Residual-gradient-based neural reinforcement learning for the optimal control of an acrobot. - Xin Xu 001; Han-Gen He (ISIC, 2002)

Evolutionary adaptive-critic methods for reinforcement learning. - Xin Xu 001; Hangen He; Dewen Hu (IEEE Congress on Evolutionary Computation, 2002)

Efficient Reinforcement Learning Using Recursive Least-Squares Methods. - Xin Xu 001; Hangen He; Dewen Hu (J. Artif. Intell. Res., 2002)

Mobile Robot Path-Tracking Using an Adaptive Critic Learning PD Controller. - Xin Xu 001; Xuening Wang; Dewen Hu (ISNN (2), 2004)

Global Convergence of FastICA: Theoretical Analysis and Practical Considerations. - Gang Wang; Xin Xu 001; Dewen Hu (ICNC (1), 2005)

A Theoretical Model and Convergence Analysis of Memetic Evolutionary Algorithms. - Xin Xu 001; Hangen He (ICNC (2), 2005)

Self-adaptive FastICA Based on Generalized Gaussian Model. - Gang Wang; Xin Xu 001; Dewen Hu (ISNN (1), 2005)

Visual Protractor Based Localization Algorithm for Mobile Robot. - Wei Chen 009; Xuening Wang; Tao Wu 001; Xin Xu 001 (ISDA (3), 2006)

Local Stability Analysis of Maximum Nongaussianity Estimation in Independent Component Analysis. - Gang Wang; Xin Xu 001; Dewen Hu (ISNN (1), 2006)

Classification of Business Travelers Using SVMs Combined with Kernel Principal Component Analysis. - Xin Xu 001; Rob Law 001; Tao Wu 001 (ADMA, 2007)

Kernel-Based Least Squares Policy Iteration for Reinforcement Learning. - Xin Xu 001; Dewen Hu; Xicheng Lu (IEEE Trans. Neural Networks, 2007)

Self-learning path-tracking control of autonomous vehicles using kernel-based approximate dynamic programming. - Xin Xu 001; Hongyu Zhang; Bin Dai 001; Hangen He (IJCNN, 2008)

Reordering Sparsification of Kernel Machines in Approximate Policy Iteration. - Chunming Liu; Jinze Song; Xin Xu 001; Pengcheng Zhang (ISNN (2), 2009)

Reinforcement Learning Control of a Real Mobile Robot Using Approximate Policy Iteration. - Pengcheng Zhang; Xin Xu 001; Chunming Liu; Qiping Yuan (ISNN (3), 2009)

Support Vector Machines with Manifold Learning and Probabilistic Space Projection for Tourist Expenditure Analysis. - Xin Xu 001; Rob Law 001; Tao Wu 001 (Int. J. Comput. Intell. Syst., 2009)

An adaptive roadmap guided Multi-RRTs strategy for single query path planning. - Wei Wang 434; Yan Li; Xin Xu 001; Simon X. Yang (ICRA, 2010)

Triple RRTs: An Effective Method for Path Planning in Narrow Passages. - Wei Wang 434; Xin Xu 001; Yan Li; Jinze Song; Hangen He (Adv. Robotics, 2010)

Sequential anomaly detection based on temporal-difference learning: Principles, models and case studies. - Xin Xu 001 (Appl. Soft Comput., 2010)

Adaptive sample collection using active learning for kernel-based approximate policy iteration. - Chunming Liu; Xin Xu 001; Haiyun Hu; Bin Dai 001 (ADPRL, 2011)

Cooperative multi-agent reinforcement learning based on online heuristic extraction. - Jun Wu; Xin Xu 001; Zhenping Sun; Yan Huang (ICNC, 2011)

Adaptive Dual Heuristic Programming Based on Delta-Bar-Delta Learning Rule. - Jun Wu; Xin Xu 001; Chuanqiang Lian; Yan Huang (ISNN (3), 2011)

Adaptive Kernel-Width Selection for Kernel-Based Least-Squares Policy Iteration Algorithm. - Jun Wu; Xin Xu 001; Lei Zuo 002; Zhaobin Li; Jian Wang 011 (ISNN (2), 2011)

A novel multi-agent reinforcement learning approach for job scheduling in Grid computing. - Jun Wu; Xin Xu 001; Pengcheng Zhang; Chunming Liu (Future Gener. Comput. Syst., 2011)

Continuous-action reinforcement learning with fast policy search and adaptive basis function selection. - Xin Xu 001; Chunming Liu; Dewen Hu (Soft Comput., 2011)

A Complementary Modularized Ramp Metering Approach Based on Iterative Learning Control and ALINEA. - Zhongsheng Hou; Xin Xu 001; Jingwen Yan; Jian-Xin Xu 001; Gang Xiong 001 (IEEE Trans. Intell. Transp. Syst., 2011)

Variational Inference for Infinite Mixtures of Gaussian Processes With Applications to Traffic Flow Prediction. - Shiliang Sun; Xin Xu 001 (IEEE Trans. Intell. Transp. Syst., 2011)

Data-Driven Intelligent Transportation Systems: A Survey. - Junping Zhang; Fei-Yue Wang 001; Kunfeng Wang; Wei-Hua Lin; Xin Xu 001; Cheng Chen (IEEE Trans. Intell. Transp. Syst., 2011)

Incremental Learning From Stream Data. - Haibo He; Sheng Chen 005; Kang Li; Xin Xu 001 (IEEE Trans. Neural Networks, 2011)

Hierarchical Approximate Policy Iteration With Binary-Tree State Space Decomposition. - Xin Xu 001; Chunming Liu; Simon X. Yang; Dewen Hu (IEEE Trans. Neural Networks, 2011)

Fuzzy C-means method for representation policy iteration in reinforcement learning. - Zhenhua Huang 004; Xin Xu 001; Jun Wu; Lei Zuo 002 (ICNSC, 2012)

A Hierarchical Representation Policy Iteration Algorithm for Reinforcement Learning. - Jian Wang 011; Lei Zuo 002; Jian Wang 012; Xin Xu 001; Chun Li (IScIDE, 2012)

