Na Li - RankMe

246 papers A* 18A 7B 3C 20Misc 6Journal 140Unranked 52

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	LILAD: Learning In-context Lyapunov-stable Adaptive Dynamics Models. AAAI Amit Jena, Na Li, Le Xie
2026	J	`jnl`	Optimism as Risk-Seeking in Multi-Agent Reinforcement Learning. IEEE Control. Syst. Lett. Runyu Zhang, Na Li, Asuman Ozdaglar, Jeff S. Shamma, Gioele Zardini
2026	J	`jnl`	SiMPO: Measure Matching for Online Diffusion Reinforcement Learning. CoRR Haitong Ma, Chenxiao Gao, Tianyi Chen, Na Li, Bo Dai
2026	J	`jnl`	Spectral Ghost in Representation Learning: from Component Analysis to Self-Supervised Learning. CoRR Bo Dai, Na Li, Dale Schuurmans
2025	—	`conf`	A Hierarchical Approach for Tractor-trailer Motion Planning Using Graph Search and Reinforcement Learning. ECC Haitong Ma, Tianpeng Zhang, Na Li, Stefano Di Cairano, Yebin Wang
2025	J	`jnl`	Are First-Order Diffusion Samplers Really Slower? A Fast Forward-Value Approach. CoRR Yuchen Jiao, Na Li, Changxiao Cai, Gen Li
2025	J	`jnl`	Continuous-Time Zeroth-Order Dynamics With Projection Maps: Model-Free Feedback Optimization With Safety Guarantees. IEEE Trans. Autom. Control. Xin Chen, Jorge I. Poveda, Na Li
2025	—	`conf`	Efficient Duple Perturbation Robustness in Low-rank MDPs. L4DC Yang Hu, Haitong Ma, Na Li, Bo Dai
2025	A*	`conf`	Efficient Online Reinforcement Learning for Diffusion Policy. ICML Haitong Ma, Tianyi Chen, Kai Wang, Na Li, Bo Dai
2025	J	`jnl`	Enhancing gaze estimation accuracy in wearable eye-tracking devices using neural networks. Neural Comput. Appl. Jerome Charton, Tianpeng Zhang, Na Li, Quanzheng Li
2025	J	`jnl`	LILAD: Learning In-context Lyapunov-stable Adaptive Dynamics Models. CoRR Amit Jena, Na Li, Le Xie
2025	J	`jnl`	Max-Entropy Reinforcement Learning with Flow Matching and A Case Study on LQR. CoRR Yuyang Zhang, Yang Hu, Bo Dai, Na Li
2025	A	`conf`	Offline Imitation Learning upon Arbitrary Demonstrations by Pre-Training Dynamics Representations. IROS Haitong Ma, Bo Dai, Zhaolin Ren, Yebin Wang, Na Li
2025	J	`jnl`	Offline Imitation Learning upon Arbitrary Demonstrations by Pre-Training Dynamics Representations. CoRR Haitong Ma, Bo Dai, Zhaolin Ren, Yebin Wang, Na Li
2025	J	`jnl`	One-Step Flow Policy Mirror Descent. CoRR Tianyi Chen, Haitong Ma, Na Li, Kai Wang, Bo Dai
2025	J	`jnl`	Optimism as Risk-Seeking in Multi-Agent Reinforcement Learning. CoRR Runyu Zhang, Na Li, Asuman Ozdaglar, Jeff S. Shamma, Gioele Zardini
2025	J	`jnl`	PIRF: Physics-Informed Reward Fine-Tuning for Diffusion Models. CoRR Mingze Yuan, Pengfei Jin, Na Li, Quanzheng Li
2025	A	`conf`	Primal-Dual Spectral Representation for Off-policy Evaluation. AISTATS Yang Hu, Tianyi Chen, Na Li, Kai Wang, Bo Dai
2025	J	`jnl`	RODS: Robust Optimization Inspired Diffusion Sampling for Detecting and Reducing Hallucination in Generative Models. CoRR Yiqi Tian, Pengfei Jin, Mingze Yuan, Na Li, Bo Zeng, Quanzheng Li
2025	J	`jnl`	Reinforcement Learning with Discrete Diffusion Policies for Combinatorial Action Spaces. CoRR Haitong Ma, Ofir Nabati, Aviv Rosenberg, Bo Dai, Oran Lang, Idan Szpektor, Craig Boutilier, Na Li, Shie Mannor, Lior Shani, Guy Tennenholtz
2025	A	`conf`	Scalable spectral representations for multiagent reinforcement learning in network MDPs. AISTATS Zhaolin Ren, Runyu Zhang, Bo Dai, Na Li
2025	J	`jnl`	Soft Diffusion Actor-Critic: Efficient Online Reinforcement Learning for Diffusion Policy. CoRR Haitong Ma, Tianyi Chen, Kai Wang, Na Li, Bo Dai
2025	J	`jnl`	Spectral Representation-based Reinforcement Learning. CoRR Chenxiao Gao, Haotian Sun, Na Li, Dale Schuurmans, Bo Dai
2025	J	`jnl`	Stochastic Nonlinear Control via Finite-Dimensional Spectral Dynamics Embedding. IEEE Trans. Autom. Control. Zhaolin Ren, Tongzheng Ren, Haitong Ma, Na Li, Bo Dai
2025	J	`jnl`	Training Task Reasoning LLM Agents for Multi-Turn Task Planning via Single-Turn Reinforcement Learning. IEEE Control. Syst. Lett. Hanjiang Hu, Changliu Liu, Na Li, Yebin Wang
2025	J	`jnl`	Zeroth-Order Constrained Optimization from a Control Perspective via Feedback Linearization. CoRR Runyu Zhang, Gioele Zardini, Asuman Ozdaglar, Jeff S. Shamma, Na Li
2024	J	`jnl`	AI Institute in Dynamic Systems: Developing machine learning and AI tools for scientific discovery, engineering design, and data-driven control. AI Mag. J. Nathan Kutz, Steven L. Brunton, Krithika Manohar, Hod Lipson, Na Li
2024	J	`jnl`	Autonomous Robotic Ultrasound System for Liver Follow-up Diagnosis: Pilot Phantom Study. CoRR Tianpeng Zhang, Sekeun Kim, Jerome Charton, Haitong Ma, Kyungsang Kim, Na Li, Quanzheng Li
