John Gounley - RankMe

47 papers A 2B 1C 2Misc 2Journal 26Unranked 14

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
2026	J	`jnl`	Learning to Diagnose Privately: DP-Powered LLMs for Radiology Report Classification. IEEE Access Payel Bhattacharjee, Fengwei Tian, Geoffrey D. Rubin, Joseph Y. Lo, Nirav C. Merchant, Heidi A. Hanson, John Gounley, Ravi Tandon
2026	J	`jnl`	Resource-Adaptive Federated Text Generation with Differential Privacy. CoRR Jiayi Wang, John Gounley, Heidi A. Hanson
2025	J	`jnl`	A Perspective on Data and Privacy for AI in Healthcare [Industrial and Governmental Activities]. IEEE Comput. Intell. Mag. John Gounley, Heidi A. Hanson
2025	J	`jnl`	Adiabatic quantum support vector machines. Quantum Mach. Intell. Prasanna Date, Dong Jun Woun, Kathleen E. Hamilton, Eduardo Antonio Coello Pérez, Mayanka Chandrashekar, Francisco Rios, John Gounley, In-Saeng Suh, Travis S. Humble, Georgia D. Tourassi
2025	—	`conf`	CAFE AU LAIT: Compute-Aware Federated Augmented Low-Rank AI Training. PASC Jiayi Wang, John Gounley, Heidi A. Hanson
2025	—	`conf`	Data Assimilation for Robust UQ Within Agent-Based Simulation on HPC Systems. PASC Adam Spannaus, Sifat Afroj Moon, John Gounley, Heidi A. Hanson
2025	J	`jnl`	Learning to Diagnose Privately: DP-Powered LLMs for Radiology Report Classification. CoRR Payel Bhattacharjee, Fengwei Tian, Ravi Tandon, Joseph Y. Lo, Heidi A. Hanson, Geoffrey D. Rubin, Nirav C. Merchant, John Gounley
2025	—	`conf`	Multi-Label Classification with Constraint-Based Learning for Hierarchical Consistency. CAI Abhishek Shivanna, Heidi A. Hanson, John Gounley, Adam Spannaus
2025	J	`jnl`	Pixel-Resolved Long-Context Learning for Turbulence at Exascale: Resolving Small-scale Eddies Toward the Viscous Limit. CoRR Junqi Yin, Mijanur Palash, M. Paul Laiu, Muralikrishnan Gopalakrishnan Meena, John Gounley, Stephen M. de Bruyn Kops, Feiyi Wang, Ramanan Sankaran, Pei Zhang
2025	—	`conf`	Position-Enhanced Gradient Attack (PEGA) on Medical Language Models. MMAsia Nuo Xu, Christopher Stanley, John Gounley, Heidi A. Hanson, Chang Ge, Caiwen Ding
2024	J	`jnl`	Adiabatic Quantum Support Vector Machines. CoRR Prasanna Date, Dong Jun Woun, Kathleen E. Hamilton, Eduardo Antonio Coello Pérez, Mayanka Chandra Shekar, Francisco Rios, John Gounley, In-Saeng Suh, Travis S. Humble, Georgia D. Tourassi
2024	J	`jnl`	Enhancing molecular design efficiency: Uniting language models and generative networks with genetic algorithms. Patterns Debsindhu Bhowmik, Pei Zhang, Zachary R. Fox, Stephan Irle, John Gounley
2024	J	`jnl`	MATEY: multiscale adaptive foundation models for spatiotemporal physical systems. CoRR Pei Zhang, M. Paul Laiu, Matthew Norman, Doug Stefanski, John Gounley
2023	J	`jnl`	Adaptive language model training for molecular design. J. Cheminformatics Andrew E. Blanchard, Debsindhu Bhowmik, Zachary R. Fox, John Gounley, Jens Glaser, Belinda S. Akpa, Stephan Irle
2023	Misc	`conf`	Characterizing Quantum Classifier Utility in Natural Language Processing Workflows. QCE Kathleen E. Hamilton, Mayanka Chandra Shekar, John Gounley, Dhanvi Bharadwaj, Prasanna Date, Eduardo Antonio Coello Pérez, In-Saeng Suh, Georgia D. Tourassi
