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Tongshu Zheng, PhD
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Field evaluation of low-cost particulate matter sensors in high-and low-concentration environments
T Zheng, MH Bergin, KK Johnson, SN Tripathi, S Shirodkar, MS Landis, ...
Atmospheric Measurement Techniques 11 (8), 4823-4846, 2018
3142018
Estimating ground-level PM2. 5 using micro-satellite images by a convolutional neural network and random forest approach
T Zheng, MH Bergin, S Hu, J Miller, DE Carlson
Atmospheric Environment 230, 117451, 2020
552020
Real‐time measurements of PM2.5 and ozone to assess the effectiveness of residential indoor air filtration in Shanghai homes
KK Barkjohn, C Norris, X Cui, L Fang, T Zheng, JJ Schauer, Z Li, Y Zhang, ...
Indoor Air 31 (1), 74-87, 2021
432021
Gaussian process regression model for dynamically calibrating and surveilling a wireless low-cost particulate matter sensor network in Delhi
T Zheng, MH Bergin, R Sutaria, SN Tripathi, R Caldow, DE Carlson
Atmospheric Measurement Techniques 12 (9), 5161-5181, 2019
422019
Local PM2.5 Hotspot Detector at 300 m Resolution: A Random Forest–Convolutional Neural Network Joint Model Jointly Trained on Satellite Images and …
T Zheng, M Bergin, G Wang, D Carlson
Remote Sensing 13 (7), 1356, 2021
102021
Improving spatial variation of ground-level PM2. 5 prediction with contrastive learning from satellite imagery
Z Jiang, T Zheng, M Bergin, D Carlson
Science of Remote Sensing 5, 100052, 2022
92022
Incorporating prior knowledge into neural networks through an implicit composite kernel
Z Jiang, T Zheng, Y Liu, D Carlson
arXiv preprint arXiv:2205.07384, 2022
72022
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