Xuan Wang

According to our database, Xuan Wang authored at least 32 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Heterogeneous Team Coordination on Partially Observable Graphs with Realistic Communication.

Yanlin Zhou, Manshi Limbu, Xuan Wang, Daigo Shishika, Xuesu Xiao

CoRR, 2024

Multi-Robot Coordination Induced in an Adversarial Graph-Traversal Game.

James Berneburg, Xuan Wang, Xuesu Xiao, Daigo Shishika

CoRR, 2024

Learning Coordinated Maneuver in Adversarial Environments.

Zechen Hu, Manshi Limbu, Daigo Shishika, Xuesu Xiao, Xuan Wang

CoRR, 2024

Bi-CL: A Reinforcement Learning Framework for Robots Coordination Through Bi-level Optimization.

Zechen Hu, Daigo Shishika, Xuesu Xiao, Xuan Wang

CoRR, 2024

Team Coordination on Graphs: Problem, Analysis, and Algorithms.

Manshi Limbu, Yanlin Zhou, Gregory J. Stein, Xuan Wang, Daigo Shishika, Xuesu Xiao

CoRR, 2024

Scaling Team Coordination on Graphs with Reinforcement Learning.

Manshi Limbu, Zechen Hu, Xuan Wang, Daigo Shishika, Xuesu Xiao

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Causality-based Subject and Task Fingerprints using fMRI Time-series Data.

Dachuan Song, Li Shen, Duy Duong-Tran, Xuan Wang

Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

2023

Consensus-Based Distributed Optimization Enhanced by Integral Feedback.

Xuan Wang, Shaoshuai Mou, Brian D. O. Anderson

IEEE Trans. Autom. Control., March, 2023

Efficient Reconstruction of Neural Mass Dynamics Modeled by Linear-Threshold Networks.

Xuan Wang, Jorge Cortés

CoRR, 2023

Team Coordination on Graphs with State-Dependent Edge Cost.

Sara Oughourli, Manshi Limbu, Zechen Hu, Xuan Wang, Xuesu Xiao, Daigo Shishika

CoRR, 2023

Team Coordination on Graphs with State-Dependent Edge Costs.

Manshi Limbu, Zechen Hu, Sara Oughourli, Xuan Wang, Xuesu Xiao, Daigo Shishika

IROS, 2023

2022

Learning multi-robot coordination from demonstrations.

Xuan Wang, Wanxin Jin

CoRR, 2022

Resilience for Distributed Consensus with Constraints.

Xuan Wang, Shaoshuai Mou, Shreyas Sundaram

CoRR, 2022

Data-Driven Control of Linear-Threshold Network Dynamics.

Xuan Wang, Jorge Cortés

Proceedings of the American Control Conference, 2022

2021

Distributed Algorithm with Resilience for Multi-Agent Task Allocation.

Xuan Wang, Jeffrey Hudack, Shaoshuai Mou

Proceedings of the 4th IEEE International Conference on Industrial Cyber-Physical Systems, 2021

Data-Driven Reconstruction of Firing Rate Dynamics in Brain Networks.

Xuan Wang, Jorge Cortés

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

2020

Finite-Time Distributed Linear Equation Solver for Solutions With Minimum $l_1$-Norm.

Jingqiu Zhou, Xuan Wang, Shaoshuai Mou, Brian D. O. Anderson

IEEE Trans. Autom. Control., 2020

Scalable, Distributed Algorithms for Solving Linear Equations via Double-Layered Networks.

Xuan Wang, Shaoshuai Mou, Brian D. O. Anderson

IEEE Trans. Autom. Control., 2020

More Consensus is not always Beneficial.

Xuan Wang, Shaoshuai Mou

Proceedings of the 2020 American Control Conference, 2020

2019

A Distributed Algorithm for Least Squares Solutions.

Xuan Wang, Jingqiu Zhou, Shaoshuai Mou, Martin J. Corless

IEEE Trans. Autom. Control., 2019

A Scalable Distributed algorithm for Least Squares Solutions in Double-layered Multi-agent Networks.

Xuan Wang, Shaoshuai Mou

Proceedings of the 2019 American Control Conference, 2019

Resilience for Consensus-based Distributed Algorithms in Hostile Environment^†.

Xuan Wang, Shaoshuai Mou, Shreyas Sundaram

Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018

A Resilient Convex Combination for consensus-based distributed algorithms.

Xuan Wang, Shaoshuai Mou, Shreyas Sundaram

CoRR, 2018

A Distributed Algorithm with Scalar States for Solving Linear Equations.

Xuan Wang, Shaoshuai Mou, Brian D. O. Anderson

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Distributed Algorithm for Achieving Minimum l1 Norm Solutions of Linear Equation.

Jingqiu Zhou, Xuan Wang, Shaoshuai Mou, Brian D. O. Anderson

Proceedings of the 2018 Annual American Control Conference, 2018

A Distributed Algorithm for Achieving the Conservation Principle.

Xuan Wang, Shaoshuai Mou

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Improvement of a Distributed Algorithm for Solving Linear Equations.

Xuan Wang, Shaoshuai Mou, Dengfeng Sun

IEEE Trans. Ind. Electron., 2017

A Double-Layered Framework for Distributed Coordination in Solving Linear Equations.

Xuan Wang, Shaoshuai Mou, Brian D. O. Anderson

CoRR, 2017

A Distributed Algorithm for Least Square Solutions of Linear Equations.

Xuan Wang, Jingqiu Zhou, Shaoshuai Mou, Martin J. Corless

CoRR, 2017

Finite-Time Distributed Linear Equation Solver for Minimum $l_1$ Norm Solutions.

Jingqiu Zhou, Xuan Wang, Shaoshuai Mou, Brian D. O. Anderson

CoRR, 2017

A distributed linear equation solver for least square solutions.

Xuan Wang, Jingqiu Zhou, Shaoshuai Mou, Martin J. Corless

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

Further discussions on a distributed algorithm for solving linear algebra equations.

Xuan Wang, Shaoshuai Mou, Dengfeng Sun

Proceedings of the 2017 American Control Conference, 2017