| Contrasting galaxy formation from quantum wave dark matter, ψDM, with ΛCDM, using Planck and Hubble data HY Schive, T Chiueh, T Broadhurst, KW Huang The Astrophysical Journal 818 (1), 89, 2016 | 222 | 2016 |
| BlueTides simulation: establishing black hole−galaxy relations at high redshift KW Huang, T Di Matteo, AK Bhowmick, Y Feng, CP Ma Monthly Notices of the Royal Astronomical Society 478 (4), 5063-5073, 2018 | 35 | 2018 |
| Search for globular clusters associated with the Milky Way dwarf galaxies using Gaia DR2 KW Huang, SE Koposov Monthly Notices of the Royal Astronomical Society 500 (1), 986-997, 2021 | 21 | 2021 |
| The early growth of supermassive black holes in cosmological hydrodynamic simulations with constrained Gaussian realizations KW Huang, Y Ni, Y Feng, T Di Matteo Monthly Notices of the Royal Astronomical Society 496 (1), 1-12, 2020 | 20 | 2020 |
| Strong gravitational lensing parameter estimation with vision transformer KW Huang, GCF Chen, PW Chang, SC Lin, CJ Hsu, V Thengane, JYY Lin European Conference on Computer Vision, 143-153, 2022 | 5 | 2022 |
| Identifying RR Lyrae in the ZTF DR3 data set KW Huang, SE Koposov Monthly Notices of the Royal Astronomical Society 510 (3), 3575-3588, 2022 | 3 | 2022 |
| LenSiam: Self-Supervised Learning on Strong Gravitational Lens Images PW Chang, KW Huang, J Fagin, JHH Chan, JYY Lin arXiv preprint arXiv:2311.10100, 2023 | | 2023 |
| Identifying RR Lyrae Variables and Globular Clusters in the Milky Way and Simulating Supermassive Black Hole Early Evolution KW Huang Carnegie Mellon University, 2021 | | 2021 |
| Numerically solving the Schrödinger equation in hydrodynamic form KW Huang National Taiwan University, 2016 | | 2016 |
| Augmentation Matters: Representation Learning for Strong Gravitational Lensing KW Huang, PW Chang, J Fagin, JHH Chan, JYY Lin | | |
Tom BroadhurstIkerbasque Prof., University of the Basque Country & DIPCVerified email at ehu.es
