| Asymptotic theory of sparse Bradley–Terry model R Han, R Ye, C Tan, K Chen Annals of Applied Probability 30 (5), 2491-2515, 2020 | 59 | 2020 |
| Curiosity‐driven recommendation strategy for adaptive learning via deep reinforcement learning R Han, K Chen, C Tan British journal of mathematical and statistical psychology 73 (3), 522-540, 2020 | 42 | 2020 |
| Adaptive learning recommendation strategy based on deep Q-learning C Tan, R Han, R Ye, K Chen Applied psychological measurement 44 (4), 251-266, 2020 | 42 | 2020 |
| Online inference with debiased stochastic gradient descent R Han, L Luo, Y Lin, J Huang Biometrika 111 (1), 93-108, 2024 | 25 | 2024 |
| A survey on large language model-based agents for statistics and data science M Sun, R Han, B Jiang, H Qi, D Sun, Y Yuan, J Huang The American Statistician, 1-14, 2025 | 23 | 2025 |
| Online inference in high-dimensional generalized linear models with streaming data L Luo, R Han, Y Lin, J Huang Electronic journal of statistics 17 (2), 3443, 2023 | 22* | 2023 |
| Online debiased lasso for streaming data R Han, L Luo, Y Lin, J Huang arXiv preprint arXiv:2106.05925, 2021 | 22 | 2021 |
| Lambda: A large model based data agent M Sun, R Han, B Jiang, H Qi, D Sun, Y Yuan, J Huang Journal of the American Statistical Association, 1-13, 2025 | 21 | 2025 |
| A general pairwise comparison model for extremely sparse networks R Han, Y Xu, K Chen Journal of the American Statistical Association 118 (544), 2422-2432, 2023 | 19 | 2023 |
| An approximate control variates approach to multifidelity distribution estimation R Han, B Kramer, D Lee, A Narayan, Y Xu SIAM/ASA Journal on Uncertainty Quantification, 2024 | 11 | 2024 |
| A unified analysis of likelihood-based estimators in the Plackett--Luce model R Han, Y Xu The Annals of Statistics 53 (3), 2077-2102, 2025 | 10 | 2025 |
| Probabilistic methods for approximate archetypal analysis R Han, B Osting, D Wang, Y Xu Information and Inference: A Journal of the IMA 12 (1), 466-493, 2023 | 9 | 2023 |
| 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 |
| Statistical inference for pairwise comparison models R Han, W Tang, Y Xu arXiv preprint arXiv:2401.08463, 2024 | 3 | 2024 |
| Statistical ranking with dynamic covariates P Dong, R Han, B Jiang, Y Xu Journal of the Royal Statistical Society Series B: Statistical Methodology, 2025 | 2 | 2025 |
| Adaptive debiased SGD in high-dimensional GLMs with streaming data R Han, L Luo, Y Luo, Y Lin, J Huang arXiv preprint arXiv:2405.18284, 2024 | 2 | 2024 |
| Bivariate gamma model R Han, K Chen, C Tan Journal of Multivariate Analysis 180, 104666, 2020 | 2 | 2020 |
| Learning Guarantee of Reward Modeling Using Deep Neural Networks Y Luo, Y Ge, R Han, G Shen arXiv preprint arXiv:2505.06601, 2025 | 1 | 2025 |
| Recent advances in the Bradley--Terry Model: theory, algorithms, and applications S Fang, R Han, Y Luo, Y Xu arXiv preprint arXiv:2601.14727, 2026 | | 2026 |
| DSAEval: Evaluating Data Science Agents on a Wide Range of Real-World Data Science Problems M Sun, Y Xie, Y Wu, R Han, B Jiang, D Sun, Y Yuan, J Huang arXiv preprint arXiv:2601.13591, 2026 | | 2026 |
Huang, JianDepartments of Data Science and AI, and Applied Mathematics, The Hong Kong Polytechnic UniversityVerified email at polyu.edu.hk
