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Mu-Heng Li

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#artificial intelligence Preprint Oct 2026

GAV: A scientific experimentation environment for PDE agents

Generator-Agent-Verifier (GAV), a scientific experimentation environment that makes new PDE problems verifiable by construction verifiable by construction, is introduced and a theoretical analysis of evaluation reliability and guided development is provided.

Mu-Heng Li, Wen-Long Mou · 0 citations
Sep 2026

High-Fidelity Implicit Text-to-Shape Generation with Voxelized Diffusion

Experimental results show that Diffusion-SDF is capable of generating both high-quality and highly diversified 3D shapes that conform well to the given text descriptions, and Diffusion-SDF++ further outperforms Diffusion-SDF with more precise shape details due to the adaptive voxelization strategy.

Yue-Qi Duan, Fang-Fu Liu, Han-Yang Wang et al. · 0 citations

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