Baosen Zhang - RankMe

166 papers A* 2B 1C 8Misc 4Journal 119Unranked 32

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Convexity and Optimal Online Control of Grid-Interfacing Converters with Current Limits. CoRR Lauren Streitmatter, Trager Joswig-Jones, Baosen Zhang
2026	J	`jnl`	Resource Allocation in Electricity Markets with Budget Constrained Customers. CoRR Lila Perkins, Baosen Zhang
2026	J	`jnl`	Safe Trajectory Gradient Flow Control of a Grid-Interfacing Inverter. CoRR Trager Joswig-Jones, Baosen Zhang
2026	J	`jnl`	Switching-Reference Voltage Control for Distribution Systems with AI-Training Data Centers. CoRR Mingyuan Yan, Trager Joswig-Jones, Baosen Zhang, Yize Chen, Wenqi Cui
2025	—	`conf`	Adaptive Pricing for Optimal Coordination in Networked Energy Systems with Nonsmooth Cost Functions. CDC Jiayi Li, Jiale Wei, Matthew Motoki, Yan Jiang, Baosen Zhang
2025	J	`jnl`	Adaptive Pricing for Optimal Coordination in Networked Energy Systems with Nonsmooth Cost Functions. CoRR Jiayi Li, Jiale Wei, Matthew Motoki, Yan Jiang, Baosen Zhang
2025	J	`jnl`	FREESH: Fair, Resource- and Energy-Efficient Scheduling for LLM Serving on Heterogeneous GPUs. CoRR Xuan He, Zequan Fang, Jinzhao Lian, Danny H. K. Tsang, Baosen Zhang, Yize Chen
2025	—	`conf`	Fast and Reliable N - k Contingency Screening with Input-Convex Neural Networks. L4DC Nicolas Christianson, Wenqi Cui, Steven H. Low, Weiwei Yang, Baosen Zhang
2025	J	`jnl`	Flow-CDNet: A Novel Network for Detecting Both Slow and Fast Changes in Bitemporal Images. CoRR Haoxuan Li, Chenxu Wei, Haodong Wang, Xiaomeng Hu, Boyuan An, Lingyan Ran, Baosen Zhang, Jin Jin, Omirzhan Taukebayev, Amirkhan Temirbayev, Junrui Liu, Xiuwei Zhang
2025	J	`jnl`	Geometry of the Feasible Output Regions of Grid-Interfacing Inverters With Current Limits. IEEE Control. Syst. Lett. Lauren Streitmatter, Trager Joswig-Jones, Baosen Zhang
2025	J	`jnl`	Geometry of the Feasible Output Regions of Grid-Interfacing Inverters with Current Limits. CoRR Lauren Streitmatter, Trager Joswig-Jones, Baosen Zhang
2025	J	`jnl`	Inverter Control with Time-Varying and Nonconvex State and Input Constraints. CoRR Zixiao Ma, Baosen Zhang
2025	J	`jnl`	Leveraging Predictions in Power System Voltage Control: An Adaptive Approach. CoRR Wenqi Cui, Yiheng Xie, Steven H. Low, Adam Wierman, Baosen Zhang
2025	J	`jnl`	Optimal Voltage Control Using Online Exponential Barrier Method. CoRR Peng Zhang, Baosen Zhang
2025	—	`conf`	Safe Control of Grid-Interfacing Inverters with Current Magnitude Limits. HICSS Trager Joswig-Jones, Baosen Zhang
2025	J	`jnl`	Voltage Regulation in Distribution Systems with Data Center Loads. CoRR Yize Chen, Baosen Zhang
2024	J	`jnl`	Balancing Fairness and Efficiency in Energy Resource Allocations. CoRR Jiayi Li, Matthew Motoki, Baosen Zhang
2024	J	`jnl`	Fast and Reliable N-k Contingency Screening with Input-Convex Neural Networks. CoRR Nicolas Christianson, Wenqi Cui, Steven H. Low, Weiwei Yang, Baosen Zhang
