Scalable Variational Inference for Super Resolution Microscopy. - Ruoxi Sun 006; Evan Archer; Liam Paninski (AISTATS, 2017)

Scalable Approximate Bayesian Inference for Particle Tracking Data. - Ruoxi Sun 006; Liam Paninski (ICML, 2018)

Scalable Bayesian inference of dendritic voltage via spatiotemporal recurrent state space models. - Ruoxi Sun 006; Scott W. Linderman; Ian Kinsella; Liam Paninski (NeurIPS, 2019)

Modern Statistical/Machine Learning Techniques for Bio/Neuro-imaging Applications. - Ruoxi Sun 006 (2019)

Statistical Atlas of C. elegans Neurons. - Erdem Varol; Amin Nejatbakhsh; Ruoxi Sun 006; Gonzalo E. Mena; Eviatar Yemini; Oliver Hobert; Liam Paninski (MICCAI (5), 2020)