2024	C	`conf`	Cooperative Multi-Agent Graph Bandits: UCB Algorithm and Regret Analysis. ACC Phevos Paschalidis, Runyu Zhang, Na Li
2024	J	`jnl`	Cooperative Multi-Agent Graph Bandits: UCB Algorithm and Regret Analysis. CoRR Phevos Paschalidis, Runyu Zhang, Na Li
2024	J	`jnl`	Distributed Thompson Sampling Under Constrained Communication. IEEE Control. Syst. Lett. Saba Zerefa, Zhaolin Ren, Haitong Ma, Na Li
2024	J	`jnl`	Distributed Thompson sampling under constrained communication. CoRR Saba Zerefa, Zhaolin Ren, Haitong Ma, Na Li
2024	J	`jnl`	Drift to Remember. CoRR Jin Du, Xinhe Zhang, Hao Shen, Xun Xian, Ganghua Wang, Jiawei Zhang, Yuhong Yang, Na Li, Jia Liu, Jie Ding
2024	J	`jnl`	Efficient Duple Perturbation Robustness in Low-rank MDPs. CoRR Yang Hu, Haitong Ma, Bo Dai, Na Li
2024	A*	`conf`	Enhancing Preference-based Linear Bandits via Human Response Time. NeurIPS Shen Li, Yuyang Zhang, Zhaolin Ren, Claire Liang, Na Li, Julie A. Shah
2024	J	`jnl`	Enhancing Preference-based Linear Bandits via Human Response Time. CoRR Shen Li, Yuyang Zhang, Zhaolin Ren, Claire Liang, Na Li, Julie A. Shah
2024	J	`jnl`	Equilibrium Selection for Multi-agent Reinforcement Learning: A Unified Framework. CoRR Runyu Zhang, Jeff S. Shamma, Na Li
2024	J	`jnl`	Gradient Play in Stochastic Games: Stationary Points, Convergence, and Sample Complexity. IEEE Trans. Autom. Control. Runyu Zhang, Zhaolin Ren, Na Li
2024	J	`jnl`	Guest Editorial Special Issue on Reinforcement Learning-Based Control: Data-Efficient and Resilient Methods. IEEE Trans. Neural Networks Learn. Syst. Weinan Gao, Na Li, Kyriakos G. Vamvoudakis, Fei Richard Yu, Zhong-Ping Jiang
2024	J	`jnl`	Minimizing the Thompson Sampling Regret-to-Sigma Ratio (TS-RSR): a provably efficient algorithm for batch Bayesian Optimization. CoRR Zhaolin Ren, Na Li
2024	—	`conf`	Multi-agent coverage control with transient behavior consideration. L4DC Runyu Zhang, Haitong Ma, Na Li
2024	J	`jnl`	Primal-Dual Spectral Representation for Off-policy Evaluation. CoRR Yang Hu, Tianyi Chen, Na Li, Kai Wang, Bo Dai
2024	C	`conf`	Scalable Reinforcement Learning for Linear-Quadratic Control of Networks. ACC Johan Olsson, Runyu Cathy Zhang, Emma Tegling, Na Li
2024	J	`jnl`	Scalable Reinforcement Learning for Linear-Quadratic Control of Networks. CoRR Johan Olsson, Runyu Zhang, Emma Tegling, Na Li
2024	J	`jnl`	Scalable spectral representations for network multiagent control. CoRR Zhaolin Ren, Runyu Zhang, Bo Dai, Na Li
2024	A	`conf`	Skill Transfer and Discovery for Sim-to-Real Learning: A Representation-Based Viewpoint. IROS Haitong Ma, Zhaolin Ren, Bo Dai, Na Li
2024	J	`jnl`	Skill Transfer and Discovery for Sim-to-Real Learning: A Representation-Based Viewpoint. CoRR Haitong Ma, Zhaolin Ren, Bo Dai, Na Li
2024	A*	`conf`	Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity. ICLR Runyu Zhang, Yang Hu, Na Li
2023	J	`jnl`	Analysis of the optimization landscape of Linear Quadratic Gaussian (LQG) control. Math. Program. Yujie Tang, Yang Zheng, Na Li
2023	J	`jnl`	Carbon-Aware Optimal Power Flow. CoRR Xin Chen, Andy Sun, Wenbo Shi, Na Li
2023	J	`jnl`	Continuous-Time Zeroth-Order Dynamics with Projection Maps: Model-Free Feedback Optimization with Safety Guarantees. CoRR Xin Chen, Jorge I. Poveda, Na Li
2023	J	`jnl`	Decentralized Riemannian natural gradient methods with Kronecker-product approximations. CoRR Jiang Hu, Kangkang Deng, Na Li, Quanzheng Li
2023	J	`jnl`	Distributed Information-Based Source Seeking. IEEE Trans. Robotics Tianpeng Zhang, Victor Qin, Yujie Tang, Na Li
2023	A*	`conf`	Escaping saddle points in zeroth-order optimization: the power of two-point estimators. ICML Zhaolin Ren, Yujie Tang, Na Li
2023	A*	`conf`	FedDAR: Federated Domain-Aware Representation Learning. ICLR Aoxiao Zhong, Hao He, Zhaolin Ren, Na Li, Quanzheng Li
2023	A	`conf`	Gaussian Max-Value Entropy Search for Multi-Agent Bayesian Optimization. IROS Haitong Ma, Tianpeng Zhang, Yixuan Wu, Flávio P. Calmon, Na Li
2023	J	`jnl`	Gaussian Max-Value Entropy Search for Multi-Agent Bayesian Optimization. CoRR Haitong Ma, Tianpeng Zhang, Yixuan Wu, Flávio P. Calmon, Na Li
2023	A*	`conf`	Latent Variable Representation for Reinforcement Learning. ICLR Tongzheng Ren, Chenjun Xiao, Tianjun Zhang, Na Li, Zhaoran Wang, Sujay Sanghavi, Dale Schuurmans, Bo Dai
2023	A	`conf`	Learning to Optimize with Stochastic Dominance Constraints. AISTATS Hanjun Dai, Yuan Xue, Niao He, Yixin Wang, Na Li, Dale Schuurmans, Bo Dai
