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.
News
Sep 2023: Our paper Compatible Transformer for Irregularly Sampled Multivariate Time Series is accepted by ICDM 2023!
Jul 2023: We have four papers, Unsupervised Open-Vocabulary Object Localization in Videos(paper), Object-centric Multiple Object Tracking(paper, code), Coarse-to-Fine Amodal Segmentation with Shape Prior,(paper, code), and Rethinking Amodal Video Segmentation from Learning Supervised Signals with Object-centric Representation(paper, code), accepted by ICCV 2023!
May 2023: Our paper LayoutDiffuse: Adapting Foundational Diffusion Models for Layout-to-Image Generation(paper, code) is accepted by the AI4CC workshop in CVPR 2023!
Jan 2023: Our paper Bridging the Gap to Real-World Object-Centric Learning(paper, code) is accepted by ICLR 2023!
Sep 2022: Our papers Learning Manifold Dimensions with Conditional Variational Autoencoders(paper, code) and Self-supervised Amodal Video Object Segmentation(paper) are accepted by NeurIPS 2022!
Publications
Please refer to 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
Education
- 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