2024	J	`jnl`	Online Voltage Regulation of Distribution Systems with Disturbance-Action Controllers. CoRR Peng Zhang, Baosen Zhang
2024	—	`conf`	Optimal Control of Grid-Interfacing Inverters with Current Magnitude Limits. CDC Trager Joswig-Jones, Baosen Zhang
2024	J	`jnl`	Oscillations-Aware Frequency Security Assessment via Efficient Worst-Case Frequency Nadir Computation. CoRR Yan Jiang, Hancheng Min, Baosen Zhang
2024	J	`jnl`	Safe Control of Grid-Interfacing Inverters with Current Magnitude Limits. CoRR Trager Joswig-Jones, Baosen Zhang
2024	J	`jnl`	Strategic and Fair Aggregator Interactions in Energy Markets: Mutli-agent Dynamics and Quasiconcave Games. CoRR Jiayi Li, Matthew Motoki, Baosen Zhang
2023	J	`jnl`	An Efficient Learning-Based Solver for Two-Stage DC Optimal Power Flow with Feasibility Guarantees. CoRR Ling Zhang, Daniel Tabas, Baosen Zhang
2023	J	`jnl`	Controlling Grid-Connected Inverters under Time-Varying Voltage Constraints. CoRR Zixiao Ma, Baosen Zhang
2023	J	`jnl`	Convex Restriction of Feasible Sets for AC Radial Networks. CoRR Ling Zhang, Daniel Tabas, Baosen Zhang
2023	—	`conf`	Efficient Reinforcement Learning Through Trajectory Generation. L4DC Wenqi Cui, Linbin Huang, Weiwei Yang, Baosen Zhang
2023	—	`conf`	Equilibria of Fully Decentralized Learning in Networked Systems. L4DC Yan Jiang, Wenqi Cui, Baosen Zhang, Jorge Cortés
2023	J	`jnl`	Equilibria of Fully Decentralized Learning in Networked Systems. CoRR Yan Jiang, Wenqi Cui, Baosen Zhang, Jorge Cortés
2023	J	`jnl`	FastICENet: A real-time and accurate semantic segmentation model for aerial remote sensing river ice image. Signal Process. Xiuwei Zhang, Zixu Zhao, Lingyan Ran, Yinghui Xing, Wenna Wang, Zeze Lan, Hanlin Yin, Houjun He, Qixing Liu, Baosen Zhang, Yanning Zhang
2023	—	`conf`	Interpreting Primal-Dual Algorithms for Constrained Multiagent Reinforcement Learning. L4DC Daniel Tabas, Ahmed S. Zamzam, Baosen Zhang
2023	—	`conf`	Leveraging Predictions in Power System Frequency Control: An Adaptive Approach. CDC Wenqi Cui, Guanya Shi, Yuanyuan Shi, Baosen Zhang
2023	J	`jnl`	Leveraging Predictions in Power System Frequency Control: an Adaptive Approach. CoRR Wenqi Cui, Guanya Shi, Yuanyuan Shi, Baosen Zhang
2023	J	`jnl`	Morphology Dynamics of Ice Cover in a River Bend Revealed by the UAV-GPR and Sentinel-2. Remote. Sens. Chunjiang Li, Zhijun Li, Wenfeng Huang, Baosen Zhang, Yu Deng, Guoyu Li
2023	J	`jnl`	Optimal Control of Grid-Interfacing Inverters With Current Magnitude Limits. CoRR Trager Joswig-Jones, Baosen Zhang
2023	J	`jnl`	Physical Mechanism and Parameterization for Correcting Radar Wave Velocity in Yellow River Ice with Air Temperature and Ice Thickness. Remote. Sens. Zhijun Li, Chunjiang Li, Yu Yang, Baosen Zhang, Yu Deng, Guoyu Li
2023	J	`jnl`	Socially Optimal Energy Usage via Adaptive Pricing. CoRR Jiayi Li, Matthew Motoki, Baosen Zhang