2023	—	`conf`	Markov Games with Decoupled Dynamics: Price of Anarchy and Sample Complexity. CDC Runyu Zhang, Yuyang Zhang, Rohit Konda, Bryce L. Ferguson, Jason R. Marden, Na Li
2023	J	`jnl`	Markov Games with Decoupled Dynamics: Price of Anarchy and Sample Complexity. CoRR Runyu Zhang, Yuyang Zhang, Rohit Konda, Bryce L. Ferguson, Jason R. Marden, Na Li
2023	—	`conf`	Multi-Agent Reinforcement Learning with Reward Delays. L4DC Yuyang Zhang, Runyu Zhang, Yuantao Gu, Na Li
2023	Misc	`conf`	Multi-armed Bandit Learning on a Graph. CISS Tianpeng Zhang, Kasper Johansson, Na Li
2023	J	`jnl`	Non-asymptotic System Identification for Linear Systems with Nonlinear Policies. CoRR Yingying Li, Tianpeng Zhang, Subhro Das, Jeff S. Shamma, Na Li
2023	—	`conf`	On Controller Reduction in Linear Quadratic Gaussian Control with Performance Bounds. L4DC Zhaolin Ren, Yang Zheng, Maryam Fazel, Na Li
2023	C	`conf`	On the Optimal Control of Network LQR with Spatially-Exponential Decaying Structure. ACC Runyu Zhang, Weiyu Li, Na Li
2023	—	`conf`	Online switching control with stability and regret guarantees. L4DC Yingying Li, James A. Preiss, Na Li, Yiheng Lin, Adam Wierman, Jeff S. Shamma
2023	J	`jnl`	Online switching control with stability and regret guarantees. CoRR Yingying Li, James A. Preiss, Na Li, Yiheng Lin, Adam Wierman, Jeff S. Shamma
2023	J	`jnl`	Regularized Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity. CoRR Runyu Zhang, Yang Hu, Na Li
2023	—	`conf`	Stochastic Nonlinear Control via Finite-dimensional Spectral Dynamic Embedding. CDC Tongzheng Ren, Zhaolin Ren, Na Li, Bo Dai
2023	J	`jnl`	Stochastic Nonlinear Control via Finite-dimensional Spectral Dynamic Embedding. CoRR Tongzheng Ren, Zhaolin Ren, Na Li, Bo Dai
2023	J	`jnl`	Toward a Theoretical Foundation of Policy Optimization for Learning Control Policies. Annu. Rev. Control. Robotics Auton. Syst. Bin Hu, Kaiqing Zhang, Na Li, Mehran Mesbahi, Maryam Fazel, Tamer Basar
2023	J	`jnl`	Towards Carbon-Free Electricity: A Comprehensive Flow-Based Framework for Power Grid Carbon Accounting and Decarbonization. CoRR Xin Chen, Hungpo Chao, Wenbo Shi, Na Li
2023	J	`jnl`	Zeroth-order feedback optimization for cooperative multi-agent systems. Autom. Yujie Tang, Zhaolin Ren, Na Li
2022	J	`jnl`	Communication-Efficient Distributed SGD With Compressed Sensing. IEEE Control. Syst. Lett. Yujie Tang, Vikram Ramanathan, Junshan Zhang, Na Li
2022	J	`jnl`	Control Reconfiguration of Dynamical Systems for Improved Performance via Reverse- and Forward-Engineering. IEEE Trans. Autom. Control. Han Shu, Xuan Zhang, Na Li, Antonis Papachristodoulou
2022	J	`jnl`	Distributed Information-based Source Seeking. CoRR Tianpeng Zhang, Victor Qin, Yujie Tang, Na Li
2022	J	`jnl`	Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach. IEEE Trans. Autom. Control. Yingying Li, Yujie Tang, Runyu Zhang, Na Li
2022	—	`conf`	Escaping High-order Saddles in Policy Optimization for Linear Quadratic Gaussian (LQG) Control. CDC Yang Zheng, Yue Sun, Maryam Fazel, Na Li
2022	J	`jnl`	Escaping High-order Saddles in Policy Optimization for Linear Quadratic Gaussian (LQG) Control. CoRR Yang Zheng, Yue Sun, Maryam Fazel, Na Li
2022	J	`jnl`	FedDAR: Federated Domain-Aware Representation Learning. CoRR Aoxiao Zhong, Hao He, Zhaolin Ren, Na Li, Quanzheng Li
2022	A*	`conf`	Improve Single-Point Zeroth-Order Optimization Using High-Pass and Low-Pass Filters. ICML Xin Chen, Yujie Tang, Na Li
2022	J	`jnl`	Latent Variable Representation for Reinforcement Learning. CoRR Tongzheng Ren, Chenjun Xiao, Tianjun Zhang, Na Li, Zhaoran Wang, Sujay Sanghavi, Dale Schuurmans, Bo Dai
2022	J	`jnl`	Learning to Optimize with Stochastic Dominance Constraints. CoRR Hanjun Dai, Yuan Xue, Niao He, Bethany Wang, Na Li, Dale Schuurmans, Bo Dai
2022	J	`jnl`	Multi-Agent Reinforcement Learning with Reward Delays. CoRR Yuyang Zhang, Runyu Zhang, Gen Li, Yuantao Gu, Na Li
2022	J	`jnl`	Multi-armed Bandit Learning on a Graph. CoRR Tianpeng Zhang, Kasper Johansson, Na Li
2022	J	`jnl`	On Controller Reduction in Linear Quadratic Gaussian Control with Performance Bounds. CoRR Zhaolin Ren, Yang Zheng, Maryam Fazel, Na Li
2022	J	`jnl`	On the Effect of Log-Barrier Regularization in Decentralized Softmax Gradient Play in Multiagent Systems. CoRR Runyu Zhang, Jincheng Mei, Bo Dai, Dale Schuurmans, Na Li
2022	A*	`conf`	On the Global Convergence Rates of Decentralized Softmax Gradient Play in Markov Potential Games. NeurIPS Runyu Zhang, Jincheng Mei, Bo Dai, Dale Schuurmans, Na Li
