Straipsniai su viešo pasiekiamumo įpareigojimais - Zhengchun LiuSužinokite daugiau
Niekur nepasiekiama: 4
Simulating the Micro-level Behavior of Emergency Department for Macro-level Features Prediction
Z Liu, E Cabrera, D Rexachs, F Epelde, E Luque
2015 Winter Simulation Conference, 171-182, 2015
Įpareigojimai: Government of Spain
Tomo2Mesh: Fast porosity mapping and visualization for synchrotron tomography
A Tekawade, V Nikitin, Y Satapathy, Z Liu, X Zhang, P Kenesei, W Zheng, ...
2023 IEEE 19th International Conference on e-Science (e-Science), 1-10, 2023
Įpareigojimai: US Department of Energy
Assessment of unsupervised clustering of label-free x-ray fluorescence microscopy data
MAZ Chowdhury, K Ok, Y Luo, Z Liu, S Chen, TV O'Halloran, R Kettimuthu, ...
Applications of Machine Learning 2022 12227, 152-158, 2022
Įpareigojimai: US Department of Energy, US National Institutes of Health
What does inter-cluster job submission and execution behavior reveal to us?
T Patel, D Tiwari, R Kettimuthu, W Allcock, P Rich, Z Liu
2022 IEEE International Conference on Cluster Computing (CLUSTER), 35-46, 2022
Įpareigojimai: US Department of Energy
Kur nors pasiekiama: 59
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
Įpareigojimai: US Department of Energy
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
Įpareigojimai: US Department of Energy
Fast and accurate learned multiresolution dynamical downscaling for precipitation
J Wang, Z Liu, I Foster, W Chang, R Kettimuthu, VR Kotamarthi
Geoscientific Model Development Discussions 2021, 1-24, 2021
Įpareigojimai: US Department of Energy
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
Įpareigojimai: US National Science Foundation, US Department of Energy
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
Įpareigojimai: US Department of Energy
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
Įpareigojimai: US Department of Energy
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
Įpareigojimai: US Department of Energy
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
Įpareigojimai: Government of Spain
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
Įpareigojimai: Government of Spain
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
Įpareigojimai: US National Science Foundation, US Department of Energy
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
Įpareigojimai: US Department of Energy
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
Įpareigojimai: US Department of Energy
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
Įpareigojimai: US National Science Foundation, US Department of Energy
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
Įpareigojimai: Government of Spain
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
Įpareigojimai: US Department of Energy
Toward a smart data transfer node
Z Liu, R Kettimuthu, I Foster, PH Beckman
Future Generation Computer Systems 89, 10-18, 2018
Įpareigojimai: US Department of Energy
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