Delay-tolerant control design for Semiconductor Optical Amplifiers. - Baosen Zhang; Scott B. Kuntze; Lacra Pavel; J. Stewart Aitchison (ACC, 2008)

Reference-free audio matching for rendezvous. - Baosen Zhang; Mitchell D. Trott (ICASSP, 2010)

Distributed storage for intermittent energy sources: Control design and performance limits. - Yashodhan Kanoria; Andrea Montanari; David Tse; Baosen Zhang (Allerton, 2011)

Geometry of feasible injection region of power networks. - Baosen Zhang; David Tse (Allerton, 2011)

Distributed algorithms for optimal power flow problem. - Albert Y. S. Lam; Baosen Zhang; David N. C. Tse (CDC, 2012)

Geometry of Power Flows in Tree Networks - Javad Lavaei; David Tse; Baosen Zhang (CoRR, 2012)

Optimal Distributed Voltage Regulation in Power Distribution Networks - Albert Y. S. Lam; Baosen Zhang; Alejandro D. Domínguez-García; David Tse (CoRR, 2012)

Risk Limiting Dispatch in congested networks. - Baosen Zhang; Ram Rajagopal; David Tse (CDC, 2013)

Risk limiting dispatch with ramping constraints. - Junjie Qin; Baosen Zhang; Ram Rajagopal (SmartGridComm, 2013)

Aggregation for Load Servicing. - Sid Patel; Raffi Sevlian; Baosen Zhang; Ram Rajagopal (CoRR, 2013)

A Local Control Approach to Voltage Regulation in Distribution Networks. - Baosen Zhang; Alejandro D. Domínguez-García; David Tse (CoRR, 2013)

Network Risk Limiting Dispatch: Optimal Control and Price of Uncertainty. - Baosen Zhang; Ram Rajagopal; David N. C. Tse (IEEE Trans. Autom. Control., 2014)

Stability of interconnected DC converters. - Gustavo Cezar; Ram Rajagopal; Baosen Zhang (CDC, 2015)

Cooperation and Competition among Energy Storages. - Jesus E. Contreras-Ocaña; Miguel A. Ortega-Vazquez; Baosen Zhang (CoRR, 2015)

Autoregressive Model for Individual Consumption Data - LASSO Selection and Significance Test. - Pan Li 004; Baosen Zhang; Yang Weng; Ram Rajagopal (CoRR, 2015)

Competition and Coalition Formation of Renewable Power Producers. - Baosen Zhang; Ramesh Johari; Ram Rajagopal (CoRR, 2015)

Cournot Games with Uncertainty: Coalitions, Competition, and Efficiency. - Baosen Zhang; Ramesh Johari; Ram Rajagopal (CoRR, 2015)

An optimal treatment assignment strategy to evaluate demand response effect. - Pan Li 004; Baosen Zhang (Allerton, 2016)

To observe or not to observe: Queuing game framework for urban parking. - Lillian J. Ratliff; Chase Dowling; Eric Mazumdar; Baosen Zhang (CDC, 2016)

Learning Temporal Dependence from Time-Series Data with Latent Variables. - Hossein Hosseini; Sreeram Kannan; Baosen Zhang; Radha Poovendran (DSAA, 2016)

Leveraging energy storage to optimize data center electricity cost in emerging power markets. - Yuanyuan Shi; Bolun Xu; Baosen Zhang; Di Wang 003 (e-Energy, 2016)

Estimating treatment effects in demand response. - Pan Li 004; Baosen Zhang (SSP, 2016)

Online Active Linear Regression via Thresholding. - Carlos Riquelme; Ramesh Johari; Baosen Zhang (AAAI, 2017)

Modeling and optimization of complex building energy systems with deep neural networks. - Yize Chen; Yuanyuan Shi; Baosen Zhang (ACSSC, 2017)

Distribution system voltage control under uncertainties. - Pan Li 004; Baosen Zhang (ACSSC, 2017)

Optimizing curbside parking resources subject to congestion constraints. - Chase Dowling; Tanner Fiez; Lillian J. Ratliff; Baosen Zhang (CDC, 2017)

Optimal regulation response of batteries under cycle aging mechanisms. - Bolun Xu; Yuanyuan Shi; Daniel S. Kirschen; Baosen Zhang (CDC, 2017)

