Pingping Zhu

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 27

Top Topics

Dirichlet Process

Target Tracking

Robotic Systems

Top Venues

IEEE Trans. Control. Netw. Syst.

Publications

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 (2024)
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 (2024)
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 (2024)
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)
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) (2023)
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 (2023)
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)
Pingping Zhu, José C. Príncipe
Kernel Nonlinear Dynamic System Identification Based on Expectation-Maximization Method. IJCNN (2022)
Cong Pu, Pingping Zhu
Mitigating Routing Misbehavior in the Internet of Drones Environment. VTC Spring (2022)
Keith A. LeGrand, Pingping Zhu, Silvia Ferrari
Cell Multi-Bernoulli (Cell-MB) Sensor Control for Multi-object Search-While-Tracking (SWT). CoRR (2021)
Pingping Zhu, Chang Liu, Silvia Ferrari
Adaptive Online Distributed Optimal Control of Very-Large-Scale Robotic Systems. IEEE Trans. Control. Netw. Syst. 8 (2) (2021)
Keith A. LeGrand, Pingping Zhu, Silvia Ferrari
A Random Finite Set Sensor Control Approach for Vision-based Multi-object Search-While-Tracking. FUSION (2021)
Cong Pu, Pingping Zhu
Defending against Flooding Attacks in the Internet of Drones Environment. GLOBECOM (2021)
Pingping Zhu, Chang Liu, Silvia Ferrari
Adaptive Online Distributed Optimal Control of Very-Large-Scale Robotic Systems. CoRR (2020)
Junyi Dong, Pingping Zhu, Silvia Ferrari
Oriented Pedestrian Social Interaction Modeling and Inference. ACC (2020)
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) (2019)
Julian Morelli, Pingping Zhu, Bryce Doerr, Richard Linares, Silvia Ferrari
Integrated Mapping and Path Planning for Very Large-Scale Robotic (VLSR) Systems. ICRA (2019)
Pingping Zhu, Silvia Ferrari, Julian Morelli, Richard Linares, Bryce Doerr
Scalable Gas Sensing, Mapping, and Path Planning via Decentralized Hilbert Maps. Sensors 19 (7) (2019)
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) (2018)
Bryce Doerr, Richard Linares, Pingping Zhu, Silvia Ferrari
Random Finite Set Theory and Optimal Control for Large Spacecraft Swarms. CoRR (2018)
Pingping Zhu, Jason T. Isaacs, Bo Fu, Silvia Ferrari
Deep learning feature extraction for target recognition and classification in underwater sonar images. CDC (2017)
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) (2017)
Songlin Zhao, Badong Chen, Zheng Cao, Pingping Zhu, José C. Príncipe
Self-organizing kernel adaptive filtering. EURASIP J. Adv. Signal Process. 2016 (2016)
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 (2016)
Pingping Zhu, Julian Morelli, Silvia Ferrari
Value function approximation for the control of multiscale dynamical systems. CDC (2016)
Pingping Zhu, Hongchuan Wei, Wenjie Lu, Silvia Ferrari
Multi-kernel probability distribution regressions. IJCNN (2015)
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 (2015)
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) (2014)
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) (2014)
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)
Hongchuan Wei, Wenjie Lu, Pingping Zhu, Guoquan Huang, John J. Leonard, Silvia Ferrari
Optimized visibility motion planning for target tracking and localization. IROS (2014)
Jongmin Lee, Pingping Zhu, José C. Príncipe
A parameter-free kernel design based on cumulative distribution function for correntropy. IJCNN (2013)
Songlin Zhao, Badong Chen, Pingping Zhu, José C. Príncipe
Fixed budget quantized kernel least-mean-square algorithm. Signal Process. 93 (9) (2013)
Pingping Zhu, José C. Príncipe
Kernel recurrent system trained by real-time recurrent learning algorithm. ICASSP (2013)
Pingping Zhu, José C. Príncipe
Analysis on extended kernel recursive least squares algorithm. IJCNN (2013)
Badong Chen, Songlin Zhao, Pingping Zhu, José Carlos Príncipe
Quantized Kernel Recursive Least Squares Algorithm. IEEE Trans. Neural Networks Learn. Syst. 24 (9) (2013)
Badong Chen, Songlin Zhao, Pingping Zhu, José C. Príncipe
Mean square convergence analysis for kernel least mean square algorithm. Signal Process. 92 (11) (2012)
Badong Chen, Songlin Zhao, Pingping Zhu, José Carlos Príncipe
Quantized Kernel Least Mean Square Algorithm. IEEE Trans. Neural Networks Learn. Syst. 23 (1) (2012)
Pingping Zhu, Badong Chen, José C. Príncipe
A novel extended kernel recursive least squares algorithm. Neural Networks 32 (2012)
Badong Chen, Pingping Zhu, José Carlos Príncipe
Survival Information Potential: A New Criterion for Adaptive System Training. IEEE Trans. Signal Process. 60 (3) (2012)
Pingping Zhu, Badong Chen, José C. Príncipe
Extended Kalman filter using a kernel recursive least squares observer. IJCNN (2011)
Pingping Zhu, Jianguo Liu, Shengkui Dai
Fixed-point IDCT without multiplications based on B.G. Lee's algorithm. Digit. Signal Process. 19 (4) (2009)
Pingping Zhu, Jianguo Liu, Shengkui K. Dai, Guoyou Wang
Scaled AAN for Fixed-Point Multiplier-Free IDCT. EURASIP J. Adv. Signal Process. 2009 (2009)