Yong Xu

发表

Learning a Nonnegative Sparse Graph for Linear Regression

Xuelong Li, Wai Keung Wong, Zhihui Lai, 2015, IEEE Transactions on Image Processing.

Dissipativity-Based Resilient Filtering of Periodic Markovian Jump Neural Networks With Quantized Measurements

Peng Shi, Zheng-Guang Wu, Renquan Lu, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Quantized fuzzy passification for nonlinear systems with Markov-based transmission delays

Renquan Lu, Yong Xu, Kan Xie, 2017, J. Frankl. Inst..

Optimization Design of 'Carbon Steel Heat-Treatment' Experimental Education

Lei Shi, Yong Xu, Zhigang Wang, 2014 .

Finite-Horizon $l_2-l_\infty$ Synchronization for Time-Varying Markovian Jump Neural Networks Under Mixed-Type Attacks: Observer-Based Case

Renquan Lu, Yong Xu, Yuanqing Wu, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Sparse Alignment for Robust Tensor Learning

Wai Keung Wong, Zhihui Lai, Yong Xu, 2014, IEEE Transactions on Neural Networks and Learning Systems.

A New Design of Model Predictive Tracking Control for Networked Control System Under Random Packet Loss and Uncertainties

Renquan Lu, Yong Xu, Ridong Zhang, 2016, IEEE Transactions on Industrial Electronics.

Sparse tensor discriminant analysis

Jian Yang, David Zhang, Jinhui Tang, 2013, IEEE Transactions on Image Processing.

Improved accuracy of reconstructed diffuse optical tomographic images by means of spatial deconvolution: two-dimensional quantitative characterization.

Yong Xu, Yaling Pei, Harry L Graber, 2005, Applied optics.

Distributed state estimation for periodic systems with sensor nonlinearities and successive packet dropouts

Renquan Lu, Yong Xu, Hui Peng, 2017, Neurocomputing.

Lasso logistic regression based approach for extracting plants coregenes responding to abiotic stresses

Yong Xu, Jinxing Liu, Chunhou Zheng, 2011, The Fourth International Workshop on Advanced Computational Intelligence.

Neuro-Fuzzy Ensemble Approach for Microarray Cancer Gene Expression Data Analysis

Yong Xu, Zhenyu Wang, V. Palade, 2006, 2006 International Symposium on Evolving Fuzzy Systems.

Robust state estimation for discrete time systems with colored noises and communication constraints

Yachao Li, Jiayu Zhou, Yong Xu, 2018, J. Frankl. Inst..

Robust Semi-Supervised Subspace Clustering via Non-Negative Low-Rank Representation

Xuelong Li, Wai Keung Wong, Zhihui Lai, 2016, IEEE Transactions on Cybernetics.

State estimation for complex networks with randomly varying nonlinearities and sensor failures

Renquan Lu, Yong Xu, Kan Xie, 2016, Complex..

Tensor Independent Component Analysis and Tensor Non-Negative Factorization

David Zhang, Fengxi Song, Yong Xu, 2009 .

H∞ filtering for singular systems with communication delays

Renquan Lu, Anke Xue, Yong Xu, 2010, Signal Process..

Finite-Time State Estimation for Coupled Markovian Neural Networks With Sensor Nonlinearities

Renquan Lu, Zhuo Wang, Yong Xu, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Joint Video Frame Set Division and Low-Rank Decomposition for Background Subtraction

Jinhui Tang, Zhihui Lai, Jiajun Wen, 2014, IEEE Transactions on Circuits and Systems for Video Technology.

Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data

Yong Xu, Chun-Hou Zheng, Jin-Xing Liu, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Passive filter design for periodic stochastic systems with quantized measurements and randomly occurring nonlinearities

Renquan Lu, Jian Chen, Yong Xu, 2016, J. Frankl. Inst..

Sparse Approximation to the Eigensubspace for Discrimination

Jian Yang, Wai Keung Wong, Zhong Jin, 2012, IEEE Transactions on Neural Networks and Learning Systems.

Networked Control With State Reset and Quantized Measurements: Observer-Based Case

Renquan Lu, Anke Xue, Jinchuan Zheng, 2013, IEEE Transactions on Industrial Electronics.

Robust Estimation for Neural Networks With Randomly Occurring Distributed Delays and Markovian Jump Coupling

Peng Shi, Shengli Xie, Renquan Lu, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Behavioral consistency checking between requirements and implementations

Xiang Ling, Yong Xu, Bo Huang, 2014, Wuhan University Journal of Natural Sciences.

