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Pingping Zhu
Pingping Zhu
Assistant Professor, Marshall University
Verified email at marshall.edu - Homepage
Title
Cited by
Cited by
Year
Quantized kernel least mean square algorithm
B Chen, S Zhao, P Zhu, JC Príncipe
IEEE Transactions on Neural Networks and Learning Systems 23 (1), 22-32, 2011
3962011
Quantized kernel recursive least squares algorithm
B Chen, S Zhao, P Zhu, JC Principe
IEEE transactions on neural networks and learning systems 24 (9), 1484-1491, 2013
1772013
Deep learning feature extraction for target recognition and classification in underwater sonar images
P Zhu, J Isaacs, B Fu, S Ferrari
2017 IEEE 56th annual conference on decision and control (CDC), 2724-2731, 2017
822017
Fixed budget quantized kernel least-mean-square algorithm
S Zhao, B Chen, P Zhu, JC Príncipe
Signal Processing 93 (9), 2759-2770, 2013
732013
A Mobile Sensing Approach for Regional Surveillance of Fugitive Methane Emissions in Oil and Gas Production
ET Albertson, John D., Tierney A. Harvey, Greg Foderaro, Pingping Zhu ...
Environmental science & technology, 2016
652016
Survival information potential: A new criterion for adaptive system training
B Chen, P Zhu, JC Principe
IEEE Transactions on Signal Processing 60 (3), 1184-1194, 2011
622011
Learning Nonlinear Generative Models of Time Series With a Kalman Filter in RKHS
P Zhu, B Chen, JC Principe
Signal Processing, IEEE Transactions on 62 (1), 141-155, 2014
472014
Mean square convergence analysis for kernel least mean square algorithm
B Chen, S Zhao, P Zhu, JC Príncipe
Signal Processing 92 (11), 2624-2632, 2012
472012
A Hybrid-Adaptive Dynamic Programming Approach for the Model-Free Control of Nonlinear Switched Systems
W Lu, P Zhu, S Ferrari
IEEE Transactions on Automatic Control 61 (10), 3203-3208, 2016
452016
Distributed optimal control of sensor networks for dynamic target tracking
G Foderaro, P Zhu, H Wei, TA Wettergren, S Ferrari
IEEE Transactions on Control of Network Systems 5 (1), 142-153, 2016
422016
Satisficing in split-second decision making is characterized by strategic cue discounting.
H Oh, JM Beck, P Zhu, MA Sommer, S Ferrari, T Egner
Journal of Experimental Psychology: Learning, Memory, and Cognition 42 (12 …, 2016
372016
Distributed Optimal Control of Multiscale Dynamical Systems: A Tutorial
S Ferrari, G Foderaro, P Zhu, TA Wettergren
IEEE Control Systems Magazine 36 (2), 102-116, 2016
352016
A novel extended kernel recursive least squares algorithm
P Zhu, B Chen, JC Príncipe
Neural Networks 32, 349-357, 2012
332012
A generalized reduced gradient method for the optimal control of very-large-scale robotic systems
K Rudd, G Foderaro, P Zhu, S Ferrari
IEEE transactions on robotics 33 (5), 1226-1232, 2017
242017
Camera control for learning nonlinear target dynamics via Bayesian nonparametric Dirichlet-process Gaussian-process (DP-GP) models
H Wei, W Lu, P Zhu, S Ferrari, RH Klein, S Omidshafiei, JP How
2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 95-102, 2014
222014
Optimized visibility motion planning for target tracking and localization
H Wei, W Lu, P Zhu, G Huang, J Leonard, S Ferrari
2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 76-82, 2014
202014
Extended Kalman filter using a kernel recursive least squares observer
P Zhu, B Chen, JC Príncipe
The 2011 International Joint Conference on Neural Networks, 1402-1408, 2011
182011
Automatic pan–tilt camera control for learning dirichlet process gaussian process (dpgp) mixture models of multiple moving targets
H Wei, P Zhu, M Liu, JP How, S Ferrari
IEEE Transactions on Automatic Control 64 (1), 159-173, 2018
162018
Self-organizing kernel adaptive filtering
S Zhao, B Chen, Z Cao, P Zhu, JC Principe
EURASIP Journal on Advances in Signal Processing 2016 (1), 1-12, 2016
162016
Information value in nonparametric Dirichlet-process Gaussian-process (DPGP) mixture models
H Wei, W Lu, P Zhu, S Ferrari, M Liu, RH Klein, S Omidshafiei, JP How
Automatica 74, 360-368, 2016
132016
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