Hong-Jun Yoon - RankMe

55 papers A 1B 4Misc 1Journal 21Unranked 28

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	OFCnetLLM: Large Language Model for Network Monitoring and Alertness. CoRR Hong-Jun Yoon, Mariam Kiran, Danial Ebling, Joe Breen
2025	A	`conf`	ORBIT-2: Scaling Exascale Vision Foundation Models for Weather and Climate Downscaling. SC Xiao Wang, Jong-Youl Choi, Takuya Kurihana, Isaac Lyngaas, Hong-Jun Yoon, Xi Xiao, David Pugmire, Ming Fan, Nasik Muhammad Nafi, Aristeidis Tsaris, Ashwin M. Aji, Maliha Hossain, Mohamed Wahib, Dali Wang, Peter E. Thornton, Prasanna Balaprakash, Moetasim Ashfaq, Dan Lu
2025	J	`jnl`	ORBIT-2: Scaling Exascale Vision Foundation Models for Weather and Climate Downscaling. CoRR Xiao Wang, Jong-Youl Choi, Takuya Kurihana, Isaac Lyngaas, Hong-Jun Yoon, Ming Fan, Nasik Muhammad Nafi, Aristeidis Tsaris, Ashwin M. Aji, Maliha Hossain, Mohamed Wahib, Dali Wang, Peter E. Thornton, Prasanna Balaprakash, Moetasim Ashfaq, Dan Lu
2025	J	`jnl`	Scaling Open-Weight Large Language Models for Hydropower Regulatory Information Extraction: A Systematic Analysis. CoRR Hong-Jun Yoon, Faisal Ashraf, Tom Ruggles, Debjani Singh
2024	B	`conf`	A Decision Support System to Compile Environmental Mitigations from Hydropower Licensing Documents. IEEE Big Data Hong-Jun Yoon, Tom Ruggles, Huanhuan Zhao, Debjani Singh
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
2024	J	`jnl`	Development of message passing-based graph convolutional networks for classifying cancer pathology reports. BMC Medical Informatics Decis. Mak. 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
2024	J	`jnl`	Enhancing Diagnosis through AI-driven Analysis of Reflectance Confocal Microscopy. CoRR Hong-Jun Yoon, Chris Keum, Alexander Witkowski, Joanna Ludzik, Tracy Petrie, Heidi A. Hanson, Sancy A. Leachman
2023	—	`conf`	A comparison of histopathology imaging comprehension algorithms based on multiple instance learning. Digital and Computational Pathology Adam Saunders, Sajal Dash, Aristeidis Tsaris, Hong-Jun Yoon
2023	—	`conf`	Enhancing Text Classification Models with Generative AI-aided Data Augmentation. AITest Huanhuan Zhao, Haihua Chen, Hong-Jun Yoon
2023	—	`conf`	Scaling Resolution of Gigapixel Whole Slide Images Using Spatial Decomposition on Convolutional Neural Networks. PASC Aristeidis Tsaris, Joshua Romero, Thorsten Kurth, Jacob D. Hinkle, Hong-Jun Yoon, Feiyi Wang, Sajal Dash, Georgia D. Tourassi
2023	J	`jnl`	Ultra-Long Sequence Distributed Transformer. CoRR Xiao Wang, Isaac Lyngaas, Aristeidis Tsaris, Peng Chen, Sajal Dash, Mayanka Chandra Shekar, Tao Luo, Hong-Jun Yoon, Mohamed Wahib, John Gounley
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	—	`conf`	A Scalable Pipeline for Gigapixel Whole Slide Imaging Analysis on Leadership Class HPC Systems. IPDPS Workshops Sajal Dash, Benjamín Hernández, Aristeidis Tsaris, Folami T. Alamudun, Hong-Jun Yoon, Feiyi Wang
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	B	`conf`	Distilling Knowledge from Ensembles of Cluster-Constrained-Attention Multiple-Instance Learners for Whole Slide Image Classification. IEEE Big Data Folami Alamudun, Jacob D. Hinkle, Sajal Dash, Benjamín Hernández, Aristeidis Tsaris, Hong-Jun Yoon
2022	—	`conf`	Image transformers for classifying acute lymphoblastic leukemia. Computer-Aided Diagnosis Priscilla Cho, Sajal Dash, Aristeidis Tsaris, Hong-Jun Yoon
2021	—	`conf`	Creating a Tools Ecosystem for Cross-Discipline Environmental Data Reuse. IEEE BigData Jeremy Logan, Greeshma A. Agasthya, Heidi A. Hanson, Matthew Wolf, Heechan Lee, Shaheen Dewji, Hong-Jun Yoon, Anuj J. Kapadia
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	B	`conf`	Evaluation of U-net-based image segmentation model to digital mammography. Image Processing Priscilla Cho, Hong-Jun Yoon
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	B	`conf`	Secure Collaborative Environment for Seamless Sharing of Scientific Knowledge. SMC Srikanth B. Yoginath, Mathieu Doucet, Debsindhu Bhowmik, David Heise, Folami Alamudun, Hong-Jun Yoon, Christopher B. Stanley
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
2020	—	`conf`	Privacy-Preserving Knowledge Transfer with Bootstrap Aggregation of Teacher Ensembles. Poly/DMAH@VLDB 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
2020	—	`conf`	Survey of image denoising methods for medical image classification. Computer-Aided Diagnosis Peter F. Michael, Hong-Jun Yoon