A Novel Feature Sparsification Method for Kernel-Based Approximate Policy Iteration. - Zhenhua Huang 004; Chunming Liu; Xin Xu 001; Chuanqiang Lian; Jun Wu (ISNN (1), 2012)

A Rapid Sparsification Method for Kernel Machines in Approximate Policy Iteration. - Chunming Liu; Zhenhua Huang 004; Xin Xu 001; Lei Zuo 002; Jun Wu (ISNN (1), 2012)

Stereo matching using weighted dynamic programming on a single-direction four-connected tree. - Tingbo Hu; Baojun Qi; Tao Wu 001; Xin Xu 001; Hangen He (Comput. Vis. Image Underst., 2012)

A sparse Gaussian process regression model for tourism demand forecasting in Hong Kong. - Qi Wu 003; Rob Law 001; Xin Xu 001 (Expert Syst. Appl., 2012)

A combined hierarchical reinforcement learning based approach for multi-robot cooperative target searching in complex unknown environments. - Yifan Cai; Simon X. Yang; Xin Xu 001 (ADPRL, 2013)

Real-time tracking on adaptive critic design with uniformly ultimately bounded condition. - Zhen Ni; Xiao Fang; Haibo He; Dongbin Zhao; Xin Xu 001 (ADPRL, 2013)

A novel approach for constructing basis functions in approximate dynamic programming for feedback control. - Jian Wang 011; Zhenhua Huang 004; Xin Xu 001 (ADPRL, 2013)

A Hierarchical Path Planning Approach Based on Reinforcement Learning for Mobile Robots. - Qi Guo; Lei Zuo 002; Rui Zheng; Xin Xu 001 (IScIDE, 2013)

Kernel-Based Representation Policy Iteration with Applications to Optimal Path Tracking of Wheeled Mobile Robots. - Zhenhua Huang 004; Xin Xu 001; Lei Ye 010; Lei Zuo 002 (IScIDE, 2013)

A Hierarchical Reinforcement Learning-Based Approach to Multi-robot Cooperation for target Searching in unknown Environments. - Yifan Cai; Simon X. Yang; Xin Xu 001 (Control. Intell. Syst., 2013)

Adaptive speed tracking control for autonomous land vehicles in all-terrain navigation: An experimental study. - Jian Wang 011; Zhenping Sun; Xin Xu 001; Daxue Liu; Jinze Song; Yuqiang Fang (J. Field Robotics, 2013)

A hierarchical reinforcement learning approach for optimal path tracking of wheeled mobile robots. - Lei Zuo 002; Xin Xu 001; Chunming Liu; Zhenhua Huang 004 (Neural Comput. Appl., 2013)

Visual Saliency Based on Scale-Space Analysis in the Frequency Domain. - Jian Li 003; Martin D. Levine; Xiangjing An; Xin Xu 001; Hangen He (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Goal Representation Heuristic Dynamic Programming on Maze Navigation. - Zhen Ni; Haibo He; Jinyu Wen; Xin Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2013)

Online Learning Control Using Adaptive Critic Designs With Sparse Kernel Machines. - Xin Xu 001; Zhongsheng Hou; Chuanqiang Lian; Haibo He (IEEE Trans. Neural Networks Learn. Syst., 2013)

Self-learning PD algorithms based on approximate dynamic programming for robot motion planning. - Huiyuan Yang; Qi Guo; Xin Xu 001; Chuanqiang Lian (IJCNN, 2014)

Event-triggered reinforcement learning approach for unknown nonlinear continuous-time system. - Xiangnan Zhong; Zhen Ni; Haibo He; Xin Xu 001; Dongbin Zhao (IJCNN, 2014)

Reinforcement learning with automatic basis construction based on isometric feature mapping. - Zhenhua Huang 004; Xin Xu 001; Lei Zuo 002 (Inf. Sci., 2014)

Reinforcement learning algorithms with function approximation: Recent advances and applications. - Xin Xu 001; Lei Zuo 002; Zhenhua Huang 004 (Inf. Sci., 2014)

Self-Learning Cruise Control Using Kernel-Based Least Squares Policy Iteration. - Jian Wang 011; Xin Xu 001; Daxue Liu; Zhenping Sun; Qingyang Chen (IEEE Trans. Control. Syst. Technol., 2014)

Kernel-Based Approximate Dynamic Programming for Real-Time Online Learning Control: An Experimental Study. - Xin Xu 001; Chuanqiang Lian; Lei Zuo 002; Haibo He (IEEE Trans. Control. Syst. Technol., 2014)

A Clustering-Based Graph Laplacian Framework for Value Function Approximation in Reinforcement Learning. - Xin Xu 001; Zhenhua Huang 004; Daniel Graves; Witold Pedrycz (IEEE Trans. Cybern., 2014)

Dynamic path planning of a mobile robot with improved Q-learning algorithm. - Siding Li; Xin Xu 001; Lei Zuo 002 (ICIA, 2015)

Traffic Sign Recognition Using Deep Convolutional Networks and Extreme Learning Machine. - Yujun Zeng; Xin Xu 001; Yuqiang Fang; Kun Zhao (IScIDE (1), 2015)

A hierarchical path planning approach based on A⁎ and least-squares policy iteration for mobile robots. - Lei Zuo 002; Qi Guo; Xin Xu 001; Hao Fu 001 (Neurocomputing, 2015)

GrDHP: A General Utility Function Representation for Dual Heuristic Dynamic Programming. - Zhen Ni; Haibo He; Dongbin Zhao; Xin Xu 001; Danil V. Prokhorov (IEEE Trans. Neural Networks Learn. Syst., 2015)

Multiobjective Reinforcement Learning: A Comprehensive Overview. - Chunming Liu; Xin Xu 001; Dewen Hu (IEEE Trans. Syst. Man Cybern. Syst., 2015)

Large-scale gesture recognition with a fusion of RGB-D data based on the C3D model. - Yunan Li 001; Qiguang Miao; Kuan Tian; Yingying Fan; Xin Xu 001; Rui Li; Jianfeng Song (ICPR, 2016)

