3D visual computing data are often spatially sparse. To exploit such sparsity, people have
developed hierarchical sparse data structures, such as multi-level sparse voxel grids …

Physical simulators have been widely used in robot planning and control. Among them,
differentiable simulators are particularly favored, as they can be incorporated into gradient …

In this paper, we introduce the Moving Least Squares Material Point Method (MLS-MPM).
MLS-MPM naturally leads to the formulation of Affine Particle-In-Cell (APIC)[Jiang et al …

A variety of structures in nature exhibit sparse, thin, and intricate features. It is challenging to
investigate these structural characteristics using conventional numerical approaches since …

Spatially and temporally adaptive algorithms can substantially improve the computational
efficiency of many numerical schemes in computational mechanics and physics‐based …

Numerical analyses for the post-failure behaviors of soil-rock mixture (SRM) slope often
encounter the difficulties of reconstructing the highly heterogenous soil-rock structures. The …

Advancements in additive manufacturing have enabled design and fabrication of materials
and structures not previously realizable. In particular, the design space of composite …

We introduce a novel system and technique for materialising the deformable shapes of
sound-resonance on 3D objects. This technical framework presents a novel approach using …

Multidisciplinary design optimization has immense potential to improve conceptual design
workflows for large-scale engineered systems, such as aircraft. However, despite …

Cell instance segmentation in microscopy images is a challenging task. The morphological
differences between different types of cells are significant, it is difficult to distinguish the …