A Framework of Agent-Based Supply Chain Performance Analysis System. - Guannan Qu; Zhiyi Fang; Chao Zhang (BASYS, 2006)

A Framework of Agent-Based Collaborative Intelligent Transport System. - Xiaonan Liu; Zhiyi Fang; Guannan Qu; Hongjun Yang; Tong Pan (CSCWD, 2007)

Making Contention-Tolerant Crossbar Switch Scalable. - Hyung Jae Chang; Guannan Qu; Jianping Wang 001; S. Q. Zheng 001 (GLOBECOM, 2010)

Designing fully distributed scheduling algorithms for contention-tolerant crossbar switches. - Guannan Qu; Hyung Jae Chang; Jianping Wang 001; Zhiyi Fang; Si-Qing Zheng (HPSR, 2010)

Contention-Tolerant Crossbar Packet Switches without and with Speedup. - Guannan Qu; Hyung Jae Chang; Jianping Wang 001; Zhiyi Fang; S. Q. Zheng 001 (ICC, 2010)

CSCW-based supply chain performance analysis system. - Yanping Wang; Bo Sun; Guannan Qu (NCM, 2010)

Queueing Analysis of Multi-Layer Contention-Tolerant Crossbar Switch. - Guannan Qu; Hyung Jae Chang; Jianping Wang 001; Zhiyi Fang; Si-Qing Zheng (IEEE Commun. Lett., 2010)

Contention-tolerant crossbar packet switches. - Guannan Qu; Hyung Jae Chang; Jianping Wang 001; Zhiyi Fang; S. Q. Zheng 001 (Int. J. Commun. Syst., 2011)

A new class of data center network structures. - Jianfei Zhang 001; Zhiyi Fang; Guannan Qu; Si-Qing Zheng (GLOBECOM, 2013)

Design considerations for non-intrusive load monitoring hardware platforms in smart building. - Jie Mei; Siming Yan; Guannan Qu; Dawei He; Thomas G. Habetler (IAS, 2013)

Short-term wind power forecasting based on numerical weather prediction adjustment. - Guannan Qu; Jie Mei; Dawei He (INDIN, 2013)

A high-performance switch architecture based on mesh of trees. - Hyung Jae Chang; Guannan Qu; S. Q. Zheng 001 (Int. J. Commun. Syst., 2013)

Real-time decentralized voltage control in distribution networks. - Na Li 002; Guannan Qu; Munther A. Dahleh (Allerton, 2014)

ETBAC-Based Model in Media Oriented System Transport Network. - Shuaibing Lu; Zhiyi Fang; Guannan Qu; Song Gao 003 (CIT/IUCC/DASC/PICom, 2015)

Network Traffic Classification Using Feature Selection and Parameter Optimization. - Jie Cao 005; Zhiyi Fang; Dan Zhang; Guannan Qu (J. Commun., 2015)

Implementing High Throughput Contention-Tolerant Crossbar Switch. - Zhiyi Fang; Shuaibing Lu; Guannan Qu; Jianfei Zhang 001; S. Q. Zheng 001 (J. Commun., 2015)

Switch-Centric Data Center Network Structures Based on Hypergraphs and Combinatorial Block Designs. - Guannan Qu; Zhiyi Fang; Jianfei Zhang 001; Si-Qing Zheng (IEEE Trans. Parallel Distributed Syst., 2015)

Accelerated Distributed Nesterov Gradient Descent for smooth and strongly convex functions. - Guannan Qu; Na Li 002 (Allerton, 2016)

Accelerated distributed Nesterov Gradient Descent for convex and smooth functions. - Guannan Qu; Na Li 002 (CDC, 2017)

An Improved Interconnection Network for Data Center Based on BCube Structure. - Jianfei Zhang 001; Weiwu Ren; Guannan Qu (GSKI (1), 2017)

Constructing Algorithm of MLMS Data Center Network. - Jianfei Zhang 001; Weiwu Ren; Guannan Qu (GSKI (1), 2017)

Elastic scaling of virtual clusters in cloud data center networks. - Shuaibing Lu; Zhiyi Fang; Jie Wu 001; Guannan Qu (IPCCC, 2017)

An accurate traffic classification model based on support vector machines. - Jie Cao 005; Zhiyi Fang; Guannan Qu; Hongyu Sun 005; Dan Zhang (Int. J. Netw. Manag., 2017)

