Lu Xu
Postdoc Researcher, Team ApproxBayes, Riken AIP
lu.xu.sw/at/ or Lu.Xu.phD/at/


  • I'm currently focusing on developing and analyzing learning algorithms with Bayesian statistics to make the learning process more flexible and robust to unseen environment.
  • I'm also interested in interpreting the deep learning algorithms and making them more accountable.


Xi'an Jiaotong University
2021 - 2014
Ph.D. Machine learning & Computer vision
Studied at Cognitive, Linguistic & Psychological Sciences, Brown University as a visiting student, 2016 -2018.
Xi'an Jiaotong University
2011 - 2014
M.Sc. Control Theory & Control Engineering
Beijing Jiaotong University
2007 - 2011
B.Sc. Electrical & Electronic Engineering


  • I joined Team ApproxBayes as a Postdoc researcher , Nov 2021.
  • I successfully defended my thesis and completed my PhD at Xi’an Jiaotong University , Oct. 2021.

Recent Publications

Custom Subtitle: see my google scholar for the latest list
Semi-supervised regression with manifold: A Bayesian deep kernel learning approach, 2022, NeuroComputing
Lu Xu , Chen Hu, Kuizhi Mei
Your Paper Name Goes Here, 2018, Journal of Machine Learning
Your Full Name , Another Researcher
Deep Conditional Variational Estimation for Depth-Based Hand Poses, , In 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019) (Fully oral presentation)
Lu Xu , Chen Hu, Yinqi Li, Jianru Xue, and Kuizhi Mei
Improve Regression Network on Depth Hand Pose Estimation with Auxiliary Variable, , IEEE Transactions on Circuits and Systems for Video Technology
Lu Xu , Chen Hu, Ji’an Tao, Jianru Xue and Kuizhi Mei