Guannan Qu

According to our database, Guannan Qu authored at least 84 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Stability Constrained Reinforcement Learning for Decentralized Real-Time Voltage Control.

Jie Feng, Yuanyuan Shi, Guannan Qu, Steven H. Low, Anima Anandkumar, Adam Wierman

IEEE Trans. Control. Netw. Syst., September, 2024

Decentralized graph-based multi-agent reinforcement learning using reward machines.

Jueming Hu, Zhe Xu, Weichang Wang, Guannan Qu, Yutian Pang, Yongming Liu

Neurocomputing, January, 2024

Full-Order Sampling-Based MPC for Torque-Level Locomotion Control via Diffusion-Style Annealing.

Haoru Xue, Chaoyi Pan, Zeji Yi, Guannan Qu, Guanya Shi

CoRR, 2024

Predictive Control and Regret Analysis of Non-Stationary MDP with Look-ahead Information.

Ziyi Zhang, Yorie Nakahira, Guannan Qu

CoRR, 2024

Model-Based Diffusion for Trajectory Optimization.

Chaoyi Pan, Zeji Yi, Guanya Shi, Guannan Qu

CoRR, 2024

Learning to Stabilize Unknown LTI Systems on a Single Trajectory under Stochastic Noise.

Ziyi Zhang, Yorie Nakahira, Guannan Qu

CoRR, 2024

Efficient Reinforcement Learning for Global Decision Making in the Presence of Local Agents at Scale.

Emile Anand, Guannan Qu

CoRR, 2024

CoVO-MPC: Theoretical analysis of sampling-based MPC and optimal covariance design.

Zeji Yi, Chaoyi Pan, Guanqi He, Guannan Qu, Guanya Shi

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Combining model-based controller and ML advice via convex reparameterization.

Junxuan Shen, Adam Wierman, Guannan Qu

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Locally Interdependent Multi-Agent MDP: Theoretical Framework for Decentralized Agents with Dynamic Dependencies.

Alex DeWeese, Guannan Qu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Stability and Regret Bounds on Distributed Truncated Predictive Control for Networked Dynamical Systems.

Eric Xu, Guannan Qu

Proceedings of the American Control Conference, 2024

Efficient Reinforcement Learning for Routing Jobs in Heterogeneous Queueing Systems.

Neharika Jali, Guannan Qu, Weina Wang, Gauri Joshi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Near-Optimal Distributed Linear-Quadratic Regulator for Networked Systems.

Sungho Shin, Yiheng Lin, Guannan Qu, Adam Wierman, Mihai Anitescu

SIAM J. Control. Optim., June, 2023

Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning.

Yizhou Zhang, Guannan Qu, Pan Xu, Yiheng Lin, Zaiwei Chen, Adam Wierman

Proc. ACM Meas. Anal. Comput. Syst., March, 2023

A Scalable Network-Aware Multi-Agent Reinforcement Learning Framework for Decentralized Inverter-based Voltage Control.

Han Xu, Jialin Zheng, Guannan Qu

CoRR, 2023

Compositional Neural Certificates for Networked Dynamical Systems.

Songyuan Zhang, Yumeng Xiu, Guannan Qu, Chuchu Fan

Proceedings of the Learning for Dynamics and Control Conference, 2023

Natural Policy Gradient Preserves Spatial Decay Properties for Control of Networked Dynamical Systems.

Eric Xu, Guannan Qu

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Discrete-Time Systems.

Sahin Lale, Yuanyuan Shi, Guannan Qu, Kamyar Azizzadenesheli, Adam Wierman, Anima Anandkumar

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Scalable Reinforcement Learning for Multiagent Networked Systems.

Guannan Qu, Adam Wierman, Na Li

Oper. Res., November, 2022

Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges.

Xin Chen, Guannan Qu, Yujie Tang, Steven H. Low, Na Li

IEEE Trans. Smart Grid, 2022

Robustness and Consistency in Linear Quadratic Control with Untrusted Predictions.

Tongxin Li, Ruixiao Yang, Guannan Qu, Guanya Shi, Chenkai Yu, Adam Wierman, Steven H. Low

Proc. ACM Meas. Anal. Comput. Syst., 2022

Stability Constrained Reinforcement Learning for Real-Time Voltage Control in Distribution Systems.