A Class-Information-Based Sparse Component Analysis Method to Identify Differentially Expressed Genes on RNA-Seq Data

Qi Zhu, Yong Xu, Chun-Hou Zheng, 2016, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Modified Principal Component Analysis: An Integration of Multiple Similarity Subspace Models

Jian Yang, David Zhang, Jinhui Tang, 2014, IEEE Transactions on Neural Networks and Learning Systems.

State estimation for neural networks with jumping interval weight matrices and transmission delays

Renquan Lu, Yong Xu, Hong-Xia Rao, 2018, Neurocomputing.

Optimal Estimation for Discrete-Time Linear System with Communication Constraints and Measurement Quantization

Junlin Xiong, Renquan Lu, Yong Xu, 2020, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Joint Tensor Feature Analysis For Visual Object Recognition

Wai Keung Wong, Zhihui Lai, Jiajun Wen, 2015, IEEE Transactions on Cybernetics.

A self-adaptive Power control algorithm based on game theory for inter-WBAN interference mitigation

Yong Xu, Fen Liu, Mengya Ke, 2016, 2016 2nd IEEE International Conference on Computer and Communications (ICCC).

A distributed Kalman filtering algorithm with fast finite-time convergence for sensor networks

Minyue Fu, Zongze Wu, Renquan Lu, 2018, Autom..

Nonfragile l2-l∞ state estimation for discrete-time neural networks with jumping saturations

Renquan Lu, Yong Xu, Kan Xie, 2016, Neurocomputing.

A calibration method of UAV accelerometer based on levenberg-marquardt iteration algorithm

Yuan Zhong, Yong Xu, 2018, 2018 Chinese Control And Decision Conference (CCDC).

Stability of continuous-time positive switched linear systems: A weak common copositive Lyapunov functions approach

Lihua Xie, Renquan Lu, Jiu-Gang Dong, 2018, Autom..

H∞ filtering for singular systems with communication delays

Renquan Lu, Anke Xue, Hongye Su, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

Rui Yan, Yong Xu, Zuofeng Zhong, 2016, 2016 13th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP).

Finite-time bounded control for a class of stochastic nonlinear systems with randomly quantized measurements

Renquan Lu, Yong Xu, Yuan-Qing Wu, 2016, J. Frankl. Inst..

Asynchronous Dissipative State Estimation for Stochastic Complex Networks With Quantized Jumping Coupling and Uncertain Measurements

Renquan Lu, Anke Xue, Yong Xu, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Research and Application of Energy-Saving Design Technologies in Science Center Building

Yong Xu, Ji Chao Zhang, 2011 .

Dissipativity-based asynchronous state estimation for Markov jump neural networks with jumping fading channels

Renquan Lu, Hongye Su, Yong Xu, 2017, Neurocomputing.

Establishing adaptation loop in interaction between human user and adaptive agent

Toyoaki Nishida, Yoshimasa Ohmoto, Yasuyuki Sumi, 2009, 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems.

Study of Error Control Method for High Performance Unidirectional Data Transmission

Wei Ding, Yong Xu, Limei Ma, 2018, 2018 2nd IEEE Advanced Information Management,Communicates,Electronic and Automation Control Conference (IMCEC).

Discriminant Criteria for Pattern Classification

David Zhang, Fengxi Song, Yong Xu, 2009 .

Integrating Conventional and Inverse Representation for Face Recognition

Jian Yang, Xuelong Li, David Zhang, 2014, IEEE Transactions on Cybernetics.

Orthogonal self-guided similarity preserving projection for classification and clustering

Xuelong Li, Zhihui Lai, Lunke Fei, 2017, Neural Networks.

Observer-based sliding mode control of Markov jump systems with random sensor delays and partly unknown transition rates

Renquan Lu, Yong Xu, Deyin Yao, 2017, Int. J. Syst. Sci..

The FEA and Optimal Design of Swing Arm Based on Pro/Mechanica

Yong Xu, 2018 .

Protein secondary structure prediction via kernel minimum squared error

Qi Zhu, Yong Xu, 2011, 2011 3rd International Conference on Advanced Computer Control.

Study on the Fault Diagnosis Method of the Five-Axis Rotor-Helicopter

Yuan Zhong, Yong Xu, Yu-Hao Ding, 2017, WCNA 2017.

