CV
Yingming Mao
Ph.D. student in Control Science and Engineering
Summary
Ph.D. student at Xi'an Jiaotong University and Shanghai Innovation Institute focusing on AI infrastructure, large-scale network optimization, and intelligent power systems.
Education
- Control Science and EngineeringXi'an Jiaotong University & Shanghai Innovation Institute
- Automation2022Xi'an Jiaotong University
Skills
Data Center Networks
- Traffic engineering
- Topology engineering
- Reconfigurable networks
Power and Energy Systems
- Microgrid management
- Optimal scheduling
- Power flow modeling
AI Infrastructure
- Large-scale network optimization
- Data generation for power systems
Publications
- NeuroRisk: Physics-Informed Neural Optimization for Risk-Aware Traffic Engineering2026arXiv preprint arXiv:2605.12862Physics-informed neural optimizer for risk-aware traffic engineering in WANs with correlated failure scenarios.
- A Fast Solver-Free Algorithm for Traffic Engineering in Large-Scale Data Center Network2025arXiv preprint arXiv:2504.04027 (accepted by NSDI '26)Algorithm for traffic engineering in large-scale data center networks without heavy solvers.
- ATRO: A Fast Algorithm for Topology Engineering of Reconfigurable Datacenter Networks2025arXiv preprint arXiv:2507.13717 (accepted by INFOCOM '26)Fast topology engineering approach for reconfigurable data center networks.
- Duonet: Learning the Duality-based Topology-Agnostic Update Operator for Lightweight Traffic Engineering in Changing Topologies2025Accepted by NSDI '26Topology-agnostic update operator enabling lightweight traffic engineering across changing topologies.
- A method for evaluating and improving linear power flow models in system with large fluctuations2023International Journal of Electrical Power & Energy SystemsEvaluation and improvement of linear power flow models for systems with large fluctuations.
- Data generation method for power system operation considering geographical correlations and actual operation characteristics2023Energy ReportsData generation approach for power system operations that captures spatial correlations and real-world characteristics.
Interests
- Data center networks
- Microgrid management
- Power system analysis