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ORCIDNa Li 0002
Person information
- affiliation: Harvard University, School of Engineering and Applied Sciences, Cambridge, MA, USA
- affiliation (PhD 2013): California Institute of Technology, Pasadena, CA, USA
Other persons with the same name
- Na Li — disambiguation page
- Na Li 0001
![[0000-0001-7966-3568]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-7966-3568")
— Beijing University of Posts and Telecommunications, National Engineering Laboratory for Mobile Network Technologies, China - Na Li 0003 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China
- Na Li 0004 — Nanjing Normal University, Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing, China
- Na Li 0005 — McMaster University, McMaster Centre for Transfusion Research, Hamilton, ON, Canada (and 1 more)
- Na Li 0006 — Shandong University of Finance and Economics, School of Statistics, Jinan, China
- Na Li 0007 — Shanghai Jiao Tong University, Department of Industrial Engineering and Management, School of Mechanical Engineering, China (and 1 more)
- Na Li 0008 — Prairie View A&M University, TX USA (and 1 more)
- Na Li 0009 — University of Rennes I, France
- Na Li 0010 — École Polytechnique Fédérale de Lausanne, EPFL, School of Engineering, Switzerland
- Na Li 0011 — University of Technology of Troyes, France
- Na Li 0012 — Tencent AI Lab, Shenzhen, China
- Na Li 0013 — Henan University, School of Mathematics and Statistics, Kaifeng, China (and 2 more)
- Na Li 0014 — Beihang University, School of Instrumentation Science and Opto-Electronic Engineering, Beijing, China (and 1 more)
- Na Li 0015 — Chinese Academy of Sciences, Shenzhen Institute of Advanced Technology, China (and 2 more)
- Na Li 0016 — University of Electronic Science and Technology of China, UESTC, School of Information and Communication Engineering, Chengdu, China
- Na Li 0017 — Northwestern Polytechnical University, School of Electronics and Information, Xi'an, China
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2020 – today
- 2024
[j48]J. Nathan Kutz, Steven L. Brunton, Krithika Manohar, Hod Lipson, Na Li:
AI Institute in Dynamic Systems: Developing machine learning and AI tools for scientific discovery, engineering design, and data-driven control. AI Mag. 45(1): 48-53 (2024)- [j47]Weinan Gao, Na Li, Kyriakos G. Vamvoudakis, Fei Richard Yu, Zhong-Ping Jiang:
Guest Editorial Special Issue on Reinforcement Learning-Based Control: Data-Efficient and Resilient Methods. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3103-3106 (2024) - [i61]Phevos Paschalidis, Runyu Zhang, Na Li:
Cooperative Multi-Agent Graph Bandits: UCB Algorithm and Regret Analysis. CoRR abs/2401.10383 (2024) - [i60]Johan Olsson, Runyu Zhang, Emma Tegling, Na Li:
Scalable Reinforcement Learning for Linear-Quadratic Control of Networks. CoRR abs/2401.16183 (2024) - [i59]Zhaolin Ren, Na Li:
Minimizing the Thompson Sampling Regret-to-Sigma Ratio (TS-RSR): a provably efficient algorithm for batch Bayesian Optimization. CoRR abs/2403.04764 (2024) - [i58]Haitong Ma, Zhaolin Ren, Bo Dai, Na Li:
Skill Transfer and Discovery for Sim-to-Real Learning: A Representation-Based Viewpoint. CoRR abs/2404.05051 (2024) - [i57]Yang Hu, Haitong Ma, Bo Dai, Na Li:
Efficient Duple Perturbation Robustness in Low-rank MDPs. CoRR abs/2404.08089 (2024) - [i56]Tianpeng Zhang, Sekeun Kim, Jerome Charton, Haitong Ma, Kyungsang Kim, Na Li, Quanzheng Li:
Autonomous Robotic Ultrasound System for Liver Follow-up Diagnosis: Pilot Phantom Study. CoRR abs/2405.05787 (2024) - 2023
- [j46]Bin Hu, Kaiqing Zhang, Na Li, Mehran Mesbahi, Maryam Fazel, Tamer Basar:
Toward a Theoretical Foundation of Policy Optimization for Learning Control Policies. Annu. Rev. Control. Robotics Auton. Syst. 6: 123-158 (2023) - [j45]Yujie Tang, Zhaolin Ren, Na Li:
Zeroth-order feedback optimization for cooperative multi-agent systems. Autom. 148: 110741 (2023) - [j44]Yujie Tang, Yang Zheng, Na Li:
Analysis of the optimization landscape of Linear Quadratic Gaussian (LQG) control. Math. Program. 202(1): 399-444 (2023) - [j43]Tianpeng Zhang, Victor Qin, Yujie Tang, Na Li:
Distributed Information-Based Source Seeking. IEEE Trans. Robotics 39(6): 4749-4767 (2023) - [c86]Hanjun Dai, Yuan Xue, Niao He, Yixin Wang, Na Li, Dale Schuurmans, Bo Dai:
Learning to Optimize with Stochastic Dominance Constraints. AISTATS 2023: 8991-9009 - [c85]Runyu Zhang, Weiyu Li, Na Li:
On the Optimal Control of Network LQR with Spatially-Exponential Decaying Structure. ACC 2023: 1775-1780 - [c84]Tongzheng Ren, Zhaolin Ren, Na Li, Bo Dai:
Stochastic Nonlinear Control via Finite-dimensional Spectral Dynamic Embedding. CDC 2023: 795-800 - [c83]Runyu Zhang, Yuyang Zhang, Rohit Konda, Bryce R. Ferguson, Jason R. Marden, Na Li:
Markov Games with Decoupled Dynamics: Price of Anarchy and Sample Complexity. CDC 2023: 8100-8107 - [c82]Tianpeng Zhang, Kasper Johansson, Na Li:
Multi-armed Bandit Learning on a Graph. CISS 2023: 1-6 - [c81]Tongzheng Ren, Chenjun Xiao, Tianjun Zhang, Na Li, Zhaoran Wang, Sujay Sanghavi, Dale Schuurmans, Bo Dai:
Latent Variable Representation for Reinforcement Learning. ICLR 2023 - [c80]Aoxiao Zhong, Hao He, Zhaolin Ren, Na Li, Quanzheng Li:
FedDAR: Federated Domain-Aware Representation Learning. ICLR 2023 - [c79]Zhaolin Ren, Yujie Tang, Na Li:
Escaping saddle points in zeroth-order optimization: the power of two-point estimators. ICML 2023: 28914-28975 - [c78]Haitong Ma, Tianpeng Zhang, Yixuan Wu, Flávio P. Calmon, Na Li:
Gaussian Max-Value Entropy Search for Multi-Agent Bayesian Optimization. IROS 2023: 10028-10035 - [c77]Yuyang Zhang, Runyu Zhang, Yuantao Gu, Na Li:
Multi-Agent Reinforcement Learning with Reward Delays. L4DC 2023: 692-704 - [c76]Zhaolin Ren, Yang Zheng, Maryam Fazel, Na Li:
On Controller Reduction in Linear Quadratic Gaussian Control with Performance Bounds. L4DC 2023: 1008-1019 - [c75]Yingying Li, James A. Preiss, Na Li, Yiheng Lin, Adam Wierman, Jeff S. Shamma:
Online switching control with stability and regret guarantees. L4DC 2023: 1138-1151 - [i55]Yingying Li, James A. Preiss, Na Li, Yiheng Lin, Adam Wierman, Jeff S. Shamma:
Online switching control with stability and regret guarantees. CoRR abs/2301.08445 (2023) - [i54]Haitong Ma, Tianpeng Zhang, Yixuan Wu, Flávio P. Calmon, Na Li:
Gaussian Max-Value Entropy Search for Multi-Agent Bayesian Optimization. CoRR abs/2303.05694 (2023) - [i53]Jiang Hu, Kangkang Deng, Na Li, Quanzheng Li:
Decentralized Riemannian natural gradient methods with Kronecker-product approximations. CoRR abs/2303.09611 (2023) - [i52]Runyu Zhang, Yuyang Zhang, Rohit Konda, Bryce L. Ferguson, Jason R. Marden, Na Li:
Markov Games with Decoupled Dynamics: Price of Anarchy and Sample Complexity. CoRR abs/2304.03840 (2023) - [i51]Tongzheng Ren, Zhaolin Ren, Na Li, Bo Dai:
Stochastic Nonlinear Control via Finite-dimensional Spectral Dynamic Embedding. CoRR abs/2304.03907 (2023) - [i50]Yingying Li, Tianpeng Zhang, Subhro Das, Jeff S. Shamma, Na Li:
Non-asymptotic System Identification for Linear Systems with Nonlinear Policies. CoRR abs/2306.10369 (2023) - [i49]Runyu Zhang, Yang Hu, Na Li:
Regularized Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity. CoRR abs/2306.11626 (2023) - [i48]Xin Chen, Andy Sun, Wenbo Shi, Na Li:
Carbon-Aware Optimal Power Flow. CoRR abs/2308.03240 (2023) - [i47]Xin Chen, Hungpo Chao, Wenbo Shi, Na Li:
Towards Carbon-Free Electricity: A Comprehensive Flow-Based Framework for Power Grid Carbon Accounting and Decarbonization. CoRR abs/2308.03268 (2023) - 2022
- [j42]Yang Zheng, Luca Furieri, Maryam Kamgarpour, Na Li:
System-level, input-output and new parameterizations of stabilizing controllers, and their numerical computation. Autom. 140: 110211 (2022) - [j41]Yujie Tang, Vikram Ramanathan, Junshan Zhang, Na Li:
Communication-Efficient Distributed SGD With Compressed Sensing. IEEE Control. Syst. Lett. 6: 2054-2059 (2022) - [j40]Guannan Qu, Adam Wierman, Na Li:
Scalable Reinforcement Learning for Multiagent Networked Systems. Oper. Res. 70(6): 3601-3628 (2022) - [j39]Han Shu, Xuan Zhang, Na Li, Antonis Papachristodoulou:
Control Reconfiguration of Dynamical Systems for Improved Performance via Reverse- and Forward-Engineering. IEEE Trans. Autom. Control. 67(3): 1490-1497 (2022) - [j38]Yingying Li, Yujie Tang, Runyu Zhang, Na Li:
Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach. IEEE Trans. Autom. Control. 67(12): 6429-6444 (2022) - [j37]Panagiotis Andrianesis, Michael Caramanis, Na Li:
Optimal Distributed Energy Resource Coordination: A Decomposition Method Based on Distribution Locational Marginal Costs. IEEE Trans. Smart Grid 13(2): 1200-1212 (2022) - [j36]Xin Chen, Guannan Qu, Yujie Tang, Steven H. Low, Na Li:
Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges. IEEE Trans. Smart Grid 13(4): 2935-2958 (2022) - [c74]Yang Zheng, Yue Sun, Maryam Fazel, Na Li:
Escaping High-order Saddles in Policy Optimization for Linear Quadratic Gaussian (LQG) Control. CDC 2022: 5329-5334 - [c73]Xin Chen, Yujie Tang, Na Li:
Improve Single-Point Zeroth-Order Optimization Using High-Pass and Low-Pass Filters. ICML 2022: 3603-3620 - [c72]Runyu Zhang, Qinghua Liu, Huan Wang, Caiming Xiong, Na Li, Yu Bai:
Policy Optimization for Markov Games: Unified Framework and Faster Convergence. NeurIPS 2022 - [c71]Runyu Zhang, Jincheng Mei, Bo Dai, Dale Schuurmans, Na Li:
On the Global Convergence Rates of Decentralized Softmax Gradient Play in Markov Potential Games. NeurIPS 2022 - [i46]Runyu Zhang, Jincheng Mei, Bo Dai, Dale Schuurmans, Na Li:
On the Effect of Log-Barrier Regularization in Decentralized Softmax Gradient Play in Multiagent Systems. CoRR abs/2202.00872 (2022) - [i45]Yang Zheng, Yue Sun, Maryam Fazel, Na Li:
Escaping High-order Saddles in Policy Optimization for Linear Quadratic Gaussian (LQG) Control. CoRR abs/2204.00912 (2022) - [i44]Runyu Zhang, Qinghua Liu, Huan Wang, Caiming Xiong, Na Li, Yu Bai:
Policy Optimization for Markov Games: Unified Framework and Faster Convergence. CoRR abs/2206.02640 (2022) - [i43]Aoxiao Zhong, Hao He, Zhaolin Ren, Na Li, Quanzheng Li:
FedDAR: Federated Domain-Aware Representation Learning. CoRR abs/2209.04007 (2022) - [i42]Tianpeng Zhang, Kasper Johansson, Na Li:
Multi-armed Bandit Learning on a Graph. CoRR abs/2209.09419 (2022) - [i41]Tianpeng Zhang, Victor Qin, Yujie Tang, Na Li:
Distributed Information-based Source Seeking. CoRR abs/2209.09421 (2022) - [i40]Bin Hu, Kaiqing Zhang, Na Li, Mehran Mesbahi, Maryam Fazel, Tamer Basar:
Towards a Theoretical Foundation of Policy Optimization for Learning Control Policies. CoRR abs/2210.04810 (2022) - [i39]Hanjun Dai, Yuan Xue, Niao He, Bethany Wang, Na Li, Dale Schuurmans, Bo Dai:
Learning to Optimize with Stochastic Dominance Constraints. CoRR abs/2211.07767 (2022) - [i38]Zhaolin Ren, Yang Zheng, Maryam Fazel, Na Li:
On Controller Reduction in Linear Quadratic Gaussian Control with Performance Bounds. CoRR abs/2211.16291 (2022) - [i37]Yuyang Zhang, Runyu Zhang, Gen Li, Yuantao Gu, Na Li:
Multi-Agent Reinforcement Learning with Reward Delays. CoRR abs/2212.01441 (2022) - [i36]Tongzheng Ren, Chenjun Xiao, Tianjun Zhang, Na Li, Zhaoran Wang, Sujay Sanghavi, Dale Schuurmans, Bo Dai:
Latent Variable Representation for Reinforcement Learning. CoRR abs/2212.08765 (2022) - 2021
- [j35]Jorge I. Poveda, Na Li:
Robust hybrid zero-order optimization algorithms with acceleration via averaging in time. Autom. 123: 109361 (2021) - [j34]Xin Chen, Yutong Nie, Na Li:
Online Residential Demand Response via Contextual Multi-Armed Bandits. IEEE Control. Syst. Lett. 5(2): 433-438 (2021) - [j33]Yang Zheng, Na Li:
Non-Asymptotic Identification of Linear Dynamical Systems Using Multiple Trajectories. IEEE Control. Syst. Lett. 5(5): 1693-1698 (2021) - [j32]Yang Zheng, Luca Furieri, Antonis Papachristodoulou, Na Li, Maryam Kamgarpour:
On the Equivalence of Youla, System-Level, and Input-Output Parameterizations. IEEE Trans. Autom. Control. 66(1): 413-420 (2021) - [j31]Yingying Li, Guannan Qu, Na Li:
Online Optimization With Predictions and Switching Costs: Fast Algorithms and the Fundamental Limit. IEEE Trans. Autom. Control. 66(10): 4761-4768 (2021) - [j30]Yujie Tang, Junshan Zhang, Na Li:
Distributed Zero-Order Algorithms for Nonconvex Multiagent Optimization. IEEE Trans. Control. Netw. Syst. 8(1): 269-281 (2021) - [j29]Xin Chen, Changhong Zhao, Na Li:
Distributed Automatic Load Frequency Control With Optimality in Power Systems. IEEE Trans. Control. Netw. Syst. 8(1): 307-318 (2021) - [j28]Xin Chen, Na Li:
Leveraging Two-Stage Adaptive Robust Optimization for Power Flexibility Aggregation. IEEE Trans. Smart Grid 12(5): 3954-3965 (2021) - [j27]Xin Chen, Yingying Li, Jun Shimada, Na Li:
Online Learning and Distributed Control for Residential Demand Response. IEEE Trans. Smart Grid 12(6): 4843-4853 (2021) - [c70]Yingying Li, Subhro Das, Na Li:
Online Optimal Control with Affine Constraints. AAAI 2021: 8527-8537 - [c69]Runyu Zhang, Yingying Li, Na Li:
On the Regret Analysis of Online LQR Control with Predictions. ACC 2021: 697-703 - [c68]Zhaolin Ren, Aoxiao Zhong, Na Li:
LQR with Tracking: A Zeroth-order Approach and Its Global Convergence. ACC 2021: 2562-2568 - [c67]Yang Zheng, Na Li:
Non-asymptotic Identification of Linear Dynamical Systems Using Multiple Trajectories. ACC 2021: 2812-2817 - [c66]Xin Chen, Jorge I. Poveda, Na Li:
Safe Model-Free Optimal Voltage Control via Continuous-Time Zeroth-Order Methods. CDC 2021: 4064-4070 - [c65]Jiaying Zhou, Xun Xian, Na Li, Jie Ding:
Assisted Learning: Cooperative AI with Autonomy. ICASSP 2021: 3130-3134 - [c64]Junshan Zhang, Na Li, Mehmet Dedeoglu:
Federated Learning over Wireless Networks: A Band-limited Coordinated Descent Approach. INFOCOM 2021: 1-10 - [c63]Tianpeng Zhang, Victor Qin, Yujie Tang, Na Li:
Source Seeking by Dynamic Source Location Estimation. IROS 2021: 2598-2605 - [c62]Yang Zheng, Luca Furieri, Maryam Kamgarpour, Na Li:
Sample Complexity of Linear Quadratic Gaussian (LQG) Control for Output Feedback Systems. L4DC 2021: 559-570 - [c61]Yujie Tang, Yang Zheng, Na Li:
Analysis of the Optimization Landscape of Linear Quadratic Gaussian (LQG) Control. L4DC 2021: 599-610 - [i35]Xin Chen, Guannan Qu, Yujie Tang, Steven H. Low, Na Li:
Reinforcement Learning for Decision-Making and Control in Power Systems: Tutorial, Review, and Vision. CoRR abs/2102.01168 (2021) - [i34]Yang Zheng, Yujie Tang, Na Li:
Analysis of the Optimization Landscape of Linear Quadratic Gaussian (LQG) Control. CoRR abs/2102.04393 (2021) - [i33]Junshan Zhang, Na Li, Mehmet Dedeoglu:
Federated Learning over Wireless Networks: A Band-limited Coordinated Descent Approach. CoRR abs/2102.07972 (2021) - [i32]Xin Chen, Jorge I. Poveda, Na Li:
Model-Free Optimal Voltage Control via Continuous-Time Zeroth-Order Methods. CoRR abs/2103.14703 (2021) - [i31]Runyu Zhang, Zhaolin Ren, Na Li:
Gradient Play in Multi-Agent Markov Stochastic Games: Stationary Points and Convergence. CoRR abs/2106.00198 (2021) - [i30]Yingying Li, Subhro Das, Jeff S. Shamma, Na Li:
Safe Adaptive Learning-based Control for Constrained Linear Quadratic Regulators with Regret Guarantees. CoRR abs/2111.00411 (2021) - [i29]Xin Chen, Yujie Tang, Na Li:
Improve Single-Point Zeroth-Order Optimization Using High-Pass and Low-Pass Filters. CoRR abs/2111.01701 (2021) - [i28]Yujie Tang, Vikram Ramanathan, Junshan Zhang, Na Li:
Communication-Efficient Distributed SGD with Compressed Sensing. CoRR abs/2112.07836 (2021) - 2020
- [j26]Yingying Li, Qinran Hu, Na Li:
A reliability-aware multi-armed bandit approach to learn and select users in demand response. Autom. 119: 109015 (2020) - [j25]Yujie Tang, Guannan Qu, Na Li:
Semi-global exponential stability of augmented primal-dual gradient dynamics for constrained convex optimization. Syst. Control. Lett. 144: 104754 (2020) - [j24]Guannan Qu, Na Li:
Accelerated Distributed Nesterov Gradient Descent. IEEE Trans. Autom. Control. 65(6): 2566-2581 (2020) - [j23]Xin Chen, Emiliano Dall'Anese, Changhong Zhao, Na Li:
Aggregate Power Flexibility in Unbalanced Distribution Systems. IEEE Trans. Smart Grid 11(1): 258-269 (2020) - [j22]Sindri Magnússon, Guannan Qu, Na Li:
Distributed Optimal Voltage Control With Asynchronous and Delayed Communication. IEEE Trans. Smart Grid 11(4): 3469-3482 (2020) - [j21]Bala Kameshwar Poolla, Saverio Bolognani, Na Li, Florian Dörfler:
A Market Mechanism for Virtual Inertia. IEEE Trans. Smart Grid 11(4): 3570-3579 (2020) - [j20]Sindri Magnússon, Hossein Shokri Ghadikolaei, Na Li:
On Maintaining Linear Convergence of Distributed Learning and Optimization Under Limited Communication. IEEE Trans. Signal Process. 68: 6101-6116 (2020) - [c60]Xin Chen, Na Li:
Exponential Stability of Primal-Dual Gradient Dynamics with Non-Strong Convexity. ACC 2020: 1612-1618 - [c59]Yujie Tang, Zhaolin Ren, Na Li:
Zeroth-order Feedback Optimization for Cooperative Multi-Agent Systems. CDC 2020: 3649-3656 - [c58]Niloy Patari, Anurag K. Srivastava, Guannan Qu, Na Li:
Distributed Optimal Voltage Control for Three Phase Unbalanced Distribution Systems with DERs. IAS 2020: 1-8 - [c57]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: 226-235 - [c56]Yichu Jin, Christina M. Glover, Haedo Cho, Oluwaseun A. Araromi, Moritz A. Graule, Na Li, Robert J. Wood, Conor J. Walsh:
Soft Sensing Shirt for Shoulder Kinematics Estimation. ICRA 2020: 4863-4869 - [c55]Guannan Qu, Adam Wierman, Na Li:
Scalable Reinforcement Learning of Localized Policies for Multi-Agent Networked Systems. L4DC 2020: 256-266 - [c54]Yingying Li, Yujie Tang, Runyu Zhang, Na Li:
Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach. L4DC 2020: 814 - [c53]Yingying Li, Na Li:
Leveraging Predictions in Smoothed Online Convex Optimization via Gradient-based Algorithms. NeurIPS 2020 - [c52]Guannan Qu, Yiheng Lin, Adam Wierman, Na Li:
Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward. NeurIPS 2020 - [i27]Xin Chen, Yutong Nie, Na Li:
Online Residential Demand Response via Contextual Multi-Armed Bandits. CoRR abs/2003.03627 (2020) - [i26]Han Shu, Xuan Zhang, Na Li, Antonis Papachristodoulou:
Control Reconfiguration of Dynamical Systems for Improved Performance via Reverse-engineering and Forward-engineering. CoRR abs/2003.09279 (2020) - [i25]Yingying Li, Qinran Hu, Na Li:
A Reliability-aware Multi-armed Bandit Approach to Learn and Select Users in Demand Response. CoRR abs/2003.09505 (2020) - [i24]Xin Chen, Na Li:
Leveraging Two-Stage Adaptive Robust Optimization for Power Flexibility Aggregation. CoRR abs/2005.03768 (2020) - [i23]Guannan Qu, Yiheng Lin, Adam Wierman, Na Li:
Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward. CoRR abs/2006.06626 (2020) - [i22]Yang Zheng, Na Li:
Non-asymptotic Identification of Linear Dynamical Systems Using Multiple Trajectories. CoRR abs/2009.00739 (2020) - [i21]Yingying Li, Subhro Das, Na Li:
Online Optimal Control with Affine Constraints. CoRR abs/2010.04891 (2020) - [i20]Xin Chen, Yingying Li, Jun Shimada, Na Li:
Online Learning and Distributed Control for Residential Demand Response. CoRR abs/2010.05153 (2020) - [i19]Zhaolin Ren, Aoxiao Zhong, Zhengyuan Zhou, Na Li:
Federated LQR: Learning through Sharing. CoRR abs/2011.01815 (2020) - [i18]Yujie Tang, Zhaolin Ren, Na Li:
Zeroth-Order Feedback Optimization for Cooperative Multi-Agent Systems. CoRR abs/2011.09728 (2020) - [i17]Yingying Li, Na Li:
Leveraging Predictions in Smoothed Online Convex Optimization via Gradient-based Algorithms. CoRR abs/2011.12539 (2020)
2010 – 2019
- 2019
- [j19]Guannan Qu, Dave Brown, Na Li:
Distributed greedy algorithm for multi-agent task assignment problem with submodular utility functions. Autom. 105: 206-215 (2019) - [j18]Guannan Qu, Na Li:
On the Exponential Stability of Primal-Dual Gradient Dynamics. IEEE Control. Syst. Lett. 3(1): 43-48 (2019) - [j17]Sindri Magnússon, Guannan Qu, Carlo Fischione, Na Li:
Voltage Control Using Limited Communication. IEEE Trans. Control. Netw. Syst. 6(3): 993-1003 (2019) - [j16]Xiaoqi Tan, Guannan Qu, Bo Sun, Na Li, Danny H. K. Tsang:
Optimal Scheduling of Battery Charging Station Serving Electric Vehicles Based on Battery Swapping. IEEE Trans. Smart Grid 10(2): 1372-1384 (2019) - [c51]Sindri Magnússon, Hossein Shokri Ghadikolaei, Na Li:
On Maintaining Linear Convergence of Distributed Learning and Optimization under Limited Communication. ACSSC 2019: 432-436 - [c50]Yujie Tang, Na Li:
Distributed Zero-Order Algorithms for Nonconvex Multi-Agent optimization. Allerton 2019: 781-786 - [c49]Yingying Li, Na Li:
Online Learning for Markov Decision Processes in Nonstationary Environments: A Dynamic Regret Analysis. ACC 2019: 1232-1237 - [c48]Sindri Magnússon, Guannan Qu, Na Li:
Distributed Voltage Control with Communication Delays. ACC 2019: 3895-3900 - [c47]Jorge I. Poveda, Na Li:
Inducing Uniform Asymptotic Stability in Non-Autonomous Accelerated Optimization Dynamics via Hybrid Regularization. CDC 2019: 3000-3005 - [c46]Guannan Qu, Na Li:
Exploiting Fast Decaying and Locality in Multi-Agent MDP with Tree Dependence Structure. CDC 2019: 6479-6486 - [c45]Sindri Magnússon, Carlo Fischione, Na Li:
Optimal Voltage Control Using Event Triggered Communication. e-Energy 2019: 343-354 - [c44]Yingying Li, Xin Chen, Na Li:
Online Optimal Control with Linear Dynamics and Predictions: Algorithms and Regret Analysis. NeurIPS 2019: 14858-14870 - [i16]Sindri Magnússon, Hossein Shokri Ghadikolaei, Na Li:
On Maintaining Linear Convergence of Distributed Learning and Optimization under Limited Communication. CoRR abs/1902.11163 (2019) - [i15]Sindri Magnússon, Guannan Qu, Na Li:
Distributed Voltage Control with Communication Delays. CoRR abs/1903.01065 (2019) - [i14]Yujie Tang, Guannan Qu, Na Li:
Semi-Global Exponential Stability of Primal-Dual Gradient Dynamics for Constrained Convex Optimization. CoRR abs/1903.09580 (2019) - [i13]Xin Chen, Na Li:
Exponential Stability of Primal-Dual Gradient Dynamics with Non-Strong Convexity. CoRR abs/1905.00298 (2019) - [i12]Guannan Qu, Na Li:
Exploiting Fast Decaying and Locality in Multi-Agent MDP with Tree Dependence Structure. CoRR abs/1909.06900 (2019) - [i11]Yang Zheng, Luca Furieri, Maryam Kamgarpour, Na Li:
On the Parameterization of Stabilizing Controllers using Closed-loop Responses. CoRR abs/1909.12346 (2019) - [i10]Guannan Qu, Adam Wierman, Na Li:
Scalable Reinforcement Learning of Localized Policies for Multi-Agent Networked Systems. CoRR abs/1912.02906 (2019) - [i9]Yingying Li, Yujie Tang, Runyu Zhang, Na Li:
Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach. CoRR abs/1912.09135 (2019) - 2018
- [j15]Sindri Magnússon, Chinwendu Enyioha, Na Li, Carlo Fischione, Vahid Tarokh:
Communication Complexity of Dual Decomposition Methods for Distributed Resource Allocation Optimization. IEEE J. Sel. Top. Signal Process. 12(4): 717-732 (2018) - [j14]Xuan Zhang, Antonis Papachristodoulou, Na Li:
Distributed Control for Reaching Optimal Steady State in Network Systems: An Optimization Approach. IEEE Trans. Autom. Control. 63(3): 864-871 (2018) - [j13]Sindri Magnússon, Chinwendu Enyioha, Na Li, Carlo Fischione, Vahid Tarokh:
Convergence of Limited Communication Gradient Methods. IEEE Trans. Autom. Control. 63(5): 1356-1371 (2018) - [j12]Takeshi Hatanaka, Nikhil Chopra, Takayuki Ishizaki, Na Li:
Passivity-Based Distributed Optimization With Communication Delays Using PI Consensus Algorithm. IEEE Trans. Autom. Control. 63(12): 4421-4428 (2018) - [j11]Guannan Qu, Na Li:
Harnessing Smoothness to Accelerate Distributed Optimization. IEEE Trans. Control. Netw. Syst. 5(3): 1245-1260 (2018) - [c43]Yingying Li, Guannan Qu, Na Li:
Using Predictions in Online Optimization with Switching Costs: A Fast Algorithm and A Fundamental Limit. ACC 2018: 3008-3013 - [c42]Takashi Tanaka, Na Li, Kenko Uchida:
On the Relationship between the VCG Mechanism and Market Clearing. ACC 2018: 4597-4603 - [c41]Tianyi Chen, Na Li, Georgios B. Giannakis:
Aggregating Flexibility of Heterogeneous Energy Resources in Distribution Networks. ACC 2018: 4604-4609 - [c40]Xin Chen, Changhong Zhao, Na Li:
Distributed Automatic Load-Frequency Control with Optimality in Power Systems. CCTA 2018: 24-31 - [c39]Yingying Li, Qinran Hu, Na Li:
Learning and Selecting the Right Customers for Reliability: A Multi-Armed Bandit Approach. CDC 2018: 4869-4874 - [i8]Xin Chen, Changhong Zhao, Na Li:
Distributed Automatic Load-Frequency Control with Optimality in Power Systems. CoRR abs/1811.00892 (2018) - [i7]Xin Chen, Emiliano Dall'Anese, Changhong Zhao, Na Li:
Aggregate Power Flexibility in Unbalanced Distribution Systems. CoRR abs/1812.05990 (2018) - 2017
- [j10]Wenbo Shi, Na Li, Chi-Cheng Peter Chu, Rajit Gadh:
Real-Time Energy Management in Microgrids. IEEE Trans. Smart Grid 8(1): 228-238 (2017) - [j9]Wei Wei, Jianhui Wang, Na Li, Shengwei Mei:
Optimal Power Flow of Radial Networks and Its Variations: A Sequential Convex Optimization Approach. IEEE Trans. Smart Grid 8(6): 2974-2987 (2017) - [c38]Xuan Zhang, Wenbo Shi, Qinran Hu, Bin Yan, Ali Malkawi, Na Li:
Distributed temperature control via Geothermal Heat Pump systems in energy efficient buildings. ACC 2017: 754-760 - [c37]Yingying Li, Na Li:
Mechanism design for reliability in demand response with uncertainty. ACC 2017: 3400-3405 - [c36]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. CCTA 2017: 1050-1057 - [c35]Yanhua Tian, Joshua A. Taylor, Na Li:
Harmonic reduction via optimal power flow and the frequency coupling matrix. CCTA 2017: 2150-2157 - [c34]Guannan Qu, Na Li:
Accelerated distributed Nesterov Gradient Descent for convex and smooth functions. CDC 2017: 2260-2267 - [c33]Xuan Zhang, Bin Yan, Wenbo Shi, Ali Malkawi, Qing-Shan Jia, Na Li:
Community-level Geothermal Heat Pump system management via an aggregation-disaggregation framework. CDC 2017: 3487-3494 - [c32]Johannes Köhler, Matthias A. Müller, Na Li, Frank Allgöwer:
Real time economic dispatch for power networks: A distributed economic model predictive control approach. CDC 2017: 6340-6345 - [c31]Takeshi Hatanaka, Xuan Zhang, Wenbo Shi, Minghui Zhu, Na Li:
Physics-integrated hierarchical/distributed HVAC optimization for multiple buildings with robustness against time delays. CDC 2017: 6573-6579 - [c30]Reza Azimi, Masoud Badiei, Xin Zhan, Na Li, Sherief Reda:
Fast Decentralized Power Capping for Server Clusters. HPCA 2017: 181-192 - [c29]Masoud Badiei Khuzani, Na Li:
Stochastic Primal-Dual Method on Riemannian Manifolds of Bounded Sectional Curvature. ICMLA 2017: 133-140 - [i6]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. CoRR abs/1701.05577 (2017) - [i5]Xuan Zhang, Wenbo Shi, Bin Yan, Ali Malkawi, Na Li:
Decentralized and Distributed Temperature Control via HVAC Systems in Energy Efficient Buildings. CoRR abs/1702.03308 (2017) - [i4]Xuan Zhang, Wenbo Shi, Qinran Hu, Bin Yan, Ali Malkawi, Na Li:
Distributed Temperature Control via Geothermal Heat Pump Systems in Energy Efficient Buildings. CoRR abs/1702.08819 (2017) - 2016
- [j8]Na Li, Changhong Zhao, Lijun Chen:
Connecting Automatic Generation Control and Economic Dispatch From an Optimization View. IEEE Trans. Control. Netw. Syst. 3(3): 254-264 (2016) - [c28]Guannan Qu, Na Li:
Accelerated Distributed Nesterov Gradient Descent for smooth and strongly convex functions. Allerton 2016: 209-216 - [c27]Sindri Magnússon, Kathryn Heal, Chinwendu Enyioha, Na Li, Carlo Fischione, Vahid Tarokh:
Convergence of limited communications gradient methods. ACC 2016: 1421-1426 - [c26]Masoud Badiei, Xin Zhan, Reza Azimi, Sherief Reda, Na Li:
DiBA: Distributed Power Budget Allocation for Large-Scale Computing Clusters. CCGrid 2016: 70-79 - [c25]Guannan Qu, Na Li:
Harnessing smoothness to accelerate distributed optimization. CDC 2016: 159-166 - [c24]Sindri Magnússon, Chinwendu Enyioha, Na Li, Carlo Fischione:
Practical coding schemes for bandwidth limited one-way communication resource allocation. CDC 2016: 221-226 - [c23]Donya Ghavidel Dobakhshari, Na Li, Vijay Gupta:
An incentive-based approach to distributed estimation with strategic sensors. CDC 2016: 6141-6146 - [c22]Sindri Magnússon, Chinwendu Enyioha, Kathryn Heal, Na Li, Carlo Fischione, Vahid Tarokh:
Distributed resource allocation using one-way communication with applications to power networks. CISS 2016: 631-636 - [c21]Martin Andreasson, Na Li:
Dynamical decentralized voltage control of multi-terminal HVDC grids. ECC 2016: 1519-1524 - [c20]Masoud Badiei, Na Li:
Distributed regularized primal-dual method. GlobalSIP 2016: 540-544 - [c19]Xuan Zhang, Wenbo Shi, Xiwang Li, Bin Yan, Ali Malkawi, Na Li:
Decentralized temperature control via HVAC systems in energy efficient buildings: An approximate solution procedure. GlobalSIP 2016: 936-940 - [c18]Hao Zhu, Na Li:
Asynchronous local voltage control in power distribution networks. ICASSP 2016: 3461-3465 - [c17]Chinwendu Enyioha, Sindri Magnússon, Kathryn Heal, Na Li, Carlo Fischione, Vahid Tarokh:
Robustness analysis for an online decentralized descent power allocation algorithm. ITA 2016: 1-8 - [c16]Ariana Minot, Yue M. Lu, Na Li:
A parallel primal-dual interior-point method for DC optimal power flow. PSCC 2016: 1-7 - [i3]Sindri Magnússon, Chinwendu Enyioha, Kathryn Heal, Na Li, Carlo Fischione, Vahid Tarokh:
Distributed Resource Allocation Using One-Way Communication with Applications to Power Networks. CoRR abs/1601.07090 (2016) - [i2]Chinwendu Enyioha, Sindri Magnússon, Kathryn Heal, Na Li, Carlo Fischione, Vahid Tarokh:
Robustness Analysis for an Online Decentralized Descent Power allocation algorithm. CoRR abs/1601.07097 (2016) - [i1]Takeshi Hatanaka, Nikhil Chopra, Takayuki Ishizaki, Na Li:
Passivity-Based Distributed Optimization with Communication Delays Using PI Consensus Algorithm. CoRR abs/1609.04666 (2016) - 2015
- [j7]Lijun Chen, Na Li:
On the Interaction Between Load Balancing and Speed Scaling. IEEE J. Sel. Areas Commun. 33(12): 2567-2578 (2015) - [j6]Lingwen Gan, Na Li, Ufuk Topcu, Steven H. Low:
Exact Convex Relaxation of Optimal Power Flow in Radial Networks. IEEE Trans. Autom. Control. 60(1): 72-87 (2015) - [j5]Na Li, Lijun Chen, Munther A. Dahleh:
Demand Response Using Linear Supply Function Bidding. IEEE Trans. Smart Grid 6(4): 1827-1838 (2015) - [c15]Ariana Minot, Na Li:
A fully distributed state estimation using matrix splitting methods. ACC 2015: 2488-2493 - [c14]Qingqing Huang, Leilai Shao, Na Li:
Dynamic detection of transmission line outages using Hidden Markov Models. ACC 2015: 5050-5055 - [c13]Na Li:
A market mechanism for electric distribution networks. CDC 2015: 2276-2282 - [c12]Xuan Zhang, Antonis Papachristodoulou, Na Li:
Distributed optimal steady-state control using reverse- and forward-engineering. CDC 2015: 5257-5264 - [c11]Masoud Badiei, Na Li, Adam Wierman:
Online convex optimization with ramp constraints. CDC 2015: 6730-6736 - [c10]Na Li, Changkun Zhao, Eun Kyoung Choe, Frank E. Ritter:
HHeal: A Personalized Health App for Flu Tracking and Prevention. CHI Extended Abstracts 2015: 1415-1420 - [c9]Na Li, Krzysztof Z. Gajos, Ken Nakayama, Ryan Enos:
TELLab: An Experiential Learning Tool for Psychology. L@S 2015: 293-297 - [c8]Joseph Jay Williams, Korinn Ostrow, Xiaolu Xiong, Elena L. Glassman, Juho Kim, Samuel G. Maldonado, Na Li, Justin Reich, Neil T. Heffernan:
Using and Designing Platforms for In Vivo Educational Experiments. L@S 2015: 409-412 - 2014
- [j4]Wenbo Shi, Na Li, Xiaorong Xie, Chi-Cheng Peter Chu, Rajit Gadh:
Optimal Residential Demand Response in Distribution Networks. IEEE J. Sel. Areas Commun. 32(7): 1441-1450 (2014) - [j3]Changhong Zhao, Ufuk Topcu, Na Li, Steven H. Low:
Design and Stability of Load-Side Primary Frequency Control in Power Systems. IEEE Trans. Autom. Control. 59(5): 1177-1189 (2014) - [j2]Na Li, Jason R. Marden:
Decoupling Coupled Constraints Through Utility Design. IEEE Trans. Autom. Control. 59(8): 2289-2294 (2014) - [c7]Na Li, Guannan Qu, Munther A. Dahleh:
Real-time decentralized voltage control in distribution networks. Allerton 2014: 582-588 - [c6]Minghui Zhu, Na Li:
Stability constrained incentive design for distributed frequency control of power grid. CDC 2014: 2487-2492 - 2013
- [j1]Na Li, Jason R. Marden:
Designing Games for Distributed Optimization. IEEE J. Sel. Top. Signal Process. 7(2): 230-242 (2013) - 2012
- [c5]Na Li, Jason R. Marden:
Designing games for distributed optimization with a time varying communication graph. CDC 2012: 7764-7769 - [c4]Rui Huang, Tiana Huang, Rajit Gadh, Na Li:
Solar generation prediction using the ARMA model in a laboratory-level micro-grid. SmartGridComm 2012: 528-533 - 2011
- [c3]Na Li, Jason R. Marden:
Designing games for distributed optimization. CDC/ECC 2011: 2434-2440 - 2010
- [c2]Na Li, Jason R. Marden:
Designing games to handle coupled constraints. CDC 2010: 250-255
2000 – 2009
- 2009
- [c1]Na Li, Jason R. Marden, Jeff S. Shamma:
Learning approaches to the Witsenhausen counterexample from a view of potential games. CDC 2009: 157-162
Coauthor Index
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