Guannan Qu - RankMe

132 papers A* 11A 2B 2C 12Journal 81Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BLOCK-EM: Preventing Emergent Misalignment by Blocking Causal Features. CoRR Muhammed Ustaomeroglu, Guannan Qu
2026	J	`jnl`	Natural Policy Gradient for Average Reward Non-Stationary Reinforcement Learning. Trans. Mach. Learn. Res. Neharika Jali, Eshika Pathak, Pranay Sharma, Guannan Qu, Gauri Joshi
2026	J	`jnl`	Polynomial Convergence of Riemannian Diffusion Models. CoRR Xingyu Xu, Ziyi Zhang, Yorie Nakahira, Guannan Qu, Yuejie Chi
2026	J	`jnl`	UAVGENT: A Language-Guided Distributed Control Framework. CoRR Ziyi Zhang, Xiyu Deng, Guannan Qu, Yorie Nakahira
2025	A*	`conf`	A Theoretical Study of (Hyper) Self-Attention through the Lens of Interactions: Representation, Training, Generalization. ICML Muhammed Ustaomeroglu, Guannan Qu
2025	J	`jnl`	A Theoretical Study of (Hyper) Self-Attention through the Lens of Interactions: Representation, Training, Generalization. CoRR Muhammed Ustaomeroglu, Guannan Qu
2025	J	`jnl`	ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills. CoRR Tairan He, Jiawei Gao, Wenli Xiao, Yuanhang Zhang, Zi Wang, Jiashun Wang, Zhengyi Luo, Guanqi He, Nikhil Sobanbab, Chaoyi Pan, Zeji Yi, Guannan Qu, Kris Kitani, Jessica K. Hodgins, Linxi Fan, Yuke Zhu, Changliu Liu, Guanya Shi
2025	J	`jnl`	Comparative Field Deployment of Reinforcement Learning and Model Predictive Control for Residential HVAC. CoRR Ozan Baris Mulayim, Elias N. Pergantis, Levi D. Reyes Premer, Bingqing Chen, Guannan Qu, Kevin J. Kircher, Mario Bergés
2025	J	`jnl`	Cyber-Resilient System Identification for Power Grid through Bayesian Integration. CoRR Shimiao Li, Guannan Qu, Bryan Hooi, Vyas Sekar, Soummya Kar, Lawrence T. Pileggi
2025	J	`jnl`	Digital Business Model Innovation in Complex Environments: A Knowledge System Perspective. Syst. Luyao Wang, Zhiqi Jiang, Guannan Qu
2025	C	`conf`	Fast Bandit-based Policy Adaptation in Diverse Environments. ACC Ziyi Zhang, Guannan Qu, Yorie Nakahira
2025	A*	`conf`	Full-Order Sampling-Based MPC for Torque-Level Locomotion Control via Diffusion-Style Annealing. ICRA Haoru Xue, Chaoyi Pan, Zeji Yi, Guannan Qu, Guanya Shi
2025	J	`jnl`	Language Model Planning from an Information Theoretic Perspective. CoRR Muhammed Ustaomeroglu, Baris Askin, Gauri Joshi, Carlee Joe-Wong, Guannan Qu
2025	A	`conf`	Learning to Stabilize Unknown LTI Systems on a Single Trajectory under Stochastic Noise. UAI Ziyi Zhang, Yorie Nakahira, Guannan Qu
2025	J	`jnl`	Much Ado About Noising: Dispelling the Myths of Generative Robotic Control. CoRR Chaoyi Pan, Giri Anantharaman, Nai-Chieh Huang, Claire Jin, Daniel Pfrommer, Chenyang Yuan, Frank Permenter, Guannan Qu, Nicholas Boffi, Guanya Shi, Max Simchowitz
2025	J	`jnl`	Multi-Period Sparse Optimization for Proactive Grid Blackout Diagnosis. CoRR Qinghua Ma, Reetam Sen Biswas, Denis Osipov, Guannan Qu, Soummya Kar, Shimiao Li
2025	J	`jnl`	Natural Policy Gradient for Average Reward Non-Stationary RL. CoRR Neharika Jali, Eshika Pathak, Pranay Sharma, Guannan Qu, Gauri Joshi
