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Huiying Mao (Maggie)
Huiying Mao (Maggie)
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Title
Cited by
Cited by
Year
Driving safety assessment for ride-hailing drivers
H Mao, X Deng, H Jiang, L Shi, H Li, L Tuo, D Shi, F Guo
Accident Analysis & Prevention 149, 105574, 2021
382021
Hierarchical profiling inputs and self-adaptive fraud detection system
Y Jia, MAO Huiying, SJ Wang, C Marcjan, JNM Nanduri
US Patent App. 15/711,150, 2019
282019
Decision-adjusted driver risk predictive models using kinematics information
H Mao, F Guo, X Deng, ZR Doerzaph
Accident Analysis & Prevention 156, 106088, 2021
172021
Associations between high caffeine consumption, driving safety indicators, sleep and health behaviours in truck drivers
AJ Filtness, JS Hickman, JE Mabry, L Glenn, H Mao, M Camden, ...
Safety science 126, 104664, 2020
122020
Valid model-free spatial prediction
H Mao, R Martin, BJ Reich
Journal of the American Statistical Association, 1-11, 2022
112022
Commercial Driver Safety Risk Factors (CDSRF)
JS Hickman, JE Mabry, L Marburg, F Guo, M Huiying, RJ Hanowski, ...
United States. Department of Transportation. Federal Motor Carrier Safety …, 2020
112020
Adjusting finite sample bias in traffic safety modeling
H Mao, X Deng, D Lord, G Flintsch, F Guo
Accident Analysis & Prevention 131, 112-121, 2019
62019
Analyzing Highway Safety Datasets: Simplifying Statistical Analyses from Sparse to Big Data
D Lord, SR Geedipally, F Guo, A Jahangiri, M Shirazi, H Mao, X Deng
SAFE-D: Safety Through Disruption National University Transportation Center, 2019
62019
An evaluation of Wheeler's method for monitoring the rate of rare events
H Mao, CN Ginther, WH Woodall
Quality and Reliability Engineering International 33 (3), 503-513, 2017
52017
Adaptive fraud detection system using dynamic risk features
H Mao, Y Liu, Y Jia, J Nanduri
arXiv preprint arXiv:1810.04654, 2018
42018
Inventory Item Prediction and Listing Recommendation
Z Zhang, MAO Huiying, S Shen, PH Ieong, A Mardikar
US Patent App. 17/323,717, 2022
2022
Clustering-based Imputation for Dropout Buyers in Large-scale Online Experimentation
S Shen, H Mao, Z Zhang, Z Chen, K Nie, X Deng
arXiv preprint arXiv:2209.06125, 2022
2022
Boosting Sensitivity of Large-scale Online Experimentation via Dropout Buyer Imputation.
S Shen, H Mao, Z Zhang, Z Chen, K Nie, X Deng
CoRR, 2022
2022
Optimal Driver Risk Modeling
H Mao
Virginia Tech, 2019
2019
Big Data Methodologies for Simplifying Traffic Safety Analyses (01-001)[supporting dataset]
D Lord, F Guo, X Deng, H Mao
2019
Rejoinder two, QE V 31, I3
S Shen, H Mao, X Deng
Quality Engineering 31 (3), 2019
2019
An EM-algorithm approach to open challenges on correlation of intermediate and final measurements
S Shen, H Mao, X Deng
Quality Engineering 31 (3), 505-510, 2019
2019
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Articles 1–17