Kai Sun
Orcid: 0000-0002-2533-5937Affiliations:
- Imperial College London, UK (PhD 2014)
According to our database1,
Kai Sun
authored at least 17 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
2014
2016
2018
2020
2022
2024
0
1
2
3
4
5
1
1
1
4
2
1
1
1
3
1
1
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
The potential and pitfalls of using a large language model such as ChatGPT, GPT-4, or LLaMA as a clinical assistant.
J. Am. Medical Informatics Assoc., 2024
2023
The Potential and Pitfalls of using a Large Language Model such as ChatGPT or GPT-4 as a Clinical Assistant.
CoRR, 2023
2021
A blockchain-based trust system for decentralised applications: When trustless needs trust.
Future Gener. Comput. Syst., 2021
OmiEmbed: reconstruct comprehensive phenotypic information from multi-omics data using multi-task deep learning.
CoRR, 2021
Privacy preservation in federated learning: An insightful survey from the GDPR perspective.
Comput. Secur., 2021
XOmiVAE: an interpretable deep learning model for cancer classification using high-dimensional omics data.
Briefings Bioinform., 2021
2020
IEEE Trans. Inf. Forensics Secur., 2020
CoRR, 2020
2019
Proceedings of the 18th IEEE International Symposium on Network Computing and Applications, 2019
Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer Classification.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Unsupervised Annotation of Phenotypic Abnormalities via Semantic Latent Representations on Electronic Health Records.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
A computational framework for complex disease stratification from multiple large-scale datasets.
BMC Syst. Biol., 2018
2017
eTRIKS analytical environment: A modular high performance framework for medical data analysis.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
2016
Proceedings of the Machine Learning for Health Informatics, 2016
2014
PhD thesis, 2014
BMC Bioinform., 2014
2013
Bioinform., 2013