About me

I am a Technical Lead (Research) & Machine Learning Researcher at Borealis AI. My work focuses on time series analysis in financial applications. In addition to time-series analysis, I’m also interested in deep generative models, especially automatic structured representation learning by combining deep learning, probabilistic graphical models and information theory.

Before joining Borealis AI, I completed my Ph.D. study under Dr. Greg Mori’s supervision from Simon Fraser University (Canada); my Master of Engineering study under Dr. Kai-Kuang Ma’s supervision from Nanyang Technological University (Singapore); and my Bachelor of Engineering from Zhejiang University (China).


  • One paper accepted to Machine Learning Journal!
  • One paper accepted to International Conference on Artificial Intelligence and Statistics (AISTATS) ‘21!
  • I am promoted to machine learning researcher!
  • I review for CVPR, ICCV, NeurIPS, WACV, ICML, TVC, IJCV, ICLR, etc.
  • One paper accepted to European conference on Computer Vision (ECCV) ‘20. See you (virtually) in UK!
  • Three papers accepted to 2nd Symposium on Advances in Approximate Bayesian Inference (AABI), one as spotlight!
  • One paper accepted to Learning with Temporal Point Processes workshop at NeurIPS ‘19.
  • Serving as local chair for 2nd Symposium on Advances in Approximate Bayesian Inference (AABI). Welcome to attend!
  • Joining Borealis AI as a research engineer starting October.
  • One paper accepted to MDALC workshop as spotlight at ICCV ‘19.
  • Two papers accepted to ICCV ‘19.
  • One paper accepted to CVPR ‘19! See you in Long Beach!
  • Presenting my ICLR paper at Vector Research Symposium, see you in Toronto!
  • One paper accepted to ICLR ‘19! See you in New Orleans!
  • Presenting two papers at NeurIPS workshops, see you in Montreal!
  • One paper accepted to Bayesian Deep Learning Workshop (NeurIPS ‘18)!
  • Our ECCV paper VideoVAE is featured in the ECCV Daily News!
  • I gave a poster presentation on VideoVAE at Vector Institute DLRL Summer School in University of Toronto.
  • March - November 2017, accepted a research internship position in Disney Research Pittsburgh.