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Estimating air quality co-benefits of energy transition using machine learning.

D. Zhang, Q. Wang, S. Song, S. Chen, M. Li, L. Shen, S. Zheng, B. Cai, and S. Wang. CoRR, (2021)

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Wang Wang

Linfang Wang

Investigation of the functions of 53BP1 in DNA demethylationL. Wang. Uni Marburg, (2009)

Paul Wang

Lien Wang

Scheifoo Wang

Other publications of authors with the same name

Deep neural networks for choice analysis: Enhancing behavioral regularity with gradient regularization.S. Feng, R. Yao, S. Hess, R. Daziano, T. Brathwaite, J. Walker, and S. Wang. CoRR, (2024)Alleviating Data Sparsity Problems in Estimated Time of Arrival via Auxiliary Metric Learning.Y. Sun, W. Hu, D. Zhou, B. Mo, K. Fu, Z. Che, Z. Wang, S. Wang, J. Zhao, J. Ye and 2 other author(s). IEEE Trans. Intell. Transp. Syst., 23 (12): 23231-23243 (2022)Advancing Transportation Mode Share Analysis with Built Environment: Deep Hybrid Models with Urban Road Network.D. Zhuang, Q. Wang, Y. Zheng, X. Guo, S. Wang, H. Koutsopoulos, and J. Zhao. CoRR, (2024)Sparkle: Mastering Basic Spatial Capabilities in Vision Language Models Elicits Generalization to Composite Spatial Reasoning.Y. Tang, A. Qu, Z. Wang, D. Zhuang, Z. Wu, W. Ma, S. Wang, Y. Zheng, Z. Zhao, and J. Zhao. CoRR, (2024)Uncertainty Quantification of Spatiotemporal Travel Demand With Probabilistic Graph Neural Networks.Q. Wang, S. Wang, D. Zhuang, H. Koutsopoulos, and J. Zhao. IEEE Trans. Intell. Transp. Syst., 25 (8): 8770-8781 (August 2024)SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks.D. Zhuang, Y. Bu, G. Wang, S. Wang, and J. Zhao. CoRR, (2024)Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks.D. Zhuang, S. Wang, H. Koutsopoulos, and J. Zhao. KDD, page 4639-4647. ACM, (2022)Robust Transit Frequency Setting Problem With Demand Uncertainty.X. Guo, B. Mo, H. Koutsopoulos, S. Wang, and J. Zhao. IEEE Trans. Intell. Transp. Syst., 25 (10): 13305-13322 (October 2024)Estimating air quality co-benefits of energy transition using machine learning.D. Zhang, Q. Wang, S. Song, S. Chen, M. Li, L. Shen, S. Zheng, B. Cai, and S. Wang. CoRR, (2021)ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-Temporal Graph Attention and Bidirectional Recurrent United Neural Networks.Z. Wang, D. Zhuang, Y. Li, J. Zhao, P. Sun, S. Wang, and Y. Hu. ITSC, page 1454-1459. IEEE, (2023)

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Disambiguation of "Wang, Shenhao"

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Estimating air quality co-benefits of energy transition using machine learning.

Please choose a person to relate this publication to

Wang Wang

Linfang Wang

Paul Wang

Lien Wang

Scheifoo Wang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Wang, Shenhao"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Estimating air quality co-benefits of energy transition using machine learning.

Please choose a person to relate this publication to

Wang Wang

Linfang Wang

Paul Wang

Lien Wang

Scheifoo Wang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Estimating air quality co-benefits of energy transition using machine learning.