168 citations · 197 across the 6 of their papers we have counts for
7 papers
Statistical Tests for Replacing Human Decision Makers with Algorithms
Kai Feng, Han Hong, Ke Tang +1
This paper proposes a statistical framework of using artificial intelligence to improve human decision making. The performance of each human decision maker is benchmarked against t…
An AI-assisted Economic Model of Endogenous Mobility and Infectious Diseases: The Case of COVID-19 in the United States
Lin William Cong, Ke Tang, Bing Wang +1
We build a deep-learning-based SEIR-AIM model integrating the classical Susceptible-Exposed-Infectious-Removed epidemiology model with forecast modules of infection, community mobi…
Deep Sequence Modeling: Development and Applications in Asset Pricing
Lin William Cong, Ke Tang, Jingyuan Wang +1
We predict asset returns and measure risk premia using a prominent technique from artificial intelligence -- deep sequence modeling. Because asset returns often exhibit sequential…
Interpreting Deep Learning Model Using Rule-based Method
Xiaojian Wang, Jingyuan Wang, Ke Tang
Deep learning models are favored in many research and industry areas and have reached the accuracy of approximating or even surpassing human level. However they've long been consid…
A knowledge transfer model for COVID-19 predicting and non-pharmaceutical intervention simulation
Jingyuan Wang, Xin Lin, Yuxi Liu +3
Since December 2019, A novel coronavirus (2019-nCoV) has been breaking out in China, which can cause respiratory diseases and severe pneumonia. Mathematical and empirical models re…
Impact of Temperature and Relative Humidity on the Transmission of COVID-19: A Modeling Study in China and the United States
Jingyuan Wang, Ke Tang, Kai Feng +4
Objectives: We aim to assess the impact of temperature and relative humidity on the transmission of COVID-19 across communities after accounting for community-level factors such as…
Decision Making with Machine Learning and ROC Curves
Kai Feng, Han Hong, Ke Tang +1
The Receiver Operating Characteristic (ROC) curve is a representation of the statistical information discovered in binary classification problems and is a key concept in machine le…