(Note: * denotes students/postdocs advised/co-advised, # denotes visiting students advised/co-advised)

- Agarwal, G.*, Saade, S., Shahid, M., Test, M. and
**Sun, Y.**(2018), "Quantile function modeling applied to analysis of salinity tolerance of plants," under review. - Qadir, G.*,
**Sun, Y.**and Kurtek, S. (2018), "Estimation of spatial deformation for non-stationary processes via variogram alignment," under review. - Agarwal, G.* and
**Sun, Y.**(2018), "Multivariate functional quantile envelopes with application to radiosonde wind data," under review. - Lee, J.*,
**Sun, Y**. and Chang, H. (2018), "Spatial cluster detection of regression coefficient in a mixed effect model," under review. - Chen, T.*,
**Sun, Y.**, Euan, C. and Ombao, H. (2018), "Clustering brain signals: A robust approach using functional data ranking," under review.

(Note: * denotes students/postdocs advised/co-advised, # denotes visiting students advised/co-advised)

- Wang, W.* and
**Sun, Y.**(2018), "Penalized local polynomial regression for spatial data,"*Biometrics*, to appear. - Tang, Y., Wang, H.,
**Sun, Y.**and Hering, A. S. (2018), "Copula-based semiparametric model for spatio-temporal data,"*Biometrics*, to appear. - Huang, H.* and
**Sun, Y.**(2018), "A decomposition of total variation depth for understanding functional outliers,"*Technometrics*, to appear. - Euan, C.* and
**Sun, Y.**(2018), "Directional spectra-based clustering for visualizing patterns of ocean waves and winds,"*Journal of Computational and Graphical Statistics*, to appear. - Euan, C.*,
**Sun, Y.**and Ombao, H. (2018), "Coherence-based time series clustering for brain connectivity visualization,"*Annals of Applied Statistics*, to appear. - Li, Y.* and
**Sun, Y.**(2018), "Local likelihood estimation for nonstationary covariance functions with applications to climate model emulation,"*Statistica Sinica*, to appear. - Maadooliat, M.,
**Sun, Y**. and Chen, T.* (2018), "Collective nonparametric spectral density estimation and clustering,"*Statistics in Medicine*, to appear. - Abdulah, S.*, Ltaief, H.,
**Sun, Y.**, Genton, M. G., and Keyes, D. E. (2018), "ExaGeoStat: A high performance unified software for geostatistics on manycore systems,"*IEEE Transactions on Parallel and Distributed Systems*, 29, 2778-2784. (ExaGeoStat, ExaGeoStat-R, Documentation) - Abdulah, S.*, Ltaief, H., Sun, Y., Genton, M. G., and Keyes, D. E. (2018), "Parallel approximation of the maximum likelihood estimation for the prediction of large-scale geostatistics simulations,"
*IEEE International Conference on Cluster Computing*, 98-108. **Sun, Y.**, Chang, X. and Guan, Y. (2018), "Flexible and efficient estimating equations for variogram estimation,"*Computational Statistics and Data Analysis*, 122, 45-58.- Castruccio, S., Genton, M. G. and
**Sun, Y.**(2018), "Visualising spatio-temporal models with virtual reality: from fully immersive environments to apps in stereoscopic view,"*Journal of the Royal Statistical Society-Series A*, 182, 379-387. (to be read before the Royal Statistical Society) - Huang, H.* and
**Sun, Y.**(2018), "Hierarchical low rank approximation of likelihoods for large spatial datasets,"*Journal of Computational and Graphical Statistics*, 27:1, 110-118. (KAUST Discovery Highlight) - Yin, G.*, McCabe, M. F., Mariethoz, G. and
**Sun, Y.**(2017), "Comparison of gap-filling methods for Landsat 7 ETM+ SLC-off imagery,"*International Journal of Remote**Sensing,*38(23), 6653-6679. - Huang, H.* and
**Sun, Y.**(2017), "Visualization and assessment of spatio-temporal covariance properties,"*Spatial Statistics*, to appear. (KAUST Discovery Highlight) - Meng, R.*, Saade, S., Berger. B, Brien, C., Kurtek, S., Tester, M. and
**Sun, Y.**(2017), "Growth curve registration for evaluating salinity tolerance in barley,"*Plant Methods*, 13-18. - Xie, W., Kurtek, S., Bharath, K. and
**Sun, Y.**(2017), "A Geometric approach to visualization of variability in functional data,"*Journal of the American Statistical Association*, 112:519, 979-993. (supplementary materials) (KAUST Discovery Highlight) **Sun, Y.