Yingming Mao (茅英明)

Yingming Mao (茅英明)

Ph.D. Student @ XJTU & SII. Researching AI Infra, Data Center Networks, and Power Systems.

Yingming Mao (茅英明)

I am a Ph.D. student at Xi’an Jiaotong University (XJTU) and Shanghai Innovation Institute(SII), majoring in Control Science and Engineering with a focus on AI Infrastructure. My research lies at the intersection of large-scale network optimization and intelligent power systems.

News

  • 2026-05-13 – NeuroRisk: Physics-Informed Neural Optimization for Risk-Aware Traffic Engineering is available as an arXiv preprint. (First author)
  • 2025-12-10 – Duonet: Learning the Duality-based Topology-Agnostic Update Operator for Lightweight Traffic Engineering in Changing Topologies accepted to NSDI’26 (23rd USENIX NSDI, Seattle, May 4–6, 2026). Acceptance: 100/452 (22.1%). (Co-author)
  • 2025-12-08 – ATRO: A Fast Algorithm for Topology Engineering of Reconfigurable Datacenter Networks accepted to IEEE INFOCOM 2026 conference. Acceptance: 329/1740 (18.9%). (First author)
  • 2025-07-14 – A Fast Solver-Free Algorithm for Traffic Engineering in Large-Scale Data Center Network accepted to NSDI’26 (23rd USENIX NSDI, Seattle, May 4–6, 2026). Acceptance: 50/207 (24.2%). (First author)

Research Interests

  • 🔍 Data Center Networks (DCN): Traffic Engineering (TE) and Topology Engineering in large-scale and reconfigurable networks.
  • 📊 Microgrid Management: Optimal scheduling and planning for microgrids with high-penetration renewable energy.
  • 💡 Power System Analysis: Linear power flow modeling and data generation considering spatial correlations.

Education

  • Ph.D. in Control Science and Engineering, Xi’an Jiaotong University & Shanghai Innovation Institute, 2022 – Present
  • B.E. in Automation, Xi’an Jiaotong University, 2018 – 2022

Selected Publications

Conference Preprints (Networking & AI Infra)

  1. Yingming Mao, Ximeng Liu, Jingyi Cheng, Xiyuan Liu, Jiashuai Liu, Yike Liu, Zhen Yao, Yuzhou Zhou, Siyuan Feng, Qiaozhu Zhai, and Shizhen Zhao. “NeuroRisk: Physics-Informed Neural Optimization for Risk-Aware Traffic Engineering.” arXiv preprint arXiv:2605.12862, 2026. [Link]
  2. Yingming Mao, Qiaozhu Zhai, Ximeng Liu, Zhen Yao, Xia Zhu, and Yuzhou Zhou. “A Fast Solver-Free Algorithm for Traffic Engineering in Large-Scale Data Center Network.” arXiv preprint arXiv:2504.04027 (Accepted by NSDI ‘26), 2025. [Link]
  3. Yingming Mao, Qiaozhu Zhai, Ximeng Liu, Xinchi Han, Fafan li, Shizhen Zhao, Yuzhou Zhou, Zhen Yao, and Xia Zhu. “ATRO: A Fast Algorithm for Topology Engineering of Reconfigurable Datacenter Networks.” arXiv preprint arXiv:2507.13717 (Accepted by INFOCOM ‘26), 2025. [Link]
  4. Ximeng Liu, Zhuoran Liu, Yingming Mao, Shizhen Zhao, Xinbing Wang, Yatao li. “Duonet: Learning the Duality-based Topology-Agnostic Update Operator for Lightweight Traffic Engineering in Changing Topologies” (Accepted by NSDI ‘26), 2025.

Journal Articles (Power Systems)

  1. Zhentong Shao, Qiaozhu Zhai, Yingming Mao, and Xiaohong Guan. “A method for evaluating and improving linear power flow models in system with large fluctuations.” International Journal of Electrical Power & Energy Systems, Vol. 145, 108635, 2023.
  2. Yingming Mao, Qiaozhu Zhai, Yuzhou Zhou, Jiexing Zhao, Zhentong Shao, Yanzhuo Yang, and Hui Hou. “Data generation method for power system operation considering geographical correlations and actual operation characteristics.” Energy Reports, Vol. 9, pp. 1480-1489, 2023.

Honors and Awards

  • Huawei Scholarship, 2025
  • Outstanding Undergraduate Graduation Design/Thesis, Shaanxi Province, 2022

Contact