Model-Free Renewable Scenario Generation Using Generative Adversarial Networks. - Yize Chen; Yishen Wang; Daniel S. Kirschen; Baosen Zhang (CoRR, 2017)

How Much Urban Traffic is Searching for Parking? - Chase Dowling; Tanner Fiez; Lillian J. Ratliff; Baosen Zhang (CoRR, 2017)

Blocking Transferability of Adversarial Examples in Black-Box Learning Systems. - Hossein Hosseini; Yize Chen; Sreeram Kannan; Baosen Zhang; Radha Poovendran (CoRR, 2017)

Deceiving Google's Perspective API Built for Detecting Toxic Comments. - Hossein Hosseini; Sreeram Kannan; Baosen Zhang; Radha Poovendran (CoRR, 2017)

Linear Estimation of Treatment Effects in Demand Response: An Experimental Design Approach. - Pan Li 004; Baosen Zhang (CoRR, 2017)

Using Battery Storage for Peak Shaving and Frequency Regulation: Joint Optimization for Superlinear Gains. - Yuanyuan Shi; Bolun Xu; Di Wang 003; Baosen Zhang (CoRR, 2017)

Geometric Understanding of the Stability of Power Flow Solutions. - Yang Weng; Ram Rajagopal; Baosen Zhang (CoRR, 2017)

An Online Optimization Algorithm for Alleviating Contingencies in Meshed Networks. - Nicolò Mazzi; Baosen Zhang; Daniel S. Kirschen (CoRR, 2017)

Optimal Battery Control Under Cycle Aging Mechanisms. - Yuanyuan Shi; Bolun Xu; Baosen Zhang (CoRR, 2017)

Non-Wire Alternatives to Capacity Expansion. - Jesus E. Contreras-Ocaña; Uzma Siddiqi; Baosen Zhang (CoRR, 2017)

Energy Storage Arbitrage in Real-Time Markets Via Reinforcement Learning. - Hao Wang 016; Baosen Zhang (CoRR, 2017)

Guest Editorial Distributed Control and Efficient Optimization Methods for Smart Grid. - Javad Lavaei; Steven H. Low; Ross Baldick; Baosen Zhang; Daniel K. Molzahn; Florian Dörfler; Henrik Sandberg (IEEE Trans. Smart Grid, 2017)

Data Driven Spatio-Temporal Modeling of Parking Demand. - Tanner Fiez; Lillian J. Ratliff; Chase Dowling; Baosen Zhang (ACC, 2018)

Uncertainty in Multi-Commodity Routing Networks: When does it help? - Shreyas Sekar; Liyuan Zheng; Lillian J. Ratliff; Baosen Zhang (ACC, 2018)

A Convex Cycle-based Degradation Model for Battery Energy Storage Planning and Operation. - Yuanyuan Shi; Bolun Xu; Yushi Tan; Baosen Zhang (ACC, 2018)

Bayesian renewables scenario generation via deep generative networks. - Yize Chen; Pan Li 004; Baosen Zhang (CISS, 2018)

Coincident Peak Prediction Using a Feed-Forward Neural Network. - Chase P. Dowling; Daniel S. Kirschen; Baosen Zhang (GlobalSIP, 2018)

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. - Rajesh Pamula 001; Xun Sun; Sung Kim; Fahim ur Rahman; Baosen Zhang; Visvesh S. Sathe 001 (VLSI Circuits, 2018)

Real-Time Prediction of the Duration of Distribution System Outages. - Aaron Jaech; Baosen Zhang; Mari Ostendorf; Daniel S. Kirschen (CoRR, 2018)

Optimal Design of Virtual Inertia and Damping Coefficients for Virtual Synchronous Machines. - Atinuke Ademola-Idowu; Baosen Zhang (CoRR, 2018)

Power Flow as Intersection of Circles: A new Fixed Point Method. - Kishan Prudhvi Guddanti; Yang Weng; Baosen Zhang (CoRR, 2018)

A tractable ellipsoidal approximation for voltage regulation problems. - Pan Li 004; Baihong Jin; Ruoxuan Xiong; Dai Wang; Alberto L. Sangiovanni-Vincentelli; Baosen Zhang (ACC, 2019)

Mitigation of Coincident Peak Charges via Approximate Dynamic Programming. - Chase P. Dowling; Baosen Zhang (CDC, 2019)