2023	J	`jnl`	DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. CoRR Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang, Conglong Li, Shiyang Chen, Chengming Zhang, Masahiro Tanaka, Xiaoxia Wu, Jeff Rasley, Ammar Ahmad Awan, Connor Holmes, Martin Cai, Adam Ghanem, Zhongzhu Zhou, Yuxiong He, Pete Luferenko, Divya Kumar, Jonathan A. Weyn, Ruixiong Zhang, Sylwester Klocek, Volodymyr Vragov, Mohammed AlQuraishi, Gustaf Ahdritz, Christina Floristean, Cristina Negri, Rao Kotamarthi, Venkatram Vishwanath, Arvind Ramanathan, Sam Foreman, Kyle Hippe, Troy Arcomano, Romit Maulik, Maxim Zvyagin, Alexander Brace, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael W. Irvin, J. Gregory Pauloski, Logan T. Ward, Valérie Hayot-Sasson, Murali Emani, Zhen Xie, Diangen Lin, Maulik Shukla, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Prasanna Balaprakash, Gina Tourassi, John Gounley, Heidi A. Hanson, Thomas E. Potok, Massimiliano Lupo Pasini, Kate Evans, Dan Lu, Dalton D. Lunga, Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar, Isaac Lyngaas, Xiao Wang, Guojing Cong, Pei Zhang, Ming Fan, Siyan Liu, Adolfy Hoisie, Shinjae Yoo, Yihui Ren, William Tang, Kyle Felker, Alexey Svyatkovskiy, Hang Liu, Ashwin M. Aji, Angela Dalton, Michael J. Schulte, Karl W. Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens
2023	J	`jnl`	Effect of constitutive law on the erythrocyte membrane response to large strains. Comput. Math. Appl. Marianna Pepona, John Gounley, Amanda Randles
2023	A	`conf`	Enhancing Adaptive Physics Refinement Simulations Through the Addition of Realistic Red Blood Cell Counts. SC Sayan Roychowdhury, Samreen T. Mahmud, Aristotle X. Martin, Peter Balogh, Daniel F. Puleri, John Gounley, Erik W. Draeger, Amanda Randles
2023	J	`jnl`	Evaluation of pre-training large language models on leadership-class supercomputers. J. Supercomput. Junqi Yin, Sajal Dash, John Gounley, Feiyi Wang, Georgia D. Tourassi
2023	J	`jnl`	FrESCO: Framework for Exploring Scalable Computational Oncology. J. Open Source Softw. Adam Spannaus, John Gounley, Mayanka Chandra Shekar, Zachary R. Fox, Jamaludin Mohd-Yusof, Noah Schaefferkoetter, Heidi A. Hanson
2023	—	`conf`	Moment Representation of Regularized Lattice Boltzmann Methods on NVIDIA and AMD GPUs. SC Workshops Pedro Valero-Lara, Jeffrey S. Vetter, John Gounley, Amanda Randles
2023	—	`conf`	Performance Evaluation of Heterogeneous GPU Programming Frameworks for Hemodynamic Simulations. SC Workshops Aristotle X. Martin, Geng Liu, William Ladd, Seyong Lee, John Gounley, Jeffrey S. Vetter, Saumil Patel, Silvio Rizzi, Victor A. Mateevitsi, Joseph A. Insley, Amanda Randles
2023	J	`jnl`	Transferring a Molecular Foundation Model for Polymer Property Predictions. J. Chem. Inf. Model. Pei Zhang, Logan T. Kearney, Debsindhu Bhowmik, Zachary R. Fox, Amit K. Naskar, John Gounley
2023	J	`jnl`	Transferring a molecular foundation model for polymer property predictions. CoRR Pei Zhang, Logan T. Kearney, Debsindhu Bhowmik, Zachary R. Fox, Amit K. Naskar, John Gounley
2023	J	`jnl`	TwoFold: Highly accurate structure and affinity prediction for protein-ligand complexes from sequences. Int. J. High Perform. Comput. Appl. Darren J. Hsu, Hao Lu, Aditya Kashi, Michael A. Matheson, John Gounley, Feiyi Wang, Wayne Joubert, Jens Glaser
