Guannan Qu

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 83

Top Venues

Publications

Jueming Hu, Zhe Xu, Weichang Wang, Guannan Qu, Yutian Pang, Yongming Liu
Decentralized graph-based multi-agent reinforcement learning using reward machines. Neurocomputing 564 (2024)
Zeji Yi, Chaoyi Pan, Guanqi He, Guannan Qu, Guanya Shi
CoVO-MPC: Theoretical Analysis of Sampling-based MPC and Optimal Covariance Design. CoRR (2024)
Zeji Yi, Chaoyi Pan, Guanqi He, Guannan Qu, Guanya Shi
CoVO-MPC: Theoretical analysis of sampling-based MPC and optimal covariance design. L4DC (2024)
Alex DeWeese, Guannan Qu
Locally Interdependent Multi-Agent MDP: Theoretical Framework for Decentralized Agents with Dynamic Dependencies. CoRR (2024)
Neharika Jali, Guannan Qu, Weina Wang, Gauri Joshi
Efficient Reinforcement Learning for Routing Jobs in Heterogeneous Queueing Systems. CoRR (2024)
Chaoyi Pan, Zeji Yi, Guanya Shi, Guannan Qu
Model-Based Diffusion for Trajectory Optimization. CoRR (2024)
Ziyi Zhang, Yorie Nakahira, Guannan Qu
Learning to Stabilize Unknown LTI Systems on a Single Trajectory under Stochastic Noise. CoRR (2024)
Emile Anand, Guannan Qu
Efficient Reinforcement Learning for Global Decision Making in the Presence of Local Agents at Scale. CoRR (2024)
Neharika Jali, Guannan Qu, Weina Wang, Gauri Joshi
Efficient Reinforcement Learning for Routing Jobs in Heterogeneous Queueing Systems. AISTATS (2024)
Junxuan Shen, Adam Wierman, Guannan Qu
Combining model-based controller and ML advice via convex reparameterization. L4DC (2024)
Songyuan Zhang, Yumeng Xiu, Guannan Qu, Chuchu Fan
Compositional Neural Certificates for Networked Dynamical Systems. CoRR (2023)
Eric Xu, Guannan Qu
Stability and Regret bounds on Distributed Truncated Predictive Control for Networked Dynamical Systems. CoRR (2023)
Han Xu, Jialin Zheng, Guannan Qu
A Scalable Network-Aware Multi-Agent Reinforcement Learning Framework for Decentralized Inverter-based Voltage Control. CoRR (2023)
Yizhou Zhang, Guannan Qu, Pan Xu, Yiheng Lin, Zaiwei Chen, Adam Wierman
Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning. SIGMETRICS (Abstracts) (2023)
Eric Xu, Guannan Qu
Natural Policy Gradient Preserves Spatial Decay Properties for Control of Networked Dynamical Systems. CDC (2023)
Yizhou Zhang, Guannan Qu, Pan Xu, Yiheng Lin, Zaiwei Chen, Adam Wierman
Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning. Proc. ACM Meas. Anal. Comput. Syst. 7 (1) (2023)
Sahin Lale, Yuanyuan Shi, Guannan Qu, Kamyar Azizzadenesheli, Adam Wierman, Anima Anandkumar
KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Discrete-Time Systems. CDC (2023)
Songyuan Zhang, Yumeng Xiu, Guannan Qu, Chuchu Fan
Compositional Neural Certificates for Networked Dynamical Systems. L4DC (2023)
Sungho Shin, Yiheng Lin, Guannan Qu, Adam Wierman, Mihai Anitescu
Near-Optimal Distributed Linear-Quadratic Regulator for Networked Systems. SIAM J. Control. Optim. 61 (3) (2023)
Yang Hu, Adam Wierman, Guannan Qu
On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory. CoRR (2022)
Tongxin Li, Ruixiao Yang, Guannan Qu, Yiheng Lin, Steven H. Low, Adam Wierman
Equipping Black-Box Policies with Model-Based Advice for Stable Nonlinear Control. CoRR (2022)
Jie Feng, Yuanyuan Shi, Guannan Qu, Steven H. Low, Anima Anandkumar, Adam Wierman
Stability Constrained Reinforcement Learning for Real-Time Voltage Control in Distribution Systems. CoRR (2022)
Sahin Lale, Yuanyuan Shi, Guannan Qu, Kamyar Azizzadenesheli, Adam Wierman, Anima Anandkumar
KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Dynamical Systems. CoRR (2022)
Yang Hu, Adam Wierman, Guannan Qu