2025	J	`jnl`	Predictive Control and Regret Analysis of Non-Stationary MDP with Look-ahead Information. Trans. Mach. Learn. Res. Ziyi Zhang, Yorie Nakahira, Guannan Qu
2025	J	`jnl`	Recovery of UAV Swarm-enabled Collaborative Beamforming in Low-altitude Wireless Networks under Wind Field Disturbances. CoRR Geng Sun, Chenbang Liu, Jiahui Li, Guannan Qu, Shuang Liang, Jiacheng Wang, Changyuan Zhao, Dusit Niyato
2025	—	`conf`	Sampling-Based Methods for Optimal Control: Theory, Algorithms, and Applications. CDC Chaoyi Pan, Zeji Yi, Guanya Shi, Guannan Qu
2025	J	`jnl`	Stabilizing Linear Systems under Partial Observability: Sample Complexity and Fundamental Limits. CoRR Ziyi Zhang, Yorie Nakahira, Guannan Qu
2025	C	`conf`	Structure-Exploiting Reinforcement Learning for Networked Systems. ACC Guannan Qu
2025	J	`jnl`	Thinking Beyond Visibility: A Near-Optimal Policy Framework for Locally Interdependent Multi-Agent MDPs. CoRR Alex DeWeese, Guannan Qu
2025	J	`jnl`	Transformer-Based Scalable Multi-Agent Reinforcement Learning for Networked Systems with Long-Range Interactions. CoRR Vidur Sinha, Muhammed Ustaomeroglu, Guannan Qu
2025	J	`jnl`	Whole-Body Model-Predictive Control of Legged Robots with MuJoCo. CoRR John Z. Zhang, Taylor A. Howell, Zeji Yi, Chaoyi Pan, Guanya Shi, Guannan Qu, Tom Erez, Yuval Tassa, Zachary Manchester
2024	J	`jnl`	CoVO-MPC: Theoretical Analysis of Sampling-based MPC and Optimal Covariance Design. CoRR Zeji Yi, Chaoyi Pan, Guanqi He, Guannan Qu, Guanya Shi
2024	—	`conf`	CoVO-MPC: Theoretical analysis of sampling-based MPC and optimal covariance design. L4DC Zeji Yi, Chaoyi Pan, Guanqi He, Guannan Qu, Guanya Shi
2024	—	`conf`	Combining model-based controller and ML advice via convex reparameterization. L4DC Junxuan Shen, Adam Wierman, Guannan Qu
2024	J	`jnl`	Decentralized graph-based multi-agent reinforcement learning using reward machines. Neurocomputing Jueming Hu, Zhe Xu, Weichang Wang, Guannan Qu, Yutian Pang, Yongming Liu
2024	J	`jnl`	Efficient Reinforcement Learning for Global Decision Making in the Presence of Local Agents at Scale. CoRR Emile Anand, Guannan Qu
2024	A	`conf`	Efficient Reinforcement Learning for Routing Jobs in Heterogeneous Queueing Systems. AISTATS Neharika Jali, Guannan Qu, Weina Wang, Gauri Joshi
2024	J	`jnl`	Efficient Reinforcement Learning for Routing Jobs in Heterogeneous Queueing Systems. CoRR Neharika Jali, Guannan Qu, Weina Wang, Gauri Joshi
2024	J	`jnl`	Full-Order Sampling-Based MPC for Torque-Level Locomotion Control via Diffusion-Style Annealing. CoRR Haoru Xue, Chaoyi Pan, Zeji Yi, Guannan Qu, Guanya Shi
2024	J	`jnl`	Learning to Stabilize Unknown LTI Systems on a Single Trajectory under Stochastic Noise. CoRR Ziyi Zhang, Yorie Nakahira, Guannan Qu
2024	A*	`conf`	Locally Interdependent Multi-Agent MDP: Theoretical Framework for Decentralized Agents with Dynamic Dependencies. ICML Alex DeWeese, Guannan Qu
2024	J	`jnl`	Locally Interdependent Multi-Agent MDP: Theoretical Framework for Decentralized Agents with Dynamic Dependencies. CoRR Alex DeWeese, Guannan Qu
