| A survey of manifold-based learning methods X Huo, XS Ni, AK Smith Recent advances in data mining of enterprise data, 691-745, 2007 | 128 | 2007 |
| A XGBoost risk model via feature selection and Bayesian hyper-parameter optimization Y Wang, XS Ni arXiv preprint arXiv:1901.08433, 2019 | 109 | 2019 |
| Statistical interpretation of the importance of phase information in signal and image reconstruction XS Ni, X Huo Statistics & probability letters 77 (4), 447-454, 2007 | 62 | 2007 |
| When do stepwise algorithms meet subset selection criteria? X Huo, X Ni The Annals of Statistics, 870-887, 2007 | 53 | 2007 |
| The pedagogical potential of game jams A Fowler, X Ni, J Preston Proceedings of the 19th annual SIG conference on information technology …, 2018 | 18 | 2018 |
| Predicting class-imbalanced business risk using resampling, regularization, and model ensembling algorithms Y Wang, XS Ni arXiv preprint arXiv:1903.05535, 2019 | 13 | 2019 |
| Improving investment suggestions for peer-to-peer lending via integrating credit scoring into profit scoring Y Wang, XS Ni Proceedings of the 2020 ACM Southeast Conference, 141-148, 2020 | 11 | 2020 |
| Risk prediction of peer-to-peer lending market by a LSTM model with macroeconomic factor Y Wang, XS Ni Proceedings of the 2020 ACM Southeast Conference, 181-187, 2020 | 11 | 2020 |
| A two-stage hybrid model by using artificial neural networks as feature construction algorithms Y Wang, XS Ni, B Stone arXiv preprint arXiv:1812.02546, 2018 | 10 | 2018 |
| Influence of the event rate on discrimination abilities of bankruptcy prediction models L Zhang, J Priestley, X Ni arXiv preprint arXiv:1803.03756, 2018 | 9 | 2018 |
| Another look at Huber's estimator: A new minimax estimator in regression with stochastically bounded noise XS Ni, X Huo Journal of statistical planning and inference 139 (2), 503-515, 2009 | 9 | 2009 |
| Enhanced leaps-and-bounds method in subset selections with additional optimality tests XS Ni, X Huo INFORMS QSR student paper competition finalist. Available at qsr. section …, 2005 | 9 | 2005 |
| New results in detection, estimation, and model selection XS Ni Georgia Institute of Technology, 2006 | 7 | 2006 |
| High-dimensional semi-supervised learning via a fusion-refinement procedure Z Lei, R Li, XS Ni, X Huo Signal Processing 114, 171-182, 2015 | 6 | 2015 |
| Improving risk modeling via feature selection, hyper-parameter adjusting, and model ensembling Y Wang, XS Ni, J Priestley | 5 | 2020 |
| Detectability of convex-shaped objects in digital images, its fundamental limit and multiscale analysis X Huo, X Ni Statistica Sinica, 1439-1462, 2009 | 5 | 2009 |
| Regressions by enhanced leaps-and-bounds via additional optimality tests (LBOT) XS Ni, X Huo Technical report, Citeseer, 2006 | 5 | 2006 |
| An automatic interaction detection hybrid model for bankcard response classification Y Wang, XS Ni, B Stone 2018 5th International Conference on Systems and Informatics (ICSAI), 1111-1119, 2018 | 4 | 2018 |
| Kernel fusion–refinement for semi-supervised nonlinear dimension reduction F Wang, R Li, Z Lei, XS Ni, X Huo, M Chen Pattern Recognition Letters 63, 16-22, 2015 | 4 | 2015 |
| Developing and improving risk models using machine-learning based algorithms Y Wang, XS Ni Proceedings of the 2019 ACM Southeast Conference, 281-282, 2019 | 3 | 2019 |
Xiaoming HuoProfessor, Georgia Institute of TechnologyVerified email at gatech.edu
Xiaoming HuoProfessor, Georgia Institute of TechnologyVerified email at gatech.edu