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2020 – today
- 2024
[j2]Xiaolin Shi
, Shaomeng Li, Kaiming Nie:
An 11-bit low power column-parallel single slope ADC with comparator toggle prediction technique for CMOS image sensor. Microelectron. J. 153: 106427 (2024)- 2023
- [c14]Shaomeng Li, Peter Lindstrom, John P. Clyne:
Lossy Scientific Data Compression With SPERR. IPDPS 2023: 1007-1017 - 2021
- [c13]Lucas Hayne, John P. Clyne, Shaomeng Li:
Using Neural Networks for Two Dimensional Scientific Data Compression. IEEE BigData 2021: 2956-2965 - 2020
- [c12]Brenton Lessley, Shaomeng Li, Hank Childs:
HashFight: A Platform-Portable Hash Table for Multi-Core and Many-Core Architectures. Visualization and Data Analysis 2020
2010 – 2019
- 2019
- [c11]Nicole Marsaglia, Shaomeng Li, Kristi Belcher, Matthew Larsen, Hank Childs:
Dynamic I/O Budget Reallocation For In Situ Wavelet Compression. EGPGV@EuroVis 2019: 1-5 - 2018
- [j1]Shaomeng Li, Nicole Marsaglia, Christoph Garth, Jonathan Woodring, John P. Clyne, Hank Childs:
Data Reduction Techniques for Simulation, Visualization and Data Analysis. Comput. Graph. Forum 37(6): 422-447 (2018) - [c10]Xin Liang, Sheng Di, Dingwen Tao, Sihuan Li, Shaomeng Li, Hanqi Guo, Zizhong Chen, Franck Cappello:
Error-Controlled Lossy Compression Optimized for High Compression Ratios of Scientific Datasets. IEEE BigData 2018: 438-447 - [c9]Nicole Marsaglia, Shaomeng Li, Hank Childs:
Enabling Explorative Visualization with Full Temporal Resolution via In Situ Calculation of Temporal Intervals. ISC Workshops 2018: 273-293 - 2017
- [c8]Shaomeng Li, Sudhanshu Sane, Leigh Orf, Pablo D. Mininni, John P. Clyne, Hank Childs:
Spatiotemporal Wavelet Compression for Visualization of Scientific Simulation Data. CLUSTER 2017: 216-227 - [c7]Shaomeng Li, Nicole Marsaglia, Vincent Chen, Christopher M. Sewell, John P. Clyne, Hank Childs:
Achieving Portable Performance For Wavelet Compression Using Data Parallel Primitives. EGPGV@EuroVis 2017: 73-81 - [c6]Shaomeng Li, Matthew Larsen, John P. Clyne, Hank Childs:
Performance Impacts of In Situ Wavelet Compression on Scientific Simulations. ISAV@SC 2017: 37-41 - [c5]Allison H. Baker, Haiying Xu, Dorit M. Hammerling, Shaomeng Li, John P. Clyne:
Toward a Multi-method Approach: Lossy Data Compression for Climate Simulation Data. ISC Workshops 2017: 30-42 - 2015
- [c4]Shaomeng Li, Kenny Gruchalla, Kristin Potter, John P. Clyne, Hank Childs:
Evaluating the efficacy of wavelet configurations on turbulent-flow data. LDAV 2015: 81-89 - [c3]Shaomeng Li, R. Jordan Crouser, Garth Griffin, Connor Gramazio, Hans-Jörg Schulz, Hank Childs, Remco Chang:
Exploring hierarchical visualization designs using phylogenetic trees. Visualization and Data Analysis 2015: 939709
2000 – 2009
- 2003
- [c2]Shaomeng Li, Jim Tørresen, Oddvar Søråsen:
Exploiting Reconfigurable Hardware for Network Security. FCCM 2003: 292-293 - [c1]Shaomeng Li, Jim Tørresen, Oddvar Søråsen:
Exploiting Stateful Inspection of Network Security in Reconfigurable Hardware. FPL 2003: 1153-1157
Coauthor Index
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