Xin Xu
Orcid: 0000-0003-3238-745XAffiliations:
- National University of Defense Technology, College of Mechatronics and Automation, Changsha, China
According to our database1,
Xin Xu
authored at least 187 papers
between 2002 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
SQIX: QMIX Algorithm Activated by General Softmax Operator for Cooperative Multiagent Reinforcement Learning.
IEEE Trans. Syst. Man Cybern. Syst., November, 2024
Sample Efficient Deep Reinforcement Learning With Online State Abstraction and Causal Transformer Model Prediction.
IEEE Trans. Neural Networks Learn. Syst., November, 2024
Solving Orienteering Problems by Hybridizing Evolutionary Algorithm and Deep Reinforcement Learning.
IEEE Trans. Artif. Intell., November, 2024
Game-Theoretic Receding-Horizon Reinforcement Learning for Lateral Control of Autonomous Vehicles.
IEEE Trans. Veh. Technol., October, 2024
Model-Based Safe Reinforcement Learning With Time-Varying Constraints: Applications to Intelligent Vehicles.
IEEE Trans. Ind. Electron., October, 2024
IEEE Trans. Cybern., October, 2024
IEEE Trans. Ind. Informatics, September, 2024
IEEE Trans. Pattern Anal. Mach. Intell., September, 2024
Safe Efficient Policy Optimization Algorithm for Unsignalized Intersection Navigation.
IEEE CAA J. Autom. Sinica, September, 2024
Collision-Avoiding Flocking With Multiple Fixed-Wing UAVs in Obstacle-Cluttered Environments: A Task-Specific Curriculum- Based MADRL Approach.
IEEE Trans. Neural Networks Learn. Syst., August, 2024
AMARL: An Attention-Based Multiagent Reinforcement Learning Approach to the Min-Max Multiple Traveling Salesmen Problem.
IEEE Trans. Neural Networks Learn. Syst., July, 2024
Error Constrained-Formation Path-Following Method With Disturbance Elimination for Multisnake Robots.
IEEE Trans. Ind. Electron., May, 2024
Safe Adaptive Dynamic Programming for Multiplayer Systems With Static and Moving No-Entry Regions.
IEEE Trans. Artif. Intell., May, 2024
IEEE Trans. Neural Networks Learn. Syst., April, 2024
GCEN: Multiagent Deep Reinforcement Learning With Grouped Cognitive Feature Representation.
IEEE Trans. Cogn. Dev. Syst., April, 2024
Learning-Based Near-Optimal Motion Planning for Intelligent Vehicles With Uncertain Dynamics.
IEEE Robotics Autom. Lett., February, 2024
A deep Koopman operator-based modelling approach for long-term prediction of dynamics with pixel-level measurements.
CAAI Trans. Intell. Technol., February, 2024
Efficient Incremental Offline Reinforcement Learning With Sparse Broad Critic Approximation.
IEEE Trans. Syst. Man Cybern. Syst., January, 2024
IEEE Trans. Artif. Intell., January, 2024
IEEE CAA J. Autom. Sinica, January, 2024
Vector Field-Guided Learning Predictive Control for Motion Planning of Mobile Robots with Unknown Dynamics.
CoRR, 2024
CAAI Trans. Intell. Technol., 2024
A self-learning human-machine cooperative control method based on driver intention recognition.
CAAI Trans. Intell. Technol., 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
Robust Neural Dynamics Method for Redundant Robot Manipulator Control With Physical Constraints.
IEEE Trans. Ind. Informatics, December, 2023
IEEE Trans. Ind. Informatics, December, 2023
CAAI Trans. Intell. Technol., December, 2023
Position Errors and Interference Prediction-Based Trajectory Tracking for Snake Robots.
IEEE CAA J. Autom. Sinica, September, 2023
A structural developmental neural network with information saturation for continual unsupervised learning.
CAAI Trans. Intell. Technol., September, 2023
Potential field-based dual heuristic programming for path-following and obstacle avoidance of wheeled mobile robots.
