, Yue Gu, Yang Cheng. Impact of Network Topology on the Performance of DML: Theoretical Analysis and Practical Factors. In proceedings of IEEE INFOCOM, Paris, 2019.

• [INFOCOM’25] Ke Zhou, Shuai Wang, Li Chen, Dan Li, Shuhan Zhang. SAIP: Accurate Detection of Anycast Servers with the Rise of Regional Anycast. In proceedings of IEEE INFOCOM, London, 2025.

• [INFOCOM’24] Shuhan Zhang, Shuai Wang, Dan Li. Robust or Risky: Measurement and Analysis of Domain Resolution Dependency. In proceedings of IEEE INFOCOM, Vancouver, 2024.

• [INFOCOM’23] Honglin Ye, Shuai Wang, Dan Li. Impact of International Submarine Cable on Internet Routing. In proceedings of IEEE INFOCOM, New York, 2023.

• [ToN] Kaihui Gao, Shuai Wang^*, Kun Qian, Dan Li, Rui Miao, Bo Li, Yu Zhou, Ennan Zhai, Chen Sun, Jiaqi Gao, Dai Zhang, Binzhang Fu, Frank Kelly, Dennis Cai, Hongqiang Harry Liu, Ming Zhang, Yan Li, Hongwei Yang, Tao Sun. Dependable Virtualized Fabric on Programmable Data Plane. In IEEE/ACM Transactions on Networking, 2023. (* co-first author)

• [ToN] Kaihui Gao, Chen Sun, Shuai Wang, Dan Li, Yu Zhou, Hongqiang Harry Liu, Lingjun Zhu, Ming Zhang, Xiang Deng, Cheng Zhou, and Lu Lu. Buffer-Based High-Coverage and Low-Overhead Request Event Monitoring in the Cloud. In IEEE/ACM Transactions on Networking, 2023.

• [NSDI’22] Kaihui Gao, Chen Sun, Shuai Wang, Dan Li, Yu Zhou, Hongqiang Harry Liu, Lingjun Zhu, Ming Zhang. Buffer-based End-to-end Request Event Monitoring in the Cloud. In USENIX NSDI, Renton, 2022.

• [ToN] Songtao Wang, Dan Li, Yang Cheng, Jinkun Geng, Yanshu Wang, Shuai Wang, Shutao Xia, Jianping Wu. BML: A Scalable, High-performance and Fault-tolerant Network Architecture for Distributed Machine Learning. In IEEE/ACM Transactions on Networking, 2020.

• [ICDE’20] Jinkun Geng, Dan Li, Shuai Wang. Fela: Incorporating Flexible Parallelism and Elastic Tuning to Accelerate Large-Scale DML. In proceedings of IEEE ICDE, Dallas, 2020.

• [ICDE’19] Jinkun Geng, Dan Li, Shuai Wang. Rima: An RDMA-Accelerated Model-Parallelized Solution to Large-Scale Matrix Factorization. In proceedings of IEEE ICDE, Macau SAR, 2019.

• [NeurIPS’18] Songtao Wang, Dan Li, Yang Cheng, Jinkun Geng, Yanshu Wang, Shuai Wang, Shutao Xia, Jianping Wu. BML: A High-performance, Low-cost Gradient Synchronization Algorithm for DML Training. In proceedings of NeurIPS, Montreal, 2018.

Talks

• Remote Measurement of Outbound Source Address Validation Deployment. Slides,[Video]. IETF 121.

• Identifying the Presence of Outbound Source Address Validation (OSAV) Remotely. Slides,[Video]. IETF 120.

• More Methods to Measure IP Source Outbound Spoofing on the Internet. Slides,[Video]. IETF 119.

• A Large-scale Measurement of IP Source Spoofing on the Internet. Slides,[Video]. IETF 118.

• µFAB: Predictable vFabric on Informative Data Plane. [Slides],[Video]. ACM SIGCOMM 2022.

• CEFS: Compute-Efficient Flow Scheduling for Iterative Synchronous Applications. [Slides],[Video]. ACM CoNEXT 2020.

• Geryon: Accelerating Distributed CNN Training by Network-Level Flow Scheduling. [Slides],[Video]. IEEE INFOCOM 2020.

• Impact of Network Topology on the Performance of DML: Theoretical Analysis and Practical Factors. [Slides]. IEEE INFOCOM 2019.

Professional Services

• ACM APNet 2025, TPC Member.
• ACM SIGCOMM 2024, AEC Member.
• IEEE/ACM Transactions on Networking, Reviewer, 2025.
• IEEE Transactions on Cloud Computing, Reviewer, 2025.
• Elsevier Knowledge-Based Systems, Reviewer, 2020.
• IEEE Transactions on Network Science and Engineering, Reviewer, 2020.

Last updated

January 17, 2025.