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Data generation method for power system operation considering geographical correlations and actual operation characteristics

Published in Energy Reports, 2023

A data generation method for power systems that accounts for geographical correlations.

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A Fast Solver-Free Algorithm for Traffic Engineering in Large-Scale Data Center Network

Published in arXiv (Accepted by NSDI), 2025

This paper proposes a fast solver-free algorithm to address TE problems in large-scale DCNs.

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ATRO: A Fast Algorithm for Topology Engineering of Reconfigurable Datacenter Networks

Published in arXiv (Accepted by INFOCOM), 2025

This paper presents ATRO, a fast algorithm designed for topology engineering in reconfigurable DCNs.

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Duonet: Learning the Duality-based Topology-Agnostic Update Operator for Lightweight Traffic Engineering in Changing Topologies

Published in arXiv (Accepted by NSDI '26), 2025

Duonet learns a topology-agnostic update operator enabling lightweight traffic engineering under changing data center network topologies.

NeuroRisk: Physics-Informed Neural Optimization for Risk-Aware Traffic Engineering

Published in arXiv, 2026

NeuroRisk is a physics-informed deep unrolled optimizer for risk-aware traffic engineering under correlated WAN failures.

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Data generation method for power system operation considering geographical correlations and actual operation characteristics

Published: December 02, 2022

I am honored to have received the Best Oral Presentation Award at the 1th International Conference on Frontiers of Energy and Environment Engineering (CFEEE 2022).