Hi! Welcome to Zejiang's Homepage.

Zejiang (Shannon) Shen is a deep learning researcher, working on Natural Language Processing(NLP) and Computer Vision(CV) models for Document Intelligence(DI). Currently, he is a Predoctoral Young Investigator at Allen Institute for AI (AI2), and focuses on building NLP models for better understanding scientific documents.

Before joining AI2, Zejiang Shen was a Data Science Fellow at the Institute for Quantitative Social Science (IQSS) at Harvard University. Supervised by Prof. Melissa Dell, he implemented deep learning models, curated datasets, and developed libraries that enables efficient and accurate processing of large-scale Japanese historical documents and historical newspapers.

During his master studies at Brown University, he worked on generative vision models under the supervision of Prof. James Tompkin, and participated in various data science challenges.

Recent News

2021 Apr

The LayoutParser paper and website has finally been released!

2021 Jan

My colleagues and I have built a novel tool for PDF annotation, PAWLS. Please check the paper, Github repo, and video.

2020 Oct

Joined in AI2 as a Predoctoral Young Investigator.