Zhongyu Li

Graph Neural Networks for the Cross-Domain Histopathological Image Classification

2021

Annotating histopathological images is generally a time-consuming and labor-intensive process, which requires broad-certificated pathologists carefully examining large-scale and multi-modal images pixel by pixel. Recent frontiers of transfer learning techniques have been widely investigated for image …

RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks

2022 · arXiv (Cornell University)

Temporal/spatial receptive fields of models play an important role in sequential/spatial tasks. Large receptive fields facilitate long-term relations, while small receptive fields help to capture the local details. Existing methods construct models with hand-designed receptive …