2024	J	`jnl`	Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning. CoRR Emile Anand, Ishani Karmarkar, Guannan Qu
2024	J	`jnl`	Model-Based Diffusion for Trajectory Optimization. CoRR Chaoyi Pan, Zeji Yi, Guanya Shi, Guannan Qu
2024	A*	`conf`	Model-based Diffusion for Trajectory Optimization. NeurIPS Chaoyi Pan, Zeji Yi, Guanya Shi, Guannan Qu
2024	J	`jnl`	Predictive Control and Regret Analysis of Non-Stationary MDP with Look-ahead Information. CoRR Ziyi Zhang, Yorie Nakahira, Guannan Qu
2024	J	`jnl`	Stability Constrained Reinforcement Learning for Decentralized Real-Time Voltage Control. IEEE Trans. Control. Netw. Syst. Jie Feng, Yuanyuan Shi, Guannan Qu, Steven H. Low, Anima Anandkumar, Adam Wierman
2024	C	`conf`	Stability and Regret Bounds on Distributed Truncated Predictive Control for Networked Dynamical Systems. ACC Eric Xu, Guannan Qu
2023	J	`jnl`	A Scalable Network-Aware Multi-Agent Reinforcement Learning Framework for Decentralized Inverter-based Voltage Control. CoRR Han Xu, Jialin Zheng, Guannan Qu
2023	—	`conf`	Compositional Neural Certificates for Networked Dynamical Systems. L4DC Songyuan Zhang, Yumeng Xiu, Guannan Qu, Chuchu Fan
2023	J	`jnl`	Compositional Neural Certificates for Networked Dynamical Systems. CoRR Songyuan Zhang, Yumeng Xiu, Guannan Qu, Chuchu Fan
2023	—	`conf`	Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning. SIGMETRICS (Abstracts) Yizhou Zhang, Guannan Qu, Pan Xu, Yiheng Lin, Zaiwei Chen, Adam Wierman
2023	J	`jnl`	Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning. Proc. ACM Meas. Anal. Comput. Syst. Yizhou Zhang, Guannan Qu, Pan Xu, Yiheng Lin, Zaiwei Chen, Adam Wierman
2023	—	`conf`	KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Discrete-Time Systems. CDC Sahin Lale, Yuanyuan Shi, Guannan Qu, Kamyar Azizzadenesheli, Adam Wierman, Anima Anandkumar
2023	—	`conf`	Natural Policy Gradient Preserves Spatial Decay Properties for Control of Networked Dynamical Systems. CDC Eric Xu, Guannan Qu
2023	J	`jnl`	Near-Optimal Distributed Linear-Quadratic Regulator for Networked Systems. SIAM J. Control. Optim. Sungho Shin, Yiheng Lin, Guannan Qu, Adam Wierman, Mihai Anitescu
2023	J	`jnl`	Stability and Regret bounds on Distributed Truncated Predictive Control for Networked Dynamical Systems. CoRR Eric Xu, Guannan Qu
2022	J	`jnl`	Biogeography-based optimization with adaptive migration and adaptive mutation with its application in sidelobe reduction of antenna arrays. Appl. Soft Comput. Shuang Liang, Zhiyi Fang, Geng Sun, Guannan Qu
2022	A*	`conf`	Bounded-Regret MPC via Perturbation Analysis: Prediction Error, Constraints, and Nonlinearity. NeurIPS Yiheng Lin, Yang Hu, Guannan Qu, Tongxin Li, Adam Wierman
2022	A*	`conf`	Decentralized Online Convex Optimization in Networked Systems. ICML Yiheng Lin, Judy Gan, Guannan Qu, Yash Kanoria, Adam Wierman
2022	J	`jnl`	Equipping Black-Box Policies with Model-Based Advice for Stable Nonlinear Control. CoRR Tongxin Li, Ruixiao Yang, Guannan Qu, Yiheng Lin, Steven H. Low, Adam Wierman