Exploiting Vulnerabilities of Load Forecasting Through Adversarial Attacks. - Yize Chen; Yushi Tan; Baosen Zhang (e-Energy, 2019)

Optimal Control Via Neural Networks: A Convex Approach. - Yize Chen; Yuanyuan Shi; Baosen Zhang (ICLR (Poster), 2019)

Fast Calculation of Probabilistic Power Flow: A Model-based Deep Learning Approach. - Yan Yang; Zhifang Yang; Juan Yu; Baosen Zhang (CoRR, 2019)

Learning in Cournot Games with Limited Information Feedback. - Yuanyuan Shi; Baosen Zhang (CoRR, 2019)

Frequency Stability Using Inverter Power Control in Low-Inertia Power Systems. - Atinuke Ademola-Idowu; Baosen Zhang (CoRR, 2019)

Optimal L-Infinity Frequency Control in Microgrids Considering Actuator Saturation. - Daniel Tabas; Baosen Zhang (CoRR, 2019)

Optimal Battery Control Under Cycle Aging Mechanisms in Pay for Performance Settings. - Yuanyuan Shi; Bolun Xu; Yushi Tan; Daniel S. Kirschen; Baosen Zhang (IEEE Trans. Autom. Control., 2019)

Competition and Efficiency of Coalitions in Cournot Games With Uncertainty. - Baosen Zhang; Ramesh Johari; Ram Rajagopal (IEEE Trans. Control. Netw. Syst., 2019)

Participation of an Energy Storage Aggregator in Electricity Markets. - Jesus E. Contreras-Ocaña; Miguel A. Ortega-Vazquez; Baosen Zhang (IEEE Trans. Smart Grid, 2019)

A Distributed Online Pricing Strategy for Demand Response Programs. - Pan Li 004; Hao Wang 016; Baosen Zhang (IEEE Trans. Smart Grid, 2019)

Transfer Learning for HVAC System Fault Detection. - Chase P. Dowling; Baosen Zhang (ACC, 2020)

Multi-Agent Reinforcement Learning in Cournot Games. - Yuanyuan Shi; Baosen Zhang (CDC, 2020)

Reinforcement Learning for Optimal Frequency Control: A Lyapunov Approach. - Wenqi Cui; Baosen Zhang (CoRR, 2020)

Consensus-Based Set-Theoretic Control in Power Systems. - Daniel Tabas; Baosen Zhang (CoRR, 2020)

Scenario Forecasting of Residential Load Profiles. - Ling Zhang; Baosen Zhang (IEEE J. Sel. Areas Commun., 2020)

Uncertainty in Multicommodity Routing Networks: When Does It Help? - Shreyas Sekar; Liyuan Zheng; Lillian J. Ratliff; Baosen Zhang (IEEE Trans. Autom. Control., 2020)

Modeling Curbside Parking as a Network of Finite Capacity Queues. - Chase P. Dowling; Lillian J. Ratliff; Baosen Zhang (IEEE Trans. Intell. Transp. Syst., 2020)

Low-Carbon Operation of Multiple Energy Systems Based on Energy-Carbon Integrated Prices. - Yaohua Cheng; Ning Zhang 008; Baosen Zhang; Chongqing Kang; Weimin Xi; Mengshuang Feng (IEEE Trans. Smart Grid, 2020)

A Geometric Analysis of Power System Loadability Regions. - Yang Weng; Ram Rajagopal; Baosen Zhang (IEEE Trans. Smart Grid, 2020)

Fast Calculation of Probabilistic Power Flow: A Model-Based Deep Learning Approach. - Yan Yang; Zhifang Yang; Juan Yu; Baosen Zhang; Youqiang Zhang; Hongxin Yu (IEEE Trans. Smart Grid, 2020)

Safe Reinforcement Learning of Control-Affine Systems with Vertex Networks. - Liyuan Zheng; Yuanyuan Shi; Lillian J. Ratliff; Baosen Zhang (L4DC, 2021)

Vulnerabilities of Power System Operations to Load Forecasting Data Injection Attacks. - Yize Chen; Yushi Tan; Ling Zhang; Baosen Zhang (SmartGridComm, 2021)

An Iterative Approach to Finding Global Solutions of AC Optimal Power Flow Problems. - Ling Zhang; Baosen Zhang (CoRR, 2021)

Learning to Solve the AC Optimal Power Flow via a Lagrangian Approach. - Ling Zhang; Baosen Zhang (CoRR, 2021)

