For publications since 2022, please refer to my google scholar page.

2021 

• Xin Chen, Jorge Poveda, Na Li, "Model-Free Optimal Voltage Control via Continuous-Time Zeroth-Order Methods", CDC, 2021
• Tianpeng Zhang, Victor Qin, Yujie Tang, Na Li, "Source Seeking by Dynamic Source Location Estimation", IROS, 2021.
• Yang Zheng, Yujie Tang, Na Li, "Analysis of the Optimization Landscape of Linear Quadratic Gaussian (LQG) Control", L4DC 2021 (Oral presentation, top 10%)
• Yang Zheng, Luca Furieri, Maryam Kamgarpour, Na Li, "Sample Complexity of Linear Quadratic Gaussian (LQG) Control for Output Feedback Systems", L4DC 2021
• Runyu Zhang, Yingying Li, Na Li, "On the Regret Analysis of Online LQR Control with Predictions", ACC 2021
• Zhaolin Ren, Aoxiao Zhong, Zhengyuan Zhou, Na Li, "LQR with Tracking: A Zeroth-order Approach and Its Global Convergence", ACC 2021
• Junshang Zhang, Na Li, Mehmet Dedeoglu, "Federated Learning over Wireless Networks: A Band-limited Coordinated Descent Approach", IEEE INFOCOM 2021.
• Yingying Li, Subhro Das, Na Li, "Online Optimal Control with Affine Constraints", AAAI-21.

2020 

• Guannan Qu, Yiheng Lin, Adam Wierman, Na Li, "Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward", NeurIPS 2020.
• Yingying Li, Na Li, "Leveraging Predictions in Smoothed Online Convex Optimization via Gradient-based Algorithms", NeurIPS 2020.
• Yujie Tang, Zhaolin Ren, Na Li, "Zeroth-Order Feedback Optimization for Cooperative Multi-Agent Systems", CDC 2020.
• Niloy Patari, Anurag Srivastava, Guannan Qu, Na Li, "Distributed Optimal Voltage Control for Three-Phase Unbalanced Distribution Systems with DERs", IEEE IAS Annual Meeting 2020.
• Han Shu, Xuan Zhang, Na Li, Antonis Papachristodoulou, "Control Reconfiguration of Cyber-physical Systems for Improved Performance via Reverse-engineering and Accelerated First-order Algorithms", ICCPS 2020.
• Guannan Qu, Adam Wierman, Na Li, "Scalable Reinforcement Learning of Localized Policies for Multi-Agent Networked Systems", L4DC 2020.
• Yingying Li, Yujie Tang, Runyu Zhang, Na Li, "Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach", L4DC 2020.
• Xin Chen and N. Li, “Exponential Stability of Primal-Dual Gradient Dynamics with Non-Strong Convexity,” ACC 2020. 

2019

• Yingying Li, Xin Chen, Na Li, "Online Optimal Control with Linear Dynamics and Predictions: Algorithms and Regret Analysis", NeurIPS 2019.
• Yujie Tang, Na Li, "Distributed Zero-Order Algorithms for Nonconvex Multi-Agent Optimization", Allerton 2019.
• Sindri Magnusson, Hossein Shokri-Ghadikolaei, Na Li, "On Maintaining Linear Convergence of Distributed Learning under Limited Communication", Asilomar, 2019. 
• Xin Chen, Na Li, "Exponential Stability of Primal-Dual Gradient Dynamics with Non-Strong Convexity", ArXiv, under review 2019.
• Yujie Tang, Guannan Qu, Na Li, "Semi-Global Exponential Stability of Primal-Dual Gradient Dynamics for Constrained Convex Optimization", ArXiv, under review, 2019.
• Yingying Li, Aoxiao Zhong, Guannan Qu, Na Li, "Online Markov Decision Processes with Time-varying Transition Probabilities and Rewards", ICML workshop on Real-world Sequential Decision Making, 2019.
• Guannan Qu, Na Li, "Exploiting Fast Decaying and Locality in Multi-Agent MDP with Tree Dependence Structure", Accepted to CDC, 2019
• Jorge I. Poveda, Na Li, "Inducing Uniform Asymptotic Stability in Accelerated Optimization Dynamics via Hybrid Regularization", ArXiv, Accepted to CDC, 2019.
• Sindri Magnusson, Carlo Fishione, Na Li, "Optimal Voltage Control Using Event Triggered Communication", ACM E-Energy, 2019.
• Yingying Li, Na Li, “Online Learning for Markov Decision Processes in Nonstationary Environments: A Dynamic Regret Analysis”, American Control Conference, 2019.
• Sindri Magnusson, Guannan Qu, Na Li, “Distributed Voltage Control with Communication Delays”, American Control Conference, 2019.