Robotica, July, 2023
Efficient reinforcement learning with least-squares soft Bellman residual for robotic grasping.
Robotics Auton. Syst., June, 2023
CSGP: Closed-Loop Safe Grasp Planning via Attention-Based Deep Reinforcement Learning From Demonstrations.
IEEE Robotics Autom. Lett., June, 2023
Kernel-based multiagent reinforcement learning for near-optimal formation control of mobile robots.
Appl. Intell., May, 2023
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023
IEEE Trans. Syst. Man Cybern. Syst., March, 2023
HiVeGPT: Human-Machine-Augmented Intelligent Vehicles With Generative Pre-Trained Transformer.
IEEE Trans. Intell. Veh., March, 2023
IEEE Trans. Intell. Veh., March, 2023
Deep Neural Networks With Koopman Operators for Modeling and Control of Autonomous Vehicles.
IEEE Trans. Intell. Veh., January, 2023
Adaptive Multi-Lane Detection Based on Robust Instance Segmentation for Intelligent Vehicles.
IEEE Trans. Intell. Veh., January, 2023
ATOP: An Attention-to-Optimization Approach for Automatic LiDAR-Camera Calibration via Cross-Modal Object Matching.
IEEE Trans. Intell. Veh., January, 2023
Receding Horizon Actor-Critic Learning Control for Nonlinear Time-Delay Systems With Unknown Dynamics.
IEEE Trans. Syst. Man Cybern. Syst., 2023
Parameter Estimation and Anti-Sideslip Line-of-Sight Method-Based Adaptive Path-Following Controller for a Multijoint Snake Robot.
IEEE Trans. Syst. Man Cybern. Syst., 2023
IEEE Trans. Neural Networks Learn. Syst., 2023
Weakly-Supervised 3D Human Pose Estimation With Cross-View U-Shaped Graph Convolutional Network.
IEEE Trans. Multim., 2023
Uncertainty-Guided Semi-Supervised Few-Shot Class-Incremental Learning With Knowledge Distillation.
IEEE Trans. Multim., 2023
Finite-Time Sideslip Differentiator-Based LOS Guidance for Robust Path Following of Snake Robots.
IEEE CAA J. Autom. Sinica, 2023
CoRR, 2023
Learning Task-preferred Inference Routes for Gradient De-conflict in Multi-output DNNs.
CoRR, 2023
DDK: A Deep Koopman Approach for Longitudinal and Lateral Control of Autonomous Ground Vehicles.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2023
2022
Robust Learning-Based Predictive Control for Discrete-Time Nonlinear Systems With Unknown Dynamics and State Constraints.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Online Sparse Temporal Difference Learning Based on Nested Optimization and Regularized Dual Averaging.
IEEE Trans. Syst. Man Cybern. Syst., 2022
IEEE Trans. Syst. Man Cybern. Syst., 2022
Multi-View Spectral Clustering With High-Order Optimal Neighborhood Laplacian Matrix.
IEEE Trans. Knowl. Data Eng., 2022
Receding-Horizon Reinforcement Learning Approach for Kinodynamic Motion Planning of Autonomous Vehicles.
IEEE Trans. Intell. Veh., 2022
IEEE Trans. Intell. Transp. Syst., 2022
Cross-Modal Cross-Domain Dual Alignment Network for RGB-Infrared Person Re-Identification.
IEEE Trans. Circuits Syst. Video Technol., 2022
SymmetryGrasp: Symmetry-Aware Antipodal Grasp Detection From Single-View RGB-D Images.
IEEE Robotics Autom. Lett., 2022
Sparse online maximum entropy inverse reinforcement learning via proximal optimization and truncated gradient.
Knowl. Based Syst., 2022
Transfer reinforcement learning via meta-knowledge extraction using auto-pruned decision trees.
Knowl. Based Syst., 2022
Synchronous Maneuver Searching and Trajectory Planning for Autonomous Vehicles in Dynamic Traffic Environments.