Predicting Power System Dynamics and Transients: A Frequency Domain Approach. - Wenqi Cui; Weiwei Yang; Baosen Zhang (CoRR, 2021)

State-of-Charge Aware EV Charging. - Yize Chen; Baosen Zhang (CoRR, 2021)

Decentralized Safe Reinforcement Learning for Voltage Control. - Wenqi Cui; Jiayi Li; Baosen Zhang (ACC, 2022)

Computationally Efficient Safe Reinforcement Learning for Power Systems. - Daniel Tabas; Baosen Zhang (ACC, 2022)

Safe and Efficient Model Predictive Control Using Neural Networks: An Interior Point Approach. - Daniel Tabas; Baosen Zhang (CDC, 2022)

An iterative approach to improving solution quality for AC optimal power flow problems. - Ling Zhang; Baosen Zhang (e-Energy, 2022)

Data-Driven Modeling of Aggregate Flexibility under Uncertain and Non-Convex Load Models. - Sina Taheri; Vassilis Kekatos; Harsha Veeramachaneni; Baosen Zhang (CoRR, 2022)

Stable Reinforcement Learning for Optimal Frequency Control: A Distributed Averaging-Based Integral Approach. - Yan Jiang; Wenqi Cui; Baosen Zhang; Jorge Cortés 001 (CoRR, 2022)

Structured Neural-PI Control for Networked Systems: Stability and Steady-State Optimality Guarantees. - Wenqi Cui; Yan Jiang; Baosen Zhang; Yuanyuan Shi (CoRR, 2022)

Cyber-Physical Attack Leveraging Subsynchronous Resonance. - Bosong Li; Baosen Zhang; Daniel S. Kirschen (CoRR, 2022)

Optimal Inverter-Based Resources Placement in Low-Inertia Power Systems. - Atinuke Ademola-Idowu; Baosen Zhang (CoRR, 2022)

Interpreting Primal-Dual Algorithms for Constrained MARL. - Daniel Tabas; Ahmed S. Zamzam; Baosen Zhang (CoRR, 2022)

Lyapunov-Regularized Reinforcement Learning for Power System Transient Stability. - Wenqi Cui; Baosen Zhang (IEEE Control. Syst. Lett., 2022)

Equilibrium-Independent Stability Analysis for Distribution Systems With Lossy Transmission Lines. - Wenqi Cui; Baosen Zhang (IEEE Control. Syst. Lett., 2022)

Dynamic and Full-Time Acquisition Technology and Method of Ice Data of Yellow River. - Yu Deng; Chunjiang Li; Zhijun Li; Baosen Zhang (Sensors, 2022)

A Convex Neural Network Solver for DCOPF With Generalization Guarantees. - Ling Zhang; Yize Chen; Baosen Zhang (IEEE Trans. Control. Netw. Syst., 2022)

Data-Driven Modeling of Aggregate Flexibility Under Uncertain and Non-Convex Device Models. - Sina Taheri; Vassilis Kekatos; Sriharsha Veeramachaneni; Baosen Zhang (IEEE Trans. Smart Grid, 2022)

A Capacity-Price Game for Uncertain Renewables Resources. - Pan Li 004; Shreyas Sekar; Baosen Zhang (IEEE Trans. Sustain. Comput., 2022)

Leveraging Predictions in Power System Frequency Control: An Adaptive Approach. - Wenqi Cui; Guanya Shi; Yuanyuan Shi; Baosen Zhang (CDC, 2023)

Efficient Reinforcement Learning Through Trajectory Generation. - Wenqi Cui; Linbin Huang; Weiwei Yang; Baosen Zhang (L4DC, 2023)

Equilibria of Fully Decentralized Learning in Networked Systems. - Yan Jiang; Wenqi Cui; Baosen Zhang; Jorge Cortés 001 (L4DC, 2023)

Interpreting Primal-Dual Algorithms for Constrained Multiagent Reinforcement Learning. - Daniel Tabas; Ahmed S. Zamzam; Baosen Zhang (L4DC, 2023)

Structured Neural-PI Control with End-to-End Stability and Output Tracking Guarantees. - Wenqi Cui; Yan Jiang; Baosen Zhang; Yuanyuan Shi (NeurIPS, 2023)