Jie Feng, Yuanyuan Shi, Guannan Qu, Steven H. Low, Anima Anandkumar, Adam Wierman

CoRR, 2022

KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Dynamical Systems.

Sahin Lale, Yuanyuan Shi, Guannan Qu, Kamyar Azizzadenesheli, Adam Wierman, Anima Anandkumar

CoRR, 2022

Equipping Black-Box Policies with Model-Based Advice for Stable Nonlinear Control.

Tongxin Li, Ruixiao Yang, Guannan Qu, Yiheng Lin, Steven H. Low, Adam Wierman

CoRR, 2022

Biogeography-based optimization with adaptive migration and adaptive mutation with its application in sidelobe reduction of antenna arrays.

Shuang Liang, Zhiyi Fang, Geng Sun, Guannan Qu

Appl. Soft Comput., 2022

Bounded-Regret MPC via Perturbation Analysis: Prediction Error, Constraints, and Nonlinearity.

Yiheng Lin, Yang Hu, Guannan Qu, Tongxin Li, Adam Wierman

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory.

Yang Hu, Adam Wierman, Guannan Qu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Decentralized Online Convex Optimization in Networked Systems.

Yiheng Lin, Judy Gan, Guannan Qu, Yash Kanoria, Adam Wierman

Proceedings of the International Conference on Machine Learning, 2022

Stability Constrained Reinforcement Learning for Real-Time Voltage Control.

Yuanyuan Shi, Guannan Qu, Steven H. Low, Anima Anandkumar, Adam Wierman

Proceedings of the American Control Conference, 2022

On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory (Extended Abstract).

Yang Hu, Adam Wierman, Guannan Qu

Proceedings of the 58th Annual Allerton Conference on Communication, 2022

2021

Online Optimization With Predictions and Switching Costs: Fast Algorithms and the Fundamental Limit.

Yingying Li, Guannan Qu, Na Li

IEEE Trans. Autom. Control., 2021

Explicating the business model from a knowledge-based view: nature, structure, imitability and competitive advantage erosion.

Jin Chen, Luyao Wang, Guannan Qu

J. Knowl. Manag., 2021

Robustness and Consistency in Linear Quadratic Control with Predictions.

Tongxin Li, Ruixiao Yang, Guannan Qu, Guanya Shi, Chenkai Yu, Adam Wierman, Steven H. Low

CoRR, 2021

Reinforcement Learning for Decision-Making and Control in Power Systems: Tutorial, Review, and Vision.

Xin Chen, Guannan Qu, Yujie Tang, Steven H. Low, Na Li

CoRR, 2021

Multi-Agent Reinforcement Learning in Stochastic Networked Systems.

Yiheng Lin, Guannan Qu, Longbo Huang, Adam Wierman

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems.

Yiheng Lin, Yang Hu, Guanya Shi, Haoyuan Sun, Guannan Qu, Adam Wierman

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Stable Online Control of Linear Time-Varying Systems.

Guannan Qu, Yuanyuan Shi, Sahin Lale, Anima Anandkumar, Adam Wierman

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Exploiting Linear Models for Model-Free Nonlinear Control: A Provably Convergent Policy Gradient Approach.

Guannan Qu, Chenkai Yu, Steven H. Low, Adam Wierman

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Distributed Optimal Voltage Control With Asynchronous and Delayed Communication.

Sindri Magnússon, Guannan Qu, Na Li

IEEE Trans. Smart Grid, 2020

Accelerated Distributed Nesterov Gradient Descent.

Guannan Qu, Na Li

IEEE Trans. Autom. Control., 2020

Semi-global exponential stability of augmented primal-dual gradient dynamics for constrained convex optimization.

Yujie Tang, Guannan Qu, Na Li

Syst. Control. Lett., 2020

Combining Model-Based and Model-Free Methods for Nonlinear Control: A Provably Convergent Policy Gradient Approach.

Guannan Qu, Chenkai Yu, Steven H. Low, Adam Wierman

CoRR, 2020

Distributed Reinforcement Learning in Multi-Agent Networked Systems.

Yiheng Lin, Guannan Qu, Longbo Huang, Adam Wierman

CoRR, 2020

A joint optimization approach for distributed collaborative beamforming in mobile wireless sensor networks.

