Xiao-Cheng Wu

According to our database, Xiao-Cheng Wu authored at least 19 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Development of message passing-based graph convolutional networks for classifying cancer pathology reports.

Hong-Jun Yoon, Hilda B. Klasky, Andrew E. Blanchard, James Blair Christian, Eric B. Durbin, Xiao-Cheng Wu, Antoinette Stroup, Jennifer A. Doherty, Linda Coyle, Lynne Penberthy, Georgia D. Tourassi

BMC Medical Informatics Decis. Mak., December, 2024

Deep learning uncertainty quantification for clinical text classification.

Alina Peluso, Ioana Danciu, Hong-Jun Yoon, Jamaludin Mohd-Yusof, Tanmoy Bhattacharya, Adam Spannaus, Noah Schaefferkoetter, Eric B. Durbin, Xiao-Cheng Wu, Antoinette Stroup, Jennifer A. Doherty, Stephen M. Schwartz, Charles Wiggins, Linda Coyle, Lynne Penberthy, Georgia D. Tourassi, Shang Gao

J. Biomed. Informatics, January, 2024

2022

A Keyword-Enhanced Approach to Handle Class Imbalance in Clinical Text Classification.

Andrew E. Blanchard, Shang Gao, Hong-Jun Yoon, James Blair Christian, Eric B. Durbin, Xiao-Cheng Wu, Antoinette Stroup, Jennifer A. Doherty, Stephen M. Schwartz, Charles Wiggins, Linda Coyle, Lynne Penberthy, Georgia D. Tourassi

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.

Kevin De Angeli, Shang Gao, Ioana Danciu, Eric B. Durbin, Xiao-Cheng Wu, Antoinette Stroup, Jennifer A. Doherty, Stephen M. Schwartz, Charles Wiggins, Mark Damesyn, Linda Coyle, Lynne Penberthy, Georgia D. Tourassi, Hong-Jun Yoon

J. Biomed. Informatics, 2022

2021

Limitations of Transformers on Clinical Text Classification.

Shang Gao, Mohammed M. Alawad, M. Todd Young, John Gounley, Noah Schaefferkoetter, Hong-Jun Yoon, Xiao-Cheng Wu, Eric B. Durbin, Jennifer A. Doherty, Antoinette Stroup, Linda Coyle, Georgia D. Tourassi

IEEE J. Biomed. Health Informatics, 2021

Privacy-Preserving Deep Learning NLP Models for Cancer Registries.

Mohammed M. Alawad, Hong-Jun Yoon, Shang Gao, Brent J. Mumphrey, Xiao-Cheng Wu, Eric B. Durbin, Jong Cheol Jeong, Isaac Hands, David Rust, Linda Coyle, Lynne Penberthy, Georgia D. Tourassi

IEEE Trans. Emerg. Top. Comput., 2021

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

Mohammed M. Alawad, Shang Gao, Mayanka Chandra Shekar, S. M. Shamimul Hasan, James Blair Christian, Xiao-Cheng Wu, Eric B. Durbin, Jennifer A. Doherty, Antoinette Stroup, Linda Coyle, Lynne Penberthy, Georgia D. Tourassi

CoRR, 2021

Deep active learning for classifying cancer pathology reports.

Kevin De Angeli, Shang Gao, Mohammed M. Alawad, Hong-Jun Yoon, Noah Schaefferkoetter, Xiao-Cheng Wu, Eric B. Durbin, Jennifer A. Doherty, Antoinette Stroup, Linda Coyle, Lynne Penberthy, Georgia D. Tourassi

BMC Bioinform., 2021

2020

Knowledge Graph-Enabled Cancer Data Analytics.

S. M. Shamimul Hasan, Donna R. Rivera, Xiao-Cheng Wu, Eric B. Durbin, James Blair Christian, Georgia D. Tourassi

IEEE J. Biomed. Health Informatics, 2020

Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports.

Hong-Jun Yoon, Hilda B. Klasky, John P. Gounley, Mohammed M. Alawad, Shang Gao, Eric B. Durbin, Xiao-Cheng Wu, Antoinette Stroup, Jennifer A. Doherty, Linda Coyle, Lynne Penberthy, James Blair Christian, Georgia D. Tourassi

J. Biomed. Informatics, 2020

Automatic extraction of cancer registry reportable information from free-text pathology reports using multitask convolutional neural networks.

Mohammed M. Alawad, Shang Gao, John X. Qiu, Hong-Jun Yoon, James Blair Christian, Lynne Penberthy, Brent J. Mumphrey, Xiao-Cheng Wu, Linda Coyle, Georgia D. Tourassi

J. Am. Medical Informatics Assoc., 2020

Privacy-Preserving Knowledge Transfer with Bootstrap Aggregation of Teacher Ensembles.

Hong-Jun Yoon, Hilda B. Klasky, Eric B. Durbin, Xiao-Cheng Wu, Antoinette Stroup, Jennifer A. Doherty, Linda Coyle, Lynne Penberthy, Christopher B. Stanley, James Blair Christian, Georgia D. Tourassi

Proceedings of the Heterogeneous Data Management, Polystores, and Analytics for Healthcare, 2020

2019

Classifying cancer pathology reports with hierarchical self-attention networks.

Shang Gao, John X. Qiu, Mohammed M. Alawad, Jacob D. Hinkle, Noah Schaefferkoetter, Hong-Jun Yoon, James Blair Christian, Paul A. Fearn, Lynne Penberthy, Xiao-Cheng Wu, Linda Coyle, Georgia D. Tourassi, Arvind Ramanathan

Artif. Intell. Medicine, 2019

Adversarial Training for Privacy-Preserving Deep Learning Model Distribution.

Mohammed M. Alawad, Shang Gao, Xiao-Cheng Wu, Eric B. Durbin, Linda Coyle, Lynne Penberthy, Georgia D. Tourassi

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Semi-Supervised Information Extraction for Cancer Pathology Reports.

John X. Qiu, Shang Gao, Mohammed M. Alawad, Noah Schaefferkoetter, Folami Alamudun, Hong-Jun Yoon, Xiao-Cheng Wu, Georgia D. Tourassi

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.

S. M. Shamimul Hasan, Donna R. Rivera, Xiao-Cheng Wu, James Blair Christian, Georgia D. Tourassi

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.

Mohammed M. Alawad, Shang Gao, John X. Qiu, Noah Schaefferkoetter, Jacob D. Hinkle, Hong-Jun Yoon, James Blair Christian, Xiao-Cheng Wu, Eric B. Durbin, Jong Cheol Jeong, Isaac Hands, David Rust, Georgia D. Tourassi

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.

John X. Qiu, Hong-Jun Yoon, Kshitij Srivastava, Thomas P. Watson, James Blair Christian, Arvind Ramanathan, Xiao-Cheng Wu, Paul A. Fearn, Georgia D. Tourassi

BMC Bioinform., 2018

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

Nicolas W. Hengartner, Leticia Cuellar, Xiao-Cheng Wu, Georgia D. Tourassi, John X. Qiu, James Blair Christian, Tanmoy Bhattacharya

BMC Bioinform., 2018