**, Hering, A. S. and Browning, J. M. (2017), "Robust bivariate error detection in skewed data with application to historical radiosonde winds,"*Environmetrics*, 28, e2431 . (KAUST Discovery Highlight)**Sun, Y.**and Stein, M. L. (2016), "Statistically and computationally efficient estimating equations for large spatial datasets,"*Journal of Computational and Graphical Statistics*, 25, 187-208.**Sun, Y.**, Wang, H. and Fuentes, M. (2016), "Fused adaptive Lasso for spatial and temporal quantile function estimation,"*Technometrics*, 58, 127-137. (supplementary materials)**Sun, Y.**and Stein, M. L. (2015), "A stochastic space-time model for intermittent precipitation occurrences,"*Annals of Applied Statistics*, 9, 2110-2132. (KAUST Discovery Highlight)- Ngo, D.,
**Sun, Y.**, Genton, M. G., Wu, J., Srinivasan, R., Cramer, S. and Ombao, H. (2015), "An exploratory data analysis of electroencephalograms using the functional boxplots approach,"*Frontiers in Neuroscience*, 9, Article 282, 1-18. (KAUST Discovery Highlight) - Dupuis, D. J.,
**Sun, Y.**and Wang, H. (2015), "Detecting change-points in extremes, "*Statistics**And Its Interface*, 8, 19-31. - Genton, M. G., Castruccio, S., Crippa, P., Dutta, S., Huser, R.,
**Sun, Y.**and Vettori, S. (2015), "Visuanimation in statistics,"*Stat*, 4, 81-96. **Sun, Y.**, Bowman, K. P., Genton, M. G., and Tokay, A. (2015), "A Matern model of the spatial covariance structure of point rain rates,"*Stochastic Environmental Research and Risk Assessment*, 29, 411-416.- Lopez-Pintado, S.,
**Sun, Y.**, Lin, J. K., and Genton, M. G. (2014), "Simplicial band depth for multivariate functional data, "*Advances in Data Analysis and Classification*, 8, 321-338. - Genton, M. G., Johnson, C., Potter, K., Stenchikov, G., and
**Sun, Y.**(2014), "Surface boxplots,"*Stat*, 3, 1-11. **Sun, Y.**, Hart, J. D. and Genton, M. G. (2013), "Improved nonparametric inference for multiple correlated periodic sequences,"*Stat*, 2, 197-210.- Apanasovich, T. V., Genton, M. G. and
**Sun, Y.**(2012), "A valid Matern class of cross-covariance functions for multivariate random fields with any number of components, "*Journal**of the American Statistical Association*, 107, 180-193. - Cooley, D., Cisewski, J., Erhardt, R. J., Jeon, S., Mannshardt, E., Omolo B. O. and
**Sun, Y.**(2012), "A survey of spatial extremes: measuring spatial dependence and modeling spatial effects,"*REVSTAT*, 10, 135-165. **Sun, Y.**and Genton, M. G. (2012), "Functional median polish,"*Journal of Agricultural, Biological, and Environmental Statistics*, 17, 354-376.**Sun, Y.**and Genton, M. G. (2012), "Adjusted functional boxplots for spatio-temporal data visualization and outlier detection,"*Environmetrics*, 23, 54-64**Sun, Y.**, Genton, M. G. and Nychka, D. (2012), "Exact fast computation of band depth for large functional datasets: How quickly can one million curves be ranked?"*Stat*, 1, 68-74.**Sun, Y.**, Hart, J. D. and Genton, M. G. (2012), "Nonparametric inference for periodic sequences,"*Technometrics*, 54, 83-96.(ENVR Workshop Student Poster Competition Winner)R code: (CVmethod, applications).**Sun, Y.**, Li, B. and Genton, M. G. (2012), "Geostatistics for large datasets, " in*Advances And Challenges In Space-time Modelling Of Natural Events*, J. M. Montero, E. Porcu, M. Schlather (eds), Springer, Vol. 207, Chapter 3, 55-77.**Sun, Y.**and Genton, M. G. (2011), "Functional boxplots,"*Journal of Computational and Graphical Statistics*, 20, 316-334.(ASA Student Paper Competition Winner)R code: fbplot (fast computation), help file.Matlab code: fbplot (fast computation) .- Xie, Y., Zhao, K.,
**Sun, Y.**and Chen, D. (2010), "Gaussian processes for short-Term traffic volume forecasting,"*Journal of the Transportation Research Board*,**2165**, 69-78.(TRB Best Paper Award) **Sun, Y.**and Lu, X. (2006), "A new method in the construction of two-level fractional factorial designs,"*Proceedings of the Fifth International Conference on Information and Management Sciences*, Chengdu, China, 512-520.

