Hao Sheng

According to our database, Hao Sheng authored at least 11 papers between 2020 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Detecting Neighborhood Gentrification at Scale via Street-level Visual Data.

Tianyuan Huang, Timothy Dai, Zhecheng Wang, Hesu Yoon, Hao Sheng, Andrew Y. Ng, Ram Rajagopal, Jackelyn Hwang

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Bandit algorithms to personalize educational chatbots.

William Cai, Josh Grossman, Zhiyuan (Jerry) Lin, Hao Sheng, Johnny Tian-Zheng Wei, Joseph Jay Williams, Sharad Goel

Mach. Learn., 2021

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

Tianyuan Huang, Zhecheng Wang, Hao Sheng, Andrew Y. Ng, Ram Rajagopal

CoRR, 2021

Probability Paths and the Structure of Predictions over Time.

Zhiyuan (Jerry) Lin, Hao Sheng, Sharad Goel

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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

Hao Sheng, Keniel Yao, Sharad Goel

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

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

Eric Li, Jingyi Su, Hao Sheng, Lawrence Wai

CoRR, 2020

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

Hao Sheng, Jeremy Irvin, Sasankh Munukutla, Shawn Zhang, Christopher Cross, Kyle Story, Rose Rustowicz, Cooper Elsworth, Zutao Yang, Mark Omara, Ritesh Gautam, Robert B. Jackson, Andrew Y. Ng

CoRR, 2020

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

Jeremy Irvin, Hao Sheng, Neel Ramachandran, Sonja Johnson-Yu, Sharon Zhou, Kyle Story, Rose Rustowicz, Cooper Elsworth, Kemen Austin, Andrew Y. Ng

CoRR, 2020

Short-Term Solar Irradiance Forecasting Using Calibrated Probabilistic Models.

Eric Zelikman, Sharon Zhou, Jeremy Irvin, Cooper Raterink, Hao Sheng, Jack Kelly, Ram Rajagopal, Andrew Y. Ng, David Gagne

CoRR, 2020

Effective Data Fusion with Generalized Vegetation Index: Evidence from Land Cover Segmentation in Agriculture.

Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Y. Ng

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

The 1st Agriculture-Vision Challenge: Methods and Results.

Mang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer A. Hobbs, Naira Hovakimyan, Thomas S. Huang, Honghui Shi, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Ivan Dozier, Wyatt Dozier, Karen Ghandilyan, David Wilson, Hyunseong Park, Jun Hee Kim, Sungho Kim, Qinghui Liu, Michael C. Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg, Alexandre Barbosa, Rodrigo G. Trevisan, Bingchen Zhao, Shaozuo Yu, Siwei Yang, Yin Wang, Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Y. Ng, Van Thong Huynh, Soo-Hyung Kim, In Seop Na, Ujjwal Baid, Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay N. Talbar, Jianyu Tang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020