| 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, 2019 | 30 | 2019 |
| 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 | 19 | 2018 |
| 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 | 17 | 2022 |
| 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 | 14 | 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 | 13 | 2021 |
| 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 |
| 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 | 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 |
| 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 | 6 | 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 |
| Quantile correlation-based variable selection W Tang, J Xie, Y Lin, N Tang Journal of Business & Economic Statistics 40 (3), 1081-1093, 2022 | 4 | 2022 |
| 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 | 2 | 2023 |
| 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 | 2 | 2022 |
| 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 |
| 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 |
| Non-asymptotic Analysis of Stochastic Gradient Descent under Local Differential Privacy Guarantee E Shi, J Xie, L Kong, B Jiang | | 2023 |
| High‐dimensional model averaging for quantile regression J Xie, X Ding, B Jiang, X Yan, L Kong Canadian Journal of Statistics, 2023 | | 2023 |
| Supplementary material for “Post-selection inference of high-dimensional logistic regression under case-control design” Y Lin, J Xie, R Han, N Tang | | |
| Quantile correlation-based variable selection (Supplementary materials) W Tang, J Xie, Y Lin, N Tang | | |
