Zhan Shu

Orcid: 0000-0002-5933-254X

According to our database1, Zhan Shu authored at least 110 papers between 2006 and 2024.

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Bibliography

2024
Event-Triggered Robust MPC With Terminal Inequality Constraints: A Data-Driven Approach.
IEEE Trans. Autom. Control., July, 2024

Distributed Byzantine-Resilient Observer for High-Order Integrator Multiagent Systems on Directed Graphs: An Edge-Based Approach.
IEEE Trans. Autom. Control., May, 2024

Resilient Output Formation-Tracking of Heterogeneous Multiagent Systems Against General Byzantine Attacks: A Twin-Layer Approach.
IEEE Trans. Cybern., April, 2024

Stability Analysis of Delayed Discrete Singular Piecewise Homogeneous Markovian Jump Systems With Unknown Transition Probabilities via Sliding-Mode Approach.
IEEE Trans. Autom. Control., January, 2024

Event-Triggered Stochastic Model Predictive Control for Constrained Queueing Networks.
IEEE Trans. Netw. Sci. Eng., 2024

Vessel Target Detection Method Based on an Improved CFAR Method in Nighttime Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2024

EAGLE: Evasion Attacks Guided by Local Explanations Against Android Malware Classification.
IEEE Trans. Dependable Secur. Comput., 2024

ERCache: An Efficient and Reliable Caching Framework for Large-Scale User Representations in Meta's Ads System.
CoRR, 2024

LADEV: A Language-Driven Testing and Evaluation Platform for Vision-Language-Action Models in Robotic Manipulation.
CoRR, 2024

Towards Testing and Evaluating Vision-Language-Action Models for Robotic Manipulation: An Empirical Study.
CoRR, 2024

Oracle Bone Inscriptions Multi-modal Dataset.
CoRR, 2024

GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model.
CoRR, 2024

Traffic Divergence Theory: An Analysis Formalism for Dynamic Networks.
IEEE Access, 2024

Scaling User Modeling: Large-scale Online User Representations for Ads Personalization in Meta.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Towards Building AI-CPS with NVIDIA Isaac Sim: An Industrial Benchmark and Case Study for Robotics Manipulation.
Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice, 2024

ISR-LLM: Iterative Self-Refined Large Language Model for Long-Horizon Sequential Task Planning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Transformer-Enabled DRL Routing for DCNs with Sequential Flow Features.
Proceedings of the IEEE International Conference on Communications, 2024

Distributed Source Seeking for a Periodic Signal Using an Improved Gaussian Process-Based Model Predictive Control.
Proceedings of the American Control Conference, 2024

CVD_Net: Head and Neck Tumor Segmentation and Generalization in PET/CT Scans Across Data from Multiple Medical Centers.
Proceedings of the Artificial Intelligence in Healthcare - First International Conference, 2024

2023
Resilient Formation Tracking of Spacecraft Swarm Against Actuation Attacks: A Distributed Lyapunov-Based Model Predictive Approach.
IEEE Trans. Syst. Man Cybern. Syst., November, 2023

Private and Utility Enhanced Recommendations With Local Differential Privacy and Gaussian Mixture Model.
IEEE Trans. Knowl. Data Eng., April, 2023

Learning Optimal Topology for Ad-Hoc Robot Networks.
IEEE Robotics Autom. Lett., April, 2023

Robust Model Predictive Control Using a Two-Step Triggering Scheme.
IEEE Trans. Autom. Control., March, 2023

Topology Recoverability Prediction for Ad-Hoc Robot Networks: A Data-Driven Fault-Tolerant Approach.
IEEE Trans. Signal Inf. Process. over Networks, 2023

Dissipative Tracking Control of Nonlinear Markov Jump Systems With Incomplete Transition Probabilities: A Multiple-Event-Triggered Approach.
IEEE Trans. Fuzzy Syst., 2023

Scaling User Modeling: Large-scale Online User Representations for Ads Personalization in Meta.
CoRR, 2023

Self-Refined Large Language Model as Automated Reward Function Designer for Deep Reinforcement Learning in Robotics.
CoRR, 2023

Data-Driven Leader-following Consensus for Nonlinear Multi-Agent Systems against Composite Attacks: A Twins Layer Approach.
CoRR, 2023

Periodic event-based robust output regulation for a class of uncertain linear systems with inter-event analysis.
Autom., 2023

Model-free optimal control of discrete-time systems with additive and multiplicative noises.
Autom., 2023

Topology Design for Data Center Networks Using Deep Reinforcement Learning.
Proceedings of the International Conference on Information Networking, 2023

Distributed Source Seeking Using A Bi-Level Distributed Model Predictive Control Algorithm.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Event-Triggered Model Predictive Control for Compartmental Systems with Application to Congestion Control of Air Traffic Networks.
Proceedings of the IEEE Conference on Control Technology and Applications, 2023

Robust MPC for Open-Loop Unstable Systems Using A New Data-Based System Representation.
Proceedings of the American Control Conference, 2023