Forecasting tourism demand by extracting fuzzy Takagi-Sugeno rules from trained SVMs. - Xin Xu 001; Rob Law 001; Wei Chen 055; Lin Tang (CAAI Trans. Intell. Technol., 2016)

Lateral control for Autonomous land Vehicles via Dual Heuristic Programming. - Zhenhua Huang 004; Chuanqiang Lian; Xin Xu 001; Jian Wang 011 (Int. J. Robotics Autom., 2016)

Multi-agent reinforcement learning using ordinal action selection and approximate policy iteration. - Daxue Liu; Jun Wu; Xin Xu 001 (Int. J. Wavelets Multiresolution Inf. Process., 2016)

Multi-class ℓ2-Boost with the scoring coding. - Lei Ye 010; Can Wang 001; Xin Xu 001; Wei Chen 005 (Int. J. Wavelets Multiresolution Inf. Process., 2016)

Near-Optimal Tracking Control of Mobile Robots Via Receding-Horizon Dual Heuristic Programming. - Chuanqiang Lian; Xin Xu 001; Hong Chen 003; Haibo He (IEEE Trans. Cybern., 2016)

Fuzzy-Based Goal Representation Adaptive Dynamic Programming. - Yufei Tang; Haibo He; Zhen Ni; Xiangnan Zhong; Dongbin Zhao; Xin Xu 001 (IEEE Trans. Fuzzy Syst., 2016)

Multimodal Gesture Recognition Based on the ResC3D Network. - Qiguang Miao; Yunan Li 001; Wanli Ouyang; Zhenxin Ma; Xin Xu 001; Weikang Shi; Xiaochun Cao (ICCV Workshops, 2017)

Editorial: Recent advances in intelligent robotic systems. - Xin Xu 001; Yong Liu 007 (CAAI Trans. Intell. Technol., 2017)

Model-Free Multi-Kernel Learning control for nonlinear discrete-Time Systems. - Jiahang Liu; Xin Xu 001; Zhenhua Huang 004; Chuanqiang Lian (Int. J. Robotics Autom., 2017)

Multi-view learning overview: Recent progress and new challenges. - Jing Zhao 015; Xijiong Xie; Xin Xu 001; Shiliang Sun (Inf. Fusion, 2017)

Self-Learning Control Using Dual Heuristic Programming with Global Laplacian Eigenmaps. - Xin Xu 001; Huiyuan Yang; Chuanqiang Lian; Jiahang Liu (IEEE Trans. Ind. Electron., 2017)

Traffic Sign Recognition Using Kernel Extreme Learning Machines With Deep Perceptual Features. - Yujun Zeng; Xin Xu 001; Dayong Shen; Yuqiang Fang; Zhipeng Xiao (IEEE Trans. Intell. Transp. Syst., 2017)

Manifold-Based Reinforcement Learning via Locally Linear Reconstruction. - Xin Xu 001; Zhenhua Huang 004; Lei Zuo 002; Haibo He (IEEE Trans. Neural Networks Learn. Syst., 2017)

Toward Autonomous Driving in Highway and Urban Environment: HQ3 and IVFC 2017. - Lilin Qian; Hao Fu 001; Xiaohui Li 007; Bang Cheng; Tingbo Hu; Zengping Sun; Tao Wu 001; Bin Dai 001; Xin Xu 001; Jin Tang (Intelligent Vehicles Symposium, 2018)

Decentralised grid scheduling approach based on multi-agent reinforcement learning and gossip mechanism. - Jun Wu; Xin Xu 001 (CAAI Trans. Intell. Technol., 2018)

An Efficient Scan-to-Map Matching Approach Based on Multi-channel Lidar. - Hao Fu 001; Rui Yu; Lei Ye 010; Tao Wu 001; Xin Xu 001 (J. Intell. Robotic Syst., 2018)

A Learning-based Multi-RRT Approach for Robot Path Planning in Narrow Passages. - Wei Wang 434; Lei Zuo 002; Xin Xu 001 (J. Intell. Robotic Syst., 2018)

A Cross-Layer Optimized Opportunistic Routing Scheme for Loss-and-Delay Sensitive WSNs. - Xin Xu 001; Minjiao Yuan; Xiao Liu 007; Anfeng Liu; Neal N. Xiong; Zhiping Cai; Tian Wang 001 (Sensors, 2018)

Large-Scale Gesture Recognition With a Fusion of RGB-D Data Based on Saliency Theory and C3D Model. - Yunan Li 001; Qiguang Miao; Kuan Tian; Yingying Fan; Xin Xu 001; Rui Li; Jianfeng Song (IEEE Trans. Circuits Syst. Video Technol., 2018)

Actor-Critic Learning Control Based on ℓ2-Regularized Temporal-Difference Prediction With Gradient Correction. - Luntong Li; Dazi Li; Tianheng Song; Xin Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Learning-Based Predictive Control for Discrete-Time Nonlinear Systems With Stochastic Disturbances. - Xin Xu 001; Hong Chen 003; Chuanqiang Lian; Dazi Li (IEEE Trans. Neural Networks Learn. Syst., 2018)

Seismic Target Recognition Based on Parallel Recurrent Neural Network for Unattended Ground Sensor Systems. - Tonghua Xu; Nan Wang; Xin Xu 001 (IEEE Access, 2019)

A Dual-level Model Predictive Control Scheme for Multi-timescale Dynamical Systems. - Xinglong Zhang; Wei Jiang 006; Zhizhong Li; Xin Xu 001 (CoRR, 2019)

Robust Learning-based Predictive Control for Constrained Nonlinear Systems. - Xinglong Zhang; Jiahang Liu; Xin Xu 001; Hong Chen 003 (CoRR, 2019)

An Interaction-Aware predictive motion Planner for Unmanned Ground Vehicles in Dynamic Street Scenarios. - Junxiang Li; Bin Dai 001; Xiaohui Li 007; Ruili Wang; Xin Xu 001; Bohan Jiang; Yi Di (Int. J. Robotics Autom., 2019)

