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).
Please check our new preprint - Generating Object Stamps
Presented two posters about dialogue systems at the Natural Language, Dialog and Speech (NDS) Symposium at the New York Academy of Sciences