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Zhecheng Wang
Zhecheng Wang
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
DeepSolar: A Machine Learning Framework to Efficiently Construct a Solar Deployment Database in the United States
J Yu*, Z Wang*, A Majumdar, R Rajagopal
Joule 2 (12), 2605-2617, 2018
3062018
Machine learning for AC optimal power flow
N Guha, Z Wang, M Wytock, A Majumdar
International Conference on Machine Learning, Climate Change Workshop, 2019
1002019
Flow visualization of supersonic two-phase transcritical flow of CO2 in an ejector of a refrigeration system
Y Zhu, Z Wang, Y Yang, PX Jiang
International Journal of Refrigeration 74, 354-361, 2017
942017
Urban2Vec: Incorporating Street View Imagery and POIs for Multi-Modal Urban Neighborhood Embedding
Z Wang*, H Li*, R Rajagopal
Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 1013-1020, 2020
862020
DeepSolar for Germany: A deep learning framework for PV system mapping from aerial imagery
K Mayer, Z Wang, ML Arlt, D Neumann, R Rajagopal
2020 International Conference on Smart Energy Systems and Technologies (SEST …, 2020
432020
3D-PV-Locator: Large-scale detection of rooftop-mounted photovoltaic systems in 3D
K Mayer, B Rausch, ML Arlt, G Gust, Z Wang, D Neumann, R Rajagopal
Applied Energy 310, 118469, 2022
382022
Skyscript: A large and semantically diverse vision-language dataset for remote sensing
Z Wang, R Prabha, T Huang, J Wu, R Rajagopal
Proceedings of the AAAI Conference on Artificial Intelligence 38 (6), 5805-5813, 2024
342024
DeepSolar++: Understanding residential solar adoption trajectories with computer vision and technology diffusion models
Z Wang, ML Arlt, C Zanocco, A Majumdar, R Rajagopal
Joule 6 (11), 2611-2625, 2022
272022
DeepWind: Weakly Supervised Localization of Wind Turbines in Satellite Imagery
S Zhou, J Irvin, Z Wang, E Zhang, J Aljubran, W Deadrick, R Rajagopal, ...
NeurIPS, Workshop on Tackling Climate Change with Machine Learning, 2019
27*2019
Learning Neighborhood Representation from Multi-Modal Multi-Graph: Image, Text, Mobility Graph and Beyond
T Huang, Z Wang, H Sheng, AY Ng, R Rajagopal
arXiv preprint arXiv:2105.02489, 2021
122021
Local and utility-wide cost allocations for a more equitable wildfire-resilient distribution grid
Z Wang, M Wara, A Majumdar, R Rajagopal
Nature Energy 8 (10), 1097-1108, 2023
102023
Augnet: End-to-end unsupervised visual representation learning with image augmentation
M Chen, Z Chang, H Lu, B Yang, Z Li, L Guo, Z Wang
arXiv preprint arXiv:2106.06250, 2021
102021
Exploring the potential of non-residential solar to tackle energy injustice
M Wussow, C Zanocco, Z Wang, R Prabha, J Flora, D Neumann, ...
Nature Energy, 1-10, 2024
72024
M3G: Learning urban neighborhood representation from multi-modal multi-graph
T Huang, Z Wang, H Sheng, AY Ng, R Rajagopal
Proceedings of the DeepSpatial 2021: 2nd ACM KDD Workshop on Deep Learning …, 2021
72021
Identify Solar Panels in Low Resolution Satellite Imagery with Siamese Architecture and Cross-Correlation
Z Wang*, Z Wang*, A Majumdar, R Rajagopal
NeurIPS, Workshop on Tackling Climate Change with Machine Learning, 2019
72019
Fine-Grained Distribution Grid Mapping Using Street View Imagery
Q Tang*, Z Wang*, A Majumdar, R Rajagopal
NeurIPS, Workshop on Tackling Climate Change with Machine Learning, 2019
62019
Geospatial mapping of distribution grid with machine learning and publicly-accessible multi-modal data
Z Wang, A Majumdar, R Rajagopal
Nature Communications 14 (1), 5006, 2023
32023
Detecting Neighborhood Gentrification at Scale via Street-level Visual Data
T Huang, T Dai, Z Wang, H Yoon, H Sheng, AY Ng, R Rajagopal, ...
2022 IEEE International Conference on Big Data (Big Data), 1632-1640, 2022
32022
Image Generation With Neural Cellular Automatas
M Chen, Z Wang
arXiv preprint arXiv:2010.04949, 2020
32020
Predicting Geographic Information with Neural Cellular Automata
M Chen, Q Chen, L Gao, Y Chen, Z Wang
arXiv preprint arXiv:2009.09347, 2020
12020
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