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ORCIDMichael Wang 0003
Person information
- affiliation: Fermi National Accelerator Laboratory, Batavia, IL, USA
Other persons with the same name
- Michael Wang — disambiguation page
- Michael Wang 0001 — IBM Systems and Technology Group, Austin, TX, USA
- Michael Wang 0002
![[0000-0001-5871-8339]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-5871-8339")
— Princeton University, Department of Electrical Engineering, NJ, USA
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Journal Articles
- 2023
[j4]Tejin Cai, Kenneth Herner, Tingjun Yang, Michael Wang, Maria Acosta Flechas, Philip C. Harris, Burt Holzman, Kevin Pedro, Nhan Tran:
Accelerating Machine Learning Inference with GPUs in ProtoDUNE Data Processing. Comput. Softw. Big Sci. 7(1): 11 (2023)- 2022
- [j3]Dimitrios Tanoglidis, Aleksandra Ciprijanovic, Alex Drlica-Wagner, Brian Nord, Michael H. L. S. Wang, A. Jacob Amsellem, K. Downey, S. Jenkins, Diana Kafkes, Z. Zhang:
DeepGhostBusters: Using Mask R-CNN to detect and mask ghosting and scattered-light artifacts from optical survey images. Astron. Comput. 39: 100580 (2022) - 2021
- [j2]Chihway L. Chang, Alex Drlica-Wagner, S. M. Kent, Brian Nord, Donah Michelle Wang, Michael H. L. S. Wang:
A machine learning approach to the detection of ghosting and scattered light artifacts in dark energy survey images. Astron. Comput. 36: 100474 (2021) - 2020
- [j1]Michael Wang, Tingjun Yang, Maria Acosta Flechas, Philip C. Harris, Benjamin Hawks, Burt Holzman, Kyle Knoepfel, Jeffrey D. Krupa, Kevin Pedro, Nhan Tran:
GPU-Accelerated Machine Learning Inference as a Service for Computing in Neutrino Experiments. Frontiers Big Data 3: 604083 (2020)
Conference and Workshop Papers
- 2022
- [c1]Shivam Patel, Rigden Atsatsang, Kenneth M. Tichauer, Michael H. L. S. Wang, James B. Kowalkowski, Nik Sultana:
In-network fractional calculations using P4 for scientific computing workloads. EuroP4@CoNEXT 2022: 33-38
Informal and Other Publications
- 2023
- [i2]Tejin Cai, Kenneth Herner, Tingjun Yang, Michael Wang, Maria Acosta Flechas, Philip C. Harris, Burt Holzman, Kevin Pedro, Nhan Tran:
Accelerating Machine Learning Inference with GPUs in ProtoDUNE Data Processing. CoRR abs/2301.04633 (2023) - 2020
- [i1]Michael Wang, Tingjun Yang, Maria Acosta Flechas, Philip C. Harris, Benjamin Hawks, Burt Holzman, Kyle Knoepfel, Jeffrey D. Krupa, Kevin Pedro, Nhan Tran:
GPU-accelerated machine learning inference as a service for computing in neutrino experiments. CoRR abs/2009.04509 (2020)
Coauthor Index
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