Qing Liu
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An embedded feature selection method for imbalanced data classification
H Liu, MC Zhou, Q Liu
IEEE/CAA Journal of Automatica Sinica 6 (3), 703-715, 2019
Hello ADIOS: the challenges and lessons of developing leadership class I/O frameworks
Q Liu, J Logan, Y Tian, H Abbasi, N Podhorszki, JY Choi, S Klasky, ...
Concurrency and Computation: Practice and Experience 26 (7), 1453-1473, 2014
PreDatA–preparatory data analytics on peta-scale machines
F Zheng, H Abbasi, C Docan, J Lofstead, Q Liu, S Klasky, M Parashar, ...
2010 IEEE International Symposium on Parallel & Distributed Processing …, 2010
Managing variability in the IO performance of petascale storage systems
J Lofstead, F Zheng, Q Liu, S Klasky, R Oldfield, T Kordenbrock, ...
SC'10: Proceedings of the 2010 ACM/IEEE International Conference for High …, 2010
Adios 2: The adaptable input output system. a framework for high-performance data management
WF Godoy, N Podhorszki, R Wang, C Atkins, G Eisenhauer, J Gu, P Davis, ...
SoftwareX 12, 100561, 2020
Six degrees of scientific data: Reading patterns for extreme scale science io
J Lofstead, M Polte, G Gibson, S Klasky, K Schwan, R Oldfield, M Wolf, ...
Proceedings of the 20th international symposium on High performance …, 2011
Biobjective task scheduling for distributed green data centers
H Yuan, J Bi, MC Zhou, Q Liu, AC Ammari
IEEE Transactions on Automation Science and Engineering 18 (2), 731-742, 2020
Understanding and modeling lossy compression schemes on HPC scientific data
T Lu, Q Liu, X He, H Luo, E Suchyta, J Choi, N Podhorszki, S Klasky, ...
2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2018
Hierarchical routing in multi-domain optical networks
Q Liu, MA Kök, N Ghani, A Gumaste
Computer Communications 30 (1), 122-131, 2006
Computing just what you need: Online data analysis and reduction at extreme scales
I Foster, M Ainsworth, B Allen, J Bessac, F Cappello, JY Choi, ...
Euro-Par 2017: Parallel Processing: 23rd International Conference on …, 2017
Fine-grained resource provisioning and task scheduling for heterogeneous applications in distributed green clouds
H Yuan, MC Zhou, Q Liu, A Abusorrah
IEEE/CAA Journal of Automatica Sinica 7 (5), 1380-1393, 2020
EDO: Improving read performance for scientific applications through elastic data organization
Y Tian, S Klasky, H Abbasi, J Lofstead, R Grout, N Podhorszki, Q Liu, ...
2011 IEEE International Conference on Cluster Computing, 93-102, 2011
Parallel in situ indexing for data-intensive computing
J Kim, H Abbasi, L Chacon, C Docan, S Klasky, Q Liu, N Podhorszki, ...
2011 IEEE Symposium on Large Data Analysis and Visualization, 65-72, 2011
Control plane design in multidomain/multilayer optical networks
N Ghani, Q Liu, A Gumaste, D Benhaddou, NSV Rao, T Lehman
IEEE Communications Magazine 46 (6), 78-87, 2008
High-ratio lossy compression: Exploring the autoencoder to compress scientific data
T Liu, J Wang, Q Liu, S Alibhai, T Lu, X He
IEEE Transactions on Big Data 9 (1), 22-36, 2021
In situ data processing for extreme-scale computing
S Klasky, H Abbasi, J Logan, M Parashar, K Schwan, A Shoshani, M Wolf, ...
Proceedings of SciDAC, 1-16, 2011
Impact of annealing on the hierarchical structure and physicochemical properties of waxy starches of different botanical origins
ERJ Samarakoon, R Waduge, Q Liu, F Shahidi, JH Banoub
Food Chemistry 303, 125344, 2020
Transparent in situ data transformations in adios
DA Boyuka, S Lakshminarasimham, X Zou, Z Gong, J Jenkins, ...
2014 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2014
Time-dependent cloud workload forecasting via multi-task learning
J Bi, H Yuan, MC Zhou, Q Liu
IEEE Robotics and Automation Letters 4 (3), 2401-2406, 2019
Coupling exascale multiphysics applications: Methods and lessons learned
JY Choi, CS Chang, J Dominski, S Klasky, G Merlo, E Suchyta, ...
2018 IEEE 14th International Conference on e-Science (e-Science), 442-452, 2018
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