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ORCIDPingping Zhu
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2020 – today
- 2024
[c18]Pingping Zhu, Chang Liu, Peter Estephan:
A Novel Multivariate Skew-Normal Mixture Model and Its Application in Path-Planning for Very-Large-Scale Robotic Systems. ACC 2024: 3783-3790- [i7]Pingping Zhu, Chang Liu, Peter Estephan:
A Novel Multivariate Skew-Normal Mixture Model and Its Application in Path-Planning for Very-Large-Scale Robotic Systems. CoRR abs/2402.11091 (2024) - [i6]Xuru Yang, Yunze Hu, Han Gao, Kang Ding, Zhaoyang Li, Pingping Zhu, Ying Sun, Chang Liu:
Risk-Aware Non-Myopic Motion Planner for Large-Scale Robotic Swarm Using CVaR Constraints. CoRR abs/2402.16690 (2024) - [i5]Yunze Hu, Xuru Yang, Kangjie Zhou, Qinghang Liu, Kang Ding, Han Gao, Pingping Zhu, Chang Liu:
SwarmPRM: Probabilistic Roadmap Motion Planning for Swarm Robotic Systems. CoRR abs/2402.16699 (2024) - 2023
- [j19]Keith A. LeGrand
, Pingping Zhu, Silvia Ferrari:
Cell Multi-Bernoulli (Cell-MB) Sensor Control for Multi-Object Search-While-Tracking (SWT). IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7195-7207 (2023) - [c17]Xuru Yang, Han Gao, Pingping Zhu, Chang Liu:
Risk-Aware Motion Planning for Very-Large-Scale Robotics Systems Using Conditional Value-at-Risk. ICIRA (7) 2023: 513-525 - [i4]Yucheng Chen, Pingping Zhu, Anthony Alers, Tobias Egner, Marc A. Sommer, Silvia Ferrari:
Heuristic Satisficing Inferential Decision Making in Human and Robot Active Perception. CoRR abs/2309.07720 (2023) - 2022
- [c16]Hengye Yang, Joy Putney, Usama Bin Sikandar, Pingping Zhu, Simon Sponberg, Silvia Ferrari:
A Relative Spike-Timing Approach to Kernel-Based Decoding Demonstrated for Insect Flight Experiments. IJCNN 2022: 1-7 - [c15]Pingping Zhu, José C. Príncipe:
Kernel Nonlinear Dynamic System Identification Based on Expectation-Maximization Method. IJCNN 2022: 1-10 - [c14]Cong Pu, Pingping Zhu:
Mitigating Routing Misbehavior in the Internet of Drones Environment. VTC Spring 2022: 1-6 - 2021
- [j18]Pingping Zhu, Chang Liu, Silvia Ferrari:
Adaptive Online Distributed Optimal Control of Very-Large-Scale Robotic Systems. IEEE Trans. Control. Netw. Syst. 8(2): 678-689 (2021) - [c13]Keith A. LeGrand, Pingping Zhu, Silvia Ferrari:
A Random Finite Set Sensor Control Approach for Vision-based Multi-object Search-While-Tracking. FUSION 2021: 1-8 - [c12]Cong Pu, Pingping Zhu:
Defending against Flooding Attacks in the Internet of Drones Environment. GLOBECOM 2021: 1-6 - [i3]Keith A. LeGrand, Pingping Zhu, Silvia Ferrari:
Cell Multi-Bernoulli (Cell-MB) Sensor Control for Multi-object Search-While-Tracking (SWT). CoRR abs/2108.11236 (2021) - 2020
- [c11]Junyi Dong, Pingping Zhu, Silvia Ferrari:
Oriented Pedestrian Social Interaction Modeling and Inference. ACC 2020: 1373-1370 - [i2]Pingping Zhu, Chang Liu, Silvia Ferrari:
Adaptive Online Distributed Optimal Control of Very-Large-Scale Robotic Systems. CoRR abs/2003.01891 (2020)
2010 – 2019
- 2019
- [j17]Pingping Zhu, Silvia Ferrari, Julian Morelli, Richard Linares, Bryce Doerr:
Scalable Gas Sensing, Mapping, and Path Planning via Decentralized Hilbert Maps. Sensors 19(7): 1524 (2019) - [j16]Hongchuan Wei, Pingping Zhu, Miao Liu, Jonathan P. How, Silvia Ferrari:
Automatic Pan-Tilt Camera Control for Learning Dirichlet Process Gaussian Process (DPGP) Mixture Models of Multiple Moving Targets. IEEE Trans. Autom. Control. 64(1): 159-173 (2019) - [c10]Julian Morelli, Pingping Zhu, Bryce Doerr, Richard Linares, Silvia Ferrari:
Integrated Mapping and Path Planning for Very Large-Scale Robotic (VLSR) Systems. ICRA 2019: 3356-3362 - 2018
- [j15]Greg Foderaro, Pingping Zhu, Hongchuan Wei, Thomas A. Wettergren, Silvia Ferrari:
Distributed Optimal Control of Sensor Networks for Dynamic Target Tracking. IEEE Trans. Control. Netw. Syst. 5(1): 142-153 (2018) - [i1]Bryce Doerr, Richard Linares, Pingping Zhu, Silvia Ferrari:
Random Finite Set Theory and Optimal Control for Large Spacecraft Swarms. CoRR abs/1810.00696 (2018) - 2017
- [j14]Keith Rudd, Greg Foderaro, Pingping Zhu, Silvia Ferrari:
A Generalized Reduced Gradient Method for the Optimal Control of Very-Large-Scale Robotic Systems. IEEE Trans. Robotics 33(5): 1226-1232 (2017) - [c9]Pingping Zhu, Jason T. Isaacs, Bo Fu, Silvia Ferrari:
Deep learning feature extraction for target recognition and classification in underwater sonar images. CDC 2017: 2724-2731 - 2016
- [j13]Hongchuan Wei, Wenjie Lu, Pingping Zhu, Silvia Ferrari, Miao Liu, Robert H. Klein, Shayegan Omidshafiei, Jonathan P. How:
Information value in nonparametric Dirichlet-process Gaussian-process (DPGP) mixture models. Autom. 74: 360-368 (2016) - [j12]Songlin Zhao, Badong Chen, Zheng Cao, Pingping Zhu, José C. Príncipe:
Self-organizing kernel adaptive filtering. EURASIP J. Adv. Signal Process. 2016: 106 (2016) - [c8]Pingping Zhu, Julian Morelli, Silvia Ferrari:
Value function approximation for the control of multiscale dynamical systems. CDC 2016: 5471-5477 - 2015
- [j11]Guiyi Wei, Jun Shao, Yang Xiang, Pingping Zhu, Rongxing Lu:
Obtain confidentiality or/and authenticity in Big Data by ID-based generalized signcryption. Inf. Sci. 318: 111-122 (2015) - [c7]Pingping Zhu, Hongchuan Wei, Wenjie Lu, Silvia Ferrari:
Multi-kernel probability distribution regressions. IJCNN 2015: 1-7 - 2014
- [j10]Bishan Ying, Pingping Zhu, Ye Gu:
A Fast Searching Approach for Top-k Partner Selection in Dynamic Alliances of Virtual Enterprises. J. Comput. 9(9): 2013-2021 (2014) - [j9]Pingping Zhu, Badong Chen, José C. Príncipe:
Learning Nonlinear Generative Models of Time Series With a Kalman Filter in RKHS. IEEE Trans. Signal Process. 62(1): 141-155 (2014) - [c6]Hongchuan Wei, Wenjie Lu, Pingping Zhu, Guoquan Huang, John J. Leonard, Silvia Ferrari:
Optimized visibility motion planning for target tracking and localization. IROS 2014: 76-82 - [c5]Hongchuan Wei, Wenjie Lu, Pingping Zhu, Silvia Ferrari, Robert H. Klein, Shayegan Omidshafiei, Jonathan P. How:
Camera control for learning nonlinear target dynamics via Bayesian nonparametric Dirichlet-process Gaussian-process (DP-GP) models. IROS 2014: 95-102 - 2013
- [j8]Songlin Zhao, Badong Chen, Pingping Zhu, José C. Príncipe:
Fixed budget quantized kernel least-mean-square algorithm. Signal Process. 93(9): 2759-2770 (2013) - [j7]Badong Chen, Songlin Zhao, Pingping Zhu, José Carlos Príncipe:
Quantized Kernel Recursive Least Squares Algorithm. IEEE Trans. Neural Networks Learn. Syst. 24(9): 1484-1491 (2013) - [c4]Pingping Zhu, José C. Príncipe:
Kernel recurrent system trained by real-time recurrent learning algorithm. ICASSP 2013: 3572-3576 - [c3]Jongmin Lee, Pingping Zhu, José C. Príncipe:
A parameter-free kernel design based on cumulative distribution function for correntropy. IJCNN 2013: 1-5 - [c2]Pingping Zhu, José C. Príncipe:
Analysis on extended kernel recursive least squares algorithm. IJCNN 2013: 1-4 - 2012
- [j6]Pingping Zhu, Badong Chen, José C. Príncipe:
A novel extended kernel recursive least squares algorithm. Neural Networks 32: 349-357 (2012) - [j5]Badong Chen, Songlin Zhao, Pingping Zhu, José C. Príncipe:
Mean square convergence analysis for kernel least mean square algorithm. Signal Process. 92(11): 2624-2632 (2012) - [j4]Badong Chen, Songlin Zhao, Pingping Zhu, José Carlos Príncipe:
Quantized Kernel Least Mean Square Algorithm. IEEE Trans. Neural Networks Learn. Syst. 23(1): 22-32 (2012) - [j3]Badong Chen, Pingping Zhu, José Carlos Príncipe:
Survival Information Potential: A New Criterion for Adaptive System Training. IEEE Trans. Signal Process. 60(3): 1184-1194 (2012) - 2011
- [c1]Pingping Zhu, Badong Chen, José C. Príncipe:
Extended Kalman filter using a kernel recursive least squares observer. IJCNN 2011: 1402-1408
2000 – 2009
- 2009
- [j2]Pingping Zhu, Jianguo Liu, Shengkui Dai:
Fixed-point IDCT without multiplications based on B.G. Lee's algorithm. Digit. Signal Process. 19(4): 770-777 (2009) - [j1]Pingping Zhu, Jianguo Liu, Shengkui K. Dai, Guoyou Wang:
Scaled AAN for Fixed-Point Multiplier-Free IDCT. EURASIP J. Adv. Signal Process. 2009 (2009)
Coauthor Index
aka: José Carlos Príncipe
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