High-dimensional neural spike train analysis with generalized count linear dynamical systems. - Yuanjun Gao; Lars Buesing; Krishna V. Shenoy; John P. Cunningham (NIPS, 2015)

Linear dynamical neural population models through nonlinear embeddings. - Yuanjun Gao; Evan W. Archer; Liam Paninski; John P. Cunningham (NIPS, 2016)

Maximum Entropy Flow Networks. - Gabriel Loaiza-Ganem; Yuanjun Gao; John P. Cunningham (ICLR (Poster), 2017)

Disentangled Sticky Hierarchical Dirichlet Process Hidden Markov Model. - Ding Zhou; Yuanjun Gao; Liam Paninski (ECML/PKDD (1), 2020)

SubT-MRS: A Subterranean, Multi-Robot, Multi-Spectral and Multi-Degraded Dataset for Robust SLAM. - Shibo Zhao; Damanpreet Singh; Haoxiang Sun; Rushan Jiang; Yuanjun Gao; Tianhao Wu; Jay Karhade; Chuck Whittaker; Ian Higgins; Jiahe Xu 002; Yuheng Qiu; Sourojit Saha; et al. (CoRR, 2023)

SubT-MRS Dataset: Pushing SLAM Towards All-weather Environments. - Shibo Zhao; Yuanjun Gao; Tianhao Wu; Damanpreet Singh; Rushan Jiang; Haoxiang Sun; Mansi Sarawata; Yuheng Qiu; Warren Whittaker; Ian Higgins; Yi Du 001; Shaoshu Su; et al. (CVPR, 2024)

SuperLoc: The Key to Robust LiDAR-Inertial Localization Lies in Predicting Alignment Risks. - Shibo Zhao; Honghao Zhu; Yuanjun Gao; Beomsoo Kim; Yuheng Qiu; Aaron M. Johnson 001; Sebastian A. Scherer (CoRR, 2024)