Minghui Zhu

Orcid: 0000-0003-3879-7820

According to our database1, Minghui Zhu authored at least 110 papers between 2006 and 2024.

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Bibliography

2024
Secure Perception-Driven Control of Mobile Robots Using Chaotic Encryption.
IEEE Trans. Autom. Control., April, 2024

Federated reinforcement learning for robot motion planning with zero-shot generalization.
CoRR, 2024

iPolicy: Incremental Policy Algorithms for Feedback Motion Planning.
CoRR, 2024

2023
Optimal Bilevel Lottery Design for Multiagent Systems.
IEEE Trans. Syst. Man Cybern. Syst., November, 2023

Learning Evacuee Models from Robot-Guided Emergency Evacuation Experiments.
CoRR, 2023

Multi-Robot-Guided Crowd Evacuation: Two-Scale Modeling and Control Based on Mean-Field Hydrodynamic Models.
CoRR, 2023

Online Constrained Meta-Learning: Provable Guarantees for Generalization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Multi-agent Behaviors from Distributed and Streaming Demonstrations.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-robot-assisted human crowd control for emergency evacuation: A stabilization approach.
Proceedings of the American Control Conference, 2023

Federated reinforcement learning for generalizable motion planning.
Proceedings of the American Control Conference, 2023

Efficient Gradient Approximation Method for Constrained Bilevel Optimization.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Distributed Economic Control of Dynamically Coupled Networks.
IEEE Trans. Cybern., 2022

A multivariate adaptive gradient algorithm with reduced tuning efforts.
Neural Networks, 2022

An adaptive polyak heavy-ball method.
Mach. Learn., 2022

Robust digital watermarking with parallel compact sparrow search algorithm applied for QR code.
J. Inf. Hiding Multim. Signal Process., 2022

Distributed Safe Learning and Planning for Multi-robot Systems.
CoRR, 2022

Scalable distributed algorithms for multi-robot near-optimal motion planning.
Autom., 2022

Meta Value Learning for Fast Policy-Centric Optimal Motion Planning.
Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Byzantine-tolerant federated Gaussian process regression for streaming data.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Distributed Inverse Constrained Reinforcement Learning for Multi-agent Systems.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multi-Robot-Assisted Human Crowd Evacuation using Navigation Velocity Fields.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

dSLAP: Distributed Safe Learning and Planning for Multi-robot Systems.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
A Co-Design Adaptive Defense Scheme With Bounded Security Damages Against Heartbleed-Like Attacks.
IEEE Trans. Inf. Forensics Secur., 2021

Pareto Optimal Multirobot Motion Planning.
IEEE Trans. Autom. Control., 2021

Resource-aware Distributed Gaussian Process Regression for Real-time Machine Learning.
CoRR, 2021

Distributed safe reinforcement learning for multi-robot motion planning.
Proceedings of the 29th Mediterranean Conference on Control and Automation, 2021

2020
Adaptive Cyber Defense Against Multi-Stage Attacks Using Learning-Based POMDP.
ACM Trans. Priv. Secur., 2020

Distributed Robust Adaptive Frequency Control of Power Systems With Dynamic Loads.
IEEE Trans. Autom. Control., 2020

DeepReturn: A deep neural network can learn how to detect previously-unseen ROP payloads without using any heuristics.
J. Comput. Secur., 2020

Cyber-Resilient Transactive Energy System Design over Insecure Communication Links.
CoRR, 2020

On privacy preserving data release of linear dynamic networks.
Autom., 2020

Simultaneous input and state estimation for stochastic nonlinear systems with additive unknown inputs.
Autom., 2020

Data-driven Distributed State Estimation and Behavior Modeling in Sensor Networks.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Attack detection of nonlinear distributed control systems.
Proceedings of the 2020 American Control Conference, 2020

Communication-aware Distributed Gaussian Process Regression Algorithms for Real-time Machine Learning.
Proceedings of the 2020 American Control Conference, 2020

Privacy-Preserving Transactive Energy System.
Proceedings of the 2020 American Control Conference, 2020

On Data-driven Attack-resilient Gaussian Process Regression for Dynamic Systems.
Proceedings of the 2020 American Control Conference, 2020