IEEE Intell. Transp. Syst. Mag., 2022
AdaBoost maximum entropy deep inverse reinforcement learning with truncated gradient.
Inf. Sci., 2022
Integrating human experience in deep reinforcement learning for multi-UAV collision detection and avoidance.
Ind. Robot, 2022
Int. J. Comput. Vis., 2022
Intell. Data Anal., 2022
Sci. China Inf. Sci., 2022
Target-driven visual navigation in indoor scenes using reinforcement learning and imitation learning.
CAAI Trans. Intell. Technol., 2022
Barrier Function-based Safe Reinforcement Learning for Formation Control of Mobile Robots.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
Proceedings of the International Conference on Advanced Robotics and Mechatronics , 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
2021
IEEE Trans. Syst. Man Cybern. Syst., 2021
Multi-Kernel Online Reinforcement Learning for Path Tracking Control of Intelligent Vehicles.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Actor-Critic Learning Control With Regularization and Feature Selection in Policy Gradient Estimation.
IEEE Trans. Neural Networks Learn. Syst., 2021
Dual-branch combination network (DCN): Towards accurate diagnosis and lesion segmentation of COVID-19 using CT images.
Medical Image Anal., 2021
Knowl. Based Syst., 2021
Robust semi-supervised classification based on data augmented online ELMs with deep features.
Knowl. Based Syst., 2021
Multi-target tracking for unmanned aerial vehicle swarms using deep reinforcement learning.
Neurocomputing, 2021
Model-Based Safe Reinforcement Learning with Time-Varying State and Control Constraints: An Application to Intelligent Vehicles.
CoRR, 2021
CoRR, 2021
CKNet: A Convolutional Neural Network Based on Koopman Operator for Modeling Latent Dynamics from Pixels.
CoRR, 2021
Efficient Reinforcement Learning from Demonstration via Bayesian Network-Based Knowledge Extraction.
Comput. Intell. Neurosci., 2021
Sci. China Inf. Sci., 2021
Proceedings of the Intelligent Computing Theories and Application, 2021
Proceedings of the Intelligent Computing Theories and Application, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
An Improved DDPG Algorithm with Barrier Function for Lane-Change Decision-Making of Intelligent Vehicles.
Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021
2020
A Reinforcement Learning Approach to Autonomous Decision Making of Intelligent Vehicles on Highways.
IEEE Trans. Syst. Man Cybern. Syst., 2020
SymmetryNet: learning to predict reflectional and rotational symmetries of 3D shapes from single-view RGB-D images.
ACM Trans. Graph., 2020
IEEE Trans. Knowl. Data Eng., 2020
Distributed Multiagent Coordinated Learning for Autonomous Driving in Highways Based on Dynamic Coordination Graphs.
IEEE Trans. Intell. Transp. Syst., 2020
Inf. Sci., 2020
Deep reinforcement learning for pedestrian collision avoidance and human-machine cooperative driving.
Inf. Sci., 2020
A deep learning framework based on Koopman operator for data-driven modeling of vehicle dynamics.
CoRR, 2020
Hierarchical Reinforcement Learning for Autonomous Decision Making and Motion Planning of Intelligent Vehicles.
IEEE Access, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
A Space Mapping Based 0-1 Linear Model for Onboard Conflict Resolution of Heterogeneous Unmanned Aerial Vehicles.
IEEE Trans. Veh. Technol., 2019
Parameterized Batch Reinforcement Learning for Longitudinal Control of Autonomous Land Vehicles.
IEEE Trans. Syst. Man Cybern. Syst., 2019
Large-scale gesture recognition with a fusion of RGB-D data based on optical flow and the C3D model.
Pattern Recognit. Lett., 2019
Augmenting cascaded correlation filters with spatial-temporal saliency for visual tracking.
Inf. Sci., 2019
An Interaction-Aware predictive motion Planner for Unmanned Ground Vehicles in Dynamic Street Scenarios.