Augmenting cascaded correlation filters with spatial-temporal saliency for visual tracking. - Dawei Zhao 003; Liang Xiao 007; Hao Fu 001; Tao Wu 001; Xin Xu 001; Bin Dai 001 (Inf. Sci., 2019)

Large-scale gesture recognition with a fusion of RGB-D data based on optical flow and the C3D model. - Yunan Li 001; Qiguang Miao; Kuan Tian; Yingying Fan; Xin Xu 001; Zhenxin Ma; Jianfeng Song (Pattern Recognit. Lett., 2019)

Parameterized Batch Reinforcement Learning for Longitudinal Control of Autonomous Land Vehicles. - Zhenhua Huang 004; Xin Xu 001; Haibo He; Jun Tan; Zhenping Sun (IEEE Trans. Syst. Man Cybern. Syst., 2019)

A Space Mapping Based 0-1 Linear Model for Onboard Conflict Resolution of Heterogeneous Unmanned Aerial Vehicles. - Jian Yang 024; Xin Xu 001; Dong Yin; Zhaowei Ma; Lincheng Shen (IEEE Trans. Veh. Technol., 2019)

Multi-View Deep Attention Network for Reinforcement Learning (Student Abstract). - Yueyue Hu; Shiliang Sun; Xin Xu 001; Jing Zhao 015 (AAAI, 2020)

Hierarchical Reinforcement Learning for Autonomous Decision Making and Motion Planning of Intelligent Vehicles. - Yang Lu; Xin Xu 001; Xinglong Zhang; Lilin Qian; Xing Zhou 004 (IEEE Access, 2020)

Symmetry-Aware 6D Object Pose Estimation via Multitask Learning. - Hongjia Zhang; Junwen Huang; Xin Xu 001; Qiang Fang; Yifei Shi (Complex., 2020)

A deep learning framework based on Koopman operator for data-driven modeling of vehicle dynamics. - Yongqian Xiao; Xinglong Zhang; Xin Xu 001; Xueqing Liu; Jiahang Liu (CoRR, 2020)

Deep reinforcement learning for pedestrian collision avoidance and human-machine cooperative driving. - Junxiang Li; Liang Yao; Xin Xu 001; Bang Cheng; Junkai Ren (Inf. Sci., 2020)

Drosophila-inspired 3D moving object detection based on point clouds. - Li Wang; Dawei Zhao 003; Tao Wu 001; Hao Fu 001; Zhiyu Wang; Liang Xiao 007; Xin Xu 001; Bin Dai 001 (Inf. Sci., 2020)

Attentive multi-view reinforcement learning. - Yueyue Hu; Shiliang Sun; Xin Xu 001; Jing Zhao 015 (Int. J. Mach. Learn. Cybern., 2020)

Distributed Multiagent Coordinated Learning for Autonomous Driving in Highways Based on Dynamic Coordination Graphs. - Chao Yu 004; Xin Wang 077; Xin Xu 001; Minjie Zhang; Hongwei Ge; Jiankang Ren; Liang Sun 003; Bingcai Chen; Guozhen Tan (IEEE Trans. Intell. Transp. Syst., 2020)

Adaptive Self-Paced Deep Clustering with Data Augmentation. - Xifeng Guo 001; Xinwang Liu 002; En Zhu; Xinzhong Zhu; Miaomiao Li 001; Xin Xu 001; Jianping Yin (IEEE Trans. Knowl. Data Eng., 2020)

SymmetryNet: learning to predict reflectional and rotational symmetries of 3D shapes from single-view RGB-D images. - Yifei Shi; Junwen Huang; Hongjia Zhang; Xin Xu 001; Szymon Rusinkiewicz; Kai Xu 004 (ACM Trans. Graph., 2020)

A Reinforcement Learning Approach to Autonomous Decision Making of Intelligent Vehicles on Highways. - Xin Xu 001; Lei Zuo 002; Xin Li; Lilin Qian; Junkai Ren; Zhenping Sun (IEEE Trans. Syst. Man Cybern. Syst., 2020)

An Improved DDPG Algorithm with Barrier Function for Lane-Change Decision-Making of Intelligent Vehicles. - Tianshuo Feng; Xin Xu 001; Xiaochuan Zhang; Xinglong Zhang (CICAI (2), 2021)

StablePose: Learning 6D Object Poses From Geometrically Stable Patches. - Yifei Shi; Junwen Huang; Xin Xu 001; Yifan Zhang; Kai Xu 004 (CVPR, 2021)

Accelerating Deep Reinforcement Learning via Hierarchical State Encoding with ELMs. - Tao Tang; Qiang Fang; Xin Xu 001; Yujun Zeng (ICIC (2), 2021)

Deep Q-learning with Explainable and Transferable Domain Rules. - Yichuan Zhang; Junkai Ren; Junxiang Li; Qiang Fang; Xin Xu 001 (ICIC (2), 2021)

Event-triggered shared lateral control for safe-maneuver of intelligent vehicles. - Yan Jiang; Xinglong Zhang; Xin Xu 001; Xing Zhou 004; Zhengzheng Dong (Sci. China Inf. Sci., 2021)

Efficient Reinforcement Learning from Demonstration via Bayesian Network-Based Knowledge Extraction. - Yichuan Zhang; Yixing Lan; Qiang Fang; Xin Xu 001; Junxiang Li; Yujun Zeng (Comput. Intell. Neurosci., 2021)

CKNet: A Convolutional Neural Network Based on Koopman Operator for Modeling Latent Dynamics from Pixels. - Yongqian Xiao; Xin Xu 001; Qianli Lin (CoRR, 2021)

Robust Tube-based Model Predictive Control with Koopman Operators-Extended Version. - Xinglong Zhang; Wei Pan 004; Riccardo Scattolini; Shuyou Yu 001; Xin Xu 001 (CoRR, 2021)

