Feng Liu
Feng Liu
Stevens Institute of Technology
Verified email at mgh.harvard.edu - Homepage
Cited by
Cited by
Dynamic analysis, circuit realization, control design and image encryption application of an extended Lü system with coexisting attractors
Q Lai, B Norouzi, F Liu
Chaos, Solitons & Fractals 114, 230-245, 2018
An extremely simple chaotic system with infinitely many coexisting attractors
Q Lai, PDK Kuate, F Liu, HHC Iu
IEEE Transactions on Circuits and Systems II: Express Briefs 67 (6), 1129-1133, 2019
Multi-AGV path planning with double-path constraints by using an improved genetic algorithm
Z Han, D Wang, F Liu, Z Zhao
PloS one 12 (7), e0181747, 2017
Wind farm layout optimization using self-informed genetic algorithm with information guided exploitation
X Ju, F Liu
Applied Energy 248, 429-445, 2019
Chaotification of complex networks with impulsive control
ZH Guan, F Liu, J Li, YW Wang
Chaos: An Interdisciplinary Journal of Nonlinear Science 22 (2), 023137, 2012
A new chaotic Hopfield neural network and its synthesis via parameter switchings
J Li, F Liu, ZH Guan, T Li
Neurocomputing 117, 33-39, 2013
Wind farm layout optimization based on support vector regression guided genetic algorithm with consideration of participation among landowners
X Ju, F Liu, L Wang, WJ Lee
Energy Conversion and Management 196, 1267-1281, 2019
Wind farm macro-siting optimization with insightful bi-criteria identification and relocation mechanism in genetic algorithm
F Liu, X Ju, N Wang, L Wang, WJ Lee
Energy Conversion and Management 217, 112964, 2020
Graph regularized EEG source imaging with in-class consistency and out-class discrimination
F Liu, J Rosenberger, Y Lou, R Hosseini, J Su, S Wang
IEEE Transactions on Big Data 3 (4), 378-391, 2017
Offshore wind farm layout optimization using adapted genetic algorithm: A different perspective
F Liu, Z Wang
arXiv preprint arXiv:1403.7178, 2014
Common spatial pattern reformulated for regularizations in brain-computer interfaces
B Wang, CM Wong, Z Kang, F Liu, C Shui, F Wan, CLP Chen
IEEE Transactions on Cybernetics, 2020
Separate block based parameter estimation method for Hammerstein systems
S Zhang, D Wang, F Liu
Royal Society Open Science 5, 172194, 2018
A sparse dictionary learning framework to discover discriminative source activations in EEG brain mapping
F Liu, S Wang, J Rosenberger, J Su, H Liu
Thirty-First AAAI Conference on Artificial Intelligence, 2017
Predefined-time formation tracking control of networked marine surface vehicles
CD Liang, MF Ge, ZW Liu, G Ling, F Liu
Control Engineering Practice 107, 104682, 2021
Supervised discriminative EEG brain source imaging with graph regularization
F Liu, R Hosseini, J Rosenberger, S Wang, J Su
MICCAI, 495-504, 2017
Prediction of seizure spread network via sparse representations of overcomplete dictionaries
F Liu, W Xiang, S Wang, B Lega
International Conference on Brain Informatics, 262-273, 2016
Tracking performance limitations of networked control systems with repeated zeros and poles
CY Chen, F Liu, L Wu, H Yan, W Gui, HE Stanley
IEEE Transactions on Automatic Control 66 (4), 1902-1909, 2020
Electric load forecasting using parallel RBF neural network
F Liu, Z Wang
2013 IEEE Global Conference on Signal and Information Processing, 531-534, 2013
EEG source imaging based on spatial and temporal graph structures
J Qin, F Liu, S Wang, J Rosenberger
2017 Seventh International Conference on Image Processing Theory, Tools and …, 2017
Fast Knot Optimization for Multivariate Adaptive Regression Splines Using Hill Climbing Methods
X Ju, VCP Chen, JM Rosenberger, F Liu
Expert Systems with Applications 171, 114565, 2021
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