2021 - IEEE Fellow For contributions to neurodynamic systems and chaotic cryptography
Xiaofeng Liao focuses on Control theory, Algorithm, Encryption, Artificial neural network and Exponential stability. Xiaofeng Liao has included themes like Bounded function and Synchronization in his Control theory study. The concepts of his Algorithm study are interwoven with issues in Chaotic and Theoretical computer science.
His Encryption research includes elements of Image, Distributed computing and Cryptography. The Artificial neural network study combines topics in areas such as Equilibrium point, Time delays, Exponential growth and Interval. His Exponential stability research is multidisciplinary, relying on both Stability theory, Lyapunov function, Applied mathematics and Constant.
Xiaofeng Liao mainly focuses on Control theory, Artificial neural network, Algorithm, Exponential stability and Chaotic. In his study, Chaotic systems is strongly linked to Synchronization of chaos, which falls under the umbrella field of Control theory. His studies in Artificial neural network integrate themes in fields like Monotonic function, Interval, Applied mathematics and Constant.
His research in Algorithm intersects with topics in Image, Artificial intelligence, Theoretical computer science and Encryption. In his research, Bogdanov–Takens bifurcation is intimately related to Mathematical analysis, which falls under the overarching field of Exponential stability. Xiaofeng Liao has researched Chaotic in several fields, including CHAOS, Lyapunov stability, Attractor, Synchronization and Cryptosystem.
Xiaofeng Liao mostly deals with Algorithm, Control theory, Encryption, Chaotic and Mathematical optimization. His Algorithm study deals with Pixel intersecting with Information hiding. The study incorporates disciplines such as Artificial neural network, Multi-agent system, Consensus and Function in addition to Control theory.
His Encryption study integrates concerns from other disciplines, such as Image, Theoretical computer science and Compressed sensing. His Chaotic research is multidisciplinary, incorporating perspectives in Digital image, Partial differential equation, Synchronization, Ordinary differential equation and Applied mathematics. His Mathematical optimization research integrates issues from Convergence and Upper and lower bounds.
Xiaofeng Liao spends much of his time researching Algorithm, Encryption, Control theory, Multi-agent system and Image. His Algorithm study combines topics in areas such as Coupled map lattice, Logistic map and Transmission. His studies deal with areas such as Theoretical computer science and Sine as well as Encryption.
His Control theory study combines topics from a wide range of disciplines, such as Function and Computer simulation. His Multi-agent system research includes themes of Event, Discrete time and continuous time, Correctness and Protocol. His Nonlinear system research is multidisciplinary, relying on both Reaction–diffusion system, Dirichlet boundary condition, Artificial neural network, Topology and Complex network.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
A new chaos-based fast image encryption algorithm
Yong Wang;Kwok-Wo Wong;Xiaofeng Liao;Guanrong Chen.
Applied Soft Computing (2011)
An image encryption approach based on chaotic maps
Linhua Zhang;Xiaofeng Liao;Xuebing Wang.
Chaos Solitons & Fractals (2005)
Delay-dependent exponential stability analysis of delayed neural networks: an LMI approach
Xiaofeng Liao;Guanrong Chen;Edgar N. Sanchez.
Neural Networks (2002)
Event-Triggering Sampling Based Leader-Following Consensus in Second-Order Multi-Agent Systems
Huaqing Li;Xiaofeng Liao;Tingwen Huang;Wei Zhu.
IEEE Transactions on Automatic Control (2015)
LMI-based approach for asymptotically stability analysis of delayed neural networks
Xiaofeng Liao;Guanrong Chen;E.N. Sanchez.
IEEE Transactions on Circuits and Systems I-regular Papers (2002)
Robust stability for interval Hopfield neural networks with time delay
Xiaofeng Liao;Jeubang Yu.
IEEE Transactions on Neural Networks (1998)
Analysis and improvement of a chaos-based image encryption algorithm
Di Xiao;Xiaofeng Liao;Pengcheng Wei.
Chaos Solitons & Fractals (2009)
A chaos-based image encryption algorithm with variable control parameters
Yong Wang;Yong Wang;Kwok-Wo Wong;Xiaofeng Liao;Tao Xiang.
Chaos Solitons & Fractals (2009)
Chaotic lag synchronization of coupled time-delayed systems and its applications in secure communication
Chuandong Li;Xiaofeng Liao;Kwok-wo Wong.
Physica D: Nonlinear Phenomena (2004)
Novel robust stability criteria for interval-delayed Hopfield neural networks
Xiaofeng Liao;Kwok-Wo Wong;Zhongfu Wu;Guanrong Chen.
IEEE Transactions on Circuits and Systems I-regular Papers (2001)
Profile was last updated on December 6th, 2021.
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