2022	J	`jnl`	Optimal Distributed Energy Resource Coordination: A Decomposition Method Based on Distribution Locational Marginal Costs. IEEE Trans. Smart Grid Panagiotis Andrianesis, Michael Caramanis, Na Li
2022	A*	`conf`	Policy Optimization for Markov Games: Unified Framework and Faster Convergence. NeurIPS Runyu Zhang, Qinghua Liu, Huan Wang, Caiming Xiong, Na Li, Yu Bai
2022	J	`jnl`	Policy Optimization for Markov Games: Unified Framework and Faster Convergence. CoRR Runyu Zhang, Qinghua Liu, Huan Wang, Caiming Xiong, Na Li, Yu Bai
2022	J	`jnl`	Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges. IEEE Trans. Smart Grid Xin Chen, Guannan Qu, Yujie Tang, Steven H. Low, Na Li
2022	J	`jnl`	Scalable Reinforcement Learning for Multiagent Networked Systems. Oper. Res. Guannan Qu, Adam Wierman, Na Li
2022	J	`jnl`	System-level, input-output and new parameterizations of stabilizing controllers, and their numerical computation. Autom. Yang Zheng, Luca Furieri, Maryam Kamgarpour, Na Li
2022	J	`jnl`	Towards a Theoretical Foundation of Policy Optimization for Learning Control Policies. CoRR Bin Hu, Kaiqing Zhang, Na Li, Mehran Mesbahi, Maryam Fazel, Tamer Basar
2021	—	`conf`	Analysis of the Optimization Landscape of Linear Quadratic Gaussian (LQG) Control. L4DC Yujie Tang, Yang Zheng, Na Li
2021	J	`jnl`	Analysis of the Optimization Landscape of Linear Quadratic Gaussian (LQG) Control. CoRR Yang Zheng, Yujie Tang, Na Li
2021	Misc	`conf`	Assisted Learning: Cooperative AI with Autonomy. ICASSP Jiaying Zhou, Xun Xian, Na Li, Jie Ding
2021	J	`jnl`	Communication-Efficient Distributed SGD with Compressed Sensing. CoRR Yujie Tang, Vikram Ramanathan, Junshan Zhang, Na Li
2021	J	`jnl`	Distributed Automatic Load Frequency Control With Optimality in Power Systems. IEEE Trans. Control. Netw. Syst. Xin Chen, Changhong Zhao, Na Li
2021	J	`jnl`	Distributed Zero-Order Algorithms for Nonconvex Multiagent Optimization. IEEE Trans. Control. Netw. Syst. Yujie Tang, Junshan Zhang, Na Li
2021	A*	`conf`	Federated Learning over Wireless Networks: A Band-limited Coordinated Descent Approach. INFOCOM Junshan Zhang, Na Li, Mehmet Dedeoglu
2021	J	`jnl`	Federated Learning over Wireless Networks: A Band-limited Coordinated Descent Approach. CoRR Junshan Zhang, Na Li, Mehmet Dedeoglu
2021	J	`jnl`	Gradient Play in Multi-Agent Markov Stochastic Games: Stationary Points and Convergence. CoRR Runyu Zhang, Zhaolin Ren, Na Li
2021	J	`jnl`	Improve Single-Point Zeroth-Order Optimization Using High-Pass and Low-Pass Filters. CoRR Xin Chen, Yujie Tang, Na Li
2021	C	`conf`	LQR with Tracking: A Zeroth-order Approach and Its Global Convergence. ACC Zhaolin Ren, Aoxiao Zhong, Na Li
2021	J	`jnl`	Leveraging Two-Stage Adaptive Robust Optimization for Power Flexibility Aggregation. IEEE Trans. Smart Grid Xin Chen, Na Li
2021	J	`jnl`	Model-Free Optimal Voltage Control via Continuous-Time Zeroth-Order Methods. CoRR Xin Chen, Jorge I. Poveda, Na Li
2021	J	`jnl`	Non-Asymptotic Identification of Linear Dynamical Systems Using Multiple Trajectories. IEEE Control. Syst. Lett. Yang Zheng, Na Li
2021	C	`conf`	Non-asymptotic Identification of Linear Dynamical Systems Using Multiple Trajectories. ACC Yang Zheng, Na Li
2021	J	`jnl`	On the Equivalence of Youla, System-Level, and Input-Output Parameterizations. IEEE Trans. Autom. Control. Yang Zheng, Luca Furieri, Antonis Papachristodoulou, Na Li, Maryam Kamgarpour
2021	C	`conf`	On the Regret Analysis of Online LQR Control with Predictions. ACC Runyu Zhang, Yingying Li, Na Li
2021	J	`jnl`	Online Learning and Distributed Control for Residential Demand Response. IEEE Trans. Smart Grid Xin Chen, Yingying Li, Jun Shimada, Na Li
2021	A*	`conf`	Online Optimal Control with Affine Constraints. AAAI Yingying Li, Subhro Das, Na Li
2021	J	`jnl`	Online Optimization With Predictions and Switching Costs: Fast Algorithms and the Fundamental Limit. IEEE Trans. Autom. Control. Yingying Li, Guannan Qu, Na Li
2021	J	`jnl`	Online Residential Demand Response via Contextual Multi-Armed Bandits. IEEE Control. Syst. Lett. Xin Chen, Yutong Nie, Na Li
2021	J	`jnl`	Reinforcement Learning for Decision-Making and Control in Power Systems: Tutorial, Review, and Vision. CoRR Xin Chen, Guannan Qu, Yujie Tang, Steven H. Low, Na Li
2021	J	`jnl`	Robust hybrid zero-order optimization algorithms with acceleration via averaging in time. Autom. Jorge I. Poveda, Na Li
2021	J	`jnl`	Safe Adaptive Learning-based Control for Constrained Linear Quadratic Regulators with Regret Guarantees. CoRR Yingying Li, Subhro Das, Jeff S. Shamma, Na Li
