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ORCIDShang Gao 0008
Person information
- affiliation: Oak Ridge National Laboratory, Computational Sciences and Engineering Division, Health Data Sciences Institute, TN, USA
- affiliation: University of Georgia, Athens, GA, USA
Other persons with the same name
- Shang Gao — disambiguation page
- Shang Gao 0001
![[0000-0002-1687-412X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-1687-412X")
— Jiangsu University of Science and Technology, School of Computer Science and Technology, Zhenjiang, China - Shang Gao 0002 — Örebro University, School of Business, Sweden (and 2 more)
- Shang Gao 0003 — Deakin University, School of Information Technology, Geelong, Australia
- Shang Gao 0004 — Nanjing University of Science and Technology, School of Mechanical Engineering, China (and 1 more)
- Shang Gao 0005 — Jilin University, College of Computer Science and Technology, Changchun, China (and 1 more)
- Shang Gao 0006 — Hong Kong Polytechnic University, Department of Computing, Kowloon, Hong Kong (and 2 more)
- Shang Gao 0007 — University of Oklahoma, School of Civil Engineering and Environmental Science, Hydrometeorology and Remote Sensing Laboratory, , Norman, OK, USA
- Shang Gao 0009 — Shanghai Jiao Tong University, School of Software, China
- Shang Gao 0010 — Beijing University of Technology, Faculty of Information Technology, China
- Shang Gao 0011 — Shandong University of Science and Technology, College of Electronic and Information Engineering, Qingdao, China
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Journal Articles
- 2024
[j14]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:
Deep learning uncertainty quantification for clinical text classification. J. Biomed. Informatics 149: 104576 (2024)- [j13]Christoph S. Metzner, Shang Gao, Drahomira Herrmannova, Elia Lima-Walton, Heidi A. Hanson:
Attention Mechanisms in Clinical Text Classification: A Comparative Evaluation. IEEE J. Biomed. Health Informatics 28(4): 2247-2258 (2024) - 2022
- [j12]Andrew E. Blanchard, John Gounley, Debsindhu Bhowmik, Mayanka Chandra Shekar, Isaac Lyngaas, Shang Gao, Junqi Yin, Aristeidis Tsaris, Feiyi Wang, Jens Glaser:
Language models for the prediction of SARS-CoV-2 inhibitors. Int. J. High Perform. Comput. Appl. 36(5-6): 587-602 (2022) - [j11]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:
Class imbalance in out-of-distribution datasets: Improving the robustness of the TextCNN for the classification of rare cancer types. J. Biomed. Informatics 125: 103957 (2022) - [j10]Andrew E. Blanchard, Mayanka Chandra Shekar, Shang Gao, John Gounley, Isaac Lyngaas, Jens Glaser, Debsindhu Bhowmik:
Automating Genetic Algorithm Mutations for Molecules Using a Masked Language Model. IEEE Trans. Evol. Comput. 26(4): 793-799 (2022) - [j9]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:
A Keyword-Enhanced Approach to Handle Class Imbalance in Clinical Text Classification. IEEE J. Biomed. Health Informatics 26(6): 2796-2803 (2022) - 2021
- [j8]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:
Deep active learning for classifying cancer pathology reports. BMC Bioinform. 22(1): 113 (2021) - [j7]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:
Privacy-Preserving Deep Learning NLP Models for Cancer Registries. IEEE Trans. Emerg. Top. Comput. 9(3): 1219-1230 (2021) - [j6]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:
Limitations of Transformers on Clinical Text Classification. IEEE J. Biomed. Health Informatics 25(9): 3596-3607 (2021) - 2020
- [j5]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:
Automatic extraction of cancer registry reportable information from free-text pathology reports using multitask convolutional neural networks. J. Am. Medical Informatics Assoc. 27(1): 89-98 (2020) - [j4]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:
Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports. J. Biomed. Informatics 110: 103564 (2020) - 2019
- [j3]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:
Classifying cancer pathology reports with hierarchical self-attention networks. Artif. Intell. Medicine 101 (2019) - 2018
- [j2]Debsindhu Bhowmik, Shang Gao, Michael T. Young, Arvind Ramanathan:
Deep clustering of protein folding simulations. BMC Bioinform. 19-S(18): 47-58 (2018) - [j1]Shang Gao, Michael T. Young, John X. Qiu, Hong-Jun Yoon, James Blair Christian, Paul A. Fearn, Georgia D. Tourassi, Arvind Ramanathan:
Hierarchical attention networks for information extraction from cancer pathology reports. J. Am. Medical Informatics Assoc. 25(3): 321-330 (2018)
Conference and Workshop Papers
- 2021
- [c7]Mark A. Coletti, Shang Gao, Spencer Paulissen, Nicholas Quentin Haas, Robert M. Patton:
Diagnosing autonomous vehicle driving criteria with an adversarial evolutionary algorithm. GECCO Companion 2021: 301-302 - [c6]Shang Gao, Spencer Paulissen, Mark Coletti, Robert M. Patton:
Quantitative Evaluation of Autonomous Driving in CARLA. IV Workshops 2021: 257-263 - 2019
- [c5]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:
Deep Transfer Learning Across Cancer Registries for Information Extraction from Pathology Reports. BHI 2019: 1-4 - [c4]John X. Qiu, Shang Gao, Mohammed M. Alawad, Noah Schaefferkoetter, Folami Alamudun, Hong-Jun Yoon, Xiao-Cheng Wu, Georgia D. Tourassi:
Semi-Supervised Information Extraction for Cancer Pathology Reports. BHI 2019: 1-4 - [c3]Hong-Jun Yoon, John Gounley, Shang Gao, Mohammed M. Alawad, Arvind Ramanathan, Georgia D. Tourassi:
Model-based Hyperparameter Optimization of Convolutional Neural Networks for Information Extraction from Cancer Pathology Reports on HPC. BHI 2019: 1-4 - [c2]Mohammed M. Alawad, Shang Gao, Xiao-Cheng Wu, Eric B. Durbin, Linda Coyle, Lynne Penberthy, Georgia D. Tourassi:
Adversarial Training for Privacy-Preserving Deep Learning Model Distribution. IEEE BigData 2019: 5705-5710 - 2018
- [c1]Shang Gao, Arvind Ramanathan, Georgia D. Tourassi:
Hierarchical Convolutional Attention Networks for Text Classification. Rep4NLP@ACL 2018: 11-23
Informal and Other Publications
- 2021
- [i1]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:
Integration of Domain Knowledge using Medical Knowledge Graph Deep Learning for Cancer Phenotyping. CoRR abs/2101.01337 (2021)
Coauthor Index
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