activity
20182026
most citedData Based Linearization: Least-Squares Based Approximation

52 citations · 130 across the 15 of their papers we have counts for

collaborators

15 papers

cs.NI2026

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

Yingming Mao, Ximeng Liu, Jingyi Cheng +8

In production Wide-Area Networks (WANs), correlated failures dominate availability losses, forcing operators to reserve large safety margins that leave substantial capacity underut…

cs.LG2025

OPBO: Order-Preserving Bayesian Optimization

Wei Peng, Jianchen Hu, Kang Liu +1

Bayesian optimization is an effective method for solving expensive black-box optimization problems. Most existing methods use Gaussian processes (GP) as the surrogate model for app…

cs.NI2025★ 1 cited

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

Yingming Mao, Qiaozhu Zhai, Ximeng Liu +6

Reconfigurable data center networks (DCNs) enhance traditional architectures with optical circuit switches (OCSs), enabling dynamic reconfiguration of inter-pod links, i.e., the lo…

cs.NI2025

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

Yingming Mao, Qiaozhu Zhai, Ximeng Liu +3

Rapid growth of data center networks (DCNs) poses significant challenges for large-scale traffic engineering (TE). Existing acceleration strategies, which rely on commercial solver…

eess.SY2025

Robust Co-Optimization of Distribution Network Hardening and Mobile Resource Scheduling with Decision-Dependent Uncertainty

Donglai Ma, Xiaoyu Cao, Bo Zeng +4

This paper studies the robust co-planning of proactive network hardening and mobile hydrogen energy resources (MHERs) scheduling, which is to enhance the resilience of power distri…

eess.SY2025

Proactive Robust Hardening of Resilient Power Distribution Network: Decision-Dependent Uncertainty Modeling and Fast Solution Strategy

Donglai Ma, Xiaoyu Cao, Bo Zeng +4

To address the power system hardening problem, traditional approaches often adopt robust optimization (RO) that considers a fixed set of concerned contingencies, regardless of the…

math.OC2024★ 31 cited

Stochastic-Robust Planning of Networked Hydrogen-Electrical Microgrids: A Study on Induced Refueling Demand

Xunhang Sun, Xiaoyu Cao, Bo Zeng +3

Hydrogen-electrical microgrids are increasingly assuming an important role on the pathway toward decarbonization of energy and transportation systems. This paper studies networked…

math.OC2023

Robust Approximate Dynamic Programming for Large-scale Unit Commitment with Energy Storages

Yu Lan, Qiaozhu Zhai, Xiaoming Liu +1

The multistage robust unit commitment (UC) is of paramount importance for achieving reliable operations considering the uncertainty of renewable realizations. The typical affine de…

math.OC2022★ 5 cited

A Fast Solution Method for Large-scale Unit Commitment Based on Lagrangian Relaxation and Dynamic Programming

Jiangwei Hou, Qiaozhu Zhai, Yuzhou Zhou +1

The unit commitment problem (UC) is crucial for the operation and market mechanism of power systems. With the development of modern electricity, the scale of power systems is expan…

eess.SY2021

A General Formulation for Evaluating the Performance of Linear Power Flow Models

Zhentong Shao, Qiaozhu Zhai, Xiaohong Guan

Linear power flow (LPF) models are essential in power system analysis. Various LPF models are proposed, but some crucial questions are still remained: what is the performance bound…

eess.SY2020★ 52 cited

Data Based Linearization: Least-Squares Based Approximation

hentong Shao, Qiaozhu Zhai, Jiang Wu +1

Linearization of power flow is an important topic in power system analysis. The computational burden can be greatly reduced under the linear power flow model while the model error…

cs.DS2019★ 39 cited

A Memory-Efficient Sketch Method for Estimating High Similarities in Streaming Sets

Pinghui Wang, Yiyan Qi, Yuanming Zhang +4

Estimating set similarity and detecting highly similar sets are fundamental problems in areas such as databases, machine learning, and information retrieval. MinHash is a well-know…

math.OC2018★ 1 cited

A Variable Reduction Method for Large-Scale Security Constrained Unit Commitment

Xuan Li, Qiaozhu Zhai, Jingxuan Zhou +1

Efficient methods for large-scale security constrained unit commitment (SCUC) problems have long been an important research topic and a challenge especially in market clearing comp…

math.OC2018

Multi-Stage Robust Transmission Constrained Unit Commitment: A Decomposition Framework with Implicit Decision Rules

Xuan Li, Qiaozhu Zhai, Xiaohong Guan

With the integration of large-scale renewable energy sources to power systems, many optimization methods have been applied to solve the stochastic/uncertain transmission-constraine…

math.OC2018★ 1 cited

Robust Transmission Constrained Unit Commitment:A Column Merging Method

Xuan Li, Qiaozhu Zhai, Xiaohong Guan

With rapid integration of power sources with uncertainty, robustness must be carefully considered in the transmission constrained unit commitment (TCUC) problem. The overall comput…