Lingying Huang

Orcid: 0000-0002-6064-142X

According to our database1, Lingying Huang authored at least 29 papers between 2019 and 2025.

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Bibliography

2025
Clustering-based detection algorithm of remote state estimation under stealthy innovation-based attacks with historical data.
Neurocomputing, 2025

2024
Distributed Cooperative Control and Optimization of Connected Automated Vehicles Platoon Against Cut-In Behaviors of Social Drivers.
IEEE Trans. Autom. Control., November, 2024

Neural-Network-Based Distributed Generalized Nash Equilibrium Seeking for Uncertain Nonlinear Multiagent Systems.
IEEE Trans. Control. Netw. Syst., September, 2024

Differential Privacy in Distributed Optimization With Gradient Tracking.
IEEE Trans. Autom. Control., September, 2024

Modeling Driver Decision Behavior of the Cut-In Process.
IEEE Trans. Intell. Transp. Syst., May, 2024

Plug-and-Play Distributed Estimation of Driving States in an Open Vehicle Platoon.
IEEE Trans. Ind. Informatics, April, 2024

Event-Triggered Multi-Sensor Scheduling for Remote State Estimation Over Packet-Dropping Networks.
IEEE Trans. Signal Process., 2024

Differentially Private Dual Gradient Tracking for Distributed Resource Allocation.
CoRR, 2024

Distributed Average Consensus via Noisy and Non-Coherent Over-the-Air Aggregation.
CoRR, 2024

Sparse sensor selection for distributed systems: An l1-relaxation approach.
Autom., 2024

Over-the-air Federated Policy Gradient.
Proceedings of the IEEE International Conference on Communications, 2024

S<sup>2</sup>NeRF: Privacy-preserving Training Framework for NeRF.
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023
A Differentially Private Method for Distributed Optimization in Directed Networks via State Decomposition.
IEEE Trans. Control. Netw. Syst., December, 2023

Privacy-Preserving Push-Sum Average Consensus via State Decomposition.
IEEE Trans. Autom. Control., December, 2023

Sensor selection for remote state estimation with QoS requirement constraints.
Autom., November, 2023

Intention Prediction-Based Control for Vehicle Platoon to Handle Driver Cut-In.
IEEE Trans. Intell. Transp. Syst., May, 2023

LQG Control Over SWIPT-enabled Wireless Communication Network.
CoRR, 2023

Mixed Traffic Optimization With Platooning Technology Based on Stackelberg Game Theory.
Proceedings of the IEEE International Conference on Cybernetics and Intelligent Systems, 2023

Cyber-Attack Detection Framework for Connected Vehicles in V2X Networks Based on An Iterative UFIR Filter.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Preserving Data-Privacy Cooperative Control of Discrete-Time Multi-Agent Systems.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Modeling of Driver Cut-in Behavior Towards a Platoon.
IEEE Trans. Intell. Transp. Syst., 2022

Joint Sensor and Actuator Placement for Infinite-Horizon LQG Control.
IEEE Trans. Autom. Control., 2022

Sensor scheduling design for complex networks under a distributed state estimation framework.
Autom., 2022

Improving Primal Heuristics for Mixed Integer Programming Problems based on Problem Reduction: A Learning-based Approach.
Proceedings of the 17th International Conference on Control, 2022

2021
Stochastic Event-Based Sensor Schedules for Remote State Estimation in Cognitive Radio Sensor Networks.
IEEE Trans. Autom. Control., 2021

Branch and Bound in Mixed Integer Linear Programming Problems: A Survey of Techniques and Trends.
CoRR, 2021

A Differential Private Method for Distributed Optimization in Directed Networks via State Decomposition.
CoRR, 2021

Encryption scheduling for remote state estimation under an operation constraint.
Autom., 2021

2019
Finite Time Encryption Schedule in the Presence of an Eavesdropper with Operation Cost.
Proceedings of the 2019 American Control Conference, 2019


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