Ying Sun
Orcid: 0000-0001-6703-4270Affiliations:
- King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
- Texas A&M University, Department of Statistics, College Station, TX, USA (former)
According to our database1,
Ying Sun
authored at least 93 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on kaust.edu.sa
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on orcid.org
On csauthors.net:
Bibliography
2024
GPU-Accelerated Vecchia Approximations of Gaussian Processes for Geospatial Data using Batched Matrix Computations.
CoRR, 2024
2023
J. Big Data, December, 2023
Detecting Pediatric Foot Deformities Using Plantar Pressure Measurements: A Semisupervised Approach.
IEEE Des. Test, August, 2023
Efficient Sitting Posture Recognition for Wheelchair Users: An Unsupervised Data-Driven Framework.
IEEE Instrum. Meas. Mag., June, 2023
Tile low-rank approximations of non-Gaussian space and space-time Tukey <i>g</i>-and-<i>h</i> random field likelihoods and predictions on large-scale systems.
J. Parallel Distributed Comput., 2023
Towards accurate prediction of patient length of stay at emergency department: a GAN-driven deep learning framework.
J. Ambient Intell. Humaniz. Comput., 2023
Portability and Scalability Evaluation of Large-Scale Statistical Modeling and Prediction Software through HPC-Ready Containers.
CoRR, 2023
CoRR, 2023
Efficient Large-scale Nonstationary Spatial Covariance Function Estimation Using Convolutional Neural Networks.
CoRR, 2023
CoRR, 2023
2022
Accelerating Geostatistical Modeling and Prediction With Mixed-Precision Computations: A High-Productivity Approach With PaRSEC.
IEEE Trans. Parallel Distributed Syst., 2022
Deep Generative Learning-Based 1-SVM Detectors for Unsupervised COVID-19 Infection Detection Using Blood Tests.
IEEE Trans. Instrum. Meas., 2022
Technometrics, 2022
IEEE Trans. Cogn. Dev. Syst., 2022
Cyber-attacks detection in industrial systems using artificial intelligence-driven methods.
Int. J. Crit. Infrastructure Prot., 2022
Flexible quantile contour estimation for multivariate functional data: Beyond convexity.
Comput. Stat. Data Anal., 2022
Efficient land desertification detection using a deep learning-driven generative adversarial network approach: A case study.
Concurr. Comput. Pract. Exp., 2022
Machine learning and deep learning-driven methods for predicting ambient particulate matters levels: A case study.
Concurr. Comput. Pract. Exp., 2022
A stacked deep learning approach to cyber-attacks detection in industrial systems: application to power system and gas pipeline systems.
Clust. Comput., 2022
Efficient Driver Drunk Detection by Sensors: A Manifold Learning-Based Anomaly Detector.
IEEE Access, 2022
A Semi-Supervised Modulation Identification in MIMO Systems: A Deep Learning Strategy.
IEEE Access, 2022
Reshaping Geostatistical Modeling and Prediction for Extreme-Scale Environmental Applications.
Proceedings of the SC22: International Conference for High Performance Computing, 2022
Proceedings of the 7th IEEE Forum on Research and Technologies for Society and Industry Innovation, 2022
Parallel space-time likelihood optimization for air pollution prediction on large-scale systems.
Proceedings of the PASC '22: Platform for Advanced Scientific Computing Conference, Basel, Switzerland, June 27, 2022
Parallel Approximations of the Tukey g-and-h Likelihoods and Predictions for Non-Gaussian Geostatistics.
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022
Predicting Energy Consumption in Wastewater Treatment Plants through Light Gradient Boosting Machine: A Comparative Study.
Proceedings of the 10th International Conference on Systems and Control, 2022
A Survey on Recent Advances in Fall Detection Systems Using Machine Learning Formalisms.
Proceedings of the 7th International Conference on Frontiers of Signal Processing, 2022
A Tree-Driven Ensemble Learning Approach to Predict FS Welded Al-6061-T6 Material Behavior.
Proceedings of the 7th International Conference on Frontiers of Signal Processing, 2022
Proceedings of the 7th International Conference on Frontiers of Signal Processing, 2022
Proceedings of the Seventh International Conference on Fog and Mobile Edge Computing, 2022
2021
IEEE Trans. Parallel Distributed Syst., 2021
Integrated Multiple Directed Attention-Based Deep Learning for Improved Air Pollution Forecasting.
