Jong Youl Choi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
31
Venues
19
Active years
2005–2026
Best venue rank
A*
Where they publish
Papers
31 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | CCGRID | Efficient Concurrent GHZ State Distribution in Quantum Networks. | Charles Cao, Weisheng Si, Jong Youl Choi, Sajal K. Das |
| 2025 | DAC | Scaling Laws of Graph Neural Networks for Atomistic Materials Modeling. | Chaojian Li, Zhifan Ye, Massimiliano Lupo Pasini, Jong Youl Choi, Cheng Wan, Prasanna Balaprakash |
| 2025 | SC | Intelligent Sampling of Extreme-Scale Turbulence Datasets for Accurate and Efficient Spatiotemporal Model Training. | Wesley Brewer, Murali Meena Gopalakrishnan, Matthias Maiterth, Aditya Kashi, Jong Youl Choi, Pei Zhang, Stephen Nichols, Riccardo Balin, Miles Couchman, Stephen de Bruyn Kops, P. K. Yeung, Daniel L. Dotson, Rohini Uma-Vaideswaran, Sarp Oral, Feiyi Wang |
| 2024 | SC | MDLoader: A Hybrid Model-Driven Data Loader for Distributed Graph Neural Network Training. | Jonghyun Bae, Jong Youl Choi, Massimiliano Lupo Pasini, Kshitij Mehta, Pei Zhang, Khaled Z. Ibrahim |
| 2023 | MASCOTS | Analyzing File Access Patterns on Large-Scale HPC Systems: Opportunities for File Prefetching. | Ahmad Maroof Karimi, Arnab K. Paul, Jong Youl Choi, Lipeng Wan, Feiyi Wang |
| 2023 | SC | DDStore: Distributed Data Store for Scalable Training of Graph Neural Networks on Large Atomistic Modeling Datasets. | Jong Youl Choi, Massimiliano Lupo Pasini, Pei Zhang, Kshitij Mehta, Frank Liu, Jonghyun Bae, Khaled Ibrahim |
| 2022 | CLUSTER | Hybrid Analysis of Fusion Data for Online Understanding of Complex Science on Extreme Scale Computers. | Eric Suchyta, Jong Youl Choi, Seung-Hoe Ku, David Pugmire, Ana Gainaru, Kevin A. Huck, Ralph Kube, Aaron Scheinberg, Frdric Suter, Choong-Seock Chang, Todd S. Munson, Norbert Podhorszki, Scott Klasky |
| 2022 | HPDC | Machine Learning Assisted HPC Workload Trace Generation for Leadership Scale Storage Systems. | Arnab K. Paul, Jong Youl Choi, Ahmad Maroof Karimi, Feiyi Wang |
| 2017 | CLUSTER | TGE: Machine Learning Based Task Graph Embedding for Large-Scale Topology Mapping. | Jong Youl Choi, Jeremy Logan, Matthew Wolf, George Ostrouchov, Tahsin M. Kur, Qing Liu, Norbert Podhorszki, Scott Klasky, Melissa Romanus, Qian Sun, Manish Parashar, Randy Michael Churchill, Choong-Seock Chang |
| 2017 | CLUSTER | Extending Skel to Support the Development and Optimization of Next Generation I/O Systems. | Jeremy Logan, Jong Youl Choi, Matthew Wolf, George Ostrouchov, Lipeng Wan, Norbert Podhorszki, William F. Godoy, Scott Klasky, Erich Lohrmann, Greg Eisenhauer, Chad Wood, Kevin A. Huck |
| 2017 | EuroPar | Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales. | Ian T. Foster, Mark Ainsworth, Bryce Allen, Julie Bessac, Franck Cappello, Jong Youl Choi, Emil M. Constantinescu, Philip E. Davis, Sheng Di, Zichao Wendy Di, Hanqi Guo, Scott Klasky, Kerstin Kleese van Dam, Tahsin M. Kur, Qing Liu, Abid Malik, Kshitij Mehta, Klaus Mueller, Todd S. Munson, George Ostrouchov, Manish Parashar, Tom Peterka, Line Pouchard, Dingwen Tao, Ozan Tugluk, Stefan M. Wild, Matthew Wolf, Justin M. Wozniak, Wei Xu, Shinjae Yoo |
| 2017 | HPCC | Analysis and Modeling of the End-to-End I/O Performance on OLCF's Titan Supercomputer. | Lipeng Wan, Matthew Wolf, Feiyi Wang, Jong Youl Choi, George Ostrouchov, Scott Klasky |
| 2017 | HPDC | Predicting Output Performance of a Petascale Supercomputer. | Bing Xie, Yezhou Huang, Jeffrey S. Chase, Jong Youl Choi, Scott Klasky, Jay F. Lofstead, Sarp Oral |