On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory (Extended Abstract). Allerton (2022)
Guannan Qu, Adam Wierman, Na Li
Scalable Reinforcement Learning for Multiagent Networked Systems. Oper. Res. 70 (6) (2022)
Yizhou Zhang, Guannan Qu, Pan Xu, Yiheng Lin, Zaiwei Chen, Adam Wierman
Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning. CoRR (2022)
Yiheng Lin, Judy Gan, Guannan Qu, Yash Kanoria, Adam Wierman
Decentralized Online Convex Optimization in Networked Systems. ICML (2022)
Yiheng Lin, Yang Hu, Guannan Qu, Tongxin Li, Adam Wierman
Bounded-Regret MPC via Perturbation Analysis: Prediction Error, Constraints, and Nonlinearity. NeurIPS (2022)
Sungho Shin, Yiheng Lin, Guannan Qu, Adam Wierman, Mihai Anitescu
Near-Optimal Distributed Linear-Quadratic Regulator for Networked Systems. CoRR (2022)
Tongxin Li, Ruixiao Yang, Guannan Qu, Guanya Shi, Chenkai Yu, Adam Wierman, Steven H. Low
Robustness and Consistency in Linear Quadratic Control with Untrusted Predictions. SIGMETRICS (Abstracts) (2022)
Yuanyuan Shi, Guannan Qu, Steven H. Low, Anima Anandkumar, Adam Wierman
Stability Constrained Reinforcement Learning for Real-Time Voltage Control. ACC (2022)
Yang Hu, Adam Wierman, Guannan Qu
On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory. NeurIPS (2022)
Shuang Liang, Zhiyi Fang, Geng Sun, Guannan Qu
Biogeography-based optimization with adaptive migration and adaptive mutation with its application in sidelobe reduction of antenna arrays. Appl. Soft Comput. 121 (2022)
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) (2022)
Tongxin Li, Ruixiao Yang, Guannan Qu, Guanya Shi, Chenkai Yu, Adam Wierman, Steven H. Low
Robustness and Consistency in Linear Quadratic Control with Untrusted Predictions. Proc. ACM Meas. Anal. Comput. Syst. 6 (1) (2022)
Yiheng Lin, Yang Hu, Haoyuan Sun, Guanya Shi, Guannan Qu, Adam Wierman
Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems. CoRR (2021)
Guannan Qu, Yuanyuan Shi, Sahin Lale, Anima Anandkumar, Adam Wierman
Stable Online Control of Linear Time-Varying Systems. CoRR (2021)
Yuanyuan Shi, Guannan Qu, Steven H. Low, Anima Anandkumar, Adam Wierman
Stability Constrained Reinforcement Learning for Real-Time Voltage Control. CoRR (2021)
Guannan Qu, Yuanyuan Shi, Sahin Lale, Anima Anandkumar, Adam Wierman
Stable Online Control of Linear Time-Varying Systems. L4DC (2021)
Yiheng Lin, Yang Hu, Guanya Shi, Haoyuan Sun, Guannan Qu, Adam Wierman
Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems. NeurIPS (2021)
Tongxin Li, Ruixiao Yang, Guannan Qu, Guanya Shi, Chenkai Yu, Adam Wierman, Steven H. Low
Robustness and Consistency in Linear Quadratic Control with Predictions. CoRR (2021)
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 (2021)
Jin Chen, Luyao Wang, Guannan Qu
Explicating the business model from a knowledge-based view: nature, structure, imitability and competitive advantage erosion. J. Knowl. Manag. 25 (1) (2021)
Jueming Hu, Zhe Xu, Weichang Wang, Guannan Qu, Yutian Pang, Yongming Liu
Decentralized Graph-Based Multi-Agent Reinforcement Learning Using Reward Machines. CoRR (2021)
Yiheng Lin, Guannan Qu, Longbo Huang, Adam Wierman
Multi-Agent Reinforcement Learning in Stochastic Networked Systems. NeurIPS (2021)
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) (2021)
Guannan Qu, Chenkai Yu, Steven H. Low, Adam Wierman
Exploiting Linear Models for Model-Free Nonlinear Control: A Provably Convergent Policy Gradient Approach. CDC (2021)
Guannan Qu, Chenkai Yu, Steven H. Low, Adam Wierman
Combining Model-Based and Model-Free Methods for Nonlinear Control: A Provably Convergent Policy Gradient Approach. CoRR (2020)
