Yuanjun Gao

According to our database, Yuanjun Gao authored at least 8 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

SuperLoc: The Key to Robust Lidar-Inertial Localization Lies in Predicting Alignment Risks Superodometry.Com/SuperLoc.

Shibo Zhao, Honghao Zhu, Yuanjun Gao, Beomsoo Kim, Yuheng Qiu, Aaron M. Johnson, Sebastian A. Scherer

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

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, Sebastian A. Scherer

CoRR, 2024

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, Shaoshu Su, Can Xu, John Keller, Jay Karhade, Lucas Nogueira, Sourojit Saha, Ji Zhang, Wenshan Wang, Chen Wang, Sebastian A. Scherer

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

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, Yuheng Qiu, Sourojit Saha, Chen Wang, Wenshan Wang, Sebastian A. Scherer

CoRR, 2023

2020

Disentangled Sticky Hierarchical Dirichlet Process Hidden Markov Model.

Ding Zhou, Yuanjun Gao, Liam Paninski

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

2017

Maximum Entropy Flow Networks.

Gabriel Loaiza-Ganem, Yuanjun Gao, John P. Cunningham

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Linear dynamical neural population models through nonlinear embeddings.

Yuanjun Gao, Evan W. Archer, Liam Paninski, John P. Cunningham

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

High-dimensional neural spike train analysis with generalized count linear dynamical systems.

Yuanjun Gao, Lars Buesing, Krishna V. Shenoy, John P. Cunningham

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015