Using Predictions in Online Optimization with Switching Costs: A Fast Algorithm and A Fundamental Limit. - Yingying Li; Guannan Qu; Na Li 002 (ACC, 2018)

Elastic Scheduling for Scaling Virtual Clusters in Cloud Data Center Networks. - Shuaibing Lu; Zhiyi Fang; Jie Wu 001; Guannan Qu (IEEE Access, 2018)

Harnessing Smoothness to Accelerate Distributed Optimization. - Guannan Qu; Na Li 002 (IEEE Trans. Control. Netw. Syst., 2018)

Distributed Voltage Control with Communication Delays. - Sindri Magnússon; Guannan Qu; Na Li 002 (ACC, 2019)

Exploiting Fast Decaying and Locality in Multi-Agent MDP with Tree Dependence Structure. - Guannan Qu; Na Li 002 (CDC, 2019)

JSSA: Joint Sidelobe Suppression Approach for Collaborative Beamforming in Wireless Sensor Networks. - Shuang Liang 003; Zhiyi Fang; Geng Sun 001; Yanheng Liu 001; Xiaohui Zhao 004; Guannan Qu; Ying Zhang 007; Victor C. M. Leung (IEEE Access, 2019)

Distributed greedy algorithm for multi-agent task assignment problem with submodular utility functions. - Guannan Qu; Dave Brown; Na Li 002 (Autom., 2019)

Semi-Global Exponential Stability of Primal-Dual Gradient Dynamics for Constrained Convex Optimization. - Yujie Tang 002; Guannan Qu; Na Li 002 (CoRR, 2019)

On the Exponential Stability of Primal-Dual Gradient Dynamics. - Guannan Qu; Na Li 002 (IEEE Control. Syst. Lett., 2019)

Voltage Control Using Limited Communication. - Sindri Magnússon; Guannan Qu; Carlo Fischione; Na Li 002 (IEEE Trans. Control. Netw. Syst., 2019)

Optimal Scheduling of Battery Charging Station Serving Electric Vehicles Based on Battery Swapping. - Xiaoqi Tan; Guannan Qu; Bo Sun 004; Na Li 002; Danny H. K. Tsang (IEEE Trans. Smart Grid, 2019)

Finite-Time Analysis of Asynchronous Stochastic Approximation and $Q$-Learning. - Guannan Qu; Adam Wierman (COLT, 2020)

Distributed Optimal Voltage Control for Three Phase Unbalanced Distribution Systems with DERs. - Niloy Patari; Anurag K. Srivastava 001; Guannan Qu; Na Li 002 (IAS, 2020)

Scalable Reinforcement Learning of Localized Policies for Multi-Agent Networked Systems. - Guannan Qu; Adam Wierman; Na Li 002 (L4DC, 2020)

Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward. - Guannan Qu; Yiheng Lin 001; Adam Wierman; Na Li 002 (NeurIPS, 2020)

Learning Optimal Power Flow: Worst-Case Guarantees for Neural Networks. - Andreas Venzke; Guannan Qu; Steven H. Low; Spyros Chatzivasileiadis (SmartGridComm, 2020)

Sidelobe Reductions of Antenna Arrays via an Improved Chicken Swarm Optimization Approach. - Shuang Liang 003; Zhiyi Fang; Geng Sun 001; Yanheng Liu 001; Guannan Qu; Ying Zhang 007 (IEEE Access, 2020)

A joint optimization approach for distributed collaborative beamforming in mobile wireless sensor networks. - Shuang Liang 003; Zhiyi Fang; Geng Sun 001; Yanheng Liu 001; Guannan Qu; Suhanya Jayaprakasam; Ying Zhang 007 (Ad Hoc Networks, 2020)

Distributed Reinforcement Learning in Multi-Agent Networked Systems. - Yiheng Lin 001; Guannan Qu; Longbo Huang; Adam Wierman (CoRR, 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)

Semi-global exponential stability of augmented primal-dual gradient dynamics for constrained convex optimization. - Yujie Tang 002; Guannan Qu; Na Li 002 (Syst. Control. Lett., 2020)

Accelerated Distributed Nesterov Gradient Descent. - Guannan Qu; Na Li 002 (IEEE Trans. Autom. Control., 2020)