2021	—	`conf`	Safe Model-Free Optimal Voltage Control via Continuous-Time Zeroth-Order Methods. CDC Xin Chen, Jorge I. Poveda, Na Li
2021	—	`conf`	Sample Complexity of Linear Quadratic Gaussian (LQG) Control for Output Feedback Systems. L4DC Yang Zheng, Luca Furieri, Maryam Kamgarpour, Na Li
2021	A	`conf`	Source Seeking by Dynamic Source Location Estimation. IROS Tianpeng Zhang, Victor Qin, Yujie Tang, Na Li
2020	J	`jnl`	A Market Mechanism for Virtual Inertia. IEEE Trans. Smart Grid Bala Kameshwar Poolla, Saverio Bolognani, Na Li, Florian Dörfler
2020	J	`jnl`	A Reliability-aware Multi-armed Bandit Approach to Learn and Select Users in Demand Response. CoRR Yingying Li, Qinran Hu, Na Li
2020	J	`jnl`	A reliability-aware multi-armed bandit approach to learn and select users in demand response. Autom. Yingying Li, Qinran Hu, Na Li
2020	J	`jnl`	ASCII: ASsisted Classification with Ignorance Interchange. CoRR Jiaying Zhou, Xun Xian, Na Li, Jie Ding
2020	J	`jnl`	Accelerated Distributed Nesterov Gradient Descent. IEEE Trans. Autom. Control. Guannan Qu, Na Li
2020	J	`jnl`	Aggregate Power Flexibility in Unbalanced Distribution Systems. IEEE Trans. Smart Grid Xin Chen, Emiliano Dall'Anese, Changhong Zhao, Na Li
2020	—	`conf`	Control Reconfiguration of Cyber-physical Systems for Improved Performance via Reverse-engineering and Accelerated First-order Algorithms. ICCPS Han Shu, Xuan Zhang, Na Li, Antonis Papachristodoulou
2020	J	`jnl`	Control Reconfiguration of Dynamical Systems for Improved Performance via Reverse-engineering and Forward-engineering. CoRR Han Shu, Xuan Zhang, Na Li, Antonis Papachristodoulou
2020	J	`jnl`	Distributed Optimal Voltage Control With Asynchronous and Delayed Communication. IEEE Trans. Smart Grid Sindri Magnússon, Guannan Qu, Na Li
2020	C	`conf`	Distributed Optimal Voltage Control for Three Phase Unbalanced Distribution Systems with DERs. IAS Niloy Patari, Anurag K. Srivastava, Guannan Qu, Na Li
2020	—	`conf`	Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach. L4DC Yingying Li, Yujie Tang, Runyu Zhang, Na Li
2020	C	`conf`	Exponential Stability of Primal-Dual Gradient Dynamics with Non-Strong Convexity. ACC Xin Chen, Na Li
2020	J	`jnl`	Federated LQR: Learning through Sharing. CoRR Zhaolin Ren, Aoxiao Zhong, Zhengyuan Zhou, Na Li
2020	A*	`conf`	Leveraging Predictions in Smoothed Online Convex Optimization via Gradient-based Algorithms. NeurIPS Yingying Li, Na Li
2020	J	`jnl`	Leveraging Predictions in Smoothed Online Convex Optimization via Gradient-based Algorithms. CoRR Yingying Li, Na Li
2020	J	`jnl`	Leveraging Two-Stage Adaptive Robust Optimization for Power Flexibility Aggregation. CoRR Xin Chen, Na Li
2020	J	`jnl`	Non-asymptotic Identification of Linear Dynamical Systems Using Multiple Trajectories. CoRR Yang Zheng, Na Li
2020	J	`jnl`	On Maintaining Linear Convergence of Distributed Learning and Optimization Under Limited Communication. IEEE Trans. Signal Process. Sindri Magnússon, Hossein Shokri Ghadikolaei, Na Li
2020	J	`jnl`	Online Learning and Distributed Control for Residential Demand Response. CoRR Xin Chen, Yingying Li, Jun Shimada, Na Li
2020	J	`jnl`	Online Optimal Control with Affine Constraints. CoRR Yingying Li, Subhro Das, Na Li
2020	J	`jnl`	Online Residential Demand Response via Contextual Multi-Armed Bandits. CoRR Xin Chen, Yutong Nie, Na Li
2020	A*	`conf`	Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward. NeurIPS Guannan Qu, Yiheng Lin, Adam Wierman, Na Li
2020	J	`jnl`	Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward. CoRR Guannan Qu, Yiheng Lin, Adam Wierman, Na Li
2020	—	`conf`	Scalable Reinforcement Learning of Localized Policies for Multi-Agent Networked Systems. L4DC Guannan Qu, Adam Wierman, Na Li
2020	J	`jnl`	Semi-global exponential stability of augmented primal-dual gradient dynamics for constrained convex optimization. Syst. Control. Lett. Yujie Tang, Guannan Qu, Na Li
2020	A*	`conf`	Soft Sensing Shirt for Shoulder Kinematics Estimation. ICRA Yichu Jin, Christina M. Glover, Haedo Cho, Oluwaseun A. Araromi, Moritz A. Graule, Na Li, Robert J. Wood, Conor J. Walsh
2020	J	`jnl`	Zeroth-Order Feedback Optimization for Cooperative Multi-Agent Systems. CoRR Yujie Tang, Zhaolin Ren, Na Li
2020	—	`conf`	Zeroth-order Feedback Optimization for Cooperative Multi-Agent Systems. CDC Yujie Tang, Zhaolin Ren, Na Li
2019	J	`jnl`	Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach. CoRR Yingying Li, Yujie Tang, Runyu Zhang, Na Li
2019	C	`conf`	Distributed Voltage Control with Communication Delays. ACC Sindri Magnússon, Guannan Qu, Na Li
