Xin Xu, Zhongsheng Hou, Chuanqiang Lian and Haibo He. Online Learning Control Using Adaptive Critic Designs with Sparse Kernel Machines, IEEE Transactions on Neural Networks and Learning Systems, 2013, 24(5):762 -775. (regular paper)
Xin Xu, et al. Kernel-based Approximate Dynamic Programming for Real-time Online Learning Control: An Experimental Study. IEEE Transactions on Control System Technology, 2014, 22(1): 146-156, (regular paper)
Xin Xu, Zhenhua Huang, Daniel Graves, Witold Pedrycz, A Clustering-based Graph Laplacian Framework for Value Function Approximation in Reinforcement Learning. IEEE Transactions on Cybernetics, 2014, 44(12):2613-2625 .
Xin Xu, et al. Manifold Reinforcement Learning via Locally Linear Reconstruction. IEEE Transactions on Neural Networks and Learning Systems, 2017, 28(4): 934 - 947.
Xin Xu, et al. Self-Learning Control using Dual Heuristic Programming with Global Laplacian Eigenmaps. IEEE Transactions on Industrial Electronics, 2017, minor revision.
Xin Xu, Zhenhua Huang, Lei Zuo. Reinforcement Learning Algorithms with Function Approximation: Recent Advances and Applications. Information Sciences, 2014, 261:1-31.
Tianjiang Hu, K. H. Low, Lincheng Shen, and Xin Xu. Effective Phase Tracking for Bioinspired Undulations of Robotic Fish Models: A Learning Control Approach. IEEE Transactions on Mechatronics, 2014, 19(1): 191-200. (regular paper)
Zhen Ni, Haibo He, Jinyu Wen, and Xin Xu, Goal Representation Heuristic Dynamic Programming on Maze Navigation. IEEE Transactions on Neural Networks and Learning Systems, 2013, 24(12): 2038-2050 (regular paper)
Jian Wang, Xin Xu, et al. Self-learning Cruise Control Using Kernel-Based Least Squares Policy Iteration. IEEE Transactions on Control System Technology, 2014, 22(3): 1078-1087.
J. Zhao, X. Xie, X. Xu, S. Sun. Multi-view learning overview: Recent progress and new challenges. Information Fusion, 2017, in press.
Chunming Liu, Xin Xu, Dewen Hu: Multiobjective Reinforcement Learning: A Comprehensive Overview. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2015, 45(3): 385-398.
Z. Ni, H. He, D. Zhao, X. Xu, and D. Prokhorov, GrDHP: A General Utility Function Representation for Dual Heuristic Dynamic Programming,IEEE Transactions on Neural Networks and Learning Systems, 2015, vol. 26, issue 3, pp. 614-627, 2015.
C. Lian, Xin Xu, H. Chen, and H. He, "Near-optimal Tracking Control of Mobile Robots via Receding-horizon Dual Heuristic Programming," IEEE Transactions on Cybernetics, 2016, 46(11): 2484-2496
Tingbo Hu, Tao Wu, Xin Xu, et al. Stereo Matching using Weighted Dynamic Programming on a Single-Direction Four-Connected Tree. Computer Vision and Image Understanding. 2012, 116(8): 908-921 (regular paper)
Jian Wang, Zhenping Sun, Xin Xu, et al. Adaptive Speed Tracking Control for Autonomous Land Vehicles in All-Terrain Navigation: An Experimental Study. Journal of Field Robotics, 2013, 30(1): 102-128. (regular paper)
Zhenhua Huang, Xin Xu, et al. Reinforcement Learning with Automatic Basis Construction Based on Isometric Feature Mapping. Information Sciences, 2014, 286: 209-227.
Xin Xu, Cong Wang, Frank L. Lewis. Editorial: Some Recent Advances in Learning and Adaptation for Uncertain Feedback Control Systems. International Journal of Adaptive Control and Signal Processing, 2014, 28(3-5): 201-204.