2019
Reinforcement Learning for Adaptive Cyber Defense Against Zero-Day Attacks.
Proceedings of the Adversarial and Uncertain Reasoning for Adaptive Cyber Defense, 2019

Overview of Control and Game Theory in Adaptive Cyber Defenses.
Proceedings of the Adversarial and Uncertain Reasoning for Adaptive Cyber Defense, 2019

MTD Techniques for Memory Protection Against Zero-Day Attacks.
Proceedings of the Adversarial and Uncertain Reasoning for Adaptive Cyber Defense, 2019

Optimal Bi-level Lottery Design for Multi-agent Systems.
CoRR, 2019

On convergence rates of game theoretic reinforcement learning algorithms.
Autom., 2019

A control-theoretic perspective on cyber-physical privacy: Where data privacy meets dynamic systems.
Annu. Rev. Control., 2019

Economic Dispatch of Grid-Connected Microgrid for Smart Building Considering the Impact of Air Temperature.
IEEE Access, 2019

2018
Switching and Data Injection Attacks on Stochastic Cyber-Physical Systems: Modeling, Resilient Estimation, and Attack Mitigation.
ACM Trans. Cyber Phys. Syst., 2018

Feedback control can make data structure layout randomization more cost-effective under zero-day attacks.
Cybersecur., 2018

ROPNN: Detection of ROP Payloads Using Deep Neural Networks.
CoRR, 2018

Nonlinear Unknown Input and State Estimation Algorithm in Mobile Robots.
CoRR, 2018

Privacy preserving distributed optimization using homomorphic encryption.
Autom., 2018

Multi-view Brain Network Prediction from a Source View Using Sample Selection via CCA-Based Multi-kernel Connectomic Manifold Learning.
Proceedings of the PRedictive Intelligence in MEdicine - First International Workshop, 2018

RoboADS: Anomaly Detection Against Sensor and Actuator Misbehaviors in Mobile Robots.
Proceedings of the 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2018

Pareto optimal multi-robot motion planning.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Simultaneous Input and State Estimation for Linear Time-Varying Continuous-Time Stochastic Systems.
IEEE Trans. Autom. Control., 2017

Exploiting Physical Dynamics to Detect Actuator and Sensor Attacks in Mobile Robots.
CoRR, 2017

VCIDS: Collaborative Intrusion Detection of Sensor and Actuator Attacks on Connected Vehicles.
Proceedings of the Security and Privacy in Communication Networks, 2017

What You See is Not What You Get! Thwarting Just-in-Time ROP with Chameleon.
Proceedings of the 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2017

Physics-integrated hierarchical/distributed HVAC optimization for multiple buildings with robustness against time delays.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

An integrated design of optimization and physical dynamics for energy efficient buildings: A passivity approach.
Proceedings of the IEEE Conference on Control Technology and Applications, 2017

Online Algorithms for Adaptive Cyber Defense on Bayesian Attack Graphs.
Proceedings of the 2017 Workshop on Moving Target Defense, 2017

Attack-resilient estimation of switched nonlinear cyber-physical systems.
Proceedings of the 2017 American Control Conference, 2017

2016
Simultaneous Mode, Input and State Estimation for Switched Linear Stochastic Systems.
CoRR, 2016

Distributed robust adaptive equilibrium computation for generalized convex games.
Autom., 2016

A unified filter for simultaneous input and state estimation of linear discrete-time stochastic systems.
Autom., 2016

Towards a Science for Adaptive Defense: Revisit Server Protection.
Proceedings of the 2nd IEEE International Conference on Collaboration and Internet Computing, 2016

Robust adaptive motion planning in the presence of dynamic obstacles.
Proceedings of the 2016 American Control Conference, 2016

Data-driven anytime algorithms for motion planning with safety guarantees.
Proceedings of the 2016 American Control Conference, 2016

2015
Reviewing the book "Principles of Cyber-physical Systems" from a security perspective.
EAI Endorsed Trans. Security Safety, 2015

Distributed Robust Adaptive Frequency Regulation of Power Grid with Renewable Integration.
CoRR, 2015