2019	J	`jnl`	Distributed Voltage Control with Communication Delays. CoRR Sindri Magnússon, Guannan Qu, Na Li
2019	—	`conf`	Distributed Zero-Order Algorithms for Nonconvex Multi-Agent optimization. Allerton Yujie Tang, Na Li
2019	J	`jnl`	Distributed greedy algorithm for multi-agent task assignment problem with submodular utility functions. Autom. Guannan Qu, Dave Brown, Na Li
2019	—	`conf`	Exploiting Fast Decaying and Locality in Multi-Agent MDP with Tree Dependence Structure. CDC Guannan Qu, Na Li
2019	J	`jnl`	Exploiting Fast Decaying and Locality in Multi-Agent MDP with Tree Dependence Structure. CoRR Guannan Qu, Na Li
2019	J	`jnl`	Exponential Stability of Primal-Dual Gradient Dynamics with Non-Strong Convexity. CoRR Xin Chen, Na Li
2019	—	`conf`	Inducing Uniform Asymptotic Stability in Non-Autonomous Accelerated Optimization Dynamics via Hybrid Regularization. CDC Jorge I. Poveda, Na Li
2019	Misc	`conf`	On Maintaining Linear Convergence of Distributed Learning and Optimization under Limited Communication. ACSSC Sindri Magnússon, Hossein Shokri Ghadikolaei, Na Li
2019	J	`jnl`	On Maintaining Linear Convergence of Distributed Learning and Optimization under Limited Communication. CoRR Sindri Magnússon, Hossein Shokri Ghadikolaei, Na Li
2019	J	`jnl`	On the Exponential Stability of Primal-Dual Gradient Dynamics. IEEE Control. Syst. Lett. Guannan Qu, Na Li
2019	J	`jnl`	On the Parameterization of Stabilizing Controllers using Closed-loop Responses. CoRR Yang Zheng, Luca Furieri, Maryam Kamgarpour, Na Li
2019	C	`conf`	Online Learning for Markov Decision Processes in Nonstationary Environments: A Dynamic Regret Analysis. ACC Yingying Li, Na Li
2019	A*	`conf`	Online Optimal Control with Linear Dynamics and Predictions: Algorithms and Regret Analysis. NeurIPS Yingying Li, Xin Chen, Na Li
2019	J	`jnl`	Optimal Scheduling of Battery Charging Station Serving Electric Vehicles Based on Battery Swapping. IEEE Trans. Smart Grid Xiaoqi Tan, Guannan Qu, Bo Sun, Na Li, Danny H. K. Tsang
2019	—	`conf`	Optimal Voltage Control Using Event Triggered Communication. e-Energy Sindri Magnússon, Carlo Fischione, Na Li
2019	J	`jnl`	Scalable Reinforcement Learning of Localized Policies for Multi-Agent Networked Systems. CoRR Guannan Qu, Adam Wierman, Na Li
2019	J	`jnl`	Semi-Global Exponential Stability of Primal-Dual Gradient Dynamics for Constrained Convex Optimization. CoRR Yujie Tang, Guannan Qu, Na Li
2019	J	`jnl`	Voltage Control Using Limited Communication. IEEE Trans. Control. Netw. Syst. Sindri Magnússon, Guannan Qu, Carlo Fischione, Na Li
2018	J	`jnl`	Aggregate Power Flexibility in Unbalanced Distribution Systems. CoRR Xin Chen, Emiliano Dall'Anese, Changhong Zhao, Na Li
2018	C	`conf`	Aggregating Flexibility of Heterogeneous Energy Resources in Distribution Networks. ACC Tianyi Chen, Na Li, Georgios B. Giannakis
2018	J	`jnl`	Communication Complexity of Dual Decomposition Methods for Distributed Resource Allocation Optimization. IEEE J. Sel. Top. Signal Process. Sindri Magnússon, Chinwendu Enyioha, Na Li, Carlo Fischione, Vahid Tarokh
2018	J	`jnl`	Convergence of Limited Communication Gradient Methods. IEEE Trans. Autom. Control. Sindri Magnússon, Chinwendu Enyioha, Na Li, Carlo Fischione, Vahid Tarokh
2018	—	`conf`	Distributed Automatic Load-Frequency Control with Optimality in Power Systems. CCTA Xin Chen, Changhong Zhao, Na Li
2018	J	`jnl`	Distributed Automatic Load-Frequency Control with Optimality in Power Systems. CoRR Xin Chen, Changhong Zhao, Na Li
2018	J	`jnl`	Distributed Control for Reaching Optimal Steady State in Network Systems: An Optimization Approach. IEEE Trans. Autom. Control. Xuan Zhang, Antonis Papachristodoulou, Na Li
2018	J	`jnl`	Harnessing Smoothness to Accelerate Distributed Optimization. IEEE Trans. Control. Netw. Syst. Guannan Qu, Na Li
2018	—	`conf`	Learning and Selecting the Right Customers for Reliability: A Multi-Armed Bandit Approach. CDC Yingying Li, Qinran Hu, Na Li
2018	C	`conf`	On the Relationship between the VCG Mechanism and Market Clearing. ACC Takashi Tanaka, Na Li, Kenko Uchida
2018	J	`jnl`	Passivity-Based Distributed Optimization With Communication Delays Using PI Consensus Algorithm. IEEE Trans. Autom. Control. Takeshi Hatanaka, Nikhil Chopra, Takayuki Ishizaki, Na Li
2018	C	`conf`	Using Predictions in Online Optimization with Switching Costs: A Fast Algorithm and A Fundamental Limit. ACC Yingying Li, Guannan Qu, Na Li
2017	—	`conf`	Accelerated distributed Nesterov Gradient Descent for convex and smooth functions. CDC Guannan Qu, Na Li