2022
Nonnegative Consensus Tracking of Networked Systems With Convergence Rate Optimization.
IEEE Trans. Neural Networks Learn. Syst., 2022

Positivity and Stability Analysis of T-S Fuzzy Descriptor Systems With Bounded and Unbounded Time-Varying Delays.
IEEE Trans. Cybern., 2022

aiMSE: Toward an AI-Based Online Mental Status Examination.
IEEE Pervasive Comput., 2022

IoTInfer: Automated Blackbox Fuzz Testing of IoT Network Protocols Guided by Finite State Machine Inference.
IEEE Internet Things J., 2022

Aperiodic Sampled-Data Distributed Observer Design.
CoRR, 2022

OpTopNET: A Learning Optimal Topology Synthesizer for Ad-hoc Robot Networks.
CoRR, 2022

Event-triggered robust model predictive control with stochastic event verification.
Autom., 2022

Model-free Predictive Optimal Iterative Learning Control using Reinforcement Learning.
Proceedings of the American Control Conference, 2022

2021
Generalized Lead-Lag H<sub>∞</sub> Compensators for MIMO Linear Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Distributed Prescribed-Time Interval Bipartite Consensus of Multi-Agent Systems on Directed Graphs: Theory and Experiment.
IEEE Trans. Netw. Sci. Eng., 2021

Event-triggered attitude synchronization of multiple rigid-body systems.
Syst. Control. Lett., 2021

Reinforcement Learning Based Safe Decision Making for Highway Autonomous Driving.
CoRR, 2021

Cooperative Output Regulation with Mixed Time- and Event-triggered Observers.
CoRR, 2021

Towards Automatic Operation Motion Tracking Algorithm Based on Inertial Sensors for Multi Joints Machinery.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2021

A convex combination strategy in event-triggered robust MPC for linear discrete-time systems with bounded disturbances.
Proceedings of the 4th IEEE International Conference on Industrial Cyber-Physical Systems, 2021

2020
Positivity-Preserving Consensus of Homogeneous Multiagent Systems.
IEEE Trans. Autom. Control., 2020

Big data metrics: Time sensitivity analysis of multimedia news.
J. Intell. Fuzzy Syst., 2020

On positively invariant polyhedrons for continuous-time positive linear systems.
J. Frankl. Inst., 2020

Unconstrained temporal inconsistency checking of natural language in webpage.
Int. J. Web Grid Serv., 2020

On joint design of intentionally introduced delay and controller gain for stabilization of second-order oscillatory systems.
Autom., 2020

Redundant Forward Gateway in Heterogeneous WLAN and LTE-M Networks for Reliable Metro Communication.
Proceedings of the 18th IEEE International Conference on Industrial Informatics, 2020

Local Differentially Private Matrix Factorization with MoG for Recommendations.
Proceedings of the Data and Applications Security and Privacy XXXIV, 2020

2019
Sampled-Data Control With Adjustable Switching Frequency for DC-DC Converters.
IEEE Trans. Ind. Electron., 2019

Vector-Based Model Predictive Hysteresis Current Control for Asynchronous Motor.
IEEE Trans. Ind. Electron., 2019

ℋ<sub>∞</sub> Control for 2-D Markov Jump Systems in Roesser Model.
IEEE Trans. Autom. Control., 2019

Interacting Multiple Model Estimator for Networked Control Systems: Stability, Convergence, and Performance.
IEEE Trans. Autom. Control., 2019

A combined NN and dynamic gain-based approach to further stabilize nonlinear time-delay systems.
Neural Comput. Appl., 2019

H∞ control of Markov jump time-delay systems under asynchronous controller and quantizer.
Autom., 2019

Residual Magnifier: A Dense Information Flow Network for Super Resolution.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

2018
A Comparative Study Between AI-HM and SPD-HM for Railway Auxiliary Inverter With Pulsating DC Link.
IEEE Trans. Ind. Electron., 2018

A Hybrid Design Approach for Output Feedback Exponential Stabilization of Markovian Jump Systems.
IEEE Trans. Autom. Control., 2018

On stability and convergence of optimal estimation for networked control systems with dual packet losses without acknowledgment.
Autom., 2018

BigBing: Privacy-Preserving Cloud-Based Malware Classification Service.
Proceedings of the 2018 IEEE Symposium on Privacy-Aware Computing, 2018

Proportional Fairness in Wireless Powered CSMA/CA Based IoT Networks.
Proceedings of the IEEE Global Communications Conference, 2018

Ensuring Deception Consistency for FTP Services Hardened against Advanced Persistent Threats.
Proceedings of the 5th ACM Workshop on Moving Target Defense, 2018

2017
Passivity-Based Asynchronous Control for Markov Jump Systems.
IEEE Trans. Autom. Control., 2017

Optimal Estimation and Control for Lossy Network: Stability, Convergence, and Performance.
IEEE Trans. Autom. Control., 2017