2023	J	`jnl`	Solving Differential-Algebraic Equations in Power Systems Dynamics with Neural Networks and Spatial Decomposition. CoRR Jochen Stiasny, Spyros Chatzivasileiadis, Baosen Zhang
2023	A*	`conf`	Structured Neural-PI Control with End-to-End Stability and Output Tracking Guarantees. NeurIPS Wenqi Cui, Yan Jiang, Baosen Zhang, Yuanyuan Shi
2023	J	`jnl`	Structured Neural-PI Control with End-to-End Stability and Output Tracking Guarantees. CoRR Wenqi Cui, Yan Jiang, Baosen Zhang, Yuanyuan Shi
2022	J	`jnl`	A Capacity-Price Game for Uncertain Renewables Resources. IEEE Trans. Sustain. Comput. Pan Li, Shreyas Sekar, Baosen Zhang
2022	J	`jnl`	A Convex Neural Network Solver for DCOPF With Generalization Guarantees. IEEE Trans. Control. Netw. Syst. Ling Zhang, Yize Chen, Baosen Zhang
2022	—	`conf`	An iterative approach to improving solution quality for AC optimal power flow problems. e-Energy Ling Zhang, Baosen Zhang
2022	C	`conf`	Computationally Efficient Safe Reinforcement Learning for Power Systems. ACC Daniel Tabas, Baosen Zhang
2022	J	`jnl`	Cyber-Physical Attack Leveraging Subsynchronous Resonance. CoRR Bosong Li, Baosen Zhang, Daniel S. Kirschen
2022	J	`jnl`	Data-Driven Modeling of Aggregate Flexibility Under Uncertain and Non-Convex Device Models. IEEE Trans. Smart Grid Sina Taheri, Vassilis Kekatos, Sriharsha Veeramachaneni, Baosen Zhang
2022	J	`jnl`	Data-Driven Modeling of Aggregate Flexibility under Uncertain and Non-Convex Load Models. CoRR Sina Taheri, Vassilis Kekatos, Harsha Veeramachaneni, Baosen Zhang
2022	C	`conf`	Decentralized Safe Reinforcement Learning for Voltage Control. ACC Wenqi Cui, Jiayi Li, Baosen Zhang
2022	J	`jnl`	Dynamic and Full-Time Acquisition Technology and Method of Ice Data of Yellow River. Sensors Yu Deng, Chunjiang Li, Zhijun Li, Baosen Zhang
2022	J	`jnl`	Efficient Reinforcement Learning Through Trajectory Generation. CoRR Wenqi Cui, Linbin Huang, Weiwei Yang, Baosen Zhang
2022	J	`jnl`	Equilibrium-Independent Stability Analysis for Distribution Systems With Lossy Transmission Lines. IEEE Control. Syst. Lett. Wenqi Cui, Baosen Zhang
2022	J	`jnl`	Equilibrium-Independent Stability Analysis for Distribution Systems with Lossy Transmission Lines. CoRR Wenqi Cui, Baosen Zhang
2022	J	`jnl`	Interpreting Primal-Dual Algorithms for Constrained MARL. CoRR Daniel Tabas, Ahmed S. Zamzam, Baosen Zhang
2022	J	`jnl`	Lyapunov-Regularized Reinforcement Learning for Power System Transient Stability. IEEE Control. Syst. Lett. Wenqi Cui, Baosen Zhang
2022	J	`jnl`	Optimal Inverter-Based Resources Placement in Low-Inertia Power Systems. CoRR Atinuke Ademola-Idowu, Baosen Zhang
2022	—	`conf`	Safe and Efficient Model Predictive Control Using Neural Networks: An Interior Point Approach. CDC Daniel Tabas, Baosen Zhang
2022	J	`jnl`	Safe and Efficient Model Predictive Control Using Neural Networks: An Interior Point Approach. CoRR Daniel Tabas, Baosen Zhang
2022	J	`jnl`	Stable Reinforcement Learning for Optimal Frequency Control: A Distributed Averaging-Based Integral Approach. CoRR Yan Jiang, Wenqi Cui, Baosen Zhang, Jorge Cortés