2017	J	`jnl`	An Integrated Design of Optimization and Physical Dynamics for Energy Efficient Buildings: A Passivity Approach. CoRR Takeshi Hatanaka, Xuan Zhang, Wenbo Shi, Minghui Zhu, Na Li
2017	—	`conf`	An integrated design of optimization and physical dynamics for energy efficient buildings: A passivity approach. CCTA Takeshi Hatanaka, Xuan Zhang, Wenbo Shi, Minghui Zhu, Na Li
2017	—	`conf`	Community-level Geothermal Heat Pump system management via an aggregation-disaggregation framework. CDC Xuan Zhang, Bin Yan, Wenbo Shi, Ali Malkawi, Qing-Shan Jia, Na Li
2017	J	`jnl`	Decentralized and Distributed Temperature Control via HVAC Systems in Energy Efficient Buildings. CoRR Xuan Zhang, Wenbo Shi, Bin Yan, Ali Malkawi, Na Li
2017	J	`jnl`	Distributed Temperature Control via Geothermal Heat Pump Systems in Energy Efficient Buildings. CoRR Xuan Zhang, Wenbo Shi, Qinran Hu, Bin Yan, Ali Malkawi, Na Li
2017	C	`conf`	Distributed temperature control via Geothermal Heat Pump systems in energy efficient buildings. ACC Xuan Zhang, Wenbo Shi, Qinran Hu, Bin Yan, Ali Malkawi, Na Li
2017	A*	`conf`	Fast Decentralized Power Capping for Server Clusters. HPCA Reza Azimi, Masoud Badiei, Xin Zhan, Na Li, Sherief Reda
2017	—	`conf`	Harmonic reduction via optimal power flow and the frequency coupling matrix. CCTA Yanhua Tian, Joshua A. Taylor, Na Li
2017	C	`conf`	Mechanism design for reliability in demand response with uncertainty. ACC Yingying Li, Na Li
2017	J	`jnl`	Optimal Power Flow of Radial Networks and Its Variations: A Sequential Convex Optimization Approach. IEEE Trans. Smart Grid Wei Wei, Jianhui Wang, Na Li, Shengwei Mei
2017	—	`conf`	Physics-integrated hierarchical/distributed HVAC optimization for multiple buildings with robustness against time delays. CDC Takeshi Hatanaka, Xuan Zhang, Wenbo Shi, Minghui Zhu, Na Li
2017	—	`conf`	Real time economic dispatch for power networks: A distributed economic model predictive control approach. CDC Johannes Köhler, Matthias A. Müller, Na Li, Frank Allgöwer
2017	J	`jnl`	Real-Time Energy Management in Microgrids. IEEE Trans. Smart Grid Wenbo Shi, Na Li, Chi-Cheng Peter Chu, Rajit Gadh
2017	C	`conf`	Stochastic Primal-Dual Method on Riemannian Manifolds of Bounded Sectional Curvature. ICMLA Masoud Badiei Khuzani, Na Li
2016	—	`conf`	A parallel primal-dual interior-point method for DC optimal power flow. PSCC Ariana Minot, Yue M. Lu, Na Li
2016	—	`conf`	Accelerated Distributed Nesterov Gradient Descent for smooth and strongly convex functions. Allerton Guannan Qu, Na Li
2016	—	`conf`	An incentive-based approach to distributed estimation with strategic sensors. CDC Donya Ghavidel Dobakhshari, Na Li, Vijay Gupta
2016	Misc	`conf`	Asynchronous local voltage control in power distribution networks. ICASSP Hao Zhu, Na Li
2016	J	`jnl`	Connecting Automatic Generation Control and Economic Dispatch From an Optimization View. IEEE Trans. Control. Netw. Syst. Na Li, Changhong Zhao, Lijun Chen
2016	C	`conf`	Convergence of limited communications gradient methods. ACC Sindri Magnússon, Kathryn Heal, Chinwendu Enyioha, Na Li, Carlo Fischione, Vahid Tarokh
2016	—	`conf`	Decentralized temperature control via HVAC systems in energy efficient buildings: An approximate solution procedure. GlobalSIP Xuan Zhang, Wenbo Shi, Xiwang Li, Bin Yan, Ali Malkawi, Na Li
2016	B	`conf`	DiBA: Distributed Power Budget Allocation for Large-Scale Computing Clusters. CCGrid Masoud Badiei, Xin Zhan, Reza Azimi, Sherief Reda, Na Li
2016	J	`jnl`	Distributed Resource Allocation Using One-Way Communication with Applications to Power Networks. CoRR Sindri Magnússon, Chinwendu Enyioha, Kathryn Heal, Na Li, Carlo Fischione, Vahid Tarokh
2016	—	`conf`	Distributed regularized primal-dual method. GlobalSIP Masoud Badiei, Na Li
2016	Misc	`conf`	Distributed resource allocation using one-way communication with applications to power networks. CISS Sindri Magnússon, Chinwendu Enyioha, Kathryn Heal, Na Li, Carlo Fischione, Vahid Tarokh
2016	—	`conf`	Dynamical decentralized voltage control of multi-terminal HVDC grids. ECC Martin Andreasson, Na Li
2016	—	`conf`	Harnessing smoothness to accelerate distributed optimization. CDC Guannan Qu, Na Li
2016	J	`jnl`	Passivity-Based Distributed Optimization with Communication Delays Using PI Consensus Algorithm. CoRR Takeshi Hatanaka, Nikhil Chopra, Takayuki Ishizaki, Na Li
2016	—	`conf`	Practical coding schemes for bandwidth limited one-way communication resource allocation. CDC Sindri Magnússon, Chinwendu Enyioha, Na Li, Carlo Fischione
