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Li-Zhong Ding

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#artificial intelligence Preprint Sep 2026

PhysMAS: Physics-Grounded Multi-Agent Synthesis of Compositional 4D Gaussians

Efficient, fully automatic, and physically plausible 4D Gaussian synthesis is an important goal for dynamic scene generation. Recent physics-based methods couple 3D Gaussians with the Material Point Method (MPM) to generate physically driven motion, but extending this paradigm to heterogeneous multi-part objects and in...

Jiang Qin, Chun-Ji Lv, Yang-Guang Wei et al. · 0 citations
Aug 2026

Harnessing Multilevel Circulant Matrices for Generalizable Spectral Kernel Learning.

SpectraMancer, which learns kernels directly in the Fourier spectral domain induced by multilevel circulant matrices, thereby enabling generalizable kernel learning for complex data and improves spectrum-aware kernel selection and predictive performance across diverse benchmarks.

Li-Zhong Ding, Jiarun Fu, Qiuning Wei et al. · 0 citations

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