Zhenhua Huang, Chuanqiang Lian, Xin Xu, Jian Wang: Lateral control for Autonomous land Vehicles via Dual Heuristic Programming. I. J. Robotics and Automation 31(6) (2016)
Daxue Liu, Jun Wu, Xin Xu: Multi-agent reinforcement learning using ordinal action selection and approximate policy iteration. InternationalJournal of Wavelets, Multiresolution and Information Processing 14(6): 1-18 (2016)
Lei Ye, Can Wang, Xin Xu, Wei Chen: Multi-class l2-Boost with the scoring coding. InternationalJournal of Wavelets, Multiresolution and Information Processing, 14(6): 1-16 (2016)
Lei Zuo, Qi Guo, Xin Xu, Hao Fu. A hierarchical path planning approach based on A* and least-squares policy iteration for mobile robots. Neurocomputing, 2015, 170: 257-266.
Lei Zuo, Xin Xu, Chunming Liu , Zhenhua Huang, A hierarchical reinforcement learning approach for optimal path-tracking of wheeled mobile robots. Neural Computing and Applications, 2013, in press.
Chuanqiang Lian, Xin Xu, Lei Zuo and Zhenhua Huang, Adaptive critic design with graph Laplacian for online learning control of nonlinear systems. International Journal of Adaptive Control and Signal Processing, 2014, 28(3-5): 290-304.
Xin Xu. Intrusion detection based on dynamic behavior modeling: reinforcement learning versus Hidden Markov Models. International Journal of Computational Intelligence Theory and Practice, 2007, 2(1): 57-66
Xin Liu, Xin Xu, Bin Dai. Vision-based long-distance lane perception and front vehicle location for full autonomous vehicles on highway roads. Journal of Central South University, 2012,Volume 19, Issue 5, pp 1454-1465.
Xin Xu, Haibo He, Dongbin Zhao, Shiliang Sun, Lucian Busoniu, and Simon X. Yang. Editorial: Machine Learning with Applications to Autonomous Systems. Mathematical Problems in Engineering, Volume 2015 (2015), Article ID 385028, 2 pages
Gang wang, Xin Xu, Dewen Hu, et al. Uniqueness of maximum non-Gaussianity estimation: a revisit from the perspective of contrained cost-function optimization. International Journal of Intelligent Computing and Applications, 2008, 1(1):53-69.
Selected Conference Papers
Zhenhua Huang, Xin Xu, Jun Wu, Lei Zuo: Fuzzy C-means method for representation policy iteration in reinforcement learning. ICNSC 2012: 175-180
Xin Xu, Peng Chengzhang, Bin Dai, Han-gen He. A Kernel-based Reinforcement Learning Approach to Stochastic Pole Balancing Control Systems, IEEE/ASME International Conference on Advanced Intelligent Mechatronics , 2010,
Yujun Zeng, Xin Xu, Yuqiang Fang, Kun Zhao: Traffic Sign Recognition Using Deep Convolutional Networks and Extreme Learning Machine. IScIDE (1) 2015: 272-280
Jun Wu, Xin Xu , Zhaobin Li, Yan Huang, and Jian Wang, Adaptive kernel-width selection for kernel-based least-squares policy ieration algorithm, Proceedings of IEEE International Symposium on Neural Networks, 2011
Wei Wang, Yan Li, Xin Xu, Simon X. Yang: An adaptive roadmap guided Multi-RRTs strategy for single query path planning. International Conference on Robotics and Automation (ICRA), 2010: 2871-2876
Pengcheng Zhang, Xin Xu, Chunming Liu, and Qiping Yuan. Reinforcement Learning Control of a Real Mobile Robot Using Approximate Policy Iteration. ISNN 2009, Part III, Lecture Notes in Computer Science, LNCS 5553, pp. 278-288, 2009.