Non-fragile multivariable PID controller design via system augmentation.
Int. J. Syst. Sci., 2017

Corrigendum to "On reachable sets for positive linear systems under constrained exogenous inputs" [Automatica 74 (2016) 230-237].
Autom., 2017

Global dynamics of an HIV model incorporating senior male clients.
Appl. Math. Comput., 2017

ExploitMeter: Combining Fuzzing with Machine Learning for Automated Evaluation of Software Exploitability.
Proceedings of the IEEE Symposium on Privacy-Aware Computing, 2017

2016
Consensus of Multiagent Systems Using Aperiodic Sampled-Data Control.
IEEE Trans. Cybern., 2016

Optimal Estimation in UDP-Like Networked Control Systems With Intermittent Inputs: Stability Analysis and Suboptimal Filter Design.
IEEE Trans. Autom. Control., 2016

Stability analysis of Hopfield neural networks perturbed by Poisson noises.
Neurocomputing, 2016

On reachable sets for positive linear systems under constrained exogenous inputs.
Autom., 2016

2015
Optimal Data Scaling for Principal Component Pursuit: A Lyapunov Approach to Convergence.
IEEE Trans. Autom. Control., 2015

Passivity-based non-fragile control for Markovian jump systems with aperiodic sampling.
Syst. Control. Lett., 2015

2014
Stability Analysis of Continuous-Time Switched Systems With a Random Switching Signal.
IEEE Trans. Autom. Control., 2014

Visualization and Confirmatory Clustering of Sequence Data from a Simulation-Based Assessment Task.
Proceedings of the 7th International Conference on Educational Data Mining, 2014

2013
Stability and Stabilization for Markovian Jump Time-Delay Systems With Partially Unknown Transition Rates.
IEEE Trans. Circuits Syst. I Regul. Pap., 2013

Realizations of a Special Class of Admittances With Strictly Lower Complexity Than Canonical Forms.
IEEE Trans. Circuits Syst. I Regul. Pap., 2013

Dissipative control for linear systems by static output feedback.
Int. J. Syst. Sci., 2013

Using Neural Network Analysis to Define Methods of DINA Model Estimation for Small Sample Sizes.
J. Classif., 2013

<i>ℓ</i><sub>1</sub>ℓ1-induced norm and controller synthesis of positive systems.
Autom., 2013

2012
Optimal time-weighted <i>H</i> <sub>2</sub> model reduction for Markovian jump systems.
Int. J. Control, 2012

Asynchronous output-feedback stabilization of discrete-time Markovian jump linear systems.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
Stabilization Over Power-Constrained Parallel Gaussian Channels.
IEEE Trans. Autom. Control., 2011

A mathematical study on immune activation and related dynamics in HIV infection.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
On the Transient and Steady-State Estimates of Interval Genetic Regulatory Networks.
IEEE Trans. Syst. Man Cybern. Part B, 2010

H<sub>∞</sub> Positive Filtering for Positive Linear Discrete-Time Systems: An Augmentation Approach.
IEEE Trans. Autom. Control., 2010

Stabilization of Markovian Systems via Probability Rate Synthesis and Output Feedback.
IEEE Trans. Autom. Control., 2010

Internal positivity preserved model reduction.
Int. J. Control, 2010

Static output-feedback stabilization of discrete-time Markovian jump linear systems: A system augmentation approach.
Autom., 2010

Stabilization for state/input delay systems via static and integral output feedback.
Autom., 2010

Strong Stabilization by Output Feedback Controllers for Input-delayed Linear Systems.
Proceedings of the ICINCO 2010, 2010

2009
Non-Fragile Exponential Stability Assignment of Discrete-Time Linear Systems With Missing Data in Actuators.
IEEE Trans. Autom. Control., 2009

On positive filtering with <i>H</i><sub>∞</sub> performance for compartmental networks.
Int. J. Syst. Sci., 2009

Robust stabilization of uncertain T-S fuzzy time-delay systems with exponential estimates.
Fuzzy Sets Syst., 2009

Simultaneous H<sub>infinity</sub> stabilization via fixed-order controllers: Equivalence and computation.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Positive observers for positive interval linear discrete-time delay systems.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
Positive Observers and Dynamic Output-Feedback Controllers for Interval Positive Linear Systems.
IEEE Trans. Circuits Syst. I Regul. Pap., 2008

Global exponential estimates of stochastic interval neural networks with discrete and distributed delays.
Neurocomputing, 2008

Exponential estimates and stabilization of uncertain singular systems with discrete and distributed delays.
Int. J. Control, 2008

2007
Robust H<sub>∞</sub> control of descriptor discrete-time Markovian jump systems.
Int. J. Control, 2007

2006
Robust stabilization of Markovian delay systems with delay-dependent exponential estimates.
Autom., 2006

Delay-Dependent Exponential Estimates of Stochastic Neural Networks with Time Delay.
Proceedings of the Neural Information Processing, 13th International Conference, 2006


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