Robust H∞ filtering for Markov jump systems with mode-dependent quantized output and partly unknown transition probabilities

Lijie Wang, Renquan Lu, Yong Xu, 2017, Signal Process..

Designing complex optical filters using photonic crystal microcavitites

Ali Adibi, Yong Xu, Babak Momeni, 2003, SPIE OPTO.

Hybrid key management scheme for preventing man-in-middle attack in heterogeneous sensor networks

Yong Xu, Fen Liu, 2017, 2017 3rd IEEE International Conference on Computer and Communications (ICCC).

Orthogonal self-guided similarity preserving projections

LinLin Shen, Zheng Zhang, Zhihui Lai, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

A Locality-Constrained and Label Embedding Dictionary Learning Algorithm for Image Classification

Jian Yang, David Zhang, Zhihui Lai, 2017, IEEE Transactions on Neural Networks and Learning Systems.

3D AVO Crossplotting - an Effective Visualization Technique

Yong Xu, Satinder Chopra, Vladimir Alexeev, 2003 .

Optimal Estimation in UDP-Like Networked Control Systems With Intermittent Inputs: Stability Analysis and Suboptimal Filter Design

Hongye Su, Yong Xu, Zhengguang Wu, 2016, IEEE Transactions on Automatic Control.

Research and Application of New Technologies in Engineering Disaster Prevention

Yong Xu, Ji Chao Zhang, Kai Xu, 2010 .

Using the idea of the sparse representation to perform coarse-to-fine face recognition

David Zhang, Qi Zhu, Zhihui Lai, 2013, Inf. Sci..

Robust PCA based method for discovering differentially expressed genes

Yong Xu, Chun-Hou Zheng, Wen Sha, 2013, BMC Bioinformatics.

Numerical Simulation Analysis for Enclosure Piles Cracking of a Deep Pit Foundation

Yong Xu, Ji Chao Zhang, Yong Kang Yang, 2011 .

Finite-time control for periodic systems with Markov jump sensor nonlinearities and random input gains

Yong Xu, Hong-Xia Rao, Chang Liu, 2018, J. Frankl. Inst..

Research on Update strategy in batch group re-keying

Yong Xu, Xiao-wei Zhu, Huan-huan Zhao, 2010, 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering.

Research on sampling of vibration signals based on compressed sensing

Hongchun Sun, Yong Xu, Zhiyuan Wang, 2016 .

Nonfragile asynchronous control for fuzzy Markov jump systems with packet dropouts

Renquan Lu, Yong Xu, Zuxin Li, 2016, Neurocomputing.

Approximate Orthogonal Sparse Embedding for Dimensionality Reduction

Jian Yang, Wai Keung Wong, David Zhang, 2016, IEEE Transactions on Neural Networks and Learning Systems.

Recovery of absolute height from wrapped phase maps for fringe projection profilometry.

Yong Xu, Hualing Chen, Jia Yang, 2014, Optics express.

e-Bitter: Bitterant Prediction by the Consensus Voting From the Machine-Learning Methods

Fu Lin, Yong Xu, Chengwei Zhao, 2018, Front. Chem..

Biometric Recognition

Shiguang Shan, Zhenan Sun, Yunhong Wang, 2017, Lecture Notes in Computer Science.

Output Regulation of Linear Singular Multi-Agent Systems

Renquan Lu, Yong Xu, Jinfeng Gao, 2017, Circuits Syst. Signal Process..

Identifying Characteristic Genes Based on Robust Principal Component Analysis

Yong Xu, Chun-Hou Zheng, Jin-Xing Liu, 2012, ICIC.

Protein fold recognition based on sparse representation based classification

Bin Liu, Ke Yan, Xiaozhao Fang, 2017, Artif. Intell. Medicine.

Low-Rank Preserving Projections

Xuelong Li, David Zhang, Zhihui Lai, 2016, IEEE Transactions on Cybernetics.

Passive state estimator design for Markovian complex networks with polytopic sensor failures

Peng Shi, Yong Xu, Hui Peng, 2018, Neurocomputing.

Multilinear Sparse Principal Component Analysis

Jian Yang, David Zhang, Zhihui Lai, 2014, IEEE Transactions on Neural Networks and Learning Systems.

An Effective Transmission Scheme Based on Early Congestion Detection for Information-Centric Network

Yong Xu, Hong Ni, Xiaoyong Zhu, 2021, Electronics.