Xin Xu, Hongyu Zhang, Bin Dai, Han-gen He: Self-learning path-tracking control of autonomous vehicles using kernel-based approximate dynamic programming. Proc. of International Joint Conference on Neural Networks, 2008: 2182-2189
Jun Wu, Xin Xu, Chuan-qiang Lian, Yan Huang. Adaptive dual heuristic programming based on delta-bar-delta learning Rule. Proceedings of International Symposium on Neural Networks, 2011
Jun Wu, Xin Xu, Zhen-ping Sun, Yan Huang: Cooperative multi-agent reinforcement learning based on online heuristic extraction. ICNC 2011: 1299-1303
Huiyuan Yang, Qi Guo, Xin Xu, Chuanqiang Lian: Self-learning PD algorithms based on approximate dynamic programming for robot motion planning. IJCNN 2014: 3663-3670
Chunming Liu, Jinze Song, Xin Xu, and Pengcheng Zhang. Reordering Sparsification of Kernel Machines in Approximate Policy Iteration. ISNN 2009, Part II, Lecture Notes in Computer Science, LNCS 5552, pp. 398-407, 2009
Xin Xu, Rob Law, Tao Wu: Classification of Business Travelers Using SVMs Combined with Kernel Principal Component Analysis. Lecture Notes in Artificial Intelligence, Proc. of ADMA 2007, LNCS: 524-532
Chunming Liu, Xin Xu, et al. Adaptive Sample Collection Using Active Learning for Kernel-based Approximate Policy Iteration. In: Proc. of IEEE International Symposium on ADP and RL, Paris, 2011.
Wei Wang, Xin Xu, Yan Li, Path Planning for Redundant Manipulator without Explicit Inverse Kinematics Solution. Proceedings of the 2009 IEEE International Conference on Robotics and Biomimetics, December 19 -23, 2009, Guilin, China
Xin Xu, Yirong Luo: A Kernel-Based Reinforcement Learning Approach to Dynamic Behavior Modeling of Intrusion Detection. Lecture Notes in Computer Science,Proc. of ISNN (1) 2007: 455-464
Xin Xu, Yongqiang Sun, Zunguo Huang: Defending DDoS Attacks Using Hidden Markov Models and Cooperative Reinforcement Learning. Lecture Notes in Computer Science, Proc. of PAISI 2007: 196-207
Wei Chen, Xuening Wang, Tao Wu, Xin Xu: Visual Protractor Based Localization Algorithm for Mobile Robot. Proc. of ISDA (3) 2006: 67-71
Gang Wang, Xin Xu, Dewen Hu: Local Stability Analysis of Maximum Nongaussianity Estimation in Independent Component Analysis. Lecture Notes in Computer Science, Proc. of ISNN (1) 2006: 1133-1139
Xin Xu, Xuening Wang. An adaptive network intrusion detection method based on PCA and support vector machines. Lecture Notes in Artificial Intelligence, ADMA 2005: 696-703
Xin Xu. A sparse kernel-based least-squares temporal difference algorithm for reinforcement learning. Lecture Notes in Computer Science, ICNC (1) 2006: 47-56
Xin Xu, et al. A reinforcement learning approach for host-based intrusion detection using sequences of system calls. Lecture Notes in Computer Science, ICIC (1) 2005: 995-1003
Xin Xu, Xuening Wang, Dewen Hu. Mobile robot path-tracking using an adaptive critic learning PD controller. Lecture Notes in Computer Science, ISNN(2), 2004: 25-34
Xin Xu, et al. Text Categorization Using SVMs with Rocchio Ensemble for Internet Information Classification. Lecture Notes in Computer Science, ICCNMC, 2005, LNCS 3619, pp. 1022-1031,
Xin Xu, et al. Autonomic Computing for Defense-in-Depth Information Assurance: Architecture and A Case Study, Lecture Notes in Computer Science, GCC, 2004, LNCS 3252, pp: 414-421.
Xin Xu, et al. A Self-Learning Reactive Navigation Method for Mobile Robots. Proceedings of IEEE Int. Conference on Machine Learning and Cybemetics, 2003
Gang Wang, Xin Xu, Global Convergence of FastICA: Theoretical Analysis and Practical Considerations. Lecture Notes in Computer Science, ICNC, 2005, 700-705
Gang Wang, Xin Xu, Self-Adaptive FastICA Based on Generalized Gaussian Model. Lecture Notes in Computer Science, ISNN, 2005, 961-966
Xin Xu, et al. Residual-gradient-based neural reinforcement learning for the optimal control of an acrobat. Proceedings of the 2002 IEEE International Symposium on Intelligent Control, Canada, 758- 763