Shuang Liang, Zhiyi Fang, Geng Sun, Yanheng Liu, Guannan Qu, Suhanya Jayaprakasam, Ying Zhang

Ad Hoc Networks, 2020

Sidelobe Reductions of Antenna Arrays via an Improved Chicken Swarm Optimization Approach.

Shuang Liang, Zhiyi Fang, Geng Sun, Yanheng Liu, Guannan Qu, Ying Zhang

IEEE Access, 2020

Learning Optimal Power Flow: Worst-Case Guarantees for Neural Networks.

Andreas Venzke, Guannan Qu, Steven H. Low, Spyros Chatzivasileiadis

Proceedings of the 2020 IEEE International Conference on Communications, 2020

Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward.

Guannan Qu, Yiheng Lin, Adam Wierman, Na Li

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Scalable Reinforcement Learning of Localized Policies for Multi-Agent Networked Systems.

Guannan Qu, Adam Wierman, Na Li

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Distributed Optimal Voltage Control for Three Phase Unbalanced Distribution Systems with DERs.

Niloy Patari, Anurag K. Srivastava, Guannan Qu, Na Li

Proceedings of the IEEE Industry Applications Society Annual Meeting, 2020

Finite-Time Analysis of Asynchronous Stochastic Approximation and $Q$-Learning.

Guannan Qu, Adam Wierman

Proceedings of the Conference on Learning Theory, 2020

2019

Optimal Scheduling of Battery Charging Station Serving Electric Vehicles Based on Battery Swapping.

Xiaoqi Tan, Guannan Qu, Bo Sun, Na Li, Danny H. K. Tsang

IEEE Trans. Smart Grid, 2019

Voltage Control Using Limited Communication.

Sindri Magnússon, Guannan Qu, Carlo Fischione, Na Li

IEEE Trans. Control. Netw. Syst., 2019

On the Exponential Stability of Primal-Dual Gradient Dynamics.

Guannan Qu, Na Li

IEEE Control. Syst. Lett., 2019

Semi-Global Exponential Stability of Primal-Dual Gradient Dynamics for Constrained Convex Optimization.

Yujie Tang, Guannan Qu, Na Li

CoRR, 2019

Distributed greedy algorithm for multi-agent task assignment problem with submodular utility functions.

Guannan Qu, Dave Brown, Na Li

Autom., 2019

JSSA: Joint Sidelobe Suppression Approach for Collaborative Beamforming in Wireless Sensor Networks.

Shuang Liang, Zhiyi Fang, Geng Sun, Yanheng Liu, Xiaohui Zhao, Guannan Qu, Ying Zhang, Victor C. M. Leung

IEEE Access, 2019

Exploiting Fast Decaying and Locality in Multi-Agent MDP with Tree Dependence Structure.

Guannan Qu, Na Li

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Distributed Voltage Control with Communication Delays.

Sindri Magnússon, Guannan Qu, Na Li

Proceedings of the 2019 American Control Conference, 2019

2018

Harnessing Smoothness to Accelerate Distributed Optimization.

Guannan Qu, Na Li

IEEE Trans. Control. Netw. Syst., 2018

Elastic Scheduling for Scaling Virtual Clusters in Cloud Data Center Networks.

Shuaibing Lu, Zhiyi Fang, Jie Wu, Guannan Qu

IEEE Access, 2018

Using Predictions in Online Optimization with Switching Costs: A Fast Algorithm and A Fundamental Limit.

Yingying Li, Guannan Qu, Na Li

Proceedings of the 2018 Annual American Control Conference, 2018

2017

An accurate traffic classification model based on support vector machines.

Jie Cao, Zhiyi Fang, Guannan Qu, Hongyu Sun, Dan Zhang

Int. J. Netw. Manag., 2017

Elastic scaling of virtual clusters in cloud data center networks.

Shuaibing Lu, Zhiyi Fang, Jie Wu, Guannan Qu

Proceedings of the 36th IEEE International Performance Computing and Communications Conference, 2017

Constructing Algorithm of MLMS Data Center Network.

Jianfei Zhang, Weiwu Ren, Guannan Qu

Proceedings of the Geo-Spatial Knowledge and Intelligence - 5th International Conference, 2017

An Improved Interconnection Network for Data Center Based on BCube Structure.

