About Me

I’m currently a Senior Applied Scientist in AWS Shanghai AI Lab. I worked for AWS in Palo Alto from Feb. 2018, and moved to Shanghai since Sep. 2019. I got my Master’s degree in Computing Science from Simon Fraser University in 2016, under the supervision of Prof. Martin Ester. My research interests are mainly on computer vision and machine learning.


  • Sep 2022: Our papers Learning Manifold Dimensions with Conditional Variational Autoencoders and Self-supervised Amodal Video Object Segmentation are accepted by NeurIPS 2022!

  • Jun 2022: Our paper PSS: Progressive Sample Selection for Open-World Visual Representation Learning(code) is accepcted by ECCV 2022!

  • Dec 2021: Our paper Improving Semantic Segmentation via Efficient Self-Training(paper) is accepted by TPAMI!

  • Sep 2021: Our papers GRIN: Generative Relation and Intention Network for Multi-agent Trajectory Prediction(paper, code) and Progressive Coordinate Transforms for Monocular 3D Object Detection(paper, code) are accepted by NeurIPS 2021!


See Publications.

Open Source Projects

I’m a committer in the following open source projects:

I maintained/created the following R package on CRAN:

Work Experience

  • Applied Scientist, Amazon Web Services, Feb 2018 - Present
  • Embedded Software Developer, Fortinet, Nov 2016 - Oct 2017
  • Bioinformatician Intern, Contextual Genomics, Apr 2016 - Jul 2016
  • Data Scientist, Supstat Inc, Mar 2014 - Aug 2014
  • Algorithm Engineer Intern, Douban, Jul 2013 - Oct 2013


  • M.S. in Computer Science, School of Computing Science, Simon Fraser University, 2016
  • B.S. in Statistics, Department of Mathematics and Computer Science, Sun Yat-Sen University, 2013

Selected Awards