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`	Computer-aided detection using non-convolutional neural network Gaussian processes. Computer-Aided Diagnosis Devanshu Agrawal, Hong-Jun Yoon, Georgia D. Tourassi, Jacob D. Hinkle
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`	Information Extraction from Cancer Pathology Reports with Graph Convolution Networks for Natural Language Texts. IEEE BigData Hong-Jun Yoon, John Gounley, M. Todd Young, Georgia D. Tourassi
2019	—	`conf`	Inverse Regression for Extraction of Tumor Site from Cancer Pathology Reports. BHI Abhishek Kumar Dubey, Hong-Jun Yoon, 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`	Selective Information Extraction Strategies for Cancer Pathology Reports with Convolutional Neural Networks. INNSBDDL Hong-Jun Yoon, John X. Qiu, James Blair Christian, Jacob D. Hinkle, Folami Alamudun, 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	—	`conf`	Coarse-to-fine multi-task training of convolutional neural networks for automated information extraction from cancer pathology reports. BHI Mohammed M. Alawad, Hong-Jun Yoon, Georgia D. Tourassi
2018	J	`jnl`	Deep Learning for Automated Extraction of Primary Sites From Cancer Pathology Reports. IEEE J. Biomed. Health Informatics John X. Qiu, Hong-Jun Yoon, Paul A. Fearn, Georgia D. Tourassi
2018	—	`conf`	Deep radiogenomics for predicting clinical phenotypes in invasive breast cancer. IWBI Hong-Jun Yoon, Arvind Ramanathan, Folami Alamudun, Georgia D. Tourassi
2018	—	`conf`	Filter pruning of Convolutional Neural Networks for text classification: A case study of cancer pathology report comprehension. BHI Hong-Jun Yoon, Sarah Robinson, James Blair Christian, John X. Qiu, 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
2018	J	`jnl`	Scalable deep text comprehension for Cancer surveillance on high-performance computing. BMC Bioinform. 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
2017	—	`conf`	Automated histologic grading from free-text pathology reports using graph-of-words features and machine learning. BHI Hong-Jun Yoon, Larry Roberts, Georgia D. Tourassi
2017	—	`conf`	Energy efficient stochastic-based deep spiking neural networks for sparse datasets. IEEE BigData Mohammed M. Alawad, Hong-Jun Yoon, Georgia D. Tourassi
2017	—	`conf`	Geometry and Gesture-Based Features from Saccadic Eye-Movement as a Biometric in Radiology. HCI (14) Folami T. Alamudun, Tracy Hammond, Hong-Jun Yoon, Georgia D. Tourassi
2016	J	`jnl`	A novel web informatics approach for automated surveillance of cancer mortality trends. J. Biomed. Informatics Georgia D. Tourassi, Hong-Jun Yoon, Songhua Xu
2016	—	`conf`	Investigating the association between sociodemographic factors and lung cancer risk using cyber informatics. BHI Hong-Jun Yoon, Georgia D. Tourassi
2016	—	`conf`	Multi-task Deep Neural Networks for Automated Extraction of Primary Site and Laterality Information from Cancer Pathology Reports. INNS Conference on Big Data Hong-Jun Yoon, Arvind Ramanathan, Georgia D. Tourassi
2016	—	`conf`	Predicting lung cancer incidence from air pollution exposures using shapelet-based time series analysis. BHI Hong-Jun Yoon, Songhua Xu, Georgia D. Tourassi
2016	—	`conf`	Shapelet analysis of pupil dilation for modeling visuo-cognitive behavior in screening mammography. Image Perception, Observer Performance, and Technology Assessment Folami Alamudun, Hong-Jun Yoon, Tracy Hammond, Kathy Hudson, Garnetta Morin-Ducote, Georgia D. Tourassi
2016	J	`jnl`	The utility of web mining for epidemiological research: studying the association between parity and cancer risk. J. Am. Medical Informatics Assoc. Georgia D. Tourassi, Hong-Jun Yoon, Songhua Xu, Xuesong Han
2015	—	`conf`	Residential Mobility and Lung Cancer Risk: Data-Driven Exploration Using Internet Sources. SBP Hong-Jun Yoon, Georgia D. Tourassi, Songhua Xu
2014	J	`jnl`	A user-oriented web crawler for selectively acquiring online content in e-health research. Bioinform. Songhua Xu, Hong-Jun Yoon, Georgia D. Tourassi
2014	Misc	`conf`	Extracting Patient Demographics and Personal Medical Information from Online Health Forums. AMIA Yang Liu, Songhua Xu, Hong-Jun Yoon, Georgia D. Tourassi
2011	—	`conf`	Cardinal Multiridgelet-based Prostate Cancer Histological Image Classification for Gleason Grading. BIBM Hong-Jun Yoon, Ching-Chung Li, Christhunesa Christudass, Robert Veltri, Jonathan I. Epstein, Zhen Zhang
2006	—	`conf`	A maximum likelihood method for estimating the parameters of a search model. ISBI Dev P. Chakraborty, Hong-Jun Yoon