Model-Based Safe Reinforcement Learning with Time-Varying State and Control Constraints: An Application to Intelligent Vehicles. - Xinglong Zhang; Yaoqian Peng; Biao Luo 001; Wei Pan 004; Xin Xu 001; Haibin Xie (CoRR, 2021)

Multi-target tracking for unmanned aerial vehicle swarms using deep reinforcement learning. - Wenhong Zhou; Zhihong Liu; Jie Li; Xin Xu 001; Lincheng Shen (Neurocomputing, 2021)

Robust semi-supervised classification based on data augmented online ELMs with deep features. - Xiaochang Hu; Yujun Zeng; Xin Xu 001; Sihang Zhou 001; Li Liu 002 (Knowl. Based Syst., 2021)

Label Disentangled Analysis for unsupervised visual domain adaptation. - Ni Xiao; Lei Zhang 038; Xin Xu 001; Tan Guo; Huimin Ma 001 (Knowl. Based Syst., 2021)

Dual-branch combination network (DCN): Towards accurate diagnosis and lesion segmentation of COVID-19 using CT images. - Kai Gao 011; Jianpo Su; Zhongbiao Jiang; Ling-Li Zeng; Zhichao Feng; Hui Shen 004; Pengfei Rong; Xin Xu 001; Jian Qin; Yuexiang Yang; Wei Wang 434; Dewen Hu (Medical Image Anal., 2021)

Actor-Critic Learning Control With Regularization and Feature Selection in Policy Gradient Estimation. - Luntong Li; Dazi Li; Tianheng Song; Xin Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Multi-Kernel Online Reinforcement Learning for Path Tracking Control of Intelligent Vehicles. - Jiahang Liu; Zhenhua Huang 004; Xin Xu 001; Xinglong Zhang; Shiliang Sun; Dazi Li (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Efficient Batch-Mode Reinforcement Learning Using Extreme Learning Machines. - Jiahang Liu; Lei Zuo 002; Xin Xu 001; Xinglong Zhang; Junkai Ren; Qiang Fang; Xinwang Liu 002 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Meta-GF: Training Dynamic-Depth Neural Networks Harmoniously. - Yi Sun; Jian Li 003; Xin Xu 001 (ECCV (11), 2022)

A Two-layer MPC Approach for Consistent Planning and Control of Autonomous Vehicles. - Yang Lu; Xinglong Zhang; Xin Xu 001; Wenzhuo Zhang (ICARM, 2022)

Barrier Function-based Safe Reinforcement Learning for Formation Control of Mobile Robots. - Xinglong Zhang; Yaoqian Peng; Wei Pan 004; Xin Xu 001; Haibin Xie (ICRA, 2022)

Robust tube-based model predictive control with Koopman operators. - Xinglong Zhang; Wei Pan 004; Riccardo Scattolini; Shuyou Yu 001; Xin Xu 001 (Autom., 2022)

Target-driven visual navigation in indoor scenes using reinforcement learning and imitation learning. - Qiang Fang; Xin Xu 001; Xitong Wang; Yujun Zeng (CAAI Trans. Intell. Technol., 2022)

Learning practically feasible policies for online 3D bin packing. - Hang Zhao; Chenyang Zhu 002; Xin Xu 001; Hui Huang 004; Kai Xu 004 (Sci. China Inf. Sci., 2022)

Extended clustering algorithm based on cluster shape boundary. - Peng Li; Haibin Xie; Yifei Shi; Xin Xu 001 (Intell. Data Anal., 2022)

Facial Kinship Verification: A Comprehensive Review and Outlook. - Xiaoting Wu; Xiaoyi Feng; Xiaochun Cao; Xin Xu 001; Dewen Hu; Miguel Bordallo López; Li Liu 002 (Int. J. Comput. Vis., 2022)

Integrating human experience in deep reinforcement learning for multi-UAV collision detection and avoidance. - Guanzheng Wang; Yinbo Xu; Zhihong Liu; Xin Xu 001; Xiangke Wang; Jiarun Yan (Ind. Robot, 2022)

AdaBoost maximum entropy deep inverse reinforcement learning with truncated gradient. - Li Song 003; Dazi Li; Xiao Wang 002; Xin Xu 001 (Inf. Sci., 2022)

Synchronous Maneuver Searching and Trajectory Planning for Autonomous Vehicles in Dynamic Traffic Environments. - Lilin Qian; Xin Xu 001; Yujun Zeng; Xiaohui Li 007; Zhenping Sun; Hang Song (IEEE Intell. Transp. Syst. Mag., 2022)

Transfer reinforcement learning via meta-knowledge extraction using auto-pruned decision trees. - Yixing Lan; Xin Xu 001; Qiang Fang; Yujun Zeng; Xinwang Liu 002; Xianjian Zhang (Knowl. Based Syst., 2022)

Sparse online maximum entropy inverse reinforcement learning via proximal optimization and truncated gradient. - Li Song 003; Dazi Li; Xin Xu 001 (Knowl. Based Syst., 2022)

SymmetryGrasp: Symmetry-Aware Antipodal Grasp Detection From Single-View RGB-D Images. - Yifei Shi; Zixin Tang; Xiangting Cai; Hongjia Zhang; Dewen Hu; Xin Xu 001 (IEEE Robotics Autom. Lett., 2022)

Cross-Modal Cross-Domain Dual Alignment Network for RGB-Infrared Person Re-Identification. - Xiaowei Fu; Fuxiang Huang; Yuhang Zhou; Huimin Ma 001; Xin Xu 001; Lei Zhang 038 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Inferring Cognitive State of Pilot's Brain Under Different Maneuvers During Flight. - Edmond Qi Wu; Zhengtao Cao; Zhao-Hui Sun; Dongfang Li 001; Rob Law 001; Xin Xu 001; Li-Min Zhu 001; Mengsun Yu (IEEE Trans. Intell. Transp. Syst., 2022)

Receding-Horizon Reinforcement Learning Approach for Kinodynamic Motion Planning of Autonomous Vehicles. - Xinglong Zhang; Yan Jiang; Yang Lu; Xin Xu 001 (IEEE Trans. Intell. Veh., 2022)