| 2017 | ICCS | StoreRush: An Application-Level Approach to Harvesting Idle Storage in a Best Effort Environment. | Qing Liu, Norbert Podhorszki, Jong Youl Choi, Jeremy Logan, Matthew Wolf, Scott Klasky, Tahsin M. Kur, Xubin He |
| 2017 | ICDCS | Exacution: Enhancing Scientific Data Management for Exascale. | Scott Klasky, Eric Suchyta, Mark Ainsworth, Qing Liu, Ben Whitney, Matthew Wolf, Jong Youl Choi, Ian T. Foster, Mark Kim, Jeremy Logan, Kshitij Mehta, Todd S. Munson, George Ostrouchov, Manish Parashar, Norbert Podhorszki, David Pugmire, Lipeng Wan |
| 2017 | ICDCS | Comprehensive Measurement and Analysis of the User-Perceived I/O Performance in a Production Leadership-Class Storage System. | Lipeng Wan, Matthew Wolf, Feiyi Wang, Jong Youl Choi, George Ostrouchov, Scott Klasky |
| 2016 | HPDC | Persistent Data Staging Services for Data Intensive In-situ Scientific Workflows. | Melissa Romanus, Fan Zhang, Tong Jin, Qian Sun, Hoang Bui, Manish Parashar, Jong Youl Choi, Saloman Janhunen, Robert Hager, Scott Klasky, Choong-Seock Chang, Ivan Rodero |
| 2015 | PPoPP | Combining phase identification and statistic modeling for automated parallel benchmark generation. | Ye Jin, Mingliang Liu, Xiaosong Ma, Qing Liu, Jeremy Logan, Norbert Podhorszki, Jong Youl Choi, Scott Klasky |
| 2015 | SC | Loosely Coupled In Situ Visualization: A Perspective on Why It's Here to Stay. | James Kress, Scott Klasky, Norbert Podhorszki, Jong Youl Choi, Hank Childs, David Pugmire |
| 2015 | SIGMETRICS | Combining Phase Identification and Statistic Modeling for Automated Parallel Benchmark Generation. | Ye Jin, Xiaosong Ma, Mingliang Liu, Qing Liu, Jeremy Logan, Norbert Podhorszki, Jong Youl Choi, Scott Klasky |
| 2014 | PPoPP | Active workflow system for near real-time extreme-scale science. | Yanwei Zhang, Qing Liu, Scott Klasky, Matthew Wolf, Karsten Schwan, Greg Eisenhauer, Jong Youl Choi, Norbert Podhorszki |
| 2010 | CCGRID | High Performance Dimension Reduction and Visualization for Large High-Dimensional Data Analysis. | Jong Youl Choi, Seung-Hee Bae, Xiaohong Qiu, Geoffrey C. Fox |
| 2010 | HPDC | Dimension reduction and visualization of large high-dimensional data via interpolation. | Seung-Hee Bae, Jong Youl Choi, Judy Qiu, Geoffrey C. Fox |
| 2010 | HPDC | Browsing large scale cheminformatics data with dimension reduction. | Jong Youl Choi, Seung-Hee Bae, Judy Qiu, Geoffrey C. Fox, Bin Chen, David J. Wild |
| 2009 | CloudCom | Biomedical Case Studies in Data Intensive Computing. | Geoffrey C. Fox, Xiaohong Qiu, Scott Beason, Jong Youl Choi, Jaliya Ekanayake, Thilina Gunarathne, Mina Rho, Haixu Tang, Neil Devadasan, Gilbert C. Liu |
| 2008 | NDSS | PRECIP: Towards Practical and Retrofittable Confidential Information Protection. | XiaoFeng Wang, Zhuowei Li, Ninghui Li, Jong Youl Choi |
| 2007 | RAID | SpyShield: Preserving Privacy from Spy Add-Ons. | Zhuowei Li, XiaoFeng Wang, Jong Youl Choi |
| 2006 | CCS | Packet vaccine: black-box exploit detection and signature generation. | XiaoFeng Wang, Zhuowei Li, Jun Xu, Michael K. Reiter, Chongkyung Kil, Jong Youl Choi |
| 2006 | DASC | Tamper-Evident Digital Signature Protecting Certification Authorities Against Malware. | Jong Youl Choi, Philippe Golle, Markus Jakobsson |
| 2006 | FC | Auditable Privacy: On Tamper-Evident Mix Networks. | Jong Youl Choi, Philippe Golle, Markus Jakobsson |
| 2005 | MSWIM | Balancing auditability and privacy in vehicular networks. | Jong Youl Choi, Markus Jakobsson, Susanne Wetzel |