2016	J	`jnl`	Robustness Analysis for an Online Decentralized Descent Power allocation algorithm. CoRR Chinwendu Enyioha, Sindri Magnússon, Kathryn Heal, Na Li, Carlo Fischione, Vahid Tarokh
2016	Misc	`conf`	Robustness analysis for an online decentralized descent power allocation algorithm. ITA Chinwendu Enyioha, Sindri Magnússon, Kathryn Heal, Na Li, Carlo Fischione, Vahid Tarokh
2015	C	`conf`	A fully distributed state estimation using matrix splitting methods. ACC Ariana Minot, Na Li
2015	—	`conf`	A market mechanism for electric distribution networks. CDC Na Li
2015	J	`jnl`	Demand Response Using Linear Supply Function Bidding. IEEE Trans. Smart Grid Na Li, Lijun Chen, Munther A. Dahleh
2015	—	`conf`	Distributed optimal steady-state control using reverse- and forward-engineering. CDC Xuan Zhang, Antonis Papachristodoulou, Na Li
2015	C	`conf`	Dynamic detection of transmission line outages using Hidden Markov Models. ACC Qingqing Huang, Leilai Shao, Na Li
2015	J	`jnl`	Exact Convex Relaxation of Optimal Power Flow in Radial Networks. IEEE Trans. Autom. Control. Lingwen Gan, Na Li, Ufuk Topcu, Steven H. Low
2015	—	`conf`	HHeal: A Personalized Health App for Flu Tracking and Prevention. CHI Extended Abstracts Na Li, Changkun Zhao, Eun Kyoung Choe, Frank E. Ritter
2015	J	`jnl`	On the Interaction Between Load Balancing and Speed Scaling. IEEE J. Sel. Areas Commun. Lijun Chen, Na Li
2015	—	`conf`	Online convex optimization with ramp constraints. CDC Masoud Badiei, Na Li, Adam Wierman
2015	B	`conf`	TELLab: An Experiential Learning Tool for Psychology. L@S Na Li, Krzysztof Z. Gajos, Ken Nakayama, Ryan Enos
2015	J	`jnl`	Using and Designing Platforms for In Vivo Education Experiments. CoRR Joseph Jay Williams, Korinn Ostrow, Xiaolu Xiong, Elena L. Glassman, Juho Kim, Samuel G. Maldonado, Na Li, Justin Reich, Neil T. Heffernan
2015	B	`conf`	Using and Designing Platforms for In Vivo Educational Experiments. L@S Joseph Jay Williams, Korinn Ostrow, Xiaolu Xiong, Elena L. Glassman, Juho Kim, Samuel G. Maldonado, Na Li, Justin Reich, Neil T. Heffernan
2014	C	`conf`	Connecting automatic generation control and economic dispatch from an optimization view. ACC Na Li, Lijun Chen, Changhong Zhao, Steven H. Low
2014	J	`jnl`	Decoupling Coupled Constraints Through Utility Design. IEEE Trans. Autom. Control. Na Li, Jason R. Marden
2014	J	`jnl`	Design and Stability of Load-Side Primary Frequency Control in Power Systems. IEEE Trans. Autom. Control. Changhong Zhao, Ufuk Topcu, Na Li, Steven H. Low
2014	J	`jnl`	Optimal Residential Demand Response in Distribution Networks. IEEE J. Sel. Areas Commun. Wenbo Shi, Na Li, Xiaorong Xie, Chi-Cheng Peter Chu, Rajit Gadh
2014	—	`conf`	Real-time decentralized voltage control in distribution networks. Allerton Na Li, Guannan Qu, Munther A. Dahleh
2014	—	`conf`	Stability constrained incentive design for distributed frequency control of power grid. CDC Minghui Zhu, Na Li
2013	J	`jnl`	Designing Games for Distributed Optimization. IEEE J. Sel. Top. Signal Process. Na Li, Jason R. Marden
2013	A*	`conf`	Exact convex relaxation for optimal power flow in distribution networks. SIGMETRICS Lingwen Gan, Na Li, Steven H. Low, Ufuk Topcu
2013	—	`conf`	Optimal power flow in tree networks. CDC Lingwen Gan, Na Li, Ufuk Topcu, Steven H. Low
2013	J	`jnl`	Power System Dynamics as Primal-Dual Algorithm for Optimal Load Control CoRR Changhong Zhao, Ufuk Topcu, Na Li, Steven H. Low
2012	—	`conf`	An optimization-based demand response in radial distribution networks. GLOBECOM Workshops Na Li, Lingwen Gan, Lijun Chen, Steven H. Low
2012	—	`conf`	Demand response in radial distribution networks: Distributed algorithm. ACSCC Na Li, Lijun Chen, Steven H. Low
2012	—	`conf`	Designing games for distributed optimization with a time varying communication graph. CDC Na Li, Jason R. Marden
2012	—	`conf`	Exact convex relaxation of OPF for radial networks using branch flow model. SmartGridComm Na Li, Lijun Chen, Steven H. Low
2012	—	`conf`	On the exactness of convex relaxation for optimal power flow in tree networks. CDC Lingwen Gan, Na Li, Ufuk Topcu, Steven H. Low
2012	—	`conf`	Solar generation prediction using the ARMA model in a laboratory-level micro-grid. SmartGridComm Rui Huang, Tiana Huang, Rajit Gadh, Na Li
2011	—	`conf`	Designing games for distributed optimization. CDC/ECC Na Li, Jason R. Marden
2010	—	`conf`	Designing games to handle coupled constraints. CDC Na Li, Jason R. Marden
2009	—	`conf`	Learning approaches to the Witsenhausen counterexample from a view of potential games. CDC Na Li, Jason R. Marden, Jeff S. Shamma