**Process Monitoring and Anomaly Detection**

- Krupskiy, P., Harrou, F.*, Amanda S. Hering and Sun, Y. (2018), Copula-based monitoring schemes for non-Gaussian multivariate processes, Journal of Quality Technology, to appear.
- Cheng, T., Harrou, F., Leiknes, T., and Sun, Y. (2018). Monitoring Influent Measurements at Water Resource Recovery Facility Using Data-Driven Soft Sensor Approach, IEEE Sensors Journal, to appear.
- Harrou, F., Khaldi, B., Sun, Y., and Cherif, F. (2018). Monitoring robotic swarm systems under noisy conditions using an effective fault detection strategy, IEEE Sensors Journal, To appear.
- Harrou, F., Dairi, A., Sun, Y., and Senouci, M. (2018). Statistical monitoring of a wastewater treatment plant: A case study. Journal of environmental management, 223, 807-814.
- Zerrouki, N., Harrou, F., Sun, Y., and Houacine, A. (2018). Vision-based Human Action Classification Using Adaptive Boosting Algorithm. IEEE Sensors Journal, 18(12), 5115-5121.
- Zerrouki, N., Harrou, F., and Sun, Y. (2018). Statistical Monitoring of Changes to Land Cover. IEEE Geoscience and Remote Sensing Letters, 15(6), 927-931.
- Harrou, F., Dairi, A., Sun, Y., and Kadri, F. (2018). Detecting Abnormal Ozone Measurements With a Deep Learning-Based Strategy. IEEE Sensors Journal, 18(17), 7222-7232.
- Dairi, A., Harrou, F., Senouci, M., and Sun, Y. (2018). Unsupervised obstacle detection in driving environments using deep-learning-based stereovision. Robotics and Autonomous Systems, 100, 287-301.
- Harrou, F., Sun, Y., Madakyaru, M., and Bouyedou, B. (2018). An improved multivariate chart using partial least squares with continuous ranked probability score. IEEE Sensors Journal, 18(16), 6715-6726.
- Dairi, A., Harrou, F., Sun, Y., and Senouci, M. (2018). Obstacle Detection for Intelligent Transportation Systems Using Deep Stacked Autoencoder and k-Nearest Neighbor Scheme. IEEE Sensors Journal, 18(12), 5122-5132.
- Zeroual, A., Harrou, F., Sun, Y., and Messai, N. (2018). Integrating Model-Based Observer and Kullback-Leibler Metric for Estimating and Detecting Road Traffic Congestion. IEEE Sensors Journal, 18(20), 8605-8616.
- Khaldi, B., Harrou, F., Cherif, F., and Sun, Y. (2018). Self-organization in aggregating robot swarms: A DW-kNN topological approach. Biosystems, 165, 106-121.
- Harrou, F., Sun, Y., Taghezouit, B., Saidi, A., and Hamlati, M. E. (2018). Reliable fault detection and diagnosis of photovoltaic systems based on statistical monitoring approaches. Renewable Energy, 116, 22-37.
- Dairi, A., Harrou, F., Senouci, M., and Sun, Y. (2018) "Unsupervised obstacle detection in driving environments using deep-learning-based stereovision," Robotics and Autonomous Systems Sensing, 100, 287-301.
- Khaldi, B., Harrou, F., Cherifa, F. and Sun, Y. (2017), "Monitoring a robot swarm using a data-driven fault detection approach," Robotics and Autonomous Systems, to appear. (KAUST Discovery Highlight)
- Garoudja, E., Harrou, F., Sun, Y., Kara, K., Chouder, A. and Silvestre. S. (2017), "Statistical fault detection in photovoltaic systems," Solar Energy, 150, 485-499.
- Madakyaru, M., Harrou, F. and Sun, Y. (2017), "Improved data-based fault detection strategy and application to distillation columns," Process Safety and Environmental Protection, 107, 22-34.
- Harrou, F., Sun, Y. and Madakyaru, M. (2016), "Kullback-Leibler distance-based enhanced detection of incipient anomalies," Journal of Loss Prevention in the Process Industries, 44, 73-87.
- Harrou, F., and Sun, Y. (2016), "Statistical monitoring of linear antenna arrays," Engineering Science and Technology, an International Journal, 19, 1781-1787. (KAUST Discovery Highlight)
- Zerrouki, N., Harrou, F. Sun, Y. and Houacine, A. (2016), "Accelerometer and camera-based strategy for improved human fall detection," Journal of Medical Systems , 40: 284. (KAUST Discovery Highlight)
- Harrou, F., Madakyaru, M., Sun, Y. and Khadraoui, S. (2016), "Improved detection of incipient anomalies via multivariate memory monitoring charts: application to an air flow heating system," Applied Thermal Engineering, 109, 65-74. (KAUST Discovery Highlight)
- Harrou, F., Kadri, F., Khadraoui, S. and Sun, Y. (2016), "Ozone measurements monitoring using data-based approach," Process Safety and Environmental Protection, 100, 220-231. (KAUST Discovery Highlight)
- Harrou, F., Sun, Y. and Khadraoui, S. (2016), "Amalgamation of anomaly-detection indices for enhanced process monitoring," Journal of Loss Prevention in the Process Industries, 40, 365-377.
- Kadri, F., Harrou, F., Chaabane, S., Sun, Y. and Tahon, C. (2016), "Seasonal ARMA-based SPC charts for anomaly detection: application to emergency department systems," Neurocomputing, 173, 2102-2114.
- Harrou, F., Kadri, F., Chaabane, S., Tahon, C. and Sun, Y. (2015), "Improved principal component analysis for anomaly detection: application to an emergency department," Computers & Industrial Engineering, 88, 63-77.