2018

• Yingying Li, Qinran Hu, Na Li, "Learning and Selecting the Right Customers for Reliability: A Multi-armed Bandit Approach", IEEE Conference on Decision and Control (CDC), 2018.
• Xin Chen, Changhong Zhao, Na Li, "Distributed Automatic Load-Frequency Control with Optimality in Power Systems", IEEE Conference on Control Technology and Applications (CCTA), 2018. One of the two Best Student Paper Award finalists
• Guannan Qu, Na Li, "An Optimal and Distributed Feedback Voltage Control under Limited Reactive Power", Power Systems Computation Conference (PSCC), 2018.
• Yingying Li, Guannan Qu, Na Li, "Using Predictions in Online Optimization with Switching Costs: A Fast Algorithm and A Fundamental Limit", American Control Conference (ACC), 2018. Longer Full Version
• Takashi Tanaka, Na Li, Kenko Uchida, "On the Relationship between the VCG Mechanism and Market Clearing", American Control Conference (ACC), 2018.
• Tianyi Chen*, Na Li, Georgios B. Giannakis, "Aggregating Flexibility of Heterogeneous Energy Resources in Distribution Networks", American Control Conference (ACC), 2018.

2017

• Guannan Qu, Na Li, "Accelerated Distributed Nesterov Gradient Descent for Convex and Smooth Functions", IEEE Conference on Decision and Control (CDC), 2017.
• Johannes Köhler, Matthias A. Muller, Na Li, Frank Allgower, "Real Time Economic Dispatch for power networks: A Distributed Economic Model Predictive Control Approach", IEEE Conference on Decision and Control (CDC), 2017.
• Takeshi Hatanaka, Xuan Zhang, Wenbo Shi, Minghui Zhu, Na Li, "Physics-Integrated Hierarchical/Distributed HVAC Optimization for Multiple Buildings with Robustness against Time Delays", IEEE Conference on Decision and Control (CDC), 2017.
• Xuan Zhang, Bin Yan, Wenbo Shi, Ali Malkawi, (Samuel) Qing-Shan Jia, Na Li, "Community-level Geothermal Heat Pump System Management via an Aggregation-disaggregation Framework", IEEE Conference on Decision and Control (CDC), 2017.
• Sindri Magnusson, Carlo Fischione, Na Li, "Voltage Control Using Limited Communication", IFAC 2017
• Yingying Li, Na Li, "Mechanism Design for Reliability in Demand Response with Uncertainty", Amercian Control Conference (ACC), 2017.
• Xuan Zhang, Wenbo Shi, Qinran Hu, Bin Yan, Ali Malkawi, Na Li, "Distributed Temperature Control via Geothermal Heat Pump Systems in Energy Efficient Buildings", Amercian Control Conference (ACC), 2017.
• Yanhua Tian, Na Li, Josh Taylor, "Harmonic Reduction via Optimal Power Flow and the Frequency Coupling Matrix",  IEEE Conference on Control Technology and Applications, 2017.
• Takeshi Hatanaka, Xuan Zhang, Wenbo Shi, Minghui Zhu, Na Li, "An Integrated Design of Optimization and Physical Dynamics for Energy Efficient Buildings: A Passivity Approach",  IEEE Conference on Control Technology and Applications (CCTA), 2017
• Reza Azimi, Masoud Badiei, Xin Zhan, Na Li, Sherief Reda, "Fast decentralized power capping for server clusters", 23th IEEE Symposium on High Performance Computer Architecture (HPCA), 2017. (acceptance rate, 22%)

2016

• Guannan Qu, Na Li, "Accelerated Distributed Nesterov Gradient Descent for Smooth and Strongly Convex Functions", Allerton Conference on Communication, Control, and Computing, 2016
• Guannan Qu, Na Li, "Harnessing Smoothness to Accelerate Distributed Optimization", IEEE Conference on Decision and Control (CDC), 2016 
• Sindri Magnusson, Chinwendu Enyioha, Na Li, Carlo Fischione, "Practical Coding Schemes For Bandwidth Limited One-Way Communication Resource Allocation", IEEE Conference on Decision and Control (CDC), 2016
• Donya Ghavidel Dobakhshari, Na Li, Vijay Gupta, "An Incentive-Based Approach to Distributed Estimation with Strategic Sensors ",IEEE Conference on Decision and Control (CDC), 2016
• Masoud Badiei, Na Li,"Distributed Regularized Primal-Dual Method", IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2016.
• Xuan Zhang, Wenbo Shi, Xiwang Li, Bin Yan, Ali Malkawi, Na Li, "Decentralized TemperatureControl via HVAC Systems in Energy Efficient Buildings: An Approximate Solution Procedure",
  IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2016.
• Martin Andreasson and Na Li, "Dynamical Decentralized Voltage Control of Multi-Terminal HVDC Grids", European Control Conference, 2016.
• Hongyao Ma, Valentin Robu, Na Li, Daivd Parkes, "Incentivizing Reliability in Demand-Side Response", Accepted to International Joint Conference on Artificial Intelligence (IJCAI), 2016
• Ariana Minot, Yue Lu, Na Li, "A Parallel Primal-Dual Interior Point Method for DC Optimal Power Flow", Accepted to Power Systems Computation Conference (PSCC), 2016. (Errata)
• Sindri Magnusson, Chinwendu Enyioha, Kathryn Heal, Na Li, Carlo Fischione, and Vahid Tarokh, "Convergence of Limited Communications Gradient Methods", Accepted to American Control Conference (ACC), 2016.
• Masoud Badiei Khuzani, Xin Zhan, Reza Azimi, Sherief Reda and Na Li, "DiBA: Distributed Power Budget Allocation for Large-Scale Computing Clusters", Accepted to IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing(CCGrid), 2016. (acceptance rate, 20%)
• Sindri Magnusson, Chinwendu Enyioha, Kathryn Heal, Na Li, Carlo Fischione, and Vahid Tarokh, "Distributed Resource Allocation Using One-Way Communication with Applications to Power Networks", Accepted to Conference on Information Sciences and Systems (CISS), 2016.
•  Hao Zhu, Na Li, "Asynchronous Local Voltage Control in Power Distribution Networks", Accepted to IEEE Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016.