Distributed Optimal Voltage Control With Asynchronous and Delayed Communication. - Sindri Magnússon; Guannan Qu; Na Li 002 (IEEE Trans. Smart Grid, 2020)

Exploiting Linear Models for Model-Free Nonlinear Control: A Provably Convergent Policy Gradient Approach. - Guannan Qu; Chenkai Yu; Steven H. Low; Adam Wierman (CDC, 2021)

Stable Online Control of Linear Time-Varying Systems. - Guannan Qu; Yuanyuan Shi; Sahin Lale; Anima Anandkumar; Adam Wierman (L4DC, 2021)

Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems. - Yiheng Lin 001; Yang Hu; Guanya Shi; Haoyuan Sun; Guannan Qu; Adam Wierman (NeurIPS, 2021)

Multi-Agent Reinforcement Learning in Stochastic Networked Systems. - Yiheng Lin 001; Guannan Qu; Longbo Huang; Adam Wierman (NeurIPS, 2021)

Reinforcement Learning for Decision-Making and Control in Power Systems: Tutorial, Review, and Vision. - Xin Chen 036; Guannan Qu; Yujie Tang 002; Steven H. Low; Na Li 002 (CoRR, 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)

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)

Online Optimization With Predictions and Switching Costs: Fast Algorithms and the Fundamental Limit. - Yingying Li; Guannan Qu; Na Li 002 (IEEE Trans. Autom. Control., 2021)

On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory (Extended Abstract). - Yang Hu; Adam Wierman; Guannan Qu (Allerton, 2022)

Stability Constrained Reinforcement Learning for Real-Time Voltage Control. - Yuanyuan Shi; Guannan Qu; Steven H. Low; Anima Anandkumar; Adam Wierman (ACC, 2022)

Decentralized Online Convex Optimization in Networked Systems. - Yiheng Lin 001; Judy Gan; Guannan Qu; Yash Kanoria; Adam Wierman (ICML, 2022)

On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory. - Yang Hu; Adam Wierman; Guannan Qu (NeurIPS, 2022)

Bounded-Regret MPC via Perturbation Analysis: Prediction Error, Constraints, and Nonlinearity. - Yiheng Lin 001; Yang Hu; Guannan Qu; Tongxin Li; Adam Wierman (NeurIPS, 2022)

Biogeography-based optimization with adaptive migration and adaptive mutation with its application in sidelobe reduction of antenna arrays. - Shuang Liang 003; Zhiyi Fang; Geng Sun 001; Guannan Qu (Appl. Soft Comput., 2022)

Equipping Black-Box Policies with Model-Based Advice for Stable Nonlinear Control. - Tongxin Li; Ruixiao Yang; Guannan Qu; Yiheng Lin 001; Steven H. Low; 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)

Stability Constrained Reinforcement Learning for Real-Time Voltage Control in Distribution Systems. - Jie Feng 006; Yuanyuan Shi; Guannan Qu; Steven H. Low; Anima Anandkumar; Adam Wierman (CoRR, 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)

Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges. - Xin Chen 036; Guannan Qu; Yujie Tang 002; Steven H. Low; Na Li 002 (IEEE Trans. Smart Grid, 2022)

Scalable Reinforcement Learning for Multiagent Networked Systems. - Guannan Qu; Adam Wierman; Na Li 002 (Oper. Res., 2022)

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 (CDC, 2023)

Natural Policy Gradient Preserves Spatial Decay Properties for Control of Networked Dynamical Systems. - Eric Xu; Guannan Qu (CDC, 2023)

Compositional Neural Certificates for Networked Dynamical Systems. - Songyuan Zhang; Yumeng Xiu; Guannan Qu; Chuchu Fan (L4DC, 2023)

A Scalable Network-Aware Multi-Agent Reinforcement Learning Framework for Decentralized Inverter-based Voltage Control. - Han Xu; Jialin Zheng; Guannan Qu (CoRR, 2023)

Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning. - Yizhou Zhang; Guannan Qu; Pan Xu 002; Yiheng Lin 001; Zaiwei Chen; Adam Wierman (Proc. ACM Meas. Anal. Comput. Syst., 2023)

Near-Optimal Distributed Linear-Quadratic Regulator for Networked Systems. - Sungho Shin; Yiheng Lin 001; Guannan Qu; Adam Wierman; Mihai Anitescu (SIAM J. Control. Optim., 2023)

