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

  • 2026-08 – AICCL: Pushing the Quality-Scalability-Flexibility Frontier in Collective Communication via Learning accepted to NSDI ‘27. Acceptance: 66/355 (18.6%). (Co-author)
  • 2026-08-20 – Robust Capacity Planning of Hydrogen-Based Remote Microgrids with a Co-Optimized Daily Service Window published in Applied Energy. (First author) [Publisher] [Free access until Oct. 9, 2026]
  • 2026-08 – Avoid Routing Polarization for OCS-based GPU Clusters published online in the Journal of Optical Communications and Networking (JOCN). (Co-author)
  • 2026-05-13 – NeuroRisk: Physics-Informed Neural Optimization for Risk-Aware Traffic Engineering is available as an arXiv preprint. (First author)
  • 2025-12-10 – Geminet: 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

Networking & AI Infrastructure

  1. Ximeng Liu, Yingming Mao, Zhuoran Liu, Jinhui Ren, Shuyao Qi, Xinchi Han, Siyuan Feng, Peirui Cao, Yatao Li, Shizhen Zhao, and Xinbing Wang. “AICCL: Pushing the Quality-Scalability-Flexibility Frontier in Collective Communication via Learning.” Accepted by NSDI ‘27, 2026.
  2. Xinchi Han, Weihao Jiang, Yingming Mao, Yike Liu, Zhuoran Liu, Yongxi Lv, Peirui Cao, Zhuotao Liu, Ximeng Liu, Xinbing Wang, Changbo Wu, Zihan Zhu, Dongchao Wu, Jian Yang, Zhanbang Zhang, Yuansen Chen, and Shizhen Zhao. “Avoid Routing Polarization for OCS-based GPU Clusters.” Journal of Optical Communications and Networking, 2026. [Preprint]
  3. 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]
  4. 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.” 23rd USENIX Symposium on Networked Systems Design and Implementation (NSDI ‘26), 2026. [Paper]
  5. 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.” Accepted by INFOCOM ‘26, 2025. [Preprint]
  6. Ximeng Liu, Zhuoran Liu, Yingming Mao, Yatao Li, Shizhen Zhao, and Xinbing Wang. “Geminet: Learning the Duality-based Topology-Agnostic Update Operator for Lightweight Traffic Engineering in Changing Topologies.” 23rd USENIX Symposium on Networked Systems Design and Implementation (NSDI ‘26), 2026. [Paper]

Journal Articles (Power Systems)

  1. Yingming Mao, Yuzhou Zhou, Qiaozhu Zhai, Jiexing Zhao, Xiaoyu Cao, Lei Wu, and Xiaohong Guan. “Robust Capacity Planning of Hydrogen-Based Remote Microgrids with a Co-Optimized Daily Service Window.” Applied Energy, Vol. 426, 128686, 2026. [Publisher] [Free access until Oct. 9, 2026] [Preprint]
  2. 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.
  3. 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