no code implementations • 17 Mar 2023 • Yang-Fan Zhou, Kai-Lang Yao, Wu-Jun Li
A common weakness of these works is that they do not explicitly model the structural information among cells, which is a key feature of pathology images and provides significant information for making diagnoses.
no code implementations • 1 Mar 2023 • Kai-Lang Yao, Wu-Jun Li
To the best of our knowledge, AML is the first GNN-LP method adopting an asymmetric learning strategy for node representation learning.
no code implementations • 29 Sep 2021 • Kai-Lang Yao, Wu-Jun Li
Binary neural networks have become a promising research topic due to their fast inference speed and low energy consumption advantages.
no code implementations • 27 May 2019 • Kai-Lang Yao, Wu-Jun Li
Recommender systems (RS), which have been an essential part in a wide range of applications, can be formulated as a matrix completion (MC) problem.
no code implementations • 2 Mar 2018 • Kai-Lang Yao, Wu-Jun Li, Jianbo Yang, Xinyan Lu
Recently, geometric deep learning on graphs (GDLG) is proposed to solve the GMC problem, showing better performance than existing GMC methods including traditional graph regularization based methods.