Int. J. Robotics Autom., 2019
CoRR, 2019
CoRR, 2019
Seismic Target Recognition Based on Parallel Recurrent Neural Network for Unattended Ground Sensor Systems.
IEEE Access, 2019
2018
Learning-Based Predictive Control for Discrete-Time Nonlinear Systems With Stochastic Disturbances.
IEEE Trans. Neural Networks Learn. Syst., 2018
Actor-Critic Learning Control Based on ℓ<sub>2</sub>-Regularized Temporal-Difference Prediction With Gradient Correction.
IEEE Trans. Neural Networks Learn. Syst., 2018
Large-Scale Gesture Recognition With a Fusion of RGB-D Data Based on Saliency Theory and C3D Model.
IEEE Trans. Circuits Syst. Video Technol., 2018
A Cross-Layer Optimized Opportunistic Routing Scheme for Loss-and-Delay Sensitive WSNs.
Sensors, 2018
J. Intell. Robotic Syst., 2018
J. Intell. Robotic Syst., 2018
Decentralised grid scheduling approach based on multi-agent reinforcement learning and gossip mechanism.
CAAI Trans. Intell. Technol., 2018
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018
2017
IEEE Trans. Neural Networks Learn. Syst., 2017
Traffic Sign Recognition Using Kernel Extreme Learning Machines With Deep Perceptual Features.
IEEE Trans. Intell. Transp. Syst., 2017
Self-Learning Control Using Dual Heuristic Programming with Global Laplacian Eigenmaps.
IEEE Trans. Ind. Electron., 2017
Int. J. Robotics Autom., 2017
CAAI Trans. Intell. Technol., 2017
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017
2016
IEEE Trans. Fuzzy Syst., 2016
Near-Optimal Tracking Control of Mobile Robots Via Receding-Horizon Dual Heuristic Programming.
IEEE Trans. Cybern., 2016
Int. J. Wavelets Multiresolution Inf. Process., 2016
Multi-agent reinforcement learning using ordinal action selection and approximate policy iteration.
Int. J. Wavelets Multiresolution Inf. Process., 2016
Int. J. Robotics Autom., 2016
Forecasting tourism demand by extracting fuzzy Takagi-Sugeno rules from trained SVMs.
CAAI Trans. Intell. Technol., 2016
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
2015
IEEE Trans. Syst. Man Cybern. Syst., 2015
GrDHP: A General Utility Function Representation for Dual Heuristic Dynamic Programming.
IEEE Trans. Neural Networks Learn. Syst., 2015
A hierarchical path planning approach based on A<sup>⁎</sup> and least-squares policy iteration for mobile robots.
Neurocomputing, 2015
Traffic Sign Recognition Using Deep Convolutional Networks and Extreme Learning Machine.
Proceedings of the Intelligence Science and Big Data Engineering. Image and Video Data Engineering, 2015
Proceedings of the IEEE International Conference on Information and Automation, 2015
2014
A Clustering-Based Graph Laplacian Framework for Value Function Approximation in Reinforcement Learning.
IEEE Trans. Cybern., 2014
Kernel-Based Approximate Dynamic Programming for Real-Time Online Learning Control: An Experimental Study.
IEEE Trans. Control. Syst. Technol., 2014
IEEE Trans. Control. Syst. Technol., 2014
Reinforcement learning algorithms with function approximation: Recent advances and applications.
Inf. Sci., 2014
Reinforcement learning with automatic basis construction based on isometric feature mapping.
Inf. Sci., 2014
Event-triggered reinforcement learning approach for unknown nonlinear continuous-time system.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Self-learning PD algorithms based on approximate dynamic programming for robot motion planning.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
2013
IEEE Trans. Neural Networks Learn. Syst., 2013
IEEE Trans. Neural Networks Learn. Syst., 2013
IEEE Trans. Pattern Anal. Mach. Intell., 2013
A hierarchical reinforcement learning approach for optimal path tracking of wheeled mobile robots.
