Fei Li

Orcid: 0000-0003-4895-7330

According to our database1, Fei Li authored at least 11 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Multitask joint strategies of self-supervised representation learning on biomedical networks for drug discovery.
Nat. Mac. Intell., April, 2023

DiffForward: On Balancing Forwarding Traffic for Modern Cloud Block Services via Differentiated Forwarding.
Proceedings of the Abstract Proceedings of the 2023 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2023

2022
Multi-task Joint Strategies of Self-supervised Representation Learning on Biomedical Networks for Drug Discovery.
CoRR, 2022

On Optimizing Traffic Imbalance in Large-scale Block-based Cloud Storage: Trace Analysis and Algorithm Design.
Proceedings of the 28th IEEE International Conference on Parallel and Distributed Systems, 2022

2021
Discriminant Projection Shared Dictionary Learning for Classification of Tumors Using Gene Expression Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

BioERP: biomedical heterogeneous network-based self-supervised representation learning approach for entity relationship predictions.
Bioinform., 2021

DeepR2cov: deep representation learning on heterogeneous drug networks to discover anti-inflammatory agents for COVID-19.
Briefings Bioinform., 2021

2020
A deep metric learning algorithm for similarity measure of the gene expression profile.
Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020

Efficiently recognition of vaginal micro-ecological environment based on Convolutional Neural Network.
Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020

A drug information embedding method based on graph convolution neural network.
Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020

2019
A General Fine-tuned Transfer Learning Model for Predicting Clinical Task Acrossing Diverse EHRs Datasets.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019


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