most citedOGNet: Towards a Global Oil and Gas Infrastructure Database using Deep Learning on Remotely Sensed Imagery

16 citations · 36 across the 6 of their papers we have counts for

collaborators

9 papers

cs.LG20211 cited

Probability Paths and the Structure of Predictions over Time

Zhiyuan Jerry Lin, Hao Sheng, Sharad Goel

In settings ranging from weather forecasts to political prognostications to financial projections, probability estimates of future binary outcomes often evolve over time. For examp…

cs.LG2021

Learning Neighborhood Representation from Multi-Modal Multi-Graph: Image, Text, Mobility Graph and Beyond

Tianyuan Huang, Zhecheng Wang, Hao Sheng +2

Recent urbanization has coincided with the enrichment of geotagged data, such as street view and point-of-interest (POI). Region embedding enhanced by the richer data modalities ha…

cs.CY2021

Surveilling Surveillance: Estimating the Prevalence of Surveillance Cameras with Street View Data

Hao Sheng, Keniel Yao, Sharad Goel

The use of video surveillance in public spaces -- both by government agencies and by private citizens -- has attracted considerable attention in recent years, particularly in light…

cs.CY2020

AGenT Zero: Zero-shot Automatic Multiple-Choice Question Generation for Skill Assessments

Eric Li, Jingyi Su, Hao Sheng +1

Multiple-choice questions (MCQs) offer the most promising avenue for skill evaluation in the era of virtual education and job recruiting, where traditional performance-based altern…

cs.CV202016 cited

OGNet: Towards a Global Oil and Gas Infrastructure Database using Deep Learning on Remotely Sensed Imagery

Hao Sheng, Jeremy Irvin, Sasankh Munukutla +10

At least a quarter of the warming that the Earth is experiencing today is due to anthropogenic methane emissions. There are multiple satellites in orbit and planned for launch in t…

cs.CV202010 cited

ForestNet: Classifying Drivers of Deforestation in Indonesia using Deep Learning on Satellite Imagery

Jeremy Irvin, Hao Sheng, Neel Ramachandran +7

Characterizing the processes leading to deforestation is critical to the development and implementation of targeted forest conservation and management policies. In this work, we de…