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Siyu He
Siyu He
Software engineer, Waymo
Verified email at waymo.com
Title
Cited by
Cited by
Year
The quijote simulations
F Villaescusa-Navarro, CH Hahn, E Massara, A Banerjee, AM Delgado, ...
The Astrophysical Journal Supplement Series 250 (1), 2, 2020
2742020
Learning to predict the cosmological structure formation
S He, Y Li, Y Feng, S Ho, S Ravanbakhsh, W Chen, B Póczos
Proceedings of the National Academy of Sciences 116 (28), 13825-13832, 2019
2192019
CosmoFlow: Using deep learning to learn the universe at scale
A Mathuriya, D Bard, P Mendygral, L Meadows, J Arnemann, L Shao, ...
SC18: International Conference for High Performance Computing, Networking …, 2018
1282018
Constraining gravity at the largest scales through CMB lensing and galaxy velocities
AR Pullen, S Alam, S He, S Ho
Monthly Notices of the Royal Astronomical Society 460 (4), 4098-4108, 2016
892016
Detecting galaxy–filament alignments in the Sloan Digital Sky Survey III
YC Chen, S Ho, J Blazek, S He, R Mandelbaum, P Melchior, S Singh
Monthly Notices of the Royal Astronomical Society 485 (2), 2492-2504, 2019
382019
The detection of the imprint of filaments on cosmic microwave background lensing
S He, S Alam, S Ferraro, YC Chen, S Ho
Nature Astronomy 2 (5), 401-406, 2018
292018
From dark matter to galaxies with convolutional networks
X Zhang, Y Wang, W Zhang, Y Sun, S He, G Contardo, ...
arXiv preprint arXiv:1902.05965, 2019
182019
Learning Neutrino Effects in Cosmology with Convolutional Neural Network
E Giusarma, M Reyes, F Villaescusa-Navarro, S He, S Ho, CH Hahn
The Astrophysical Journal 950 (1), 70, 2023
132023
Higan: Cosmic neutral hydrogen with generative adversarial networks
J Zamudio-Fernandez, A Okan, F Villaescusa-Navarro, S Bilaloglu, ...
arXiv preprint arXiv:1904.12846, 2019
112019
Analysis of cosmic microwave background with deep learning
S He, S Ravanbakhsh, S Ho
72018
Prabhat, and V. Lee,“Cosmoflow: Using deep learning to learn the universe at scale,”
A Mathuriya, D Bard, P Mendygral, L Meadows, J Arnemann, L Shao, ...
Proceedings of the International Conference for High Performance Computing …, 0
7
HIGAN: cosmic neutral hydrogen with generative adversarial networks. arXiv e-prints
J Zamudio-Fernandez, A Okan, F Villaescusa-Navarro, S Bilaloglu, ...
arXiv preprint arXiv:1904.12846, 2019
62019
Simple lessons from complex learning: what a neural network model learns about cosmic structure formation
D Jamieson, Y Li, S He, F Villaescusa-Navarro, S Ho, RA de Oliveira, ...
PNAS nexus 2 (4), pgac250, 2023
12023
Innovative Techniques to Address the Non-linearity of the Large Scale Structure of the Universe
S He
Carnegie Mellon University, 2019
2019
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Articles 1–14