2022	J	`jnl`	Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning. CoRR Yizhou Zhang, Guannan Qu, Pan Xu, Yiheng Lin, Zaiwei Chen, Adam Wierman
2022	J	`jnl`	KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Dynamical Systems. CoRR Sahin Lale, Yuanyuan Shi, Guannan Qu, Kamyar Azizzadenesheli, Adam Wierman, Anima Anandkumar
2022	J	`jnl`	Near-Optimal Distributed Linear-Quadratic Regulator for Networked Systems. CoRR Sungho Shin, Yiheng Lin, Guannan Qu, Adam Wierman, Mihai Anitescu
2022	—	`conf`	On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory (Extended Abstract). Allerton Yang Hu, Adam Wierman, Guannan Qu
2022	A*	`conf`	On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory. NeurIPS Yang Hu, Adam Wierman, Guannan Qu
2022	J	`jnl`	On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory. CoRR Yang Hu, Adam Wierman, Guannan Qu
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	—	`conf`	Robustness and Consistency in Linear Quadratic Control with Untrusted Predictions. SIGMETRICS (Abstracts) Tongxin Li, Ruixiao Yang, Guannan Qu, Guanya Shi, Chenkai Yu, Adam Wierman, Steven H. Low
2022	J	`jnl`	Robustness and Consistency in Linear Quadratic Control with Untrusted Predictions. Proc. ACM Meas. Anal. Comput. Syst. Tongxin Li, Ruixiao Yang, Guannan Qu, Guanya Shi, Chenkai Yu, Adam Wierman, Steven H. Low
2022	J	`jnl`	Scalable Reinforcement Learning for Multiagent Networked Systems. Oper. Res. Guannan Qu, Adam Wierman, Na Li
2022	J	`jnl`	Stability Constrained Reinforcement Learning for Real-Time Voltage Control in Distribution Systems. CoRR Jie Feng, Yuanyuan Shi, Guannan Qu, Steven H. Low, Anima Anandkumar, Adam Wierman
2022	C	`conf`	Stability Constrained Reinforcement Learning for Real-Time Voltage Control. ACC Yuanyuan Shi, Guannan Qu, Steven H. Low, Anima Anandkumar, Adam Wierman
2021	J	`jnl`	Decentralized Graph-Based Multi-Agent Reinforcement Learning Using Reward Machines. CoRR Jueming Hu, Zhe Xu, Weichang Wang, Guannan Qu, Yutian Pang, Yongming Liu
2021	J	`jnl`	Explicating the business model from a knowledge-based view: nature, structure, imitability and competitive advantage erosion. J. Knowl. Manag. Jin Chen, Luyao Wang, Guannan Qu
2021	—	`conf`	Exploiting Linear Models for Model-Free Nonlinear Control: A Provably Convergent Policy Gradient Approach. CDC Guannan Qu, Chenkai Yu, Steven H. Low, Adam Wierman
2021	A*	`conf`	Multi-Agent Reinforcement Learning in Stochastic Networked Systems. NeurIPS Yiheng Lin, Guannan Qu, Longbo Huang, Adam Wierman
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	A*	`conf`	Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems. NeurIPS Yiheng Lin, Yang Hu, Guanya Shi, Haoyuan Sun, Guannan Qu, Adam Wierman
2021	J	`jnl`	Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems. CoRR Yiheng Lin, Yang Hu, Haoyuan Sun, Guanya Shi, Guannan Qu, Adam Wierman
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`	Robustness and Consistency in Linear Quadratic Control with Predictions. CoRR Tongxin Li, Ruixiao Yang, Guannan Qu, Guanya Shi, Chenkai Yu, Adam Wierman, Steven H. Low
