Detection, Instance Segmentation, and Classification for Astronomical Surveys with Deep Learning (DeepDISC) from Merz et al. 2023, MNRAS, 526, 1122
The code is publicly available here and is integrated within RAIL for LSST photo-z estimation.
AGNet: Weighing Black Holes with Deep Learning from Lin et al. 2023, MNRAS, 518, 4921
The code is publicly available here. 
Astro R-CNN: Instance Segmentation in Astronomical Images using Mask R-CNN Deep Learning from Burke et al. 2019, MNRAS, 490, 3952
The code is publicly available here.
PyQSOFit: A General Purpose Code to Fit the Spectra of Quasars from Shen et al. 2019, ApJS, 241, 34
The code is publicly available here.
Luminous Type 2 AGNs with Double-peaked Narrow Emission Lines at Intermediate Redshifts (z~0.5) from Lyu & Liu 2016, MNRAS, 463, 24
Table 1 is available here in the electronic version of the paper. It can also be downloaded here.
Quasars with Kinematically Offset Broad Balmer Emission Lines from Liu et al. 2014, ApJ, 789, 140
Table 1 is available here in the electronic version of the paper. It can also be downloaded here.
A Statistical Sample of AGN Pairs on <~5–100 kpc Scales from the SDSS, Liu et al. 2011, ApJ, 737, 101
Table 1 is available here in the electronic version of the paper. It can also be downloaded here.
Type 2 AGNs with Double-peaked Narrow Emission Lines at Low Redshifts (z~0.1) from Liu et al. 2010, ApJ, 708, 427
Table 1 is available here in the electronic version of the paper. It can also be downloaded here.
Model Parameters for Estimating the Equilibrium Planetary Radius and Equilibration Timescale for Extrasolar Giant Planets Undergoing Core Heating from Liu, Burrows & Ibgui 2008, ApJ, 687, 1191
Table 3 is available here in the electronic version of the paper.