| Quantitative tract-based white matter heritability in twin neonates SJ Lee, RJ Steiner, S Luo, MC Neale, M Styner, H Zhu, JH Gilmore Neuroimage 111, 123-135, 2015 | 47 | 2015 |
| Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework C Shi, X Wang, S Luo, H Zhu, J Ye, R Song Journal of the American Statistical Association 118 (543), 2059-2071, 2023 | 36 | 2023 |
| Forward selection and estimation in high dimensional single index models S Luo, S Ghosal Statistical Methodology 33, 172-179, 2016 | 35 | 2016 |
| Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process C Shi, J Zhu, S Ye, S Luo, H Zhu, R Song Journal of the American Statistical Association, 1-12, 2022 | 32 | 2022 |
| Semiparametric single-index model for estimating optimal individualized treatment strategy R Song, S Luo, D Zeng, HH Zhang, W Lu, Z Li Electronic journal of statistics 11 (1), 364, 2017 | 31 | 2017 |
| Sure screening for Gaussian graphical models S Luo, R Song, D Witten arXiv preprint arXiv:1407.7819, 2014 | 27 | 2014 |
| A Joint Inverse Reinforcement Learning and Deep Learning Model for Drivers' Behavioral Prediction G Wu, Y Li, S Luo, G Song, Q Wang, J He, J Ye, X Qie, H Zhu Proceedings of the 29th ACM International Conference on Information …, 2020 | 12 | 2020 |
| An Instrumental Variable Approach to Confounded Off-Policy Evaluation Y Xu, J Zhu, C Shi, S Luo, R Song International Conference on Machine Learning, 38848-38880, 2023 | 10 | 2023 |
| Graph-based equilibrium metrics for dynamic supply–demand systems with applications to ride-sourcing platforms F Zhou, S Luo, X Qie, J Ye, H Zhu Journal of the American Statistical Association 116 (536), 1688-1699, 2021 | 9 | 2021 |
| Statistically Efficient Advantage Learning for Offline Reinforcement Learning in Infinite Horizons C Shi, S Luo, Y Le, H Zhu, R Song Journal of the American Statistical Association, 1-14, 2022 | 8 | 2022 |
| Conformal off-policy prediction Y Zhang, C Shi, S Luo International Conference on Artificial Intelligence and Statistics, 2751-2768, 2023 | 5 | 2023 |
| An online sequential test for qualitative treatment effects C Shi, S Luo, H Zhu, R Song Journal of Machine Learning Research 22 (286), 1-51, 2021 | 5 | 2021 |
| Prediction consistency of forward iterated regression and selection technique S Luo, S Ghosal Statistics & Probability Letters 107, 79-83, 2015 | 4 | 2015 |
| A Multiagent Reinforcement Learning Framework for Off-Policy Evaluation in Two-sided Markets C Shi, R Wan, G Song, S Luo, H Zhu, R Song The Annals of Applied Statistics 17 (4), 2701-2722, 2023 | 3 | 2023 |
| Pattern transfer learning for reinforcement learning in order dispatching R Wan, S Zhang, C Shi, S Luo, R Song IJCAI 2021 RL4ITS, 2021 | 3 | 2021 |
| Policy Evaluation for Temporal and/or Spatial Dependent Experiments S Luo, Y Yang, C Shi, F Yao, J Ye, H Zhu Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2024 | 2 | 2024 |
| Robust offline reinforcement learning with heavy-tailed rewards J Zhu, R Wan, Z Qi, S Luo, C Shi International Conference on Artificial Intelligence and Statistics, 541-549, 2024 | | 2024 |
| Pessimistic Causal Reinforcement Learning with Mediators for Confounded Offline Data D Wang, C Shi, S Luo, WW Sun arXiv preprint arXiv:2403.11841, 2024 | | 2024 |
| Causal Probabilistic Spatio-temporal Fusion Transformers in Two-sided Ride-Hailing Markets S Wan, S Luo, H Zhu ACM Transactions on Spatial Algorithms and Systems, 2024 | | 2024 |
| DNet: Distributional Network for Distributional Individualized Treatment Effects G Wu, G Song, X Lv, S Luo, C Shi, H Zhu Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | | 2023 |
Hongtu ZhuProfessor of Biostatistics, The University of North Carolina at Chapel Hill在 email.unc.edu 的电子邮件经过验证
