Xiao-Cheng Wu

Orcid: 0000-0003-3663-5027

According to our database1, Xiao-Cheng Wu authored at least 18 papers between 2018 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Deep learning uncertainty quantification for clinical text classification.
J. Biomed. Informatics, January, 2024

2022
A Keyword-Enhanced Approach to Handle Class Imbalance in Clinical Text Classification.
IEEE J. Biomed. Health Informatics, 2022

Class imbalance in out-of-distribution datasets: Improving the robustness of the TextCNN for the classification of rare cancer types.
J. Biomed. Informatics, 2022

2021
Limitations of Transformers on Clinical Text Classification.
IEEE J. Biomed. Health Informatics, 2021

Privacy-Preserving Deep Learning NLP Models for Cancer Registries.
IEEE Trans. Emerg. Top. Comput., 2021

Integration of Domain Knowledge using Medical Knowledge Graph Deep Learning for Cancer Phenotyping.
CoRR, 2021

Deep active learning for classifying cancer pathology reports.
BMC Bioinform., 2021

2020
Knowledge Graph-Enabled Cancer Data Analytics.
IEEE J. Biomed. Health Informatics, 2020

Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports.
J. Biomed. Informatics, 2020

Automatic extraction of cancer registry reportable information from free-text pathology reports using multitask convolutional neural networks.
J. Am. Medical Informatics Assoc., 2020

Privacy-Preserving Knowledge Transfer with Bootstrap Aggregation of Teacher Ensembles.
Proceedings of the Heterogeneous Data Management, Polystores, and Analytics for Healthcare, 2020

2019
Classifying cancer pathology reports with hierarchical self-attention networks.
Artif. Intell. Medicine, 2019

Adversarial Training for Privacy-Preserving Deep Learning Model Distribution.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Semi-Supervised Information Extraction for Cancer Pathology Reports.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

A Knowledge Graph Approach for the Secondary Use of Cancer Registry Data.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

Deep Transfer Learning Across Cancer Registries for Information Extraction from Pathology Reports.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2018
Scalable deep text comprehension for Cancer surveillance on high-performance computing.
BMC Bioinform., 2018

CAT: computer aided triage improving upon the Bayes risk through ε-refusal triage rules.
BMC Bioinform., 2018


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