2022	J	`jnl`	Structured Neural-PI Control for Networked Systems: Stability and Steady-State Optimality Guarantees. CoRR Wenqi Cui, Yan Jiang, Baosen Zhang, Yuanyuan Shi
2021	J	`jnl`	An Iterative Approach to Finding Global Solutions of AC Optimal Power Flow Problems. CoRR Ling Zhang, Baosen Zhang
2021	J	`jnl`	An Iterative Approach to Improving Solution Quality for AC Optimal Power Flow Problems. CoRR Ling Zhang, Baosen Zhang
2021	J	`jnl`	Computationally Efficient Safe Reinforcement Learning for Power Systems. CoRR Daniel Tabas, Baosen Zhang
2021	J	`jnl`	Decentralized Safe Reinforcement Learning for Voltage Control. CoRR Wenqi Cui, Jiayi Li, Baosen Zhang
2021	J	`jnl`	Learning to Solve the AC Optimal Power Flow via a Lagrangian Approach. CoRR Ling Zhang, Baosen Zhang
2021	J	`jnl`	Lyapunov-Regularized Reinforcement Learning for Power System Transient Stability. CoRR Wenqi Cui, Baosen Zhang
2021	J	`jnl`	Predicting Power System Dynamics and Transients: A Frequency Domain Approach. CoRR Wenqi Cui, Weiwei Yang, Baosen Zhang
2021	—	`conf`	Safe Reinforcement Learning of Control-Affine Systems with Vertex Networks. L4DC Liyuan Zheng, Yuanyuan Shi, Lillian J. Ratliff, Baosen Zhang
2021	J	`jnl`	State-of-Charge Aware EV Charging. CoRR Yize Chen, Baosen Zhang
2021	—	`conf`	Vulnerabilities of Power System Operations to Load Forecasting Data Injection Attacks. SmartGridComm Yize Chen, Yushi Tan, Ling Zhang, Baosen Zhang
2020	J	`jnl`	A Convex Neural Network Solver for DCOPF with Generalization Guarantees. CoRR Ling Zhang, Yize Chen, Baosen Zhang
2020	J	`jnl`	A Geometric Analysis of Power System Loadability Regions. IEEE Trans. Smart Grid Yang Weng, Ram Rajagopal, Baosen Zhang
2020	J	`jnl`	Consensus-Based Set-Theoretic Control in Power Systems. CoRR Daniel Tabas, Baosen Zhang
2020	J	`jnl`	Fast Calculation of Probabilistic Power Flow: A Model-Based Deep Learning Approach. IEEE Trans. Smart Grid Yan Yang, Zhifang Yang, Juan Yu, Baosen Zhang, Youqiang Zhang, Hongxin Yu
2020	J	`jnl`	Low-Carbon Operation of Multiple Energy Systems Based on Energy-Carbon Integrated Prices. IEEE Trans. Smart Grid Yaohua Cheng, Ning Zhang, Baosen Zhang, Chongqing Kang, Weimin Xi, Mengshuang Feng
2020	J	`jnl`	Modeling Curbside Parking as a Network of Finite Capacity Queues. IEEE Trans. Intell. Transp. Syst. Chase P. Dowling, Lillian J. Ratliff, Baosen Zhang
2020	—	`conf`	Multi-Agent Reinforcement Learning in Cournot Games. CDC Yuanyuan Shi, Baosen Zhang
2020	J	`jnl`	Multi-Agent Reinforcement Learning in Cournot Games. CoRR Yuanyuan Shi, Baosen Zhang
2020	J	`jnl`	Reinforcement Learning for Optimal Frequency Control: A Lyapunov Approach. CoRR Wenqi Cui, Baosen Zhang
2020	J	`jnl`	Safe Reinforcement Learning of Control-Affine Systems with Vertex Networks. CoRR Liyuan Zheng, Yuanyuan Shi, Lillian J. Ratliff, Baosen Zhang
2020	J	`jnl`	Scenario Forecasting of Residential Load Profiles. IEEE J. Sel. Areas Commun. Ling Zhang, Baosen Zhang