Guannan Qu, Adam Wierman
Finite-Time Analysis of Asynchronous Stochastic Approximation and Q-Learning. CoRR (2020)
Guannan Qu, Yiheng Lin, Adam Wierman, Na Li
Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward. CoRR (2020)
Shuang Liang, Zhiyi Fang, Geng Sun, Yanheng Liu, Guannan Qu, Suhanya Jayaprakasam, Ying Zhang
A joint optimization approach for distributed collaborative beamforming in mobile wireless sensor networks. Ad Hoc Networks 106 (2020)
Andreas Venzke, Guannan Qu, Steven H. Low, Spyros Chatzivasileiadis
Learning Optimal Power Flow: Worst-Case Guarantees for Neural Networks. CoRR (2020)
Guannan Qu, Adam Wierman, Na Li
Scalable Reinforcement Learning of Localized Policies for Multi-Agent Networked Systems. L4DC (2020)
Andreas Venzke, Guannan Qu, Steven H. Low, Spyros Chatzivasileiadis
Learning Optimal Power Flow: Worst-Case Guarantees for Neural Networks. SmartGridComm (2020)
Niloy Patari, Anurag K. Srivastava, Guannan Qu, Na Li
Distributed Optimal Voltage Control for Three Phase Unbalanced Distribution Systems with DERs. IAS (2020)
Sindri Magnússon, Guannan Qu, Na Li
Distributed Optimal Voltage Control With Asynchronous and Delayed Communication. IEEE Trans. Smart Grid 11 (4) (2020)
Guannan Qu, Na Li
Accelerated Distributed Nesterov Gradient Descent. IEEE Trans. Autom. Control. 65 (6) (2020)
Guannan Qu, Yiheng Lin, Adam Wierman, Na Li
Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward. NeurIPS (2020)
Shuang Liang, Zhiyi Fang, Geng Sun, Yanheng Liu, Guannan Qu, Ying Zhang
Sidelobe Reductions of Antenna Arrays via an Improved Chicken Swarm Optimization Approach. IEEE Access 8 (2020)
Guannan Qu, Adam Wierman
Finite-Time Analysis of Asynchronous Stochastic Approximation and $Q$-Learning. COLT (2020)
Yiheng Lin, Guannan Qu, Longbo Huang, Adam Wierman
Distributed Reinforcement Learning in Multi-Agent Networked Systems. CoRR (2020)
Yujie Tang, Guannan Qu, Na Li
Semi-global exponential stability of augmented primal-dual gradient dynamics for constrained convex optimization. Syst. Control. Lett. 144 (2020)
Guannan Qu, Dave Brown, Na Li
Distributed greedy algorithm for multi-agent task assignment problem with submodular utility functions. Autom. 105 (2019)
Guannan Qu, Na Li
Exploiting Fast Decaying and Locality in Multi-Agent MDP with Tree Dependence Structure. CoRR (2019)
Sindri Magnússon, Guannan Qu, Na Li
Distributed Voltage Control with Communication Delays. ACC (2019)
Sindri Magnússon, Guannan Qu, Na Li
Distributed Voltage Control with Communication Delays. CoRR (2019)
Sindri Magnússon, Guannan Qu, Carlo Fischione, Na Li
Voltage Control Using Limited Communication. IEEE Trans. Control. Netw. Syst. 6 (3) (2019)
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) (2019)
Guannan Qu, Adam Wierman, Na Li
Scalable Reinforcement Learning of Localized Policies for Multi-Agent Networked Systems. CoRR (2019)
Yujie Tang, Guannan Qu, Na Li
Semi-Global Exponential Stability of Primal-Dual Gradient Dynamics for Constrained Convex Optimization. CoRR (2019)
Guannan Qu, Na Li
Exploiting Fast Decaying and Locality in Multi-Agent MDP with Tree Dependence Structure. CDC (2019)
Guannan Qu, Na Li
On the Exponential Stability of Primal-Dual Gradient Dynamics. IEEE Control. Syst. Lett. 3 (1) (2019)
Shuang Liang, Zhiyi Fang, Geng Sun, Yanheng Liu, Xiaohui Zhao, Guannan Qu, Ying Zhang, Victor C. M. Leung
JSSA: Joint Sidelobe Suppression Approach for Collaborative Beamforming in Wireless Sensor Networks. IEEE Access 7 (2019)
Yingying Li, Guannan Qu, Na Li
Using Predictions in Online Optimization with Switching Costs: A Fast Algorithm and A Fundamental Limit. ACC (2018)