Jianfei Zhang, Weiwu Ren, Guannan Qu

Proceedings of the Geo-Spatial Knowledge and Intelligence - 5th International Conference, 2017

Accelerated distributed Nesterov Gradient Descent for convex and smooth functions.

Guannan Qu, Na Li

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

Accelerated Distributed Nesterov Gradient Descent for smooth and strongly convex functions.

Guannan Qu, Na Li

Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2015

Switch-Centric Data Center Network Structures Based on Hypergraphs and Combinatorial Block Designs.

Guannan Qu, Zhiyi Fang, Jianfei Zhang, Si-Qing Zheng

IEEE Trans. Parallel Distributed Syst., 2015

Implementing High Throughput Contention-Tolerant Crossbar Switch.

Zhiyi Fang, Shuaibing Lu, Guannan Qu, Jianfei Zhang, S. Q. Zheng

J. Commun., 2015

Network Traffic Classification Using Feature Selection and Parameter Optimization.

Jie Cao, Zhiyi Fang, Dan Zhang, Guannan Qu

J. Commun., 2015

ETBAC-Based Model in Media Oriented System Transport Network.

Shuaibing Lu, Zhiyi Fang, Guannan Qu, Song Gao

Proceedings of the 15th IEEE International Conference on Computer and Information Technology, 2015

2014

Real-time decentralized voltage control in distribution networks.

Na Li, Guannan Qu, Munther A. Dahleh

Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

2013

A high-performance switch architecture based on mesh of trees.

Hyung Jae Chang, Guannan Qu, S. Q. Zheng

Int. J. Commun. Syst., 2013

Short-term wind power forecasting based on numerical weather prediction adjustment.

Guannan Qu, Jie Mei, Dawei He

Proceedings of the 11th IEEE International Conference on Industrial Informatics, 2013

Design considerations for non-intrusive load monitoring hardware platforms in smart building.

Jie Mei, Siming Yan, Guannan Qu, Dawei He, Thomas G. Habetler

Proceedings of the 2013 IEEE Industry Applications Society Annual Meeting, 2013

A new class of data center network structures.

Jianfei Zhang, Zhiyi Fang, Guannan Qu, Si-Qing Zheng

Proceedings of the 2013 IEEE Global Communications Conference, 2013

2011

Contention-tolerant crossbar packet switches.

Guannan Qu, Hyung Jae Chang, Jianping Wang, Zhiyi Fang, S. Q. Zheng

Int. J. Commun. Syst., 2011

2010

Queueing Analysis of Multi-Layer Contention-Tolerant Crossbar Switch.

Guannan Qu, Hyung Jae Chang, Jianping Wang, Zhiyi Fang, Si-Qing Zheng

IEEE Commun. Lett., 2010

CSCW-based supply chain performance analysis system.

Yanping Wang, Bo Sun, Guannan Qu

Proceedings of the International Conference on Networked Computing and Advanced Information Management, 2010

Contention-Tolerant Crossbar Packet Switches without and with Speedup.

Guannan Qu, Hyung Jae Chang, Jianping Wang, Zhiyi Fang, S. Q. Zheng

Proceedings of IEEE International Conference on Communications, 2010

Designing fully distributed scheduling algorithms for contention-tolerant crossbar switches.

Guannan Qu, Hyung Jae Chang, Jianping Wang, Zhiyi Fang, Si-Qing Zheng

Proceedings of the 11th IEEE International Conference on High Performance Switching and Routing, 2010

Making Contention-Tolerant Crossbar Switch Scalable.

Hyung Jae Chang, Guannan Qu, Jianping Wang, S. Q. Zheng

Proceedings of the Global Communications Conference, 2010

2007

A Framework of Agent-Based Collaborative Intelligent Transport System.

Xiaonan Liu, Zhiyi Fang, Guannan Qu, Hongjun Yang, Tong Pan

Proceedings of the 11th International Conference on Computer Supported Cooperative Work in Design, 2007

2006

A Framework of Agent-Based Supply Chain Performance Analysis System.

Guannan Qu, Zhiyi Fang, Chao Zhang

Proceedings of the Information Technology For Balanced Manufacturing Systems, 2006