2020	C	`conf`	Transfer Learning for HVAC System Fault Detection. ACC Chase P. Dowling, Baosen Zhang
2020	J	`jnl`	Transfer Learning for HVAC System Fault Detection. CoRR Chase P. Dowling, Baosen Zhang
2020	J	`jnl`	Uncertainty in Multicommodity Routing Networks: When Does It Help? IEEE Trans. Autom. Control. Shreyas Sekar, Liyuan Zheng, Lillian J. Ratliff, Baosen Zhang
2019	J	`jnl`	A Distributed Online Pricing Strategy for Demand Response Programs. IEEE Trans. Smart Grid Pan Li, Hao Wang, Baosen Zhang
2019	C	`conf`	A tractable ellipsoidal approximation for voltage regulation problems. ACC Pan Li, Baihong Jin, Ruoxuan Xiong, Dai Wang, Alberto L. Sangiovanni-Vincentelli, Baosen Zhang
2019	J	`jnl`	A tractable ellipsoidal approximation for voltage regulation problems. CoRR Pan Li, Baihong Jin, Ruoxuan Xiong, Dai Wang, Alberto L. Sangiovanni-Vincentelli, Baosen Zhang
2019	J	`jnl`	Competition and Efficiency of Coalitions in Cournot Games With Uncertainty. IEEE Trans. Control. Netw. Syst. Baosen Zhang, Ramesh Johari, Ram Rajagopal
2019	—	`conf`	Exploiting Vulnerabilities of Load Forecasting Through Adversarial Attacks. e-Energy Yize Chen, Yushi Tan, Baosen Zhang
2019	J	`jnl`	Exploiting Vulnerabilities of Load Forecasting Through Adversarial Attacks. CoRR Yize Chen, Yushi Tan, Baosen Zhang
2019	J	`jnl`	Fast Calculation of Probabilistic Power Flow: A Model-based Deep Learning Approach. CoRR Yan Yang, Zhifang Yang, Juan Yu, Baosen Zhang
2019	J	`jnl`	Frequency Stability Using Inverter Power Control in Low-Inertia Power Systems. CoRR Atinuke Ademola-Idowu, Baosen Zhang
2019	J	`jnl`	Learning in Cournot Games with Limited Information Feedback. CoRR Yuanyuan Shi, Baosen Zhang
2019	—	`conf`	Mitigation of Coincident Peak Charges via Approximate Dynamic Programming. CDC Chase P. Dowling, Baosen Zhang
2019	J	`jnl`	Optimal Battery Control Under Cycle Aging Mechanisms in Pay for Performance Settings. IEEE Trans. Autom. Control. Yuanyuan Shi, Bolun Xu, Yushi Tan, Daniel S. Kirschen, Baosen Zhang
2019	—	`conf`	Optimal Control Via Neural Networks: A Convex Approach. ICLR (Poster) Yize Chen, Yuanyuan Shi, Baosen Zhang
2019	J	`jnl`	Optimal L-Infinity Frequency Control in Microgrids Considering Actuator Saturation. CoRR Daniel Tabas, Baosen Zhang
2019	J	`jnl`	Participation of an Energy Storage Aggregator in Electricity Markets. IEEE Trans. Smart Grid Jesus E. Contreras-Ocaña, Miguel A. Ortega-Vazquez, Baosen Zhang
2019	J	`jnl`	Scenario Forecasting of Residential Load Profiles. CoRR Ling Zhang, Baosen Zhang
2018	—	`conf`	A Capacity-Price Game for Uncertain Renewables Resources. e-Energy Pan Li, Shreyas Sekar, Baosen Zhang
2018	J	`jnl`	A Capacity-Price Game for Uncertain Renewables Resources. CoRR Pan Li, Shreyas Sekar, Baosen Zhang
2018	C	`conf`	A Convex Cycle-based Degradation Model for Battery Energy Storage Planning and Operation. ACC Yuanyuan Shi, Bolun Xu, Yushi Tan, Baosen Zhang
