Shang Gao - RankMe

24 papers Journal 17Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deformable phrase level attention: A flexible approach for improving AI based medical coding. Artif. Intell. Medicine Christoph Metzner, Shang Gao, Drahomira Herrmannova, John Gounley, Heidi A. Hanson
2025	J	`jnl`	Can human clinical rationales improve the performance and explainability of clinical text classification models? CoRR Christoph Metzner, Shang Gao, Drahomira Herrmannova, Heidi A. Hanson
2024	J	`jnl`	Attention Mechanisms in Clinical Text Classification: A Comparative Evaluation. IEEE J. Biomed. Health Informatics Christoph S. Metzner, Shang Gao, Drahomira Herrmannova, Elia Lima-Walton, Heidi A. Hanson
2024	J	`jnl`	Deep learning uncertainty quantification for clinical text classification. J. Biomed. Informatics 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
2022	J	`jnl`	A Keyword-Enhanced Approach to Handle Class Imbalance in Clinical Text Classification. IEEE J. Biomed. Health Informatics 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
2022	J	`jnl`	Automating Genetic Algorithm Mutations for Molecules Using a Masked Language Model. IEEE Trans. Evol. Comput. Andrew E. Blanchard, Mayanka Chandra Shekar, Shang Gao, John Gounley, Isaac Lyngaas, Jens Glaser, Debsindhu Bhowmik
2022	J	`jnl`	Class imbalance in out-of-distribution datasets: Improving the robustness of the TextCNN for the classification of rare cancer types. J. Biomed. Informatics 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
2022	J	`jnl`	Language models for the prediction of SARS-CoV-2 inhibitors. Int. J. High Perform. Comput. Appl. Andrew E. Blanchard, John Gounley, Debsindhu Bhowmik, Mayanka Chandra Shekar, Isaac Lyngaas, Shang Gao, Junqi Yin, Aristeidis Tsaris, Feiyi Wang, Jens Glaser
2021	J	`jnl`	Deep active learning for classifying cancer pathology reports. BMC Bioinform. 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
2021	—	`conf`	Diagnosing autonomous vehicle driving criteria with an adversarial evolutionary algorithm. GECCO Companion Mark A. Coletti, Shang Gao, Spencer Paulissen, Nicholas Quentin Haas, Robert M. Patton
2021	J	`jnl`	Integration of Domain Knowledge using Medical Knowledge Graph Deep Learning for Cancer Phenotyping. CoRR 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
2021	J	`jnl`	Limitations of Transformers on Clinical Text Classification. IEEE J. Biomed. Health Informatics 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
2021	J	`jnl`	Privacy-Preserving Deep Learning NLP Models for Cancer Registries. IEEE Trans. Emerg. Top. Comput. 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
2021	—	`conf`	Quantitative Evaluation of Autonomous Driving in CARLA. IV Workshops Shang Gao, Spencer Paulissen, Mark Coletti, Robert M. Patton
2020	J	`jnl`	Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports. J. Biomed. Informatics 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
2020	J	`jnl`	Automatic extraction of cancer registry reportable information from free-text pathology reports using multitask convolutional neural networks. J. Am. Medical Informatics Assoc. 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
2019	—	`conf`	Adversarial Training for Privacy-Preserving Deep Learning Model Distribution. IEEE BigData Mohammed M. Alawad, Shang Gao, Xiao-Cheng Wu, Eric B. Durbin, Linda Coyle, Lynne Penberthy, Georgia D. Tourassi
2019	J	`jnl`	Classifying cancer pathology reports with hierarchical self-attention networks. Artif. Intell. Medicine 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
2019	—	`conf`	Deep Transfer Learning Across Cancer Registries for Information Extraction from Pathology Reports. BHI 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
2019	—	`conf`	Model-based Hyperparameter Optimization of Convolutional Neural Networks for Information Extraction from Cancer Pathology Reports on HPC. BHI Hong-Jun Yoon, John Gounley, Shang Gao, Mohammed M. Alawad, Arvind Ramanathan, Georgia D. Tourassi
2019	—	`conf`	Semi-Supervised Information Extraction for Cancer Pathology Reports. BHI John X. Qiu, Shang Gao, Mohammed M. Alawad, Noah Schaefferkoetter, Folami Alamudun, Hong-Jun Yoon, Xiao-Cheng Wu, Georgia D. Tourassi
2018	J	`jnl`	Deep clustering of protein folding simulations. BMC Bioinform. Debsindhu Bhowmik, Shang Gao, Michael T. Young, Arvind Ramanathan
2018	—	`conf`	Hierarchical Convolutional Attention Networks for Text Classification. Rep4NLP@ACL Shang Gao, Arvind Ramanathan, Georgia D. Tourassi
2018	J	`jnl`	Hierarchical attention networks for information extraction from cancer pathology reports. J. Am. Medical Informatics Assoc. Shang Gao, Michael T. Young, John X. Qiu, Hong-Jun Yoon, James Blair Christian, Paul A. Fearn, Georgia D. Tourassi, Arvind Ramanathan