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Jia-Ming Zhang

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#machine learning Preprint Sep 2026

Cache-Aware Conv3D Lowering Across Embedded World-Model Decoders

Generative world models can provide visual rollouts for embodied planning, yet their feasibility on edge devices depends not only on the learned model but also on how the execution runtime represents its operations. We introduce a cache-aware lowering that expresses supported causal Conv3D calls as batched spatial Conv...

Jia-Ming Zhang, Wu Yang, Shu-Han Tao et al. · 0 citations
Jul 2026

PI-Splatting: Perceptual Importance-guided Compression for Efficient Gaussian Splatting

3D Gaussian Splatting (3DGS) has recently emerged as a prominent paradigm for novel view synthesis due to its high-fidelity and real-time rendering capabilities. However, its explicit scene representation typically requires a large number of Gaussian primitives, leading to substantial storage overhead and significant r...

Hong-Bin Zhou, Jia-Ming Zhang, Zhang-Kai Ni · 0 citations
#artificial intelligence Preprint Sep 2026

In-Place Instruction Following in Diffusion Language Models

GRAFT, an IPP-oriented post-training framework combining constraint-aware SFT and preference optimization is proposed, an IPP-oriented post-training framework combining constraint-aware SFT and preference optimization that raises the average IIF score and preserves general generation ability.

Zheng Nie, Zhe-Rui Li, Jia-Ming Zhang et al. · 0 citations

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