IEEE Trans. Instrum. Meas., 2021
Estimation of Spatial Deformation for Nonstationary Processes via Variogram Alignment.
Technometrics, 2021
Technometrics, 2021
Desertification Detection Using an Improved Variational Autoencoder-Based Approach Through ETM-Landsat Satellite Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
J. Biomed. Informatics, 2021
A semi-parametric estimation method for the quantile spectrum with an application to earthquake classification using convolutional neural network.
Comput. Stat. Data Anal., 2021
Clust. Comput., 2021
J. Classif., 2021
Proceedings of the 19th IEEE International Conference on Industrial Informatics, 2021
Proceedings of the 19th IEEE International Conference on Industrial Informatics, 2021
2020
IEEE Instrum. Meas. Mag., 2020
Comput. Stat. Data Anal., 2020
High Performance Multivariate Spatial Modeling for Geostatistical Data on Manycore Systems.
CoRR, 2020
CoRR, 2020
IEEE Access, 2020
Forecasting of Wastewater Treatment Plant Key Features Using Deep Learning-Based Models: A Case Study.
IEEE Access, 2020
Improving robots swarm aggregation performance through the Minkowski distance function.
Proceedings of the 6th International Conference on Mechatronics and Robotics Engineering, 2020
2019
Technometrics, 2019
Comput. Stat. Data Anal., 2019
Flexible and Efficient Topological Approaches for a Reliable Robots Swarm Aggregation.
IEEE Access, 2019
An Integrated Vision-Based Approach for Efficient Human Fall Detection in a Home Environment.
IEEE Access, 2019
Monitoring Influent Conditions of Wastewater Treatment Plants by Nonlinear Data-Based Techniques.
IEEE Access, 2019
Geostatistical Modeling and Prediction Using Mixed Precision Tile Cholesky Factorization.
Proceedings of the 26th IEEE International Conference on High Performance Computing, 2019
2018
ExaGeoStat: A High Performance Unified Software for Geostatistics on Manycore Systems.
IEEE Trans. Parallel Distributed Syst., 2018
Unsupervised obstacle detection in driving environments using deep-learning-based stereovision.
Robotics Auton. Syst., 2018
IEEE Geosci. Remote. Sens. Lett., 2018
Comput. Stat. Data Anal., 2018
Tile Low-Rank Approximation of Large-Scale Maximum Likelihood Estimation on Manycore Architectures.
CoRR, 2018
Biosyst., 2018
Monitoring land-cover changes by combining a detection step with a classification step.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
Proceedings of the IEEE International Conference on Industrial Technology, 2018
Proceedings of the 4th International Conference on Frontiers of Signal Processing, 2018
Parallel Approximation of the Maximum Likelihood Estimation for the Prediction of Large-Scale Geostatistics Simulations.
Proceedings of the IEEE International Conference on Cluster Computing, 2018
Proceedings of the 2018 Annual American Control Conference, 2018
2017
Robotics Auton. Syst., 2017
IEEE Instrum. Meas. Mag., 2017
ExaGeoStat: A High Performance Unified Framework for Geostatistics on Manycore Systems.
CoRR, 2017
A multivariate time series approach to forecasting daily attendances at hospital emergency department.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Enhanced dynamic data-driven fault detection approach: Application to a two-tank heater system.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017
Proceedings of the 6th International Conference on Systems and Control, 2017
A statistical-based approach for fault detection and diagnosis in a photovoltaic system.
Proceedings of the 6th International Conference on Systems and Control, 2017
2016
Technometrics, 2016
J. Medical Syst., 2016
Seasonal ARMA-based SPC charts for anomaly detection: Application to emergency department systems.
Neurocomputing, 2016
Improved anomaly detection using multi-scale PLS and generalized likelihood ratio test.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Nonlinear partial least squares with Hellinger distance for nonlinear process monitoring.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Proceedings of the 14th IEEE International Conference on Industrial Informatics, 2016
Proceedings of the 14th IEEE International Conference on Industrial Informatics, 2016
2015
Improved principal component analysis for anomaly detection: Application to an emergency department.
Comput. Ind. Eng., 2015
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015
Proceedings of the 15th International Conference on Intelligent Systems Design and Applications, 2015
Proceedings of the 15th International Conference on Intelligent Systems Design and Applications, 2015
2014
Adv. Data Anal. Classif., 2014
2012