Multi-View Spectral Clustering With High-Order Optimal Neighborhood Laplacian Matrix. - Weixuan Liang; Sihang Zhou 001; Jian Xiong 002; Xinwang Liu 002; Siwei Wang 001; En Zhu; Zhiping Cai; Xin Xu 001 (IEEE Trans. Knowl. Data Eng., 2022)

Coordinated Path-Following Control of Fixed-Wing Unmanned Aerial Vehicles. - Hao Chen 044; Yirui Cong; Xiangke Wang; Xin Xu 001; Lincheng Shen (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Online Sparse Temporal Difference Learning Based on Nested Optimization and Regularized Dual Averaging. - Tianheng Song; Dazi Li; Xin Xu 001 (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Robust Learning-Based Predictive Control for Discrete-Time Nonlinear Systems With Unknown Dynamics and State Constraints. - Xinglong Zhang; Jiahang Liu; Xin Xu 001; Shuyou Yu 001; Hong Chen 003 (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Optimizing Selection and Positioning of Single-Stage Rotor Blades. - Xin Xu 001; Zhen Yang 013; Jun Wu; Feng Chu 001 (ICNSC, 2023)

DDK: A Deep Koopman Approach for Longitudinal and Lateral Control of Autonomous Ground Vehicles. - Yongqian Xiao; Xinglong Zhang; Xin Xu 001; Yang Lu; Junxiang Li (ICRA, 2023)

Learning Task-preferred Inference Routes for Gradient De-conflict in Multi-output DNNs. - Yi Sun; Xin Xu 001; Jian Li 003; Xiaochang Hu; Yifei Shi; Ling-Li Zeng (CoRR, 2023)

Adaptive Dense Pseudo Label Selection for Semi-supervised Oriented Object Detection. - Tong Zhao; Qiang Fang; Shuohao Shi; Xin Xu 001 (CoRR, 2023)

Finite-Time Sideslip Differentiator-Based LOS Guidance for Robust Path Following of Snake Robots. - Yang Xiu; Hongbin Deng; Dongfang Li 001; Miaomiao Zhang 001; Rob Law 001; Yun Huang; Edmond Qi Wu; Xin Xu 001 (IEEE CAA J. Autom. Sinica, 2023)

Uncertainty-Guided Semi-Supervised Few-Shot Class-Incremental Learning With Knowledge Distillation. - Yawen Cui; Wanxia Deng; Xin Xu 001; Zhen Liu 004; Zhong Liu 002; Matti Pietikäinen; Li Liu 002 (IEEE Trans. Multim., 2023)

Weakly-Supervised 3D Human Pose Estimation With Cross-View U-Shaped Graph Convolutional Network. - Guoliang Hua; Hong Liu 008; Wenhao Li 002; Qian Zhang; Runwei Ding; Xin Xu 001 (IEEE Trans. Multim., 2023)

Multiple Kernel Clustering With Compressed Subspace Alignment. - Sihang Zhou 001; Qiyuan Ou; Xinwang Liu 002; Siqi Wang 001; Luyan Liu; Siwei Wang 001; En Zhu; Jianping Yin; Xin Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Parameter Estimation and Anti-Sideslip Line-of-Sight Method-Based Adaptive Path-Following Controller for a Multijoint Snake Robot. - Dongfang Li 001; Binxin Zhang; Ping Li 044; Edmond Qi Wu; Rob Law 001; Xin Xu 001; Aiguo Song; Li-Min Zhu 001 (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Receding Horizon Actor-Critic Learning Control for Nonlinear Time-Delay Systems With Unknown Dynamics. - Jiahang Liu; Xinglong Zhang; Xin Xu 001; Quan Xiong (IEEE Trans. Syst. Man Cybern. Syst., 2023)

ATOP: An Attention-to-Optimization Approach for Automatic LiDAR-Camera Calibration via Cross-Modal Object Matching. - Yi Sun; Jian Li 003; Yuru Wang; Xin Xu 001; Xiaohui Yang; Zhenping Sun (IEEE Trans. Intell. Veh., 2023)

Adaptive Multi-Lane Detection Based on Robust Instance Segmentation for Intelligent Vehicles. - Yi Sun; Jian Li 003; Xin Xu 001; Yifei Shi (IEEE Trans. Intell. Veh., 2023)

Deep Neural Networks With Koopman Operators for Modeling and Control of Autonomous Vehicles. - Yongqian Xiao; Xinglong Zhang; Xin Xu 001; Xueqing Liu; Jiahang Liu (IEEE Trans. Intell. Veh., 2023)

Spherical-Orthogonal-Symmetric Haar Wavelet for Driver's Visual Detection. - Yuhong Hou; Edmond Qi Wu; Zhengtao Cao; Xin Xu 001; Li-Min Zhu 001; Mengsun Yu (IEEE Trans. Intell. Veh., 2023)

HiVeGPT: Human-Machine-Augmented Intelligent Vehicles With Generative Pre-Trained Transformer. - Junping Zhang; Jian Pu; Jianru Xue; Ming Yang 002; Xin Xu 001; Xiao Wang 002; Fei-Yue Wang 001 (IEEE Trans. Intell. Veh., 2023)

A Dual-Level Model Predictive Control Scheme for Multitimescale Dynamical Systems. - Xinglong Zhang; Wei Jiang 006; Shuyou Yu 001; Xin Xu 001; Zhizhong Li (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Learning to Detect 3D Symmetry From Single-View RGB-D Images With Weak Supervision. - Yifei Shi; Xin Xu 001; Junhua Xi; Xiaochang Hu; Dewen Hu; Kai Xu 004 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Kernel-based multiagent reinforcement learning for near-optimal formation control of mobile robots. - Ronghua Zhang; Xin Xu 001; Xinglong Zhang; Quan Xiong; Qingwen Ma; Yaoqian Peng (Appl. Intell., 2023)

CSGP: Closed-Loop Safe Grasp Planning via Attention-Based Deep Reinforcement Learning From Demonstrations. - Zixin Tang; Yifei Shi; Xin Xu 001 (IEEE Robotics Autom. Lett., 2023)

