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Joshua Yao-Yu Lin
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Year
Boosting with machine learning
J Lin, M Freytsis, I Moult, B Nachman
Journal of High Energy Physics 2018 (10), 1-25, 2018
902018
Deblending and classifying astronomical sources with Mask R-CNN deep learning
CJ Burke, PD Aleo, YC Chen, X Liu, JR Peterson, GH Sembroski, JYY Lin
Monthly Notices of the Royal Astronomical Society 490 (3), 3952-3965, 2019
792019
A deep-learning approach for live anomaly detection of extragalactic transients
VA Villar, M Cranmer, E Berger, G Contardo, S Ho, G Hosseinzadeh, ...
The Astrophysical Journal Supplement Series 255 (2), 24, 2021
442021
Large-scale gravitational lens modeling with bayesian neural networks for accurate and precise inference of the Hubble constant
JW Park, S Wagner-Carena, S Birrer, PJ Marshall, JYY Lin, A Roodman, ...
The Astrophysical Journal 910 (1), 39, 2021
392021
deeplenstronomy: A dataset simulation package for strong gravitational lensing
R Morgan, B Nord, S Birrer, JYY Lin, J Poh
arXiv preprint arXiv:2102.02830, 2021
162021
Galaxy morphological classification with efficient vision transformer
JYY Lin, SM Liao, HJ Huang, WT Kuo, OHM Ou
arXiv preprint arXiv:2110.01024, 2021
102021
A Semi-supervised Graph Attentive Network for Financial Fraud Detection. In< i> 2019 IEEE International Conference on Data Mining (ICDM)</i>, 598-607
D Wang, J Lin, P Cui, Q Jia, Z Wang, Y Fang, Q Yu, J Zhou, S Yang, Y Qi
IEEE, 2019
62019
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
52022
Learning Principle of Least Action with Reinforcement Learning
Z Jin, JYY Lin, SF Li
arXiv preprint arXiv:2011.11891, 2020
42020
Hunting for dark matter Subhalos in strong gravitational lensing with neural networks
JYY Lin, H Yu, W Morningstar, J Peng, G Holder
arXiv preprint arXiv:2010.12960, 2020
42020
Anomaly detection for multivariate time series of exotic supernovae
VA Villar, M Cranmer, G Contardo, S Ho, JYY Lin
arXiv preprint arXiv:2010.11194, 2020
42020
Gravitational lensing of the cosmic neutrino background
JYY Lin, G Holder
Journal of Cosmology and Astroparticle Physics 2020 (04), 054, 2020
42020
Supsiam: Non-contrastive auxiliary loss for learning from molecular conformers
M Maser, JW Park, JYY Lin, JH Lee, NC Frey, A Watkins
arXiv preprint arXiv:2302.07754, 2023
32023
Inferring black hole properties from astronomical multivariate time series with Bayesian attentive neural processes
JW Park, A Villar, Y Li, YF Jiang, S Ho, JYY Lin, PJ Marshall, A Roodman
arXiv preprint arXiv:2106.01450, 2021
32021
Feature Extraction on Synthetic Black Hole Images
JYY Lin, GN Wong, BS Prather, CF Gammie
arXiv preprint arXiv:2007.00794, 2020
32020
AGNet: weighing black holes with deep learning
JYY Lin, S Pandya, D Pratap, X Liu, M Carrasco Kind, V Kindratenko
Monthly Notices of the Royal Astronomical Society 518 (4), 4921-4929, 2023
22023
Agnet: Weighing black holes with machine learning
JYY Lin, S Pandya, D Pratap, X Liu, MC Kind
arXiv preprint arXiv:2011.15095, 2020
12020
Hunting for Dark Matter Subhalos in Strong Gravitational Lensing with Neural Networks
J Yao-Yu Lin, H Yu, W Morningstar, J Peng, G Holder
arXiv e-prints, arXiv: 2010.12960, 2020
12020
Impact of Gravitational Slingshot of Dark Matter on Galactic Halo Profiles
P Chen, YS Duh, L Labun, YY Lin
arXiv preprint arXiv:1412.2258, 2014
12014
MolSiam: Simple Siamese Self-supervised Representation Learning for Small Molecules
JYY Lin, P Design, M Maser, N Frey, G Scalia, G gRED, O Mahmood, ...
NeurIPS 2023 Workshop on New Frontiers of AI for Drug Discovery and Development, 2023
2023
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