2021	J	`jnl`	Stability Constrained Reinforcement Learning for Real-Time Voltage Control. CoRR Yuanyuan Shi, Guannan Qu, Steven H. Low, Anima Anandkumar, Adam Wierman
2021	—	`conf`	Stable Online Control of Linear Time-Varying Systems. L4DC Guannan Qu, Yuanyuan Shi, Sahin Lale, Anima Anandkumar, Adam Wierman
2021	J	`jnl`	Stable Online Control of Linear Time-Varying Systems. CoRR Guannan Qu, Yuanyuan Shi, Sahin Lale, Anima Anandkumar, Adam Wierman
2020	J	`jnl`	A joint optimization approach for distributed collaborative beamforming in mobile wireless sensor networks. Ad Hoc Networks Shuang Liang, Zhiyi Fang, Geng Sun, Yanheng Liu, Guannan Qu, Suhanya Jayaprakasam, Ying Zhang
2020	J	`jnl`	Accelerated Distributed Nesterov Gradient Descent. IEEE Trans. Autom. Control. Guannan Qu, Na Li
2020	J	`jnl`	Combining Model-Based and Model-Free Methods for Nonlinear Control: A Provably Convergent Policy Gradient Approach. CoRR Guannan Qu, Chenkai Yu, Steven H. Low, Adam Wierman
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	J	`jnl`	Distributed Reinforcement Learning in Multi-Agent Networked Systems. CoRR Yiheng Lin, Guannan Qu, Longbo Huang, Adam Wierman
2020	A*	`conf`	Finite-Time Analysis of Asynchronous Stochastic Approximation and $Q$-Learning. COLT Guannan Qu, Adam Wierman
2020	J	`jnl`	Finite-Time Analysis of Asynchronous Stochastic Approximation and Q-Learning. CoRR Guannan Qu, Adam Wierman
2020	—	`conf`	Learning Optimal Power Flow: Worst-Case Guarantees for Neural Networks. SmartGridComm Andreas Venzke, Guannan Qu, Steven H. Low, Spyros Chatzivasileiadis
2020	J	`jnl`	Learning Optimal Power Flow: Worst-Case Guarantees for Neural Networks. CoRR Andreas Venzke, Guannan Qu, Steven H. Low, Spyros Chatzivasileiadis
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	J	`jnl`	Sidelobe Reductions of Antenna Arrays via an Improved Chicken Swarm Optimization Approach. IEEE Access Shuang Liang, Zhiyi Fang, Geng Sun, Yanheng Liu, Guannan Qu, Ying Zhang
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	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`	JSSA: Joint Sidelobe Suppression Approach for Collaborative Beamforming in Wireless Sensor Networks. IEEE Access Shuang Liang, Zhiyi Fang, Geng Sun, Yanheng Liu, Xiaohui Zhao, Guannan Qu, Ying Zhang, Victor C. M. Leung
2019	J	`jnl`	On the Exponential Stability of Primal-Dual Gradient Dynamics. IEEE Control. Syst. Lett. Guannan Qu, 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	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`	Elastic Scheduling for Scaling Virtual Clusters in Cloud Data Center Networks. IEEE Access Shuaibing Lu, Zhiyi Fang, Jie Wu, Guannan Qu
2018	J	`jnl`	Harnessing Smoothness to Accelerate Distributed Optimization. IEEE Trans. Control. Netw. Syst. Guannan Qu, 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	—	`conf`	An Improved Interconnection Network for Data Center Based on BCube Structure. GSKI (1) Jianfei Zhang, Weiwu Ren, Guannan Qu
2017	J	`jnl`	An accurate traffic classification model based on support vector machines. Int. J. Netw. Manag. Jie Cao, Zhiyi Fang, Guannan Qu, Hongyu Sun, Dan Zhang
