3 papers
cs.LG2025
Efficient Over-parameterized Matrix Sensing from Noisy Measurements via Alternating Preconditioned Gradient Descent
Zhiyu Liu, Zhi Han, Yandong Tang +2
We consider the noisy matrix sensing problem in the over-parameterization setting, where the estimated rank is larger than the true rank of the target matrix $X_\star…
cs.LG2025
Low-Tubal-Rank Tensor Recovery via Factorized Gradient Descent
Zhiyu Liu, Zhi Han, Yandong Tang +2
This paper considers the problem of recovering a tensor with an underlying low-tubal-rank structure from a small number of corrupted linear measurements. Traditional approaches tac…
cs.RO2024
CAD-Mesher: A Convenient, Accurate, Dense Mesh-based Mapping Module in SLAM for Dynamic Environments
Yanpeng Jia, Fengkui Cao, Ting Wang +3
Most LiDAR odometry and SLAM systems construct maps in point clouds, which are discrete and sparse when zoomed in, making them not directly suitable for navigation. Mesh maps repre…