activity
20182021
most citedA new direction to promote the implementation of artificial intelligence in natural clinical settings

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.AI2021

OpenClinicalAI: enabling AI to diagnose diseases in real-world clinical settings

Yunyou Huang, Nana Wang, Suqin Tang +10

This paper quantitatively reveals the state-of-the-art and state-of-the-practice AI systems only achieve acceptable performance on the stringent conditions that all categories of s…

eess.SP2019

LoadCNN: A Low Training Cost Deep Learning Model for Day-Ahead Individual Residential Load Forecasting

Yunyou Huang, Nana Wang, Wanling Gao +4

Accurate day-ahead individual residential load forecasting is of great importance to various applications of smart grid on day-ahead market. Deep learning, as a powerful machine le…

cs.AI20191 cited

A new direction to promote the implementation of artificial intelligence in natural clinical settings

Yunyou Huang, Zhifei Zhang, Nana Wang +4

Artificial intelligence (AI) researchers claim that they have made great `achievements' in clinical realms. However, clinicians point out the so-called `achievements' have no abili…

cs.DS2018

Clustering Residential Electricity Load Curves via Community Detection in Network

Yunyou Huang, Jianfeng Zhan, Nana Wang +3

Performing analytic of household load curves (LCs) has significant value in predicting individual electricity consumption patterns, and hence facilitate developing demand-response…

cs.OH2018

A veracity preserving model for synthesizing scalable electricity load profiles

Yunyou Huang, Jianfeng Zhan, Chunjie Luo +5

Electricity users are the major players of the electric systems, and electricity consumption is growing at an extraordinary rate. The research on electricity consumption behaviors…