Fei Li

Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging pdf

Tom Vercauteren, Paul Suetens, Dirk Vandermeulen, 2020, ArXiv.

Network Representation Learning-Based Drug Mechanism Discovery and Anti-Inflammatory Response Against COVID-19

Kenli Li, Zhijian Xu, Shaoliang Peng, 2021 .

Network Representation Learning-Based Drug Mechanism Discovery and Anti-Inflammatory Response Against COVID-19

Kenli Li, Zhijian Xu, Shaoliang Peng, 2020 .

Multitask joint strategies of self-supervised representation learning on biomedical networks for drug discovery

Yaning Yang, Yue Yu, Shaoliang Peng, 2022, Nature Machine Intelligence.

Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging

Sebasti'an Amador S'anchez, Jonathan Cheung-Wai Chana, T. Vercauteren, 2020, ArXiv.

DeepR2cov: deep representation learning on heterogeneous drug networks to discover anti-inflammatory agents for COVID-19

Kenli Li, Zhijian Xu, Shaoliang Peng, 2021, Briefings Bioinform..

Efficiently recognition of vaginal micro-ecological environment based on Convolutional Neural Network

Minxia Cheng, Yaning Yang, Shaoliang Peng, 2021, 2020 IEEE International Conference on E-health Networking, Application & Services (HEALTHCOM).

A General Fine-tuned Transfer Learning Model for Predicting Clinical Task Acrossing Diverse EHRs Datasets

Fei Li, Xiaoqi Wang, Shaoliang Peng, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

BioERP: biomedical heterogeneous network-based self-supervised representation learning approach for entity relationship predictions

Kenli Li, Xiaoqi Wang, Yaning Yang, 2021, Bioinform..