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`	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	B	`conf`	Computational Workflow for Accelerated Molecular Design Using Quantum Chemical Simulations and Deep Learning Models. SMC Andrew E. Blanchard, Pei Zhang, Debsindhu Bhowmik, Kshitij Mehta, John Gounley, Samuel Temple Reeve, Stephan Irle, Massimiliano Lupo Pasini
2022	C	`conf`	High Performance Adaptive Physics Refinement to Enable Large-Scale Tracking of Cancer Cell Trajectory. CLUSTER Daniel F. Puleri, Sayan Roychowdhury, Peter Balogh, John Gounley, Erik W. Draeger, Jeff Ames, Adebayo Adebiyi, Simbarashe Chidyagwai, Benjamín Hernández, Seyong Lee, Shirley V. Moore, Jeffrey S. Vetter, Amanda Randles
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
2022	J	`jnl`	Propagation Pattern for Moment Representation of the Lattice Boltzmann Method. IEEE Trans. Parallel Distributed Syst. John Gounley, Madhurima Vardhan, Erik W. Draeger, Pedro Valero-Lara, Shirley V. Moore, Amanda Randles
2021	—	`conf`	How Distinct Structural Flexibility within SARS-CoV-2 Spike Protein Reveals Potential Therapeutic Targets. IEEE BigData Serena H. Chen, M. Todd Young, John Gounley, Christopher B. Stanley, Debsindhu Bhowmik
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
2020	—	`conf`	Evaluating the Influence of Hemorheological Parameters on Circulating Tumor Cell Trajectory and Simulation Time. PASC Sayan Roychowdhury, John Gounley, Amanda Randles
2020	J	`jnl`	Multi-GPU immersed boundary method hemodynamics simulations. J. Comput. Sci. Jeff Ames, Daniel F. Puleri, Peter Balogh, John Gounley, Erik W. Draeger, Amanda Randles
2019	J	`jnl`	A framework for comparing vascular hemodynamics at different points in time. Comput. Phys. Commun. John Gounley, Madhurima Vardhan, Amanda Randles
2019	—	`conf`	Immersed Boundary Method Halo Exchange in a Hemodynamics Application. ICCS (1) John Gounley, Erik W. Draeger, Amanda Randles
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`	Investigating the Role of VR in a Simulation-Based Medical Planning System for Coronary Interventions. MICCAI (5) Madhurima Vardhan, Harvey Shi, John Gounley, S. James Chen, Andrew Kahn, Jane A. Leopold, Amanda Randles
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	A	`conf`	Moment representation in the lattice Boltzmann method on massively parallel hardware. SC Madhurima Vardhan, John Gounley, Luiz Hegele, Erik W. Draeger, Amanda Randles
2019	C	`conf`	Multi-physics simulations of particle tracking in arterial geometries with a scalable moving window algorithm. CLUSTER Gregory Herschlag, John Gounley, Sayan Roychowdhury, Erik W. Draeger, Amanda Randles
2019	J	`jnl`	Performance portability study for massively parallel computational fluid dynamics application on scalable heterogeneous architectures. J. Parallel Distributed Comput. Seyong Lee, John Gounley, Amanda Randles, Jeffrey S. Vetter
2017	—	`conf`	A Computational Framework to Assess the Influence of Changes in Vascular Geometry on Blood Flow. PASC John Gounley, Madhurima Vardhan, Amanda Randles
2017	Misc	`conf`	Numerical simulation of a compound capsule in a constricted microchannel. ICCS John Gounley, Erik W. Draeger, Amanda Randles
2016	—	`conf`	Does the degree of coarctation of the aorta influence wall shear stress focal heterogeneity? EMBC John Gounley, Rafeed Chaudhury, Madhurima Vardhan, Michael Driscoll, Girish Pathangey, Kevin Winarta, Justin Ryan, David H. Frakes, Amanda Randles