TomoGAN: Low-Dose Synchrotron X-Ray Tomography with Generative Adversarial Networks:discussion Z Liu, T Bicer, R Kettimuthu, D Gursoy, F De Carlo, I Foster Journal of the Optical Society of America A 37 (2), 13, 2020 | 125 | 2020 |
A simulation and optimization based method for calibrating agent-based emergency department models under data scarcity Z Liu, D Rexachs, F Epelde, E Luque Computers & Industrial Engineering 103, 300–309, 2017 | 83 | 2017 |
Job characteristics on large-scale systems: long-term analysis, quantification, and implications T Patel, Z Liu, R Kettimuthu, P Rich, W Allcock, D Tiwari SC20: International conference for high performance computing, networking …, 2020 | 70 | 2020 |
Model of collaborative UAV swarm toward coordination and control mechanisms study X Zhu, Z Liu, J Yang Procedia Computer Science 51, 493-502, 2015 | 70 | 2015 |
Fast and accurate learned multiresolution dynamical downscaling for precipitation J Wang, Z Liu, I Foster, W Chang, R Kettimuthu, VR Kotamarthi Geoscientific Model Development 14 (10), 6355-6372, 2021 | 62 | 2021 |
Transferring a Petabyte in a Day R Kettimuthu, Z Liu, D Wheeler, I Foster, K Heitmann, F Cappello Future Generation Computer Systems (FGCS) 88, 191 - 198, 2018 | 62 | 2018 |
Cross-geography scientific data transferring trends and behavior Z Liu, R Kettimuthu, I Foster, NSV Rao Proceedings of the 27th International Symposium on High-Performance Parallel …, 2018 | 53 | 2018 |
An Agent-based Model for Quantitatively Analyzing and Predicting the Complex Behavior of Emergency Departments Z Liu, D Rexachs, F Epelde, E Luque Journal of Computational Science 21, 11-23, 2017 | 53 | 2017 |
BraggNN: fast X-ray Bragg peak analysis using deep learning Z Liu, H Sharma, JS Park, P Kenesei, A Miceli, J Almer, R Kettimuthu, ... IUCrJ 9 (1), 104-113, 2022 | 52 | 2022 |
Explaining Wide Area Data Transfer Performance Z Liu, P Balaprakash, R Kettimuthu, I Foster ACM Symposium on High-Performance Parallel and Distributed Computing, 12, 2017 | 51 | 2017 |
Quantitative evaluation of decision effects in the management of emergency department problems Z Liu, E Cabrera, M Taboada, F Epelde, D Rexachs, E Luque Procedia Computer Science 51, 433-442, 2015 | 42 | 2015 |
Linking scientific instruments and computation: Patterns, technologies, and experiences R Vescovi, R Chard, ND Saint, B Blaiszik, J Pruyne, T Bicer, A Lavens, ... Patterns 3 (10), 2022 | 39 | 2022 |
Data transfer between scientific facilities - bottleneck analysis, insights and optimizations Y Liu, Z Liu, R Kettimuthu, N Rao, Z Chen, I Foster The 19th Annual IEEE/ACM International Symposium in Cluster, Cloud, and Grid …, 2019 | 36 | 2019 |
Bridging data center AI systems with edge computing for actionable information retrieval Z Liu, A Ali, P Kenesei, A Miceli, H Sharma, N Schwarz, D Trujillo, H Yoo, ... 2021 3rd Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing …, 2021 | 34 | 2021 |
A generalized agent-based model to simulate emergency departments Z Liu, E Cabrera, D Rexachs, E Luque Sixth Int Conf Adv Syst Simul, 65-70, 2014 | 33 | 2014 |
Characterization and Identification of HPC Applications at Leadership Computing Facility Z Liu, R Lewis, R Kettimuthu, K Harms, P Carns, N Rao, I Foster, M Papka ACM International Conference on Supercomputing, 2020 | 32 | 2020 |
FAIR principles for AI models with a practical application for accelerated high energy diffraction microscopy N Ravi, P Chaturvedi, EA Huerta, Z Liu, R Chard, A Scourtas, KJ Schmidt, ... Scientific Data 9 (1), 657, 2022 | 31 | 2022 |
Toward a smart data transfer node Z Liu, R Kettimuthu, I Foster, PH Beckman Future Generation Computer Systems 89, 10-18, 2018 | 31 | 2018 |
Deep learning at the edge enables real-time streaming ptychographic imaging AV Babu, T Zhou, S Kandel, T Bicer, Z Liu, W Judge, DJ Ching, Y Jiang, ... Nature Communications 14 (1), 7059, 2023 | 28 | 2023 |
Deep Learning Accelerated Light Source Experiments Z Liu, T Bicer, R Kettimuthu, I Foster The Deep Learning on Supercomputers Workshop @ SC’19, 2019 | 27 | 2019 |