Resilient state estimation against switching attacks on stochastic cyber-physical systems.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Simultaneous input and state estimation with a delay.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Simultaneous input and state estimation of linear discrete-time stochastic systems with input aggregate information.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Optimal incentive design for distributed stabilizing control of nonlinear dynamic networks.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

On confidentiality preserving monitoring of linear dynamic networks against inference attacks.
Proceedings of the American Control Conference, 2015

Simultaneous input and state estimation for linear time-invariant continuous-time stochastic systems with unknown inputs.
Proceedings of the American Control Conference, 2015

Distributed robust frequency regulation of smart power grid with renewable integration.
Proceedings of the American Control Conference, 2015

2014
On the Performance Analysis of Resilient Networked Control Systems Under Replay Attacks.
IEEE Trans. Autom. Control., 2014

On Attack-Resilient Distributed Formation Control in Operator-Vehicle Networks.
SIAM J. Control. Optim., 2014

Probabilistic Harmonic Calculation in Distribution Networks with Electric Vehicle Charging Stations.
J. Appl. Math., 2014

Game theoretic controller synthesis for multi-robot motion planning Part I: Trajectory based algorithms.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Stability constrained incentive design for distributed frequency control of power grid.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Simultaneous input and state smoothing for linear discrete-time stochastic systems with unknown inputs.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Generalized innovation and inference algorithms for hidden mode switched linear stochastic systems with unknown inputs.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Reinforcement Learning Algorithms for Adaptive Cyber Defense against Heartbleed.
Proceedings of the First ACM Workshop on Moving Target Defense, 2014

Comparing Different Moving Target Defense Techniques.
Proceedings of the First ACM Workshop on Moving Target Defense, 2014

2013
An Approximate Dual Subgradient Algorithm for Multi-Agent Non-Convex Optimization.
IEEE Trans. Autom. Control., 2013

Distributed Coverage Games for Energy-Aware Mobile Sensor Networks.
SIAM J. Control. Optim., 2013

A Unified Framework for Simultaneous Input and State Estimation of Linear Discrete-time Stochastic Systems.
CoRR, 2013

On distributed constrained formation control in operator-vehicle adversarial networks.
Autom., 2013

Anytime computation algorithms for stochastically parametric approach-evasion differential games.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Simultaneous input and state estimation for linear discrete-time stochastic systems with direct feedthrough.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Real-time game theoretic coordination of competitive mobility-on-demand systems.
Proceedings of the American Control Conference, 2013

2012
On Distributed Convex Optimization Under Inequality and Equality Constraints.
IEEE Trans. Autom. Control., 2012

On competitive search games for multiple vehicles.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

On distributed equilibrium seeking for generalized convex games.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

On resilient consensus against replay attacks in operator-vehicle networks.
Proceedings of the American Control Conference, 2012

2011
Distributed decision-making of networked multi-agent systems in complex environments.
PhD thesis, 2011

On the Convergence Time of Asynchronous Distributed Quantized Averaging Algorithms.
IEEE Trans. Autom. Control., 2011

Attack-resilient distributed formation control via online adaptation.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Stackelberg-game analysis of correlated attacks in cyber-physical systems.
Proceedings of the American Control Conference, 2011

2010
On distributed convex optimization under inequality and equality constraints via primal-dual subgradient methods.
CoRR, 2010

Discrete-time dynamic average consensus.
Autom., 2010

A distributed joint-learning and auction algorithm for target assignment.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

On distributed optimization under inequality constraints via Lagrangian primal-dual methods.
Proceedings of the American Control Conference, 2010

On distributed optimization under inequality and equality constraints via penalty primal-dual methods.
Proceedings of the American Control Conference, 2010

2009
Distributed coverage games for mobile visual sensors (II) : Reaching the set of global optima.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Distributed coverage games for mobile visual sensors (I): Reaching the set of Nash equilibria.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
On the convergence time of distributed quantized averaging algorithms.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Dynamic average consensus on synchronous communication networks.
Proceedings of the American Control Conference, 2008

2006
Small Gain Theorem with Restrictions for Uncertain Time-varying Nonlinear Systems.
Commun. Inf. Syst., 2006

Semi-global robust stabilization of a class of feedforward systems.
Proceedings of the American Control Conference, 2006


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