| Development of a scalable image formation pipeline for multiscale gigapixel photography DR Golish, EM Vera, KJ Kelly, Q Gong, PA Jansen, JM Hughes, DS Kittle, ... Optics express 20 (20), 22048-22062, 2012 | 49 | 2012 |
| Rapid simulation of X-ray transmission imaging for baggage inspection via GPU-based ray-tracing Q Gong, RI Stoian, DS Coccarelli, JA Greenberg, E Vera, ME Gehm Nuclear Inst. and Methods in Physics Research, B, 2017 | 31* | 2017 |
| Error-bounded learned scientific data compression with preservation of derived quantities J Lee, Q Gong, J Choi, T Banerjee, S Klasky, S Ranka, A Rangarajan Applied Sciences 12 (13), 6718, 2022 | 22 | 2022 |
| Error-controlled, progressive, and adaptable retrieval of scientific data with multilevel decomposition X Liang, Q Gong, J Chen, B Whitney, L Wan, Q Liu, D Pugmire, ... Proceedings of the International Conference for High Performance Computing …, 2021 | 15 | 2021 |
| Maintaining trust in reduction: Preserving the accuracy of quantities of interest for lossy compression Q Gong, X Liang, B Whitney, JY Choi, J Chen, L Wan, S Ethier, SH Ku, ... Smoky Mountains Computational Sciences and Engineering Conference, 22-39, 2021 | 14 | 2021 |
| Rapid simulation of X-ray scatter measurements for threat detection via GPU-based ray-tracing Q Gong, JA Greenberg, RI Stoian, D Coccarelli, E Vera, ME Gehm Nuclear Instruments and Methods in Physics Research Section B: Beam …, 2019 | 13 | 2019 |
| Information-theoretic analysis of x-ray photoabsorption based threat detection system for check-point Y Lin, GG Allouche, J Huang, A Ashok, Q Gong, D Coccarelli, RI Stoian, ... Anomaly Detection and Imaging with X-Rays (ADIX) 9847, 70-75, 2016 | 13 | 2016 |
| MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring Q Gong, J Chen, B Whitney, X Liang, V Reshniak, T Banerjee, J Lee, ... SoftwareX 24, 101590, 2023 | 11 | 2023 |
| Rapid GPU-based simulation of X-ray transmission, scatter, and phase measurements for threat detection systems Q Gong, D Coccarelli, RI Stoian, J Greenberg, E Vera, M Gehm Proc. of SPIE Vol 9847, 98470Q-1, 2016 | 9 | 2016 |
| An algorithmic and software pipeline for very large scale scientific data compression with error guarantees T Banerjee, J Choi, J Lee, Q Gong, R Wang, S Klasky, A Rangarajan, ... 2022 IEEE 29th International Conference on High Performance Computing, Data …, 2022 | 8 | 2022 |
| Neural data compression for physics plasma simulation J Choi, M Churchill, Q Gong, SH Ku, J Lee, A Rangarajan, S Ranka, ... Neural Compression: From Information Theory to Applications--Workshop@ ICLR 2021, 2021 | 8 | 2021 |
| GoldenEye: Stream-Based Network Packet Inspection Using GPUs Q Gong, W Wu, P DeMar 2018 IEEE 43rd Conference on Local Computer Networks (LCN) Program, 2018 | 7 | 2018 |
| Region-adaptive, error-controlled scientific data compression using multilevel decomposition Q Gong, B Whitney, C Zhang, X Liang, A Rangarajan, J Chen, L Wan, ... Proceedings of the 34th International Conference on Scientific and …, 2022 | 6 | 2022 |
| Information-theoretic analysis of x-ray scatter and phase architectures for anomaly detection D Coccarelli, Q Gong, RI Stoian, JA Greenberg, ME Gehm, Y Lin, ... Anomaly Detection and Imaging with X-Rays (ADIX) 9847, 41-46, 2016 | 6 | 2016 |
| Image formation in multiscale optical systems D Golish, E Vera, K Kelly, Q Gong, DJ Brady, ME Gehm Computational Optical Sensing and Imaging, JTuE4, 2011 | 5 | 2011 |
| Spatiotemporally adaptive compression for scientific dataset with feature preservation–a case study on simulation data with extreme climate events analysis Q Gong, C Zhang, X Liang, V Reshniak, J Chen, A Rangarajan, S Ranka, ... 2023 IEEE 19th International Conference on e-Science (e-Science), 1-10, 2023 | 4 | 2023 |
| Scalable hybrid learning techniques for scientific data compression T Banerjee, J Choi, J Lee, Q Gong, J Chen, S Klasky, A Rangarajan, ... arXiv preprint arXiv:2212.10733, 2022 | 4 | 2022 |
| Deep Packet/Flow Analysis using GPUs Q Gong, W Wu, P DeMar Supercomputing 2017 conference abstract, 2017 | 4 | 2017 |
| Creating an experimental testbed for information-theoretic analysis of architectures for x-ray anomaly detection D Coccarelli, JA Greenberg, S Mandava, Q Gong, J Huang, A Ashok, ... SPIE Defense+ Security, 1018709-1018709, 2017 | 4 | 2017 |
| Model-based multiscale gigapixel image formation pipeline on GPU Q Gong, E Vera, D Golish, S Feller, DJ Brady, M Gehm IEEE Transactions on Computational Imaging, 2016 | 4 | 2016 |
Michael GehmProfessor of Electrical and Computer Engineering and Physics, Duke UniversityVerified email at duke.edu
