Wenjie Zi

Senior Research Engineer

MSc Applied Computing, University of Toronto

Wenjie is currently a senior research engineer at Borealis AI. Her career passion is applying machine learning to impactful real world problems that help optimize people's life. She has touched on a variety of topics including NLU, computer vision and recommendation system during her current and past projects in the industry.

Wenjie received her master degree from University of Toronto MScAC program, and bachelor degree in CS from Sun-Yet Sen University, China.

Research Areas

Natural Language Processing

Computer Vision

Publications

June 3, 2021 Optimizing Deeper Transformers on Small Datasets

Association for Computational Linguistics (ACL), 2021

Authors: P. Xu , D. Kumar, W. Yang , W. Zi , K. Tang , C. Huang , J. Chi Kit Cheung, S. Prince, Y. Cao

Abstract Paper BibTeX

June 3, 2021 TURING: an Accurate and Interpretable Multi-Hypothesis Cross-Domain Natural Language Database Interface

Association for Computational Linguistics (ACL), 2021

Authors: *P. Xu , *W. Zi , H. Shahidi , A. Kádár , K. Tang , W. Yang , J. Ateeq , H. Barot , M. Alon , Y. Cao

* Denotes equal contribution

Abstract Paper BibTeX