2015

• Na Li, "A Market Mechanism for Electric Distribution Networks", CDC, 2015.
• Xuan Zhang, Antonis Papachristodoulou, Na Li, "Distributed Optimal Steady-state Control Using Reverse- and Forward-engineering", CDC, 2015.
• Masoud Badiei, Na Li, Adam Wierman, "On Online Convex Optimization with Ramp Constraints", CDC 2015.
• Guannan Qu, Dave Brown, Na Li, "Distributed Greedy Algorithm for Satellite Assignment Problem with Submodular Utility Function",  5th IFAC Workshop on Estimation and Control of Networked Systems (NecSys'15), 2015.
• Xuan Zhang, Na Li, Antonis Papachristodoulou, "Achieving Real-time Economic Dispatch in Power Networks via a Saddle Point Design Approach", PESGM, 2015.
• Qingqing Huang, Leilai Shao, Na Li, "Dynamic Fault Diagnosis in Power Grids Using Hidden Markov Models'', American Control Conference, 2015.
• Ariana Minot, Na Li, "A Fully Distributed State Estimation Using Matrix Splitting Methods'', American Control Conference, 2015.

2014 and before

• Na Li, Guannan Qu, Munther Dahleh, "Real-time Decentralized Voltage Control in Distribution Networks", Allerton Conference on Communication, Control and Computing, 2014. A longer version that also studies the robustness of the algorithm is available here.
• Minghui Zhu, Na Li, "Stability Constrained Incentive Mechanisms for Distributed Frequency Control of Power Grid", IEEE Conference on Decision and Control 2014.
• Na Li, Changhong Zhao Lijun Chen, Steven Low, "Connecting Automatic Generation Control and Economic Dispatch from an Optimization View", American Control Conference, 2014.
• Minghui Zhu, Na Li, Wenbo Shi, Rajit Gadh, "Distributed Access Control of Volatile Renewable Energy Resources", PESGM 2014.
• Lingwen Gan, Na Li, Ufuk Topcu, Steven Low, "Optimal Power Flow in Distribution Networks", IEEE Conference on Decision and Control, 2013.
• Na Li, Lingwen Gan, Lijun Chen, Steven Low, "An Optimization-based Demand Response in Radial Distribution Networks", IEEE Workshop on Smart Grid Communications: Design for Performance, 2012.
• Na Li, Lijun Chen, Steven Low, "Demand Response in Radial Distribution Networks: Distributed Algorithm (Invitied Paper)'', Asilomar Conference on Signals, Systems and Computers, 2012.
• Na Li, Lijun Chen, Steven Low, "Exact Convex Relaxation for Radial Networks using Branch Flow Models", IEEE International Conference on Smart Grid Communications, 2012. Here is the Technical Report which provides the proof and improved results.
• Rui Huang, Tiana Huang, Rajit Gadh and Na Li, "Solar Generation Prediction using the ARMA Model in a Laboratory-level Micro-grid", IEEE International Conference on Smart Grid Communications, 2012.
• Lingwen Gan, Na Li, Ufuk Topcu, Steven Low, "Branch Flow Model for Radial Networks: Convex Relaxation", Proceedings of the 51th IEEE Conference on Decision and Control, 2012.
• Na Li, Jason Marden, "Designing Games for Distributed Optimization with a Time-Varying Communication Graph", Proceedings of the 51th IEEE Conference on Decision and Control, 2012.
• Na Li, Jason Marden, "Designing Games for Distributed Optimization", Proceedings of the 50th IEEE Conference on Decision and Control, 2011. Best Student Paper Award Finalist
• Na Li, Lijun Chen, Steven H. Low, "Optimal Demand Response based on Utility Maximization in Power Networks", IEEE Power Engineering Society General Meeting, 2011. Code is available here.
• Lijun Chen, Na Li, Steven H. Low and John C. Doyle, "Two Market Models for Demand Response in Power Networks", IEEE International Conference on Smart Grid Communications, 2010.
• Na Li, Jason Marden, "Designing Games to Handle Coupled Constraints", Proceedings of the 49th IEEE Conference on Decision and Control, 2010.
• Na Li, Jason Marden, Jeff S. Shamma, "Learning Approaches to the Witsenhausen Counterexample from a View of Potential Games", Proceedings of the 48th IEEE Conference on Decision and Control, 2009.