Efficient reinforcement learning with least-squares soft Bellman residual for robotic grasping. - Yixing Lan; Junkai Ren; Tao Tang; Xin Xu 001; Yifei Shi; Zixin Tang (Robotics Auton. Syst., 2023)

Potential field-based dual heuristic programming for path-following and obstacle avoidance of wheeled mobile robots. - Yaoqian Peng; Xinglong Zhang; Haibin Xie; Xin Xu 001 (Robotica, 2023)

A structural developmental neural network with information saturation for continual unsupervised learning. - Zhiyong Ding; Haibin Xie; Peng Li; Xin Xu 001 (CAAI Trans. Intell. Technol., 2023)

Position Errors and Interference Prediction-Based Trajectory Tracking for Snake Robots. - Dongfang Li 001; Yilong Zhang; Ping Li 044; Rob Law 001; Zhengrong Xiang; Xin Xu 001; Limin Zhu 001; Edmond Qi Wu (IEEE CAA J. Autom. Sinica, 2023)

Deeply-Recursive Attention Network for video steganography. - Jiabao Cui; Liangli Zheng; Yunlong Yu; Yining Lin; Huajian Ni; Xin Xu 001; Zhongfei Zhang (CAAI Trans. Intell. Technol., 2023)

Anti-Disturbance Path-Following Control for Snake Robots With Spiral Motion. - Dongfang Li 001; Yilong Zhang; Wei Tong 002; Ping Li 044; Rob Law 001; Xin Xu 001; Limin Zhu 001; Edmond Qi Wu (IEEE Trans. Ind. Informatics, 2023)

Robust Neural Dynamics Method for Redundant Robot Manipulator Control With Physical Constraints. - Miaomiao Zhang 001; Wei Tong 002; Ping Li 044; Yuhong Hou; Xin Xu 001; Limin Zhu 001; Edmond Qi Wu (IEEE Trans. Ind. Informatics, 2023)

Density-Guided Dense Pseudo Label Selection for Semi-Supervised Oriented Object Detection. - Tong Zhao; Qiang Fang; Shuohao Shi; Xin Xu 001 (ICIP, 2024)

Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning. - Tenglong Liu; Yang Li 116; Yixing Lan; Hao Gao 014; Wei Pan 004; Xin Xu 001 (ICML, 2024)

HDKI: A Hierarchical Deep Koopman Framework for Spatio-Temporal Prediction with Image Observations. - Yuxuan He; Haibin Xie; Junheng Liu; Wei Jiang 006; Xinglong Zhang; Xin Xu 001 (ICONIP (7), 2024)

M3-GMN: A Multi-environment, Multi-LiDAR, Multi-task dataset for Grid Map based Navigation. - Guanglei Xie; Hao Fu 001; Hanzhang Xue; Bokai Liu; Xin Xu 001; Xiaohui Li 007; Zhenping Sun (IROS, 2024)

A self-learning human-machine cooperative control method based on driver intention recognition. - Yan Jiang; Yuyan Ding; Xinglong Zhang; Xin Xu 001; Junwen Huang (CAAI Trans. Intell. Technol., 2024)

Deep reinforcement learning using least-squares truncated temporal-difference. - Junkai Ren; Yixing Lan; Xin Xu 001; Yichuan Zhang; Qiang Fang; Yujun Zeng (CAAI Trans. Intell. Technol., 2024)

Vector Field-Guided Learning Predictive Control for Motion Planning of Mobile Robots with Unknown Dynamics. - Yang Lu; Weijia Yao; Yongqian Xiao; Xin Xu 001 (CoRR, 2024)

Similarity Distance-Based Label Assignment for Tiny Object Detection. - Shuohao Shi; Qiang Fang; Tong Zhao; Xin Xu 001 (CoRR, 2024)

Learning to Branch in Combinatorial Optimization with Graph Pointer Networks. - Rui Wang 017; Zhiming Zhou; Kaiwen Li; Tao Zhang 033; Ling Wang 001; Xin Xu 001; Xiangke Liao (IEEE CAA J. Autom. Sinica, 2024)

Patch-Mixing Contrastive Regularization for Few-Label Semi-Supervised Learning. - Xiaochang Hu; Xin Xu 001; Yujun Zeng; Xihong Yang (IEEE Trans. Artif. Intell., 2024)

Efficient Incremental Offline Reinforcement Learning With Sparse Broad Critic Approximation. - Liang Yao; Baoliang Zhao; Xin Xu 001; Ziwen Wang 002; Pak-Kin Wong 001; Ying Hu 001 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

A deep Koopman operator-based modelling approach for long-term prediction of dynamics with pixel-level measurements. - Yongqian Xiao; Zixin Tang; Xin Xu 001; Xinglong Zhang; Yifei Shi (CAAI Trans. Intell. Technol., 2024)

Learning-Based Near-Optimal Motion Planning for Intelligent Vehicles With Uncertain Dynamics. - Yang Lu; Xinglong Zhang; Xin Xu 001; Weijia Yao (IEEE Robotics Autom. Lett., 2024)

GCEN: Multiagent Deep Reinforcement Learning With Grouped Cognitive Feature Representation. - Hao Gao 014; Xin Xu 001; Chao Yan; Yixing Lan; Kangxing Yao (IEEE Trans. Cogn. Dev. Syst., 2024)

Deep Reinforcement Learning: A Survey. - Xu Wang 043; Sen Wang; Xingxing Liang; Dawei Zhao 003; Jincai Huang 001; Xin Xu 001; Bin Dai 001; Qiguang Miao (IEEE Trans. Neural Networks Learn. Syst., 2024)

Safe Adaptive Dynamic Programming for Multiplayer Systems With Static and Moving No-Entry Regions. - Chaoxu Mu; Ke Wang 037; Xin Xu 001; Changyin Sun 001 (IEEE Trans. Artif. Intell., 2024)

