Hi! Welcome to Zejiang's Homepage.

Zejiang Shen is a data science and deep learning researcher.

Currently, Zejiang Shen is a Data Science Fellow at the Institute for Quantitative Social Science (IQSS) at Harvard University. He works closely with Prof. Melissa Dell using deep learning tools to distill important economic information for historical scans and analyze the extracted text.

He obtained his master’s degree from Data Science Initiative (DSI) at Brown University. He was supervised by Prof. James Tompkin on several image translation and generation projects using Generative Adversarial Nets (GAN).

Recent News

2020 Mar

Presented at the Kaggle Days Meetup Boston for our recent work on information retrieval over historical documents. Presentation Slides.

2020 Jan

Please check our new preprint - Generating Object Stamps

2019 Nov

Presented two posters about dialogue systems at the Natural Language, Dialog and Speech (NDS) Symposium at the New York Academy of Sciences