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Tianbo Liu
ORCID
Publication Activity (10 Years)
Years Active: 2020-2021
Publications (10 Years): 5
Top Topics
Network Simulator
Monte Carlo Simulation
Machine Learning Approaches
Event Detection
Top Venues
CoRR
IJCAI
ICMLA
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Publications
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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)
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)
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
(2021)
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)
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
(2020)