Zhimin Jiang — accepted AI-conference papers

2025

Efficient Fine-Grained Guidance for Diffusion Model Based Symbolic Music Generation

Tingyu Zhu, Haoyu Liu, Ziyu Wang, Zhimin Jiang, Zeyu Zheng

ICML 2025poster

Developing generative models to create or conditionally create symbolic music presents unique challenges due to the combination of limited data availability and the need for high precision in note pitch. To address these challenges, we introduce an efficient Fine-Grained Guidance (FGG) approach with…

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2022

Harnessing Cascading Dominoes for Peristaltic Wave Motion

Yichao Shi, Zhimin Jiang, James H. Pikul

RA-L 2022

Organisms have evolved many simple yet effective muscular movements. Of these, peristaltic wave motion is among the most prolific and can be found across organism scales and in a variety of organs that transport objects or provide locomotion. Several robotic platforms have mimicked peristaltic movem

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