Yuru Pei — accepted AI-conference papers

2026

GaussianFluent: Gaussian Simulation for Dynamic Scenes with Mixed Materials

Bei Huang, Yixin Chen, Ruijie Lu, Gang Zeng, Hongbin Zha, Yuru Pei +1

CVPR 2026

3D Gaussian Splatting (3DGS) has emerged as a prominent 3D representation for high-fidelity and real-time rendering. Prior work has coupled physics simulation with Gaussians, but predominantly targets soft, deformable materials, leaving brittle fracture largely unresolved. This stems from two key ob

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2025

SCCS: Deep Neural Spectral Clustering for Self-Supervised Subcellular Structure Segmentation

Jimao Jiang, Diya Sun, Tianbing Wang, Yuru Pei

AAAI 2025technical

Subcellular structure segmentation is a fundamental task in biological imaging. Existing self-supervised representation learning combined with classical k-means clustering achieved unsupervised image segmentation, but it was constrained by time-consuming test-time pixel-wise feature extraction and c…

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