Hierarchical Convolutional Attention Networks for Text Classification. - Shang Gao 008; Arvind Ramanathan; Georgia D. Tourassi (Rep4NLP@ACL, 2018)

Deep clustering of protein folding simulations. - Debsindhu Bhowmik; Shang Gao 008; Michael T. Young; Arvind Ramanathan (BMC Bioinform., 2018)

Hierarchical attention networks for information extraction from cancer pathology reports. - Shang Gao 008; Michael T. Young; John X. Qiu; Hong-Jun Yoon; James Blair Christian; Paul A. Fearn; Georgia D. Tourassi; Arvind Ramanathan (J. Am. Medical Informatics Assoc., 2018)

Deep Transfer Learning Across Cancer Registries for Information Extraction from Pathology Reports. - Mohammed M. Alawad; Shang Gao 008; 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; et al. (BHI, 2019)

Semi-Supervised Information Extraction for Cancer Pathology Reports. - John X. Qiu; Shang Gao 008; Mohammed M. Alawad; Noah Schaefferkoetter; Folami Alamudun; Hong-Jun Yoon; Xiao-Cheng Wu; Georgia D. Tourassi (BHI, 2019)

Model-based Hyperparameter Optimization of Convolutional Neural Networks for Information Extraction from Cancer Pathology Reports on HPC. - Hong-Jun Yoon; John Gounley; Shang Gao 008; Mohammed M. Alawad; Arvind Ramanathan; Georgia D. Tourassi (BHI, 2019)

Adversarial Training for Privacy-Preserving Deep Learning Model Distribution. - Mohammed M. Alawad; Shang Gao 008; Xiao-Cheng Wu; Eric B. Durbin; Linda Coyle; Lynne Penberthy; Georgia D. Tourassi (IEEE BigData, 2019)

Classifying cancer pathology reports with hierarchical self-attention networks. - Shang Gao 008; 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; et al. (Artif. Intell. Medicine, 2019)

Automatic extraction of cancer registry reportable information from free-text pathology reports using multitask convolutional neural networks. - Mohammed M. Alawad; Shang Gao 008; 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)

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 008; Eric B. Durbin; Xiao-Cheng Wu; Antoinette Stroup; Jennifer A. Doherty; Linda Coyle; Lynne Penberthy; James Blair Christian; et al. (J. Biomed. Informatics, 2020)

Diagnosing autonomous vehicle driving criteria with an adversarial evolutionary algorithm. - Mark A. Coletti; Shang Gao 008; Spencer Paulissen; Nicholas Quentin Haas; Robert M. Patton (GECCO Companion, 2021)

Quantitative Evaluation of Autonomous Driving in CARLA. - Shang Gao 008; Spencer Paulissen; Mark Coletti; Robert M. Patton (IV Workshops, 2021)

Deep active learning for classifying cancer pathology reports. - Kevin De Angeli; Shang Gao 008; 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)

Integration of Domain Knowledge using Medical Knowledge Graph Deep Learning for Cancer Phenotyping. - Mohammed M. Alawad; Shang Gao 008; 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)

Privacy-Preserving Deep Learning NLP Models for Cancer Registries. - Mohammed M. Alawad; Hong-Jun Yoon; Shang Gao 008; 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)

Limitations of Transformers on Clinical Text Classification. - Shang Gao 008; 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)

Language models for the prediction of SARS-CoV-2 inhibitors. - Andrew E. Blanchard; John Gounley; Debsindhu Bhowmik; Mayanka Chandra Shekar; Isaac Lyngaas; Shang Gao 008; Junqi Yin; Aristeidis Tsaris; Feiyi Wang; Jens Glaser (Int. J. High Perform. Comput. Appl., 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 008; Ioana Danciu; Eric B. Durbin; Xiao-Cheng Wu; Antoinette Stroup; Jennifer A. Doherty; Stephen M. Schwartz; Charles Wiggins; Mark Damesyn; Linda Coyle; Lynne Penberthy; et al. (J. Biomed. Informatics, 2022)

Automating Genetic Algorithm Mutations for Molecules Using a Masked Language Model. - Andrew E. Blanchard; Mayanka Chandra Shekar; Shang Gao 008; John Gounley; Isaac Lyngaas; Jens Glaser; Debsindhu Bhowmik (IEEE Trans. Evol. Comput., 2022)

A Keyword-Enhanced Approach to Handle Class Imbalance in Clinical Text Classification. - Andrew E. Blanchard; Shang Gao 008; 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; et al. (IEEE J. Biomed. Health Informatics, 2022)

Deep learning uncertainty quantification for clinical text classification. - Alina Peluso; Ioana Danciu; Hong-Jun Yoon; Jamaludin Mohd-Yusof; Tanmoy Bhattacharya 001; Adam Spannaus; Noah Schaefferkoetter; Eric B. Durbin; Xiao-Cheng Wu; Antoinette Stroup; Jennifer A. Doherty; Stephen M. Schwartz; et al. (J. Biomed. Informatics, 2024)

Attention Mechanisms in Clinical Text Classification: A Comparative Evaluation. - Christoph S. Metzner; Shang Gao 008; Drahomira Herrmannova; Elia Lima-Walton; Heidi A. Hanson (IEEE J. Biomed. Health Informatics, 2024)

Can human clinical rationales improve the performance and explainability of clinical text classification models? - Christoph Metzner; Shang Gao 008; Drahomira Herrmannova; Heidi A. Hanson (CoRR, 2025)