| Category-adaptive variable screening for ultra-high dimensional heterogeneous categorical data J Xie, Y Lin, X Yan, N Tang Journal of the American Statistical Association 115 (530), 747-760, 2020 | 34 | 2020 |
| Word embeddings via causal inference: Gender bias reducing and semantic information preserving L Ding, D Yu, J Xie, W Guo, S Hu, M Liu, L Kong, H Dai, Y Bao, B Jiang Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 11864 …, 2022 | 22 | 2022 |
| Fused mean–variance filter for feature screening X Yan, N Tang, J Xie, X Ding, Z Wang Computational Statistics & Data Analysis 122, 18-32, 2018 | 20 | 2018 |
| A model-averaging method for high-dimensional regression with missing responses at random J Xie, X Yan, N Tang Statistica Sinica 31 (2), 1005-1026, 2021 | 18 | 2021 |
| Optimal model averaging forecasting in high-dimensional survival analysis X Yan, H Wang, W Wang, J Xie, Y Ren, X Wang International Journal of Forecasting 37 (3), 1147-1155, 2021 | 15 | 2021 |
| Balancing gender bias in job advertisements with text-level bias mitigation S Hu, JA Al-Ani, KD Hughes, N Denier, A Konnikov, L Ding, J Xie, Y Hu, ... Frontiers in big Data 5, 805713, 2022 | 14 | 2022 |
| A nonparametric feature screening method for ultrahigh-dimensional missing response X Li, N Tang, J Xie, X Yan Computational Statistics & Data Analysis 142, 106828, 2020 | 11 | 2020 |
| Linglong Kong, Hongsheng Dai, Yanchun Bao, and Bei Jiang. 2022. Word embeddings via causal inference: Gender bias reducing and semantic information preserving L Ding, D Yu, J Xie, W Guo, S Hu, M Liu Proceedings of the AAAI Conference on Artificial Intelligence 36, 11864-11872, 2022 | 8 | 2022 |
| Fused variable screening for massive imbalanced data J Xie, M Hao, W Liu, Y Lin Computational Statistics & Data Analysis 141, 94-108, 2020 | 8 | 2020 |
| Heterogeneous logistic regression for estimation of subgroup effects on hypertension X Yan, H Wang, Y Zhou, J Yan, Y Wang, W Wang, J Xie, S Yang, Z Zeng, ... Journal of Biopharmaceutical Statistics 32 (6), 969-985, 2022 | 5 | 2022 |
| Quantile correlation-based variable selection W Tang, J Xie, Y Lin, N Tang Journal of Business & Economic Statistics 40 (3), 1081-1093, 2022 | 5 | 2022 |
| Model averaging for multiple quantile regression with covariates missing at random X Ding, J Xie, X Yan Journal of Statistical Computation and Simulation 91 (11), 2249-2275, 2021 | 5 | 2021 |
| Scalable inference in functional linear regression with streaming data J Xie, E Shi, P Sang, Z Shang, B Jiang, L Kong arXiv preprint arXiv:2302.02457, 2023 | 4 | 2023 |
| Inference on high-dimensional single-index models with streaming data D Han, J Xie, J Liu, L Sun, J Huang, B Jian, L Kong arXiv preprint arXiv:2210.00937, 2022 | 2 | 2022 |
| Post-selection Inference of High-dimensional Logistic Regression Under Case–Control Design Y Lin, J Xie, R Han, N Tang Journal of Business & Economic Statistics 41 (2), 624-635, 2023 | 1 | 2023 |
| Tuning-free sparse clustering via alternating hard-thresholding W Dong, C Xu, J Xie, N Tang Journal of Multivariate Analysis 203, 105330, 2024 | | 2024 |
| Tracking full posterior in online Bayesian classification learning: a particle filter approach E Shi, J Xie, S Hu, K Sun, H Dai, B Jiang, L Kong, L Li Journal of Nonparametric Statistics, 1-19, 2024 | | 2024 |
| High‐dimensional model averaging for quantile regression J Xie, X Ding, B Jiang, X Yan, L Kong Canadian Journal of Statistics 52 (2), 618-635, 2024 | | 2024 |
| A functional nonlinear mixed effects modeling framework for longitudinal functional responses L Kong, X Luo, J Xie, L Zhu, H Zhu Electronic Journal of Statistics 18 (1), 1355-1393, 2024 | | 2024 |
| Scalable Inference for Individual Treatment Effect X Yan, J Xie, W Tu, B Jiang, L Kong Statistics and Its Interface, accepted, 2023 | | 2023 |