Solving Differential-Algebraic Equations in Power Systems Dynamics with Neural Networks and Spatial Decomposition. - Jochen Stiasny; Spyros Chatzivasileiadis; Baosen Zhang (CoRR, 2023)

An Efficient Learning-Based Solver for Two-Stage DC Optimal Power Flow with Feasibility Guarantees. - Ling Zhang; Daniel Tabas; Baosen Zhang (CoRR, 2023)

Convex Restriction of Feasible Sets for AC Radial Networks. - Ling Zhang; Daniel Tabas; Baosen Zhang (CoRR, 2023)

Socially Optimal Energy Usage via Adaptive Pricing. - Jiayi Li; Matthew Motoki; Baosen Zhang (CoRR, 2023)

Controlling Grid-Connected Inverters under Time-Varying Voltage Constraints. - Zixiao Ma; Baosen Zhang (CoRR, 2023)

Physical Mechanism and Parameterization for Correcting Radar Wave Velocity in Yellow River Ice with Air Temperature and Ice Thickness. - Zhijun Li; Chunjiang Li; Yu Yang; Baosen Zhang; Yu Deng; Guoyu Li (Remote. Sens., 2023)

Morphology Dynamics of Ice Cover in a River Bend Revealed by the UAV-GPR and Sentinel-2. - Chunjiang Li; Zhijun Li; Wenfeng Huang; Baosen Zhang; Yu Deng; Guoyu Li (Remote. Sens., 2023)

FastICENet: A real-time and accurate semantic segmentation model for aerial remote sensing river ice image. - Xiuwei Zhang 001; Zixu Zhao; Lingyan Ran; Yinghui Xing; Wenna Wang; Zeze Lan; Hanlin Yin; Houjun He; Qixing Liu; Baosen Zhang; Yanning Zhang 001 (Signal Process., 2023)

Optimal Control of Grid-Interfacing Inverters with Current Magnitude Limits. - Trager Joswig-Jones; Baosen Zhang (CDC, 2024)

Oscillations-Aware Frequency Security Assessment via Efficient Worst-Case Frequency Nadir Computation. - Yan Jiang; Hancheng Min; Baosen Zhang (CoRR, 2024)

Balancing Fairness and Efficiency in Energy Resource Allocations. - Jiayi Li; Matthew Motoki; Baosen Zhang (CoRR, 2024)

Safe Control of Grid-Interfacing Inverters with Current Magnitude Limits. - Trager Joswig-Jones; Baosen Zhang (CoRR, 2024)

Strategic and Fair Aggregator Interactions in Energy Markets: Mutli-agent Dynamics and Quasiconcave Games. - Jiayi Li; Matthew Motoki; Baosen Zhang (CoRR, 2024)

Online Voltage Regulation of Distribution Systems with Disturbance-Action Controllers. - Peng Zhang; Baosen Zhang (CoRR, 2024)

Fast and Reliable N - k Contingency Screening with Input-Convex Neural Networks. - Nicolas Christianson; Wenqi Cui; Steven H. Low; Weiwei Yang; Baosen Zhang (L4DC, 2025)

Geometry of the Feasible Output Regions of Grid-Interfacing Inverters With Current Limits. - Lauren Streitmatter; Trager Joswig-Jones; Baosen Zhang (IEEE Control. Syst. Lett., 2025)

Inverter Control with Time-Varying and Nonconvex State and Input Constraints. - Zixiao Ma; Baosen Zhang (CoRR, 2025)

Adaptive Pricing for Optimal Coordination in Networked Energy Systems with Nonsmooth Cost Functions. - Jiayi Li; Jiale Wei; Matthew Motoki; Yan Jiang; Baosen Zhang (CoRR, 2025)

Optimal Voltage Control Using Online Exponential Barrier Method. - Peng Zhang; Baosen Zhang (CoRR, 2025)

Flow-CDNet: A Novel Network for Detecting Both Slow and Fast Changes in Bitemporal Images. - Haoxuan Li; Chenxu Wei; Haodong Wang; Xiaomeng Hu; Boyuan An; Lingyan Ran; Baosen Zhang; Jin Jin; Omirzhan Taukebayev; Amirkhan Temirbayev; Junrui Liu; Xiuwei Zhang 001 (CoRR, 2025)

Voltage Regulation in Distribution Systems with Data Center Loads. - Yize Chen; Baosen Zhang (CoRR, 2025)