Neural Comput. Appl., 2013
Adaptive speed tracking control for autonomous land vehicles in all-terrain navigation: An experimental study.
J. Field Robotics, 2013
A Hierarchical Reinforcement Learning-Based Approach to Multi-robot Cooperation for target Searching in unknown Environments.
Control. Intell. Syst., 2013
Kernel-Based Representation Policy Iteration with Applications to Optimal Path Tracking of Wheeled Mobile Robots.
Proceedings of the Intelligence Science and Big Data Engineering, 2013
A Hierarchical Path Planning Approach Based on Reinforcement Learning for Mobile Robots.
Proceedings of the Intelligence Science and Big Data Engineering, 2013
A novel approach for constructing basis functions in approximate dynamic programming for feedback control.
Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2013
Real-time tracking on adaptive critic design with uniformly ultimately bounded condition.
Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2013
A combined hierarchical reinforcement learning based approach for multi-robot cooperative target searching in complex unknown environments.
Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2013
2012
A sparse Gaussian process regression model for tourism demand forecasting in Hong Kong.
Expert Syst. Appl., 2012
Stereo matching using weighted dynamic programming on a single-direction four-connected tree.
Comput. Vis. Image Underst., 2012
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012
Proceedings of 9th IEEE International Conference on Networking, Sensing and Control, 2012
2011
Hierarchical Approximate Policy Iteration With Binary-Tree State Space Decomposition.
IEEE Trans. Neural Networks, 2011
IEEE Trans. Intell. Transp. Syst., 2011
Variational Inference for Infinite Mixtures of Gaussian Processes With Applications to Traffic Flow Prediction.
IEEE Trans. Intell. Transp. Syst., 2011
A Complementary Modularized Ramp Metering Approach Based on Iterative Learning Control and ALINEA.
IEEE Trans. Intell. Transp. Syst., 2011
Continuous-action reinforcement learning with fast policy search and adaptive basis function selection.
Soft Comput., 2011
A novel multi-agent reinforcement learning approach for job scheduling in Grid computing.
Future Gener. Comput. Syst., 2011
Adaptive Kernel-Width Selection for Kernel-Based Least-Squares Policy Iteration Algorithm.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011
Proceedings of the Seventh International Conference on Natural Computation, 2011
Adaptive sample collection using active learning for kernel-based approximate policy iteration.
Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011
2010
Sequential anomaly detection based on temporal-difference learning: Principles, models and case studies.
Appl. Soft Comput., 2010
Adv. Robotics, 2010
Proceedings of the IEEE International Conference on Robotics and Automation, 2010
2009
Support Vector Machines with Manifold Learning and Probabilistic Space Projection for Tourist Expenditure Analysis.
Int. J. Comput. Intell. Syst., 2009
Reinforcement Learning Control of a Real Mobile Robot Using Approximate Policy Iteration.
Proceedings of the Advances in Neural Networks, 2009
Proceedings of the Advances in Neural Networks, 2009
2008
Self-learning path-tracking control of autonomous vehicles using kernel-based approximate dynamic programming.
Proceedings of the International Joint Conference on Neural Networks, 2008
2007
IEEE Trans. Neural Networks, 2007
Classification of Business Travelers Using SVMs Combined with Kernel Principal Component Analysis.
Proceedings of the Advanced Data Mining and Applications, Third International Conference, 2007
2006
Local Stability Analysis of Maximum Nongaussianity Estimation in Independent Component Analysis.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006
2005
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Proceedings of the Advances in Natural Computation, First International Conference, 2005
Proceedings of the Advances in Natural Computation, First International Conference, 2005
2004
Proceedings of the Advances in Neural Networks, 2004
2002
J. Artif. Intell. Res., 2002
Proceedings of the 2002 Congress on Evolutionary Computation, 2002
Residual-gradient-based neural reinforcement learning for the optimal control of an acrobot.
Proceedings of the 2002 IEEE International Symposium on Intelligent Control, 2002