Yonghang Guan — accepted AI-conference papers

2025

Ensembling Diffusion Models via Adaptive Feature Aggregation

Cong Wang, Kuan Tian, Yonghang Guan, Fei Shen, Zhiwei Jiang, Qing Gu +1

ICLR 2025poster

The success of the text-guided diffusion model has inspired the development and release of numerous powerful diffusion models within the open-source community. These models are typically fine-tuned on various expert datasets, showcasing diverse denoising capabilities. Leveraging multiple high-qualit…

Cited by 10 Source ↗PDF ↗code ↗Scholar ↗

2022

Node-Aligned Graph Convolutional Network for Whole-Slide Image Representation and Classification

Yonghang Guan, Jun Zhang, Kuan Tian, Sen Yang, Pei Dong, Jinxi Xiang +4

CVPR 2022oral

The large-scale whole-slide images (WSIs) facilitate the learning-based computational pathology methods. However, the gigapixel size of WSIs makes it hard to train a conventional model directly. Current approaches typically adopt multiple-instance learning (MIL) to tackle this problem. Among them, M…

Cited by 71 PDF ↗code ↗Scholar ↗