Error Constrained-Formation Path-Following Method With Disturbance Elimination for Multisnake Robots. - Dongfang Li 001; Binxin Zhang; Rob Law 001; Edmond Qi Wu; Xin Xu 001 (IEEE Trans. Ind. Electron., 2024)

AMARL: An Attention-Based Multiagent Reinforcement Learning Approach to the Min-Max Multiple Traveling Salesmen Problem. - Hao Gao 014; Xing Zhou 004; Xin Xu 001; Yixing Lan; Yongqian Xiao (IEEE Trans. Neural Networks Learn. Syst., 2024)

Collision-Avoiding Flocking With Multiple Fixed-Wing UAVs in Obstacle-Cluttered Environments: A Task-Specific Curriculum- Based MADRL Approach. - Chao Yan; Chang Wang 005; Xiaojia Xiang; Kin Huat Low; Xiangke Wang; Xin Xu 001; Lincheng Shen (IEEE Trans. Neural Networks Learn. Syst., 2024)

Safe Efficient Policy Optimization Algorithm for Unsignalized Intersection Navigation. - Xiaolong Chen; Biao Xu; Manjiang Hu; Yougang Bian; Yang Li 093; Xin Xu 001 (IEEE CAA J. Autom. Sinica, 2024)

Deep Learning for Visual Speech Analysis: A Survey. - Changchong Sheng; Gangyao Kuang; Liang Bai; Chenping Hou; Yulan Guo; Xin Xu 001; Matti Pietikäinen; Li Liu 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Robust Depth Estimation Based on Parallax Attention for Aerial Scene Perception. - Wei Tong 002; Miaomiao Zhang 001; GuangYu Zhu 001; Xin Xu 001; Edmond Qi Wu (IEEE Trans. Ind. Informatics, 2024)

Efficient Reinforcement Learning With the Novel N-Step Method and V-Network. - Miaomiao Zhang 001; Shuo Zhang 023; Xinying Wu; Zhiyi Shi; Xiangyang Deng; Edmond Qi Wu; Xin Xu 001 (IEEE Trans. Cybern., 2024)

Model-Based Safe Reinforcement Learning With Time-Varying Constraints: Applications to Intelligent Vehicles. - Xinglong Zhang; Yaoqian Peng; Biao Luo 001; Wei Pan 004; Xin Xu 001; Haibin Xie (IEEE Trans. Ind. Electron., 2024)

Game-Theoretic Receding-Horizon Reinforcement Learning for Lateral Control of Autonomous Vehicles. - Qingwen Ma; Xin Yin; Xinglong Zhang; Xin Xu 001; Xinxin Yao (IEEE Trans. Veh. Technol., 2024)

Solving Orienteering Problems by Hybridizing Evolutionary Algorithm and Deep Reinforcement Learning. - Rui Wang 017; Wei Liu 151; Kaiwen Li; Tao Zhang 033; Ling Wang 001; Xin Xu 001 (IEEE Trans. Artif. Intell., 2024)

Sample Efficient Deep Reinforcement Learning With Online State Abstraction and Causal Transformer Model Prediction. - Yixing Lan; Xin Xu 001; Qiang Fang; Jianye Hao (IEEE Trans. Neural Networks Learn. Syst., 2024)

SQIX: QMIX Algorithm Activated by General Softmax Operator for Cooperative Multiagent Reinforcement Learning. - Miaomiao Zhang 001; Wei Tong 002; Guangyu Zhu 001; Xin Xu 001; Edmond Qi Wu (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Adaptive generative adversarial maximum entropy inverse reinforcement learning. - Li Song 003; Dazi Li; Xin Xu 001 (Inf. Sci., 2025)

Multiscale Gaussian Attention Mechanism for Tiny-Object Detection in Remote Sensing Images. - Shuohao Shi; Qiang Fang; Xin Xu 001; Dezun Dong (IEEE Trans. Geosci. Remote. Sens., 2025)

Toward Scalable Multirobot Control: Fast Policy Learning in Distributed MPC. - Xinglong Zhang; Wei Pan 004; Cong Li; Xin Xu 001; Xiangke Wang; Ronghua Zhang; Dewen Hu (IEEE Trans. Robotics, 2025)

Interference Suppression and Jitter Elimination Ability-Based Adaption Tracking Guidance for Robotic Fishes. - Dongfang Li 001; Jie Huang 007; Rob Law 001; Xin Xu 001; Limin Zhu 001; Edmond Qi Wu (IEEE CAA J. Autom. Sinica, 2025)

Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey. - Zhihong Liu; Xin Xu 001; Peng Qiao; Dongsheng Li 001 (ACM Comput. Surv., 2025)

Receding-Horizon Reinforcement Learning for Time-Delayed Human-Machine Shared Control of Intelligent Vehicles. - Xinxin Yao; Jiahang Liu; Xinglong Zhang; Xin Xu 001 (IEEE Trans. Hum. Mach. Syst., 2025)

Improved Dual Correlation Reduction Network With Affinity Recovery. - Yue Liu 008; Sihang Zhou 001; Xihong Yang; Xinwang Liu 002; Wenxuan Tu; Liang Li; Xin Xu 001; Fuchun Sun 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Versatile Distributed Maneuvering with Generalized Formations using Guiding Vector Fields. - Yang Lu; Sha Luo; Pengming Zhu; Weijia Yao; Héctor García de Marina; Xinglong Zhang; Xin Xu 001 (CoRR, 2025)

Denser Teacher: Rethinking Dense Pseudo-Label for Semi-Supervised Oriented Object Detection. - Tong Zhao; Qiang Fang; Xin Xu 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

SMART: Sequential Multiagent Reinforcement Learning With Role Assignment Using Transformer. - Yixing Lan; Hao Gao 014; Xin Xu 001; Qiang Fang; Yujun Zeng (IEEE Trans. Cogn. Dev. Syst., 2025)

How to Enhance the Interpretability of Learning-Based Motion Planning for Intelligent Vehicles - A Survey. - Junxiang Li; Tao Wu 001; Huijing Zhao; Xin Xu 001 (IEEE Trans. Intell. Transp. Syst., 2025)