| End-to-end Delay Minimization for Scientific Workflows in Clouds under Budget Constraint CQ Wu, X Lin, D Yu, W Xu, L Li Transactions on Cloud Computing, 2014 | 136 | 2014 |
| On the efficiency of iterative ordered subset reconstruction algorithms for acceleration on GPUs F Xu, W Xu, M Jones, B Keszthelyi, J Sedat, D Agard, K Mueller Computer methods and programs in biomedicine 98 (3), 261-270, 2010 | 106 | 2010 |
| 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 | 101 | 2017 |
| High-performance iterative electron tomography reconstruction with long-object compensation using graphics processing units (GPUs) W Xu, F Xu, M Jones, B Keszthelyi, J Sedat, D Agard, K Mueller Journal of structural biology 171 (2), 142-153, 2010 | 92 | 2010 |
| PyXRF: Python-based X-ray fluorescence analysis package L Li, H Yan, W Xu, D Yu, A Heroux, WK Lee, SI Campbell, YS Chu X-Ray Nanoimaging: Instruments and Methods III 10389, 38-45, 2017 | 71 | 2017 |
| A visual analytics framework for the detection of anomalous call stack trees in high performance computing applications C Xie, W Xu, K Mueller IEEE transactions on visualization and computer graphics 25 (1), 215-224, 2018 | 58 | 2018 |
| ColorMapND: A Data-Driven Approach and Tool for Mapping Multivariate Data to Color S Cheng, W Xu, K Mueller IEEE transactions on visualization and computer graphics 25 (2), 1361-1377, 2018 | 56 | 2018 |
| A performance-driven study of regularization methods for gpu-accelerated iterative ct W Xu, K Mueller Workshop on High Performance Image Reconstruction (HPIR), 2009 | 46 | 2009 |
| Evolutionary Visual Analysis of Deep Neural Networks W Zhong, C Xie, Y Zhong, Y Wang, W Xu, S Cheng, K Mueller ICML workshop on visualization for deep learning, 2017 | 40 | 2017 |
| Conformal magnifier: A focus+ context technique with local shape preservation X Zhao, W Zeng, XD Gu, AE Kaufman, W Xu, K Mueller IEEE Transactions on Visualization and Computer Graphics 18 (11), 1928-1941, 2012 | 39 | 2012 |
| Efficient Low-Dose CT Artifact Mitigation Using An Artifact-Matched Prior Scan W Xu, K Mueller Medical Physics, 2012 | 37 | 2012 |
| A framework to visualize temporal behavioral relationships in streaming multivariate data S Cheng, K Mueller, W Xu 2016 New York Scientific Data Summit (NYSDS), 1-10, 2016 | 34 | 2016 |
| Radviz deluxe: An attribute-aware display for multivariate data S Cheng, W Xu, K Mueller Processes 5 (4), 75, 2017 | 29 | 2017 |
| Database-Assisted Low-Dose CT Image Restoration W Xu, S Ha, K Mueller Medical Physics, 2013 | 27 | 2013 |
| Evaluating popular non-linear image processing filters for their use in regularized iterative CT W Xu, K Mueller IEEE Nuclear Science Symposuim & Medical Imaging Conference, 2864-2865, 2010 | 24 | 2010 |
| Learning effective parameter settings for iterative CT reconstruction algorithms W Xu, K Mueller Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear …, 2009 | 23 | 2009 |
| Chimbuko: A workflow-level scalable performance trace analysis tool C Kelly, S Ha, K Huck, H Van Dam, L Pouchard, G Matyasfalvi, L Tang, ... ISAV'20 In Situ Infrastructures for Enabling Extreme-Scale Analysis and …, 2020 | 22 | 2020 |
| Performance Tuning for CUDA-Accelerated Neighborhood Denoising Filters Z Zheng, W Xu, K Mueller Workshop on High Performance Image Reconstruction (HPIR), 52-55, 2011 | 22 | 2011 |
| Visual Analytics for Scientific Data in NSLS-II W Xu, S Ha, W Zhong, S Cheng, H Yan, KG Yager, K Mueller, X Huang, ... HANDBOOK ON BIG DATA AND MACHINE LEARNING IN THE PHYSICAL SCIENCES: Volume 2 …, 2020 | 20 | 2020 |
| High-performance multi-mode ptychography reconstruction on distributed GPUs Z Dong, YLL Fang, X Huang, H Yan, S Ha, W Xu, YS Chu, SI Campbell, ... 2018 New York Scientific Data Summit (NYSDS), 1-5, 2018 | 20 | 2018 |
Klaus MuellerProfessor of Computer Science, Stony Brook UniversityVerified email at cs.stonybrook.edu