Guannan Qu, Na Li
Harnessing Smoothness to Accelerate Distributed Optimization. IEEE Trans. Control. Netw. Syst. 5 (3) (2018)
Shuaibing Lu, Zhiyi Fang, Jie Wu, Guannan Qu
Elastic Scheduling for Scaling Virtual Clusters in Cloud Data Center Networks. IEEE Access 6 (2018)
Guannan Qu, Na Li
Accelerated distributed Nesterov Gradient Descent for convex and smooth functions. CDC (2017)
Jie Cao, Zhiyi Fang, Guannan Qu, Hongyu Sun, Dan Zhang
An accurate traffic classification model based on support vector machines. Int. J. Netw. Manag. 27 (1) (2017)
Shuaibing Lu, Zhiyi Fang, Jie Wu, Guannan Qu
Elastic scaling of virtual clusters in cloud data center networks. IPCCC (2017)
Jianfei Zhang, Weiwu Ren, Guannan Qu
Constructing Algorithm of MLMS Data Center Network. GSKI (1) (2017)
Jianfei Zhang, Weiwu Ren, Guannan Qu
An Improved Interconnection Network for Data Center Based on BCube Structure. GSKI (1) (2017)
Guannan Qu, Na Li
Harnessing smoothness to accelerate distributed optimization. CDC (2016)
Guannan Qu, Na Li
Accelerated Distributed Nesterov Gradient Descent for smooth and strongly convex functions. Allerton (2016)
Shuaibing Lu, Zhiyi Fang, Guannan Qu, Song Gao
ETBAC-Based Model in Media Oriented System Transport Network. CIT/IUCC/DASC/PICom (2015)
Zhiyi Fang, Shuaibing Lu, Guannan Qu, Jianfei Zhang, S. Q. Zheng
Implementing High Throughput Contention-Tolerant Crossbar Switch. J. Commun. 10 (10) (2015)
Jie Cao, Zhiyi Fang, Dan Zhang, Guannan Qu
Network Traffic Classification Using Feature Selection and Parameter Optimization. J. Commun. 10 (10) (2015)
Guannan Qu, Zhiyi Fang, Jianfei Zhang, Si-Qing Zheng
Switch-Centric Data Center Network Structures Based on Hypergraphs and Combinatorial Block Designs. IEEE Trans. Parallel Distributed Syst. 26 (4) (2015)
Na Li, Guannan Qu, Munther A. Dahleh
Real-time decentralized voltage control in distribution networks. Allerton (2014)
Guannan Qu, Jie Mei, Dawei He
Short-term wind power forecasting based on numerical weather prediction adjustment. INDIN (2013)
Jie Mei, Siming Yan, Guannan Qu, Dawei He, Thomas G. Habetler
Design considerations for non-intrusive load monitoring hardware platforms in smart building. IAS (2013)
Hyung Jae Chang, Guannan Qu, S. Q. Zheng
A high-performance switch architecture based on mesh of trees. Int. J. Commun. Syst. 26 (12) (2013)
Jianfei Zhang, Zhiyi Fang, Guannan Qu, S. Q. Zheng
A new class of data center network structures. GLOBECOM (2013)
Guannan Qu, Hyung Jae Chang, Jianping Wang, Zhiyi Fang, S. Q. Zheng
Contention-tolerant crossbar packet switches. Int. J. Commun. Syst. 24 (2) (2011)
Guannan Qu, Hyung Jae Chang, Jianping Wang, Zhiyi Fang, S. Q. Zheng
Contention-Tolerant Crossbar Packet Switches without and with Speedup. ICC (2010)
Guannan Qu, Hyung Jae Chang, Jianping Wang, Zhiyi Fang, Si-Qing Zheng
Designing fully distributed scheduling algorithms for contention-tolerant crossbar switches. HPSR (2010)
Hyung Jae Chang, Guannan Qu, Jianping Wang, S. Q. Zheng
Making Contention-Tolerant Crossbar Switch Scalable. GLOBECOM (2010)
Guannan Qu, Hyung Jae Chang, Jianping Wang, Zhiyi Fang, Si-Qing Zheng
Queueing Analysis of Multi-Layer Contention-Tolerant Crossbar Switch. IEEE Commun. Lett. 14 (10) (2010)
Yanping Wang, Bo Sun, Guannan Qu
CSCW-based supply chain performance analysis system. NCM (2010)
Xiaonan Liu, Zhiyi Fang, Guannan Qu, Hongjun Yang, Tong Pan
A Framework of Agent-Based Collaborative Intelligent Transport System. CSCWD (2007)
Guannan Qu, Zhiyi Fang, Chao Zhang
A Framework of Agent-Based Supply Chain Performance Analysis System. BASYS (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Guannan Qu