2018	—	`conf`	An All-Digital True-Random-Number Generator with Integrated De-correlation and Bias Correction at 3.2-to-86 MB/S, 2.58 PJ/Bit in 65-NM CMOS. VLSI Circuits Rajesh Pamula, Xun Sun, Sung Kim, Fahim ur Rahman, Baosen Zhang, Visvesh S. Sathe
2018	J	`jnl`	Bayesian Renewables Scenario Generation via Deep Generative Networks. CoRR Yize Chen, Pan Li, Baosen Zhang
2018	Misc	`conf`	Bayesian renewables scenario generation via deep generative networks. CISS Yize Chen, Pan Li, Baosen Zhang
2018	—	`conf`	Coincident Peak Prediction Using a Feed-Forward Neural Network. GlobalSIP Chase P. Dowling, Daniel S. Kirschen, Baosen Zhang
2018	C	`conf`	Data Driven Spatio-Temporal Modeling of Parking Demand. ACC Tanner Fiez, Lillian J. Ratliff, Chase Dowling, Baosen Zhang
2018	J	`jnl`	Optimal Design of Virtual Inertia and Damping Coefficients for Virtual Synchronous Machines. CoRR Atinuke Ademola-Idowu, Baosen Zhang
2018	J	`jnl`	Power Flow as Intersection of Circles: A new Fixed Point Method. CoRR Kishan Prudhvi Guddanti, Yang Weng, Baosen Zhang
2018	J	`jnl`	Real-Time Prediction of the Duration of Distribution System Outages. CoRR Aaron Jaech, Baosen Zhang, Mari Ostendorf, Daniel S. Kirschen
2018	C	`conf`	Uncertainty in Multi-Commodity Routing Networks: When does it help? ACC Shreyas Sekar, Liyuan Zheng, Lillian J. Ratliff, Baosen Zhang
2017	J	`jnl`	A Convex Cycle-based Degradation Model for Battery Energy Storage Planning and Operation. CoRR Yuanyuan Shi, Bolun Xu, Yushi Tan, Baosen Zhang
2017	J	`jnl`	A Distributed Online Pricing Strategy for Demand Response Programs. CoRR Pan Li, Hao Wang, Baosen Zhang
2017	J	`jnl`	An Online Optimization Algorithm for Alleviating Contingencies in Meshed Networks. CoRR Nicolò Mazzi, Baosen Zhang, Daniel S. Kirschen
2017	J	`jnl`	Blocking Transferability of Adversarial Examples in Black-Box Learning Systems. CoRR Hossein Hosseini, Yize Chen, Sreeram Kannan, Baosen Zhang, Radha Poovendran
2017	J	`jnl`	Deceiving Google's Perspective API Built for Detecting Toxic Comments. CoRR Hossein Hosseini, Sreeram Kannan, Baosen Zhang, Radha Poovendran
2017	J	`jnl`	Distribution System Voltage Control under Uncertainties. CoRR Pan Li, Baosen Zhang
2017	Misc	`conf`	Distribution system voltage control under uncertainties. ACSSC Pan Li, Baosen Zhang
2017	J	`jnl`	Energy Storage Arbitrage in Real-Time Markets Via Reinforcement Learning. CoRR Hao Wang, Baosen Zhang
2017	J	`jnl`	Geometric Understanding of the Stability of Power Flow Solutions. CoRR Yang Weng, Ram Rajagopal, Baosen Zhang
2017	J	`jnl`	Guest Editorial Distributed Control and Efficient Optimization Methods for Smart Grid. IEEE Trans. Smart Grid Javad Lavaei, Steven H. Low, Ross Baldick, Baosen Zhang, Daniel K. Molzahn, Florian Dörfler, Henrik Sandberg
2017	J	`jnl`	How Much Urban Traffic is Searching for Parking? CoRR Chase Dowling, Tanner Fiez, Lillian J. Ratliff, Baosen Zhang
