| Sparse linear discriminant analysis by thresholding for high dimensional data J Shao, Y Wang, X Deng, S Wang | 291 | 2011 |
| Estimation in high-dimensional linear models with deterministic design matrices J Shao, X Deng | 100 | 2012 |
| Active learning through sequential design with applications to detection of money laundering X Deng, VR Joseph, A Sudjianto, CFJ Wu Journal of the American Statistical Association 104 (487), 969-981, 2009 | 83 | 2009 |
| Additive Gaussian process for computer models with qualitative and quantitative factors X Deng, CD Lin, KW Liu, RK Rowe Technometrics 59 (3), 283-292, 2017 | 80 | 2017 |
| Predictive computational modeling of the mucosal immune responses during Helicobacter pylori infection A Carbo, J Bassaganya-Riera, M Pedragosa, M Viladomiu, M Marathe, ... PloS one 8 (9), e73365, 2013 | 67 | 2013 |
| Scalable algorithms for the sparse ridge regression W Xie, X Deng SIAM Journal on Optimization 30 (4), 3359-3386, 2020 | 63 | 2020 |
| Functional quantitative and qualitative models for quality modeling in a fused deposition modeling process H Sun, PK Rao, ZJ Kong, X Deng, R Jin IEEE Transactions on Automation Science and Engineering 15 (1), 393-403, 2017 | 52 | 2017 |
| A parallel implementation of the ensemble Kalman filter based on modified Cholesky decomposition ED Nino-Ruiz, A Sandu, X Deng Journal of Computational Science 36, 100654, 2019 | 48 | 2019 |
| 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 | 47 | 2021 |
| Design for computer experiments with qualitative and quantitative factors X Deng, Y Hung, CD Lin Statistica Sinica, 1567-1581, 2015 | 46 | 2015 |
| QQ models: Joint modeling for quantitative and qualitative quality responses in manufacturing systems X Deng, R Jin Technometrics 57 (3), 320-331, 2015 | 44 | 2015 |
| An ensemble Kalman filter implementation based on modified Cholesky decomposition for inverse covariance matrix estimation ED Nino-Ruiz, A Sandu, X Deng SIAM Journal on Scientific Computing 40 (2), A867-A886, 2018 | 43 | 2018 |
| Penalized covariance matrix estimation using a matrix-logarithm transformation X Deng, KW Tsui Journal of Computational and Graphical Statistics 22 (2), 494-512, 2013 | 43 | 2013 |
| Modeling maximum daily temperature using a varying coefficient regression model H Li, X Deng, DY Kim, EP Smith Water Resources Research 50 (4), 3073-3087, 2014 | 38 | 2014 |
| Statistical approach to quantifying the elastic deformation of nanomaterials X Deng, VR Joseph, W Mai, ZL Wang, CFJ Wu Proceedings of the National Academy of Sciences 106 (29), 11845-11850, 2009 | 33 | 2009 |
| Manufacturing quality prediction using smooth spatial variable selection estimator with applications in aerosol jet® printed electronics manufacturing Y Li, H Sun, X Deng, C Zhang, HP Wang, R Jin IISE Transactions 52 (3), 321-333, 2020 | 31 | 2020 |
| Meta-modeling of high-fidelity FEA simulation for efficient product and process design in additive manufacturing L Wang, X Chen, S Kang, X Deng, R Jin Additive Manufacturing 35, 101211, 2020 | 30 | 2020 |
| Logistic regression for crystal growth process modeling through hierarchical nonnegative garrote-based variable selection H Sun, X Deng, K Wang, R Jin Iie Transactions 48 (8), 787-796, 2016 | 30 | 2016 |
| Ensemble modeling for data fusion in manufacturing process scale-up R Jin, X Deng IIE Transactions 47 (3), 203-214, 2015 | 29 | 2015 |
| Generative modeling of human behavior and social interactions using abductive analysis Y Ren, V Cedeno-Mieles, Z Hu, X Deng, A Adiga, C Barrett, S Ekanayake, ... 2018 IEEE/ACM International Conference on Advances in Social Networks …, 2018 | 28 | 2018 |
C. F. Jeff WuGeorgia Institute of TechnologyVerified email at isye.gatech.edu
