Qinglin Zhao — accepted AI-conference papers

2026

AD-GBC: Anisotropic Granular-Ball Skip-Connection Refiner for UNet-Based Medical Image Segmentation

CVPR 2026

Prototype or region-attention modules have recently improved medical image segmentation but still suffer from two fundamental limitations: 1) they represent each semantic concept as a point or isotropic region, failing to capture the inherently anisotropic geometry of real feature distributions; and

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2026

Hierarchical Schedule Optimization for Fast and Robust Diffusion Model Sampling

Aihua Zhu, Rui Su, Qinglin Zhao, Li Feng, Meng Shen, Shibo He

AAAI 2026technical

Diffusion probabilistic models have set a new standard for generative fidelity but are hindered by a slow iterative sampling process. A powerful training-free strategy to accelerate this process is Schedule Optimization, which aims to find an optimal distribution of timesteps for a fixed and small N

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