Fixed-point IDCT without multiplications based on B.G. Lee's algorithm. - Pingping Zhu; Jianguo Liu 004; Shengkui Dai (Digit. Signal Process., 2009)

Scaled AAN for Fixed-Point Multiplier-Free IDCT. - Pingping Zhu; Jianguo Liu 004; Shengkui K. Dai; Guoyou Wang (EURASIP J. Adv. Signal Process., 2009)

Extended Kalman filter using a kernel recursive least squares observer. - Pingping Zhu; Badong Chen; José C. Príncipe (IJCNN, 2011)

A novel extended kernel recursive least squares algorithm. - Pingping Zhu; Badong Chen; José C. Príncipe (Neural Networks, 2012)

Mean square convergence analysis for kernel least mean square algorithm. - Badong Chen; Songlin Zhao; Pingping Zhu; José C. Príncipe (Signal Process., 2012)

Quantized Kernel Least Mean Square Algorithm. - Badong Chen; Songlin Zhao; Pingping Zhu; José Carlos Príncipe (IEEE Trans. Neural Networks Learn. Syst., 2012)

Survival Information Potential: A New Criterion for Adaptive System Training. - Badong Chen; Pingping Zhu; José Carlos Príncipe (IEEE Trans. Signal Process., 2012)

Kernel recurrent system trained by real-time recurrent learning algorithm. - Pingping Zhu; José C. Príncipe (ICASSP, 2013)

A parameter-free kernel design based on cumulative distribution function for correntropy. - Jongmin Lee; Pingping Zhu; José C. Príncipe (IJCNN, 2013)

Analysis on extended kernel recursive least squares algorithm. - Pingping Zhu; José C. Príncipe (IJCNN, 2013)

Fixed budget quantized kernel least-mean-square algorithm. - Songlin Zhao; Badong Chen; Pingping Zhu; José C. Príncipe (Signal Process., 2013)

Quantized Kernel Recursive Least Squares Algorithm. - Badong Chen; Songlin Zhao; Pingping Zhu; José Carlos Príncipe (IEEE Trans. Neural Networks Learn. Syst., 2013)

Camera control for learning nonlinear target dynamics via Bayesian nonparametric Dirichlet-process Gaussian-process (DP-GP) models. - Hongchuan Wei; Wenjie Lu; Pingping Zhu; Silvia Ferrari; Robert H. Klein; Shayegan Omidshafiei; Jonathan P. How (IROS, 2014)

Optimized visibility motion planning for target tracking and localization. - Hongchuan Wei; Wenjie Lu; Pingping Zhu; Guoquan Huang 001; John J. Leonard; Silvia Ferrari (IROS, 2014)

A Fast Searching Approach for Top-k Partner Selection in Dynamic Alliances of Virtual Enterprises. - Bishan Ying; Pingping Zhu; Ye Gu (J. Comput., 2014)

Learning Nonlinear Generative Models of Time Series With a Kalman Filter in RKHS. - Pingping Zhu; Badong Chen; José C. Príncipe (IEEE Trans. Signal Process., 2014)

Multi-kernel probability distribution regressions. - Pingping Zhu; Hongchuan Wei; Wenjie Lu; Silvia Ferrari (IJCNN, 2015)

Obtain confidentiality or/and authenticity in Big Data by ID-based generalized signcryption. - Guiyi Wei; Jun Shao 001; Yang Xiang 001; Pingping Zhu; Rongxing Lu (Inf. Sci., 2015)

Value function approximation for the control of multiscale dynamical systems. - Pingping Zhu; Julian Morelli; Silvia Ferrari (CDC, 2016)

Information value in nonparametric Dirichlet-process Gaussian-process (DPGP) mixture models. - Hongchuan Wei; Wenjie Lu; Pingping Zhu; Silvia Ferrari; Miao Liu 001; Robert H. Klein; Shayegan Omidshafiei; Jonathan P. How (Autom., 2016)

Self-organizing kernel adaptive filtering. - Songlin Zhao; Badong Chen; Zheng Cao; Pingping Zhu; José C. Príncipe (EURASIP J. Adv. Signal Process., 2016)

Deep learning feature extraction for target recognition and classification in underwater sonar images. - Pingping Zhu; Jason T. Isaacs; Bo Fu; Silvia Ferrari (CDC, 2017)

A Generalized Reduced Gradient Method for the Optimal Control of Very-Large-Scale Robotic Systems. - Keith Rudd; Greg Foderaro; Pingping Zhu; Silvia Ferrari (IEEE Trans. Robotics, 2017)

Random Finite Set Theory and Optimal Control for Large Spacecraft Swarms. - Bryce Doerr; Richard Linares; Pingping Zhu; Silvia Ferrari (CoRR, 2018)