Efficient Reinforcement Learning for Routing Jobs in Heterogeneous Queueing Systems. - Neharika Jali; Guannan Qu; Weina Wang 001; Gauri Joshi (AISTATS, 2024)

Stability and Regret Bounds on Distributed Truncated Predictive Control for Networked Dynamical Systems. - Eric Xu; Guannan Qu (ACC, 2024)

Locally Interdependent Multi-Agent MDP: Theoretical Framework for Decentralized Agents with Dynamic Dependencies. - Alex DeWeese; Guannan Qu (ICML, 2024)

Combining model-based controller and ML advice via convex reparameterization. - Junxuan Shen; Adam Wierman; Guannan Qu (L4DC, 2024)

CoVO-MPC: Theoretical analysis of sampling-based MPC and optimal covariance design. - Zeji Yi; Chaoyi Pan; Guanqi He; Guannan Qu; Guanya Shi (L4DC, 2024)

Model-based Diffusion for Trajectory Optimization. - Chaoyi Pan; Zeji Yi; Guanya Shi; Guannan Qu (NeurIPS, 2024)

Efficient Reinforcement Learning for Global Decision Making in the Presence of Local Agents at Scale. - Emile Anand; Guannan Qu (CoRR, 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)

Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning. - Emile Anand; Ishani Karmarkar; Guannan Qu (CoRR, 2024)

Decentralized graph-based multi-agent reinforcement learning using reward machines. - Jueming Hu; Zhe Xu 005; Weichang Wang; Guannan Qu; Yutian Pang; Yongming Liu (Neurocomputing, 2024)

Stability Constrained Reinforcement Learning for Decentralized Real-Time Voltage Control. - Jie Feng 006; Yuanyuan Shi; Guannan Qu; Steven H. Low; Anima Anandkumar; Adam Wierman (IEEE Trans. Control. Netw. Syst., 2024)

Structure-Exploiting Reinforcement Learning for Networked Systems. - Guannan Qu (ACC, 2025)

Fast Bandit-based Policy Adaptation in Diverse Environments. - Ziyi Zhang; Guannan Qu; Yorie Nakahira (ACC, 2025)

Learning to Stabilize Unknown LTI Systems on a Single Trajectory under Stochastic Noise. - Ziyi Zhang; Yorie Nakahira; Guannan Qu (UAI, 2025)

Predictive Control and Regret Analysis of Non-Stationary MDP with Look-ahead Information. - Ziyi Zhang; Yorie Nakahira; Guannan Qu (Trans. Mach. Learn. Res., 2025)

ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills. - Tairan He; Jiawei Gao; Wenli Xiao; Yuanhang Zhang; Zi Wang; Jiashun Wang; Zhengyi Luo 002; Guanqi He; Nikhil Sobanbab; Chaoyi Pan; Zeji Yi; Guannan Qu; et al. (CoRR, 2025)

Whole-Body Model-Predictive Control of Legged Robots with MuJoCo. - John Z. Zhang; Taylor A. Howell; Zeji Yi; Chaoyi Pan; Guanya Shi; Guannan Qu; Tom Erez; Yuval Tassa; Zachary Manchester (CoRR, 2025)

Stabilizing Linear Systems under Partial Observability: Sample Complexity and Fundamental Limits. - Ziyi Zhang; Yorie Nakahira; Guannan Qu (CoRR, 2025)

Natural Policy Gradient for Average Reward Non-Stationary RL. - Neharika Jali; Eshika Pathak; Pranay Sharma; Guannan Qu; Gauri Joshi (CoRR, 2025)

Thinking Beyond Visibility: A Near-Optimal Policy Framework for Locally Interdependent Multi-Agent MDPs. - Alex DeWeese; Guannan Qu (CoRR, 2025)

A Theoretical Study of (Hyper) Self-Attention through the Lens of Interactions: Representation, Training, Generalization. - Muhammed Ustaomeroglu; Guannan Qu (CoRR, 2025)

Recovery of UAV Swarm-enabled Collaborative Beamforming in Low-altitude Wireless Networks under Wind Field Disturbances. - Geng Sun 001; Chenbang Liu; Jiahui Li 002; Guannan Qu; Shuang Liang 003; Jiacheng Wang 001; Changyuan Zhao; Dusit Niyato (CoRR, 2025)