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Extracting Built Environment Features for Planning Research with Computer Vision: A Review and Discussion of State-of-the-Art Approaches


Jan 30, 2022
Meiqing Li, Hao Sheng

* CUPUM 2021 (The 17th International Conference on Computational Urban Planning and Urban Management) 

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Probability Paths and the Structure of Predictions over Time


Jun 11, 2021
Zhiyuan Lin, Hao Sheng, Sharad Goel


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


May 06, 2021
Tianyuan Huang, Zhecheng Wang, Hao Sheng, Andrew Y. Ng, Ram Rajagopal


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


May 04, 2021
Hao Sheng, Keniel Yao, Sharad Goel

* Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society (AIES) 

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Multi-Task Time Series Forecasting With Shared Attention


Jan 24, 2021
Zekai Chen, Jiaze E, Xiao Zhang, Hao Sheng, Xiuzheng Cheng

* Accepted by ICDMW 2020 

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


Dec 18, 2020
Eric Li, Jingyi Su, Hao Sheng, Lawrence Wai

* AAAI 2021 Workshop on AI Education/TIPCE 2021 

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A Distributed Privacy-Preserving Learning Dynamics in General Social Networks


Nov 15, 2020
Youming Tao, Shuzhen Chen, Feng Li, Dongxiao Yu, Jiguo Yu, Hao Sheng


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


Nov 14, 2020
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

* Tackling Climate Change with Machine Learning at NeurIPS 2020 (Spotlight talk) 

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


Nov 11, 2020
Jeremy Irvin, Hao Sheng, Neel Ramachandran, Sonja Johnson-Yu, Sharon Zhou, Kyle Story, Rose Rustowicz, Cooper Elsworth, Kemen Austin, Andrew Y. Ng

* Tackling Climate Change with Machine Learning at NeurIPS 2020 

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