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).
Our recent work, HJDataset, has been accepted at CVPR2020 Workshop on Text and Documents in the Deep Learning Era. Please check the project website and preprints.