Distributed Optimal Control of Sensor Networks for Dynamic Target Tracking. - Greg Foderaro; Pingping Zhu; Hongchuan Wei; Thomas A. Wettergren; Silvia Ferrari (IEEE Trans. Control. Netw. Syst., 2018)

Integrated Mapping and Path Planning for Very Large-Scale Robotic (VLSR) Systems. - Julian Morelli; Pingping Zhu; Bryce Doerr; Richard Linares; Silvia Ferrari (ICRA, 2019)

Scalable Gas Sensing, Mapping, and Path Planning via Decentralized Hilbert Maps. - Pingping Zhu; Silvia Ferrari; Julian Morelli; Richard Linares; Bryce Doerr (Sensors, 2019)

Automatic Pan-Tilt Camera Control for Learning Dirichlet Process Gaussian Process (DPGP) Mixture Models of Multiple Moving Targets. - Hongchuan Wei; Pingping Zhu; Miao Liu 001; Jonathan P. How; Silvia Ferrari (IEEE Trans. Autom. Control., 2019)

Oriented Pedestrian Social Interaction Modeling and Inference. - Junyi Dong; Pingping Zhu; Silvia Ferrari (ACC, 2020)

A Random Finite Set Sensor Control Approach for Vision-based Multi-object Search-While-Tracking. - Keith A. LeGrand; Pingping Zhu; Silvia Ferrari (FUSION, 2021)

Defending against Flooding Attacks in the Internet of Drones Environment. - Cong Pu; Pingping Zhu (GLOBECOM, 2021)

Adaptive Online Distributed Optimal Control of Very-Large-Scale Robotic Systems. - Pingping Zhu; Chang Liu 002; Silvia Ferrari (IEEE Trans. Control. Netw. Syst., 2021)

A Relative Spike-Timing Approach to Kernel-Based Decoding Demonstrated for Insect Flight Experiments. - Hengye Yang; Joy Putney; Usama Bin Sikandar; Pingping Zhu; Simon Sponberg; Silvia Ferrari (IJCNN, 2022)

Kernel Nonlinear Dynamic System Identification Based on Expectation-Maximization Method. - Pingping Zhu; José C. Príncipe (IJCNN, 2022)

Mitigating Routing Misbehavior in the Internet of Drones Environment. - Cong Pu; Pingping Zhu (VTC Spring, 2022)

Risk-Aware Motion Planning for Very-Large-Scale Robotics Systems Using Conditional Value-at-Risk. - Xuru Yang; Han Gao; Pingping Zhu; Chang Liu (ICIRA (7), 2023)

Cell Multi-Bernoulli (Cell-MB) Sensor Control for Multi-Object Search-While-Tracking (SWT). - Keith A. LeGrand; Pingping Zhu; Silvia Ferrari (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

A Novel Multivariate Skew-Normal Mixture Model and Its Application in Path-Planning for Very-Large-Scale Robotic Systems. - Pingping Zhu; Chang Liu; Peter Estephan (ACC, 2024)

SwarmPRM: Probabilistic Roadmap Motion Planning for Large-Scale Swarm Robotic Systems. - Yunze Hu; Xuru Yang; Kangjie Zhou; Qinghang Liu; Kang Ding; Han Gao; Pingping Zhu; Chang Liu (IROS, 2024)

Risk-Aware Non-Myopic Motion Planner for Large-Scale Robotic Swarm Using CVaR Constraints. - Xuru Yang; Yunze Hu; Han Gao; Kang Ding; Zhaoyang Li; Pingping Zhu; Ying Sun; Chang Liu (IROS, 2024)

SwarmPRM: Probabilistic Roadmap Motion Planning for Swarm Robotic Systems. - Yunze Hu; Xuru Yang; Kangjie Zhou; Qinghang Liu; Kang Ding; Han Gao; Pingping Zhu; Chang Liu (CoRR, 2024)

Heuristic satisficing inferential decision making in human and robot active perception. - Yucheng Chen; Pingping Zhu; Anthony Alers; Tobias Egner; Marc A. Sommer; Silvia Ferrari (Frontiers Robotics AI, 2024)

SwarmCVT: Centroidal Voronoi Tessellation-Based Path Planning for Very-Large-Scale Robotics. - James Gao; Jacob Lee; Yuting Zhou; Yunze Hu; Chang Liu; Pingping Zhu (ACC, 2025)

A YOLO-Based Semi-Automated Labeling Approach to Improve Fault Detection Efficiency in Railroad Videos. - Dylan Lester; James Gao; Samuel Sutphin; Pingping Zhu; Husnu Narman; Ammar Alzarrad (CoRR, 2025)