| 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 | 361 | 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 | 277 | 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 | 263 | 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 | 243 | 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 | 181 | 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 | 125 | 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 | 118 | 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 | 113 | 2018 |
| 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 | 100 | 2017 |
| Hierarchical routing in multi-domain optical networks Q Liu, MA Kök, N Ghani, A Gumaste Computer Communications 30 (1), 122-131, 2006 | 98 | 2006 |
| 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 | 89 | 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 | 74 | 2011 |
| 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 | 72 | 2021 |
| 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 | 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 | 71 | 2008 |
| 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 | 61 | 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 | 47 | 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 | 46 | 2014 |
| Mgard+: Optimizing multilevel methods for error-bounded scientific data reduction X Liang, B Whitney, J Chen, L Wan, Q Liu, D Tao, J Kress, D Pugmire, ... IEEE Transactions on Computers 71 (7), 1522-1536, 2021 | 43 | 2021 |
| 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 | 43 | 2019 |
Scott KlaskyOak Ridge National LaboratoryVerified email at ornl.gov
