68 citations · 145 across the 11 of their papers we have counts for
12 papers
A Smoothed Analysis of Online Lasso for the Sparse Linear Contextual Bandit Problem
Zhiyuan Liu, Huazheng Wang, Bo Waggoner +3
We investigate the sparse linear contextual bandit problem where the parameter is sparse. To relieve the sampling inefficiency, we utilize the "perturbed adversary" where the c…
Multi-Level Optimal Power Flow Solver in Large Distribution Networks
Xinyang Zhou, Yue Chen, Zhiyuan Liu +2
Solving optimal power flow (OPF) problems for large distribution networks incurs high computational complexity. We consider a large multi-phase distribution network of tree topolog…
Incentivized Exploration for Multi-Armed Bandits under Reward Drift
Zhiyuan Liu, Huazheng Wang, Fan Shen +2
We study incentivized exploration for the multi-armed bandit (MAB) problem where the players receive compensation for exploring arms other than the greedy choice and may provide bi…
Towards Scalable Koopman Operator Learning: Convergence Rates and A Distributed Learning Algorithm
Zhiyuan Liu, Guohui Ding, Lijun Chen +1
We propose an alternating optimization algorithm to the nonconvex Koopman operator learning problem for nonlinear dynamic systems. We show that the proposed algorithm will converge…
Gradient-Based Multi-Area Distribution System State Estimation
Xinyang Zhou, Zhiyuan Liu, Yi Guo +3
The increasing distributed and renewable energy resources and controllable devices in distribution systems make fast distribution system state estimation (DSSE) crucial in system m…
Accelerated Voltage Regulation in Multi-Phase Distribution Networks Based on Hierarchical Distributed Algorithm
Xinyang Zhou, Zhiyuan Liu, Changhong Zhao +1
We propose a hierarchical distributed algorithm to solve optimal power flow (OPF) problems that aim at dispatching controllable distributed energy resources (DERs) for voltage regu…
Signal-Anticipation in Local Voltage Control in Distribution Systems
Zhiyuan Liu, Seungil You, Xinyang Zhou +2
We consider the signal-anticipating behavior in local Volt/Var control for distribution systems. Such a behavior makes interaction among the nodes a game. We characterize Nash equi…
Hierarchical Distributed Voltage Regulation in Networked Autonomous Grids
Xinyang Zhou, Zhiyuan Liu, Wenbo Wang +3
We propose a novel algorithm to solve optimal power flow (OPF) that aims at dispatching controllable distributed energy resources (DERs) for voltage regulation at minimum cost. The…
Reverse and Forward Engineering of Local Voltage Control in Distribution Networks
Xinyang Zhou, Masoud Farivar, Zhiyuan Liu +2
The increasing penetration of renewable and distributed energy resources in distribution networks calls for real-time and distributed voltage control. In this paper we investigate…
Decomposition of Nonlinear Dynamical Systems Using Koopman Gramians
Zhiyuan Liu, Soumya Kundu, Lijun Chen +1
In this paper we propose a new Koopman operator approach to the decomposition of nonlinear dynamical systems using Koopman Gramians. We introduce the notion of an input-Koopman ope…
A Koopman Operator Approach for Computing and Balancing Gramians for Discrete Time Nonlinear Systems
Enoch Yeung, Zhiyuan Liu, Nathan O. Hodas
In this paper, we consider the problem of quantifying controllability and observability of a nonlinear discrete time dynamical system. We introduce the Koopman operator as a canoni…
Stochastic Dual Algorithm for Voltage Regulation in Distribution Networks with Discrete Loads
Xinyang Zhou, Zhiyuan Liu, Emiliano Dall'Anese +1
This paper considers power distribution networks with distributed energy resources and designs an incentive-based algorithm that allows the network operator and customers to pursue…