8 citations · 18 across the 5 of their papers we have counts for
5 papers
Bubble Explorer: Fast UAV Exploration in Large-Scale and Cluttered 3D-Environments using Occlusion-Free Spheres
Benxu Tang, Yunfan Ren, Fangcheng Zhu +4
Autonomous exploration is a crucial aspect of robotics that has numerous applications. Most of the existing methods greedily choose goals that maximize immediate reward. This strat…
ROG-Map: An Efficient Robocentric Occupancy Grid Map for Large-scene and High-resolution LiDAR-based Motion Planning
Yunfan Ren, Yixi Cai, Fangcheng Zhu +2
Recent advances in LiDAR technology have opened up new possibilities for robotic navigation. Given the widespread use of occupancy grid maps (OGMs) in robotic motion planning, this…
A Double Regression Method for Graphical Modeling of High-dimensional Nonlinear and Non-Gaussian Data
Siqi Liang, Faming Liang
Graphical models have long been studied in statistics as a tool for inferring conditional independence relationships among a large set of random variables. The most existing works…
Nonlinear Sufficient Dimension Reduction with a Stochastic Neural Network
Siqi Liang, Yan Sun, Faming Liang
Sufficient dimension reduction is a powerful tool to extract core information hidden in the high-dimensional data and has potentially many important applications in machine learnin…
Interacting Contour Stochastic Gradient Langevin Dynamics
Wei Deng, Siqi Liang, Botao Hao +2
We propose an interacting contour stochastic gradient Langevin dynamics (ICSGLD) sampler, an embarrassingly parallel multiple-chain contour stochastic gradient Langevin dynamics (C…