2017	—	`conf`	Constructing Algorithm of MLMS Data Center Network. GSKI (1) Jianfei Zhang, Weiwu Ren, Guannan Qu
2017	C	`conf`	Elastic scaling of virtual clusters in cloud data center networks. IPCCC Shuaibing Lu, Zhiyi Fang, Jie Wu, Guannan Qu
2016	—	`conf`	Accelerated Distributed Nesterov Gradient Descent for smooth and strongly convex functions. Allerton Guannan Qu, Na Li
2016	—	`conf`	Harnessing smoothness to accelerate distributed optimization. CDC Guannan Qu, Na Li
2015	—	`conf`	ETBAC-Based Model in Media Oriented System Transport Network. CIT/IUCC/DASC/PICom Shuaibing Lu, Zhiyi Fang, Guannan Qu, Song Gao
2015	J	`jnl`	Implementing High Throughput Contention-Tolerant Crossbar Switch. J. Commun. Zhiyi Fang, Shuaibing Lu, Guannan Qu, Jianfei Zhang, S. Q. Zheng
2015	J	`jnl`	Network Traffic Classification Using Feature Selection and Parameter Optimization. J. Commun. Jie Cao, Zhiyi Fang, Dan Zhang, Guannan Qu
2015	J	`jnl`	Switch-Centric Data Center Network Structures Based on Hypergraphs and Combinatorial Block Designs. IEEE Trans. Parallel Distributed Syst. Guannan Qu, Zhiyi Fang, Jianfei Zhang, Si-Qing Zheng
2014	—	`conf`	Real-time decentralized voltage control in distribution networks. Allerton Na Li, Guannan Qu, Munther A. Dahleh
2013	J	`jnl`	A high-performance switch architecture based on mesh of trees. Int. J. Commun. Syst. Hyung Jae Chang, Guannan Qu, S. Q. Zheng
2013	B	`conf`	A new class of data center network structures. GLOBECOM Jianfei Zhang, Zhiyi Fang, Guannan Qu, Si-Qing Zheng
2013	C	`conf`	Design considerations for non-intrusive load monitoring hardware platforms in smart building. IAS Jie Mei, Siming Yan, Guannan Qu, Dawei He, Thomas G. Habetler
2013	C	`conf`	Short-term wind power forecasting based on numerical weather prediction adjustment. INDIN Guannan Qu, Jie Mei, Dawei He
2011	J	`jnl`	Contention-tolerant crossbar packet switches. Int. J. Commun. Syst. Guannan Qu, Hyung Jae Chang, Jianping Wang, Zhiyi Fang, S. Q. Zheng
2010	—	`conf`	CSCW-based supply chain performance analysis system. NCM Yanping Wang, Bo Sun, Guannan Qu
2010	—	`conf`	Contention-Tolerant Crossbar Packet Switches without and with Speedup. ICC Guannan Qu, Hyung Jae Chang, Jianping Wang, Zhiyi Fang, S. Q. Zheng
2010	C	`conf`	Designing fully distributed scheduling algorithms for contention-tolerant crossbar switches. HPSR Guannan Qu, Hyung Jae Chang, Jianping Wang, Zhiyi Fang, Si-Qing Zheng
2010	B	`conf`	Making Contention-Tolerant Crossbar Switch Scalable. GLOBECOM Hyung Jae Chang, Guannan Qu, Jianping Wang, S. Q. Zheng
2010	J	`jnl`	Queueing Analysis of Multi-Layer Contention-Tolerant Crossbar Switch. IEEE Commun. Lett. Guannan Qu, Hyung Jae Chang, Jianping Wang, Zhiyi Fang, Si-Qing Zheng
2007	C	`conf`	A Framework of Agent-Based Collaborative Intelligent Transport System. CSCWD Xiaonan Liu, Zhiyi Fang, Guannan Qu, Hongjun Yang, Tong Pan
2006	—	`conf`	A Framework of Agent-Based Supply Chain Performance Analysis System. BASYS Guannan Qu, Zhiyi Fang, Chao Zhang