1 citations · 1 across the 4 of their papers we have counts for
4 papers
From Histopathology Images to Cell Clouds: Learning Slide Representations with Hierarchical Cell Transformer
Zijiang Yang, Zhongwei Qiu, Tiancheng Lin +13
It is clinically crucial and potentially very beneficial to be able to analyze and model directly the spatial distributions of cells in histopathology whole slide images (WSI). How…
Taylor-Sensus Network: Embracing Noise to Enlighten Uncertainty for Scientific Data
Guangxuan Song, Dongmei Fu, Zhongwei Qiu +2
Uncertainty estimation is crucial in scientific data for machine learning. Current uncertainty estimation methods mainly focus on the model's inherent uncertainty, while neglecting…
Multi-scale Contrastive Adaptor Learning for Segmenting Anything in Underperformed Scenes
Ke Zhou, Zhongwei Qiu, Dongmei Fu
Foundational vision models, such as the Segment Anything Model (SAM), have achieved significant breakthroughs through extensive pre-training on large-scale visual datasets. Despite…
Bridging the Semantic-Numerical Gap: A Numerical Reasoning Method of Cross-modal Knowledge Graph for Material Property Prediction
Guangxuan Song, Dongmei Fu, Zhongwei Qiu +4
Using machine learning (ML) techniques to predict material properties is a crucial research topic. These properties depend on numerical data and semantic factors. Due to the limita…