Lu Dong

Orcid: 0000-0001-6737-1381

Affiliations:
  • Southeast University, School of Cyber Science and Engineering, Key Laboratory of Measurement and Control of Complex Systems of Engineering, Nanjing, China
  • University of Rhode Island, Department of Electrical, Computer, and Biomedical Engineering, Kingston, USA


According to our database1, Lu Dong authored at least 41 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Semi-Supervised Feature Distillation and Unsupervised Domain Adversarial Distillation for Underwater Image Enhancement.
IEEE Trans. Circuits Syst. Video Technol., August, 2024

Switching-Event-Based Interval Type-2 T-S Variable Direction Fuzzy Control for Time-Delay Systems With Unknown Control Directions.
IEEE Trans. Fuzzy Syst., July, 2024

Discovering Latent Variables for the Tasks With Confounders in Multi-Agent Reinforcement Learning.
IEEE CAA J. Autom. Sinica, July, 2024

A Local-and-Global Attention Reinforcement Learning Algorithm for Multiagent Cooperative Navigation.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

Correction: Hierarchical reinforcement learning for kinematic control tasks with parameterized action spaces.
Neural Comput. Appl., April, 2024

Switching-Event-Based Interval Type-2 Fuzzy Control for a Class of Uncertain Nonlinear Systems.
IEEE Trans. Fuzzy Syst., February, 2024

Hierarchical multi-agent reinforcement learning for cooperative tasks with sparse rewards in continuous domain.
Neural Comput. Appl., January, 2024

Hierarchical reinforcement learning for kinematic control tasks with parameterized action spaces.
Neural Comput. Appl., January, 2024

Functionality-Verification Attack Framework Based on Reinforcement Learning Against Static Malware Detectors.
IEEE Trans. Inf. Forensics Secur., 2024

Multi-robot social-aware cooperative planning in pedestrian environments using attention-based actor-critic.
Artif. Intell. Rev., 2024

Reinforcement Learning with Safe Action Generation for Autonomous Racing.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023
Multiagent Soft Actor-Critic Based Hybrid Motion Planner for Mobile Robots.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Event-based adaptive fuzzy tracking control for nonlinear systems with input magnitude and rate saturations.
Int. J. Syst. Sci., December, 2023

Credit assignment in heterogeneous multi-agent reinforcement learning for fully cooperative tasks.
Appl. Intell., December, 2023

Hybrid Reinforcement Learning for Optimal Control of Non-Linear Switching System.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

Multi-objective deep reinforcement learning for crowd-aware robot navigation with dynamic human preference.
Neural Comput. Appl., August, 2023

Adaptive Deep Learning Network With Multi-Scale and Multi-Dimensional Features for Underwater Image Enhancement.
IEEE Trans. Broadcast., June, 2023

Multi-Task Reinforcement Learning With Attention-Based Mixture of Experts.
IEEE Robotics Autom. Lett., June, 2023

Robust Navigation with Cross-Modal Fusion and Knowledge Transfer.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Multi-scale and Self-mutual Feature Distillation.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

2022
Neural Network-Based Finite-Time Distributed Formation-Containment Control of Two-Layer Quadrotor UAVs.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Asynchronous Multithreading Reinforcement-Learning-Based Path Planning and Tracking for Unmanned Underwater Vehicle.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Robust Pose Estimation via Hybrid Point and Twin Line Reprojection for RGB-D Vision Navigation.
IEEE Trans. Instrum. Meas., 2022

Critic Learning-Based Control for Robotic Manipulators With Prescribed Constraints.
IEEE Trans. Cybern., 2022

Efficient Exploration for Multi-Agent Reinforcement Learning via Transferable Successor Features.
IEEE CAA J. Autom. Sinica, 2022

Multi-robot Social-aware Cooperative Planning in Pedestrian Environments Using Multi-agent Reinforcement Learning.
CoRR, 2022

Distributed output feedback consensus tracking control of multiple nonholonomic mobile robots with only position information of leader.
Appl. Math. Comput., 2022

2021
Reinforcement Learning With Task Decomposition for Cooperative Multiagent Systems.
IEEE Trans. Neural Networks Learn. Syst., 2021

Solver-Critic: A Reinforcement Learning Method for Discrete-Time-Constrained-Input Systems.
IEEE Trans. Cybern., 2021

Data-based optimal tracking of autonomous nonlinear switching systems.
IEEE CAA J. Autom. Sinica, 2021

Multi-agent Soft Actor-Critic Based Hybrid Motion Planner for Mobile Robots.
CoRR, 2021

2020
Cooperative control for multi-player pursuit-evasion games with reinforcement learning.
Neurocomputing, 2020

Neural network based tracking control for an elastic joint robot with input constraint via actor-critic design.
Neurocomputing, 2020

Event-triggered receding horizon control via actor-critic design.
Sci. China Inf. Sci., 2020

2019
Functional Nonlinear Model Predictive Control Based on Adaptive Dynamic Programming.
IEEE Trans. Cybern., 2019

Adaptive control based on neural networks for an uncertain 2-DOF helicopter system with input deadzone and output constraints.
IEEE CAA J. Autom. Sinica, 2019

2017
Event-Triggered Adaptive Dynamic Programming for Continuous-Time Systems With Control Constraints.
IEEE Trans. Neural Networks Learn. Syst., 2017

Adaptive Event-Triggered Control Based on Heuristic Dynamic Programming for Nonlinear Discrete-Time Systems.
IEEE Trans. Neural Networks Learn. Syst., 2017

Robust optimal control for time-delay systems with dynamic uncertainties via ADP.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
Dual heuristic dynamic programming based event-triggered control for nonlinear continuous-time systems.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
Predictive event-triggered control based on heuristic dynamic programming for nonlinear continuous-time systems.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015


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