Staff information

PNNL Publications

2024

• Aksoy S.G., B. Fang, R. Gioiosa, W.W. Kay, H. Lee, J.A. Bilbrey, and M.R. Shapiro, et al. 2024. Unifying Combinatorial and Graphical Methods in Artificial Intelligence. PNNL-36839. Richland, WA: Pacific Northwest National Laboratory. Unifying Combinatorial and Graphical Methods in Artificial Intelligence
• Ashraf R.A., L. Guo, H. Lee, and N.R. Tallent. 2024. "Identifying Outliers in AI-based Image Compression." In IEEE International Conference on Big Data (BigData 2024), December 15-18, 2024, Washington, D.C., 8611-8613. Los Alamitos, California:IEEE Computer Society. PNNL-SA-204518. doi:10.1109/BigData62323.2024.10825013
• Guo L., M. Tang, H. Lee, J.S. Firoz, and N.R. Tallent. 2024. "Improving I/O-aware Workflow Scheduling via Data Flow Characterization and trade-off Analysis." In IEEE International Conference on Big Data (BigData 2024), December 15-18, 2024, Washington, D.C., 3674-3681. Piscataway, New Jersey:IEEE. PNNL-SA-205879. doi:10.1109/BigData62323.2024.10825855

2023

• Ghosh S., M. Jain, H. Lee, and K.J. Roche. 2023. Proxy Applications for Converged Workloads: DMC LDRD Initiative. PNNL-34841. Richland, WA: Pacific Northwest National Laboratory. Proxy Applications for Converged Workloads: DMC LDRD Initiative
• Sarkar D., H. Lee, J.W. Vant, M. Turilli, J.V. Vermaas, S. Jha, and A. Singharoy. 2023. "Adaptive Ensemble Refinement of Protein Structures in High Resolution Electron Microscopy Density Maps with Radical Augmented Molecular Dynamics Flexible Fitting." Journal of Chemical Information and Modeling 63, no. 18:5834-5846. PNNL-SA-189482. doi:10.1021/acs.jcim.3c00350

2022

• Lee H., M. Jain, and S. Ghosh. 2022. "Sparse Deep Neural Network Inference using different Programming Models." In IEEE High Performance Extreme Computing Conference (HPEC 2022), September 19-23, 2022, Waltham, MA, 1-6. Piscataway, New Jersey:IEEE. PNNL-SA-175380. doi:10.1109/HPEC55821.2022.9926362