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ORCIDTianbo Liu 0004
Person information
- affiliation: Shandong University, Institute of Frontier and Interdisciplinary Science, Qingdao, China
- affiliation (2017 - 2019): Thomas Jefferson National Accelerator Facility, Newport News, VA, US
- affiliation (2015 - 2019): Duke University, Department of Physics, Durham, NC, USA
- affiliation (PhD 2015): Peking University, Department of Physics, Beijing, China
Other persons with the same name
- Tianbo Liu 0001
![[0000-0003-2845-4349]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-2845-4349")
— Hong Kong University of Science and Technology, Hong Kong - Tianbo Liu 0002 — Shenyang Jianzhu University, School of Information and Control Engineering, China
- Tianbo Liu 0003 — Beijing Institute of Technology, School of Mechatronical Engineering, Intelligent Robotics Institute, China
- Tianbo Liu 0005 — Jilin University, College of Computer Science and Technology, Changchun, China
- Tianbo Liu 0006 — University of Science and Technology of China, Hefei, China
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2020 – today
- 2021
[c3]Yasir Alanazi, Nobuo Sato, Tianbo Liu, Wally Melnitchouk, Pawel Ambrozewicz, Florian Hauenstein, Michelle P. Kuchera, Evan Pritchard, Michael Robertson, Ryan R. Strauss, Luisa Velasco, Yaohang Li:
Simulation of Electron-Proton Scattering Events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN). IJCAI 2021: 2126-2132- [c2]Yasir Alanazi, Nobuo Sato, Pawel Ambrozewicz, Astrid N. Hiller Blin, Wally Melnitchouk, Marco Battaglieri, Tianbo Liu, Yaohang Li:
A Survey of Machine Learning-Based Physics Event Generation. IJCAI 2021: 4286-4293 - [i2]Yasir Alanazi, Nobuo Sato, Pawel Ambrozewicz, Astrid N. Hiller Blin, W. Melnitchouk, Marco Battaglieri, Tianbo Liu, Yaohang Li:
A survey of machine learning-based physics event generation. CoRR abs/2106.00643 (2021) - 2020
- [c1]Luisa Velasco, Evan McClellan, Nobuo Sato, Pawel Ambrozewicz, Tianbo Liu, W. Melnitchouk, Michelle P. Kuchera, Yasir Alanazi, Yaohang Li:
cFAT-GAN: Conditional Simulation of Electron-Proton Scattering Events with Variate Beam Energies by a Feature Augmented and Transformed Generative Adversarial Network. ICMLA 2020: 372-375 - [i1]Yasir Alanazi, Nobuo Sato, Tianbo Liu, W. Melnitchouk, Michelle P. Kuchera, Evan Pritchard, Michael Robertson, Ryan R. Strauss, Luisa Velasco, Yaohang Li:
Simulation of electron-proton scattering events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN). CoRR abs/2001.11103 (2020)
Coauthor Index
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