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Pei Guo
Pei Guo
PhD. Data Scientist @ Wyze Labs
Verified email at umbc.edu
Title
Cited by
Cited by
Year
Sensor data based system-level anomaly prediction for smart manufacturing
J Wang, C Liu, M Zhu, P Guo, Y Hu
2018 IEEE International Congress on Big Data (BigData Congress), 158-165, 2018
272018
Benchmarking of data-driven causality discovery approaches in the interactions of arctic sea ice and atmosphere
Y Huang, M Kleindessner, A Munishkin, D Varshney, P Guo, J Wang
Frontiers in big Data 4, 642182, 2021
192021
Hybrid causality analysis of enso’s global impacts on climate variables based on data-driven analytics and climate model simulation
H Song, J Tian, J Huang, P Guo, Z Zhang, J Wang
Frontiers in Earth Science 7, 233, 2019
172019
Evaluation of data-driven causality discovery approaches among dominant climate modes
S Hussung, S Mahmud, A Sampath, M Wu, P Guo, J Wang
UMBC Faculty Collection, 2019
112019
Scalable and flexible two-phase ensemble algorithms for causality discovery
P Guo, Y Huang, J Wang
Big Data Research 26, 100252, 2021
72021
Scalable and hybrid ensemble-based causality discovery
P Guo, A Ofonedu, J Wang
2020 IEEE International Conference on Smart Data Services (SMDS), 72-80, 2020
72020
Benchmarking parallel k-means cloud type clustering from satellite data
C Barajas, P Guo, L Mukherjee, S Hoban, J Wang, D Jin, ...
Benchmarking, Measuring, and Optimizing: First BenchCouncil International …, 2019
72019
A Deep Learning Model for Detecting Dust in Earth's Atmosphere from Satellite Remote Sensing Data
P Hou, P Guo, P Wu, J Wang, A Gangopadhyay, Z Zhang
2020 IEEE International Conference on Smart Computing (SMARTCOMP), 196-201, 2020
62020
Parallel gradient boosting based granger causality learning
P Guo, C Liuy, Y Tang, J Wang
2019 IEEE International Conference on Big Data (Big Data), 2845-2854, 2019
52019
Dust detection in satellite data using convolutional neural networks
C Cai, J Lee, YR Shi, C Zerfas, P Guo, Z Zhang
UMBC Faculty Collection, 2019
52019
Cloud-Based Life Sciences Manufacturing System: Integrated Experiment Management and Data Analysis via Amazon Web Services
P Guo, R Peterson, P Paukstelis, J Wang
Smart Service Systems, Operations Management, and Analytics: Proceedings of …, 2020
42020
A comparison of big data application programming approaches: a travel companion case study
P Guo, J Wang, Z Chen
2017 IEEE International Conference on Big Data (Big Data), 2869-2878, 2017
42017
Assessing Water Budget Sensitivity to Precipitation Forcing Errors in Potomac River Basin Using the VIC Hydrologic Model CyberTraining: Big Data+ High-Performance Computing+ …
R Majumder, R Walid, J Zheng, Z Zhang, J Wang, MK Gobbert, ...
UMBC Faculty Collection, 2019
32019
Reproducible and portable big data analytics in the cloud
X Wang, P Guo, X Li, A Gangopadhyay, C Busart, J Freeman, J Wang
IEEE Transactions on Cloud Computing, 2023
22023
Image segmentation for dust detection using unsupervised machine learning
J Bessac, L Xu, M Yu, A Gangopadhyay, Y Shi, P Guo
tech. rep, 0
1
Large-Scale Causality Discovery Analytics as a Service
X Wang, P Guo, J Wang
2021 IEEE International Conference on Big Data (Big Data), 3130-3140, 2021
2021
Scalable Multivariate Causality Discovery from Large-Scale Global Spatiotemporal Climate Data
P Guo
University of Maryland, Baltimore County, 2021
2021
Evaluation of Data-Driven Causality Discovery Methods among Dominant Climate Modes
SR Hussung, S Mahmud, A Sampath, M Wu, P Guo, J Wang
100th American Meteorological Society Annual Meeting, 2020
2020
Cloud-Based Life Sciences Manufacturing System: Integrated Experiment Management and Data
P Guo, R Peterson, P Paukstelis, J Wang
Smart Service Systems, Operations Management, and Analytics: Proceedings of …, 2019
2019
Evaluation of Tropical Cloud Simulations between CMIP6 Models and Satellite Observations CyberTraining: Big Data+ High-Performance Computing+ Atmospheric Sciences
AW Denagamage, S Ali, N Hannadigee, X Huang, P Guo, J Wang
UMBC HPCF, 0
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