| 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 | 51 | 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 | 34 | 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 | 29 | 2018 |
| 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 | 27 | 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 | 27 | 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 | 20 | 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 | 15 | 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 | 11 | 2022 |
| Inference on high-dimensional single-index models with streaming data D Han, J Xie, J Liu, L Sun, J Huang, B Jiang, L Kong Journal of Machine Learning Research 25 (337), 1-68, 2024 | 9 | 2024 |
| 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 | 9 | 2023 |
| Fused variable screening for massive imbalanced data J Xie, M Hao, W Liu, Y Lin Computational Statistics & Data Analysis 141, 94-108, 2020 | 9 | 2020 |
| Quantile correlation-based variable selection W Tang, J Xie, Y Lin, N Tang Journal of Business & Economic Statistics 40 (3), 1081-1093, 2022 | 7 | 2022 |
| Linglong Kong, and Hongsheng Dai. 2022. Balancing Gender Bias in Job Advertisements With Text-Level Bias Mitigation. Frontiers Big Data 5 (2022), 805713 S Hu, JA Al-Ani, KD Hughes, N Denier, A Konnikov, L Ding, J Xie, Y Hu, ... | 7 | 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 | 7 | 2021 |
| 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 | 6 | 2022 |
| Statistical inference for smoothed quantile regression with streaming data J Xie, X Yan, B Jiang, L Kong Journal of Econometrics 249, 105924, 2025 | 5 | 2025 |
| 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 | 5 | 2023 |
| An adaptive transfer learning framework for functional classification C Qin, J Xie, T Li, Y Bai Journal of the American Statistical Association 120 (550), 1201-1213, 2025 | 4 | 2025 |
| Sampling-guided Heterogeneous Graph Neural Network with Temporal Smoothing for Scalable Longitudinal Data Imputation Z Zhang, Z Chen, Q Liu, J Xie, H Zhu Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and …, 2025 | 2 | 2025 |
| Online federated learning framework for classification W Guo, J Xie, J Lu, H Dai, L Kong arXiv preprint arXiv:2503.15210, 2025 | 1 | 2025 |