2017	J	`jnl`	Linear Estimation of Treatment Effects in Demand Response: An Experimental Design Approach. CoRR Pan Li, Baosen Zhang
2017	J	`jnl`	Model-Free Renewable Scenario Generation Using Generative Adversarial Networks. CoRR Yize Chen, Yishen Wang, Daniel S. Kirschen, Baosen Zhang
2017	Misc	`conf`	Modeling and optimization of complex building energy systems with deep neural networks. ACSSC Yize Chen, Yuanyuan Shi, Baosen Zhang
2017	J	`jnl`	Non-Wire Alternatives to Capacity Expansion. CoRR Jesus E. Contreras-Ocaña, Uzma Siddiqi, Baosen Zhang
2017	A*	`conf`	Online Active Linear Regression via Thresholding. AAAI Carlos Riquelme, Ramesh Johari, Baosen Zhang
2017	J	`jnl`	Optimal Battery Control Under Cycle Aging Mechanisms. CoRR Yuanyuan Shi, Bolun Xu, Baosen Zhang
2017	—	`conf`	Optimal regulation response of batteries under cycle aging mechanisms. CDC Bolun Xu, Yuanyuan Shi, Daniel S. Kirschen, Baosen Zhang
2017	—	`conf`	Optimizing curbside parking resources subject to congestion constraints. CDC Chase Dowling, Tanner Fiez, Lillian J. Ratliff, Baosen Zhang
2017	J	`jnl`	Participation of an Energy Storage Aggregator in Electricity Markets. CoRR Jesus E. Contreras-Ocaña, Miguel A. Ortega-Vazquez, Baosen Zhang
2017	J	`jnl`	Uncertainty in Multi-Commodity Routing Networks: When does it help? CoRR Shreyas Sekar, Liyuan Zheng, Lillian J. Ratliff, Baosen Zhang
2017	J	`jnl`	Using Battery Storage for Peak Shaving and Frequency Regulation: Joint Optimization for Superlinear Gains. CoRR Yuanyuan Shi, Bolun Xu, Di Wang, Baosen Zhang
2016	J	`jnl`	An Optimal Treatment Assignment Strategy to Evaluate Demand Response Effect. CoRR Pan Li, Baosen Zhang
2016	—	`conf`	An optimal treatment assignment strategy to evaluate demand response effect. Allerton Pan Li, Baosen Zhang
2016	—	`conf`	Estimating treatment effects in demand response. SSP Pan Li, Baosen Zhang
2016	B	`conf`	Learning Temporal Dependence from Time-Series Data with Latent Variables. DSAA Hossein Hosseini, Sreeram Kannan, Baosen Zhang, Radha Poovendran
2016	J	`jnl`	Learning Temporal Dependence from Time-Series Data with Latent Variables. CoRR Hossein Hosseini, Sreeram Kannan, Baosen Zhang, Radha Poovendran
2016	—	`conf`	Leveraging energy storage to optimize data center electricity cost in emerging power markets. e-Energy Yuanyuan Shi, Bolun Xu, Baosen Zhang, Di Wang
2016	J	`jnl`	Leveraging energy storage to optimize data center electricity cost in emerging power markets. CoRR Yuanyuan Shi, Bolun Xu, Baosen Zhang, Di Wang
2016	J	`jnl`	Online Active Linear Regression via Thresholding. CoRR Carlos Riquelme, Ramesh Johari, Baosen Zhang
2016	J	`jnl`	To Observe or Not to Observe: Queuing Game Framework for Urban Parking. CoRR Lillian J. Ratliff, Chase Dowling, Eric Mazumdar, Baosen Zhang
2016	—	`conf`	To observe or not to observe: Queuing game framework for urban parking. CDC Lillian J. Ratliff, Chase Dowling, Eric Mazumdar, Baosen Zhang
2015	J	`jnl`	Autoregressive Model for Individual Consumption Data - LASSO Selection and Significance Test. CoRR Pan Li, Baosen Zhang, Yang Weng, Ram Rajagopal
