Full lists can be found on my ArXiv

First Author/ PI

Strong Gravitational Lensing Parameter Estimation with Vision Transformer
Kuan-Wei Huang*, Geoff Chih-Fan Chen*, Po-Wen Chang, Sheng-Chieh Lin, Chia-Jung Hsu, Vishal Thengane, Joshua Yao-Yu Lin*(ECCV 2022 AI4Space workshop , arXiv:2210.04143)

VLBInet: Radio Interferometry Data Classification for Event Horizon Telescope with Neural Networks
Joshua Yao-Yu Lin*, Dominic Pesce, George N. Wong, Ajay Uppili Arasanipalai, Ben S. Prather, Charles F. Gammie(submit to APJ, arXiv:2110.07185)

Galaxy Morphological Classification with Efficient Vision Transformer
Joshua Yao-Yu Lin*, Song-Mao Liao*, Hung-Jin Huang*, Wei-Ting Kuo*, Olivia Hsuan-Min Ou (NeurIPS workshop 2021 , arXiv:2110.01024)

AGNet: Weighing Black Holes with Deep Learning
Joshua Yao-Yu Lin*, Sneh Pandya*, Devanshi Pratap, Xin Liu, Matias Carrasco Kind, Volodymyr Kindratenko (MNRAS , arXiv:2108.07749)

AGNet: Weighing Black Holes with Machine Learning
Joshua Yao-Yu Lin*, Sneh Pandya*, Devanshi Pratap, Xin Liu, Matias Carrasco Kind (NeurIPS workshop 2020 , arXiv:2011.15095)

Feature Extraction on Synthetic Black Hole Images
Joshua Yao-Yu Lin, George N. Wong, Ben S. Prather, Charles F. Gammie (ICML workshop 2020 , arXiv:2007.00794)

Hunting for Dark Matter Subhalos in Strong Gravitational Lensing with Neural Networks
Joshua Yao-Yu Lin*, Hang Yu*, Warren Morningstar, Jian Peng, Gilbert Holder (NeurIPS workshop 2019 , arXiv:2010.12960)

Learning Principle of Least Action with Reinforcement Learning
Zehao Jin*, Joshua Yao-Yu Lin*, Siao-Fong Li (AAAI-MLPS workshop 2021 , arXiv:2011.11891)

Gravitational Lensing of the Cosmic Neutrino Background
Joshua Yao-Yu Lin, Gilbert Holder (JCAP, arXiv:1910.03550)

Contributing Author

Deeplenstronomy: A dataset simulation package for strong gravitational lensing
Robert Morgan, Brian Nord, Simon Birrer, Joshua Yao-Yu Lin, Jason Poh (JOSS, arXiv:2102.02830)

Large-Scale Gravitational Lens Modeling with Bayesian Neural Networks for Accurate and Precise Inference of the Hubble Constant
Ji Won Park, Sebastian Wagner-Carena, Simon Birrer, Philip J. Marshall, Joshua Yao-Yu Lin, Aaron Roodman (arXiv:2012.00042)

Anomaly Detection for Multivariate Time Series of Exotic Supernovae
V. Ashley Villar, Miles Cranmer, Gabriella Contardo, Shirley Ho, Joshua Yao-Yu Lin (NeurIPS workshop 2020 , arXiv:2010.11194)

Time Delay Lens modelling Challenge: II. Results
X. Ding et al., + Joshua Yao-Yu Lin (arXiv:2006.08619)

Deblending and Classifying Astronomical Sources with Mask R-CNN Deep Learning
Colin J. Burke, Patrick D. Aleo, Yu-Ching Chen, Xin Liu, John R. Peterson, Glenn H. Sembroski, Joshua Yao-Yu Lin (MNRAS, arXiv:1908.02748)