I'm currently a Ph.D. student at Georgia Institute of Technology, working with Prof. Patricio Vela in the Intelligent Vision and Automation Lab (IVALab).

My research interests include visual odometry/SLAM, closed-loop navigation, range sensing and multi-object tracking. Throughout the 8+ years of experience on these topics, I obtain skills on multi-view geometry, image processing, numerical optimization, statistical / machine learning, and practical programming.

I received my M.S. and B.S. from the Department of EECS, Peking University, in 2013 and 2010 respectively.

Academic & Industry Experience

  • Computer Vision research intern @MagicLeap. May. 2017 - Aug. 2017
    • I worked on line-assisted 6DoF pose tracking in low-texture indoor environments.


  • Computer Vision research intern @Clips team, Google. May. 2016 - Aug. 2016
    • I worked on quasi-dense visual feature tracking for wide-baseline video stabilization.


  • PhD Candidate @IVALab, Institute for Robotics and Intelligent Machines, Georgia Tech. Aug. 2013 - May. 2019 (projected)
    • I work with Prof. Patricio Vela on efficient, accurate Visual SLAM.
    • Specifically, I am interested in constructing a compact yet accuracy-preserving optimization problem that can be solved efficiently for pose tracking and mapping modules.
    • The direct applications of my research include: 1) on-board state estimation for small robots such as drones, 2) augmented reality devices.


  • Research intern @GM Collaborative Research Lab, Robotics Institute, Carnegie Mellon University. Jan. 2013 - May. 2013
    • I worked with Dr. John M. Dolan on the tasks of segmentation and tracking, using point cloud data from multiple LiDAR sensors mounted on an autonomous vehicle.



  • Research assistant @POSS Group, Peking University Dec. 2008 - Jul. 2013
    • I worked with Prof. Huijing Zhao on segmentation, moving object tracking, and semantic mapping using 3D point cloud data.

Sensing Platforms I Worked On