2015	J	`jnl`	Competition and Coalition Formation of Renewable Power Producers. CoRR Baosen Zhang, Ramesh Johari, Ram Rajagopal
2015	J	`jnl`	Cooperation and Competition among Energy Storages. CoRR Jesus E. Contreras-Ocaña, Miguel A. Ortega-Vazquez, Baosen Zhang
2015	J	`jnl`	Cournot Games with Uncertainty: Coalitions, Competition, and Efficiency. CoRR Baosen Zhang, Ramesh Johari, Ram Rajagopal
2015	J	`jnl`	Stability of Interconnected DC Converters. CoRR Gustavo Cezar, Ram Rajagopal, Baosen Zhang
2015	—	`conf`	Stability of interconnected DC converters. CDC Gustavo Cezar, Ram Rajagopal, Baosen Zhang
2014	J	`jnl`	Network Risk Limiting Dispatch: Optimal Control and Price of Uncertainty. IEEE Trans. Autom. Control. Baosen Zhang, Ram Rajagopal, David N. C. Tse
2013	J	`jnl`	A Local Control Approach to Voltage Regulation in Distribution Networks. CoRR Baosen Zhang, Alejandro D. Domínguez-García, David Tse
2013	J	`jnl`	Aggregation for Load Servicing. CoRR Sid Patel, Raffi Sevlian, Baosen Zhang, Ram Rajagopal
2013	—	`conf`	Risk Limiting Dispatch in congested networks. CDC Baosen Zhang, Ram Rajagopal, David Tse
2013	J	`jnl`	Risk Limiting Dispatch with Ramping Constraints CoRR Junjie Qin, Baosen Zhang, Ram Rajagopal
2013	—	`conf`	Risk limiting dispatch with ramping constraints. SmartGridComm Junjie Qin, Baosen Zhang, Ram Rajagopal
2012	—	`conf`	Distributed algorithms for optimal power flow problem. CDC Albert Y. S. Lam, Baosen Zhang, David N. C. Tse
2012	J	`jnl`	Geometry of Power Flows in Tree Networks CoRR Javad Lavaei, David Tse, Baosen Zhang
2012	J	`jnl`	Network Risk Limiting Dispatch: Optimal Control and Price of Uncertainty CoRR Ram Rajagopal, Baosen Zhang, David Tse
2012	J	`jnl`	Optimal Distributed Voltage Regulation in Power Distribution Networks CoRR Albert Y. S. Lam, Baosen Zhang, Alejandro D. Domínguez-García, David Tse
2012	—	`conf`	Risk limiting dispatch in congested networks. Allerton Conference Ram Rajagopal, David Tse, Baosen Zhang
2011	J	`jnl`	Distributed Algorithms for Optimal Power Flow Problem CoRR Albert Y. S. Lam, Baosen Zhang, David Tse
2011	J	`jnl`	Distributed Storage for Intermittent Energy Sources: Control Design and Performance Limits CoRR Yashodhan Kanoria, Andrea Montanari, David Tse, Baosen Zhang
2011	—	`conf`	Distributed storage for intermittent energy sources: Control design and performance limits. Allerton Yashodhan Kanoria, Andrea Montanari, David Tse, Baosen Zhang
2011	J	`jnl`	Geometry of Feasible Injection Region of Power Networks CoRR Baosen Zhang, David Tse
2011	—	`conf`	Geometry of feasible injection region of power networks. Allerton Baosen Zhang, David Tse
2010	Misc	`conf`	Reference-free audio matching for rendezvous. ICASSP Baosen Zhang, Mitchell D. Trott
2008	C	`conf`	Delay-tolerant control design for Semiconductor Optical Amplifiers. ACC Baosen Zhang, Scott B. Kuntze, Lacra Pavel, J. Stewart Aitchison