| Synthetic Oversampling: Theory and A Practical Approach Using LLMs to Address Data Imbalance R Nakada, Y Xu, L Li, L Zhang arXiv preprint arXiv:2406.03628, 2024 | | 2024 |
| High-dimensional multisubject time series transition matrix inference with application to brain connectivity analysis X Lyu, J Kang, L Li Biometrics 80 (2), ujae021, 2024 | | 2024 |
| Dynamic noise estimation: A generalized method for modeling noise fluctuations in decision-making JJ Li, C Shi, L Li, AGE Collins Journal of Mathematical Psychology 119, 102842, 2024 | 3 | 2024 |
| Functional Directed Acyclic Graphs KY Lee, L Li, B Li Journal of Machine Learning Research 25 (78), 1-48, 2024 | | 2024 |
| Post-Regularization Confidence Bands for Ordinary Differential Equations X Dai, L Li | 2 | 2024 |
| Estimation and Inference for High-dimensional Multi-response Growth Curve Model X Zhou, Y Xia, L Li arXiv preprint arXiv:2312.16769, 2023 | | 2023 |
| Multivariate dynamic mediation analysis under a reinforcement learning framework L Luo, C Shi, J Wang, Z Wu, L Li arXiv preprint arXiv:2310.16203, 2023 | 1 | 2023 |
| Testing for the Markov property in time series via deep conditional generative learning Y Zhou, C Shi, L Li, Q Yao Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2023 | 6 | 2023 |
| Testing directed acyclic graph via structural, supervised and generative adversarial learning C Shi, Y Zhou, L Li Journal of the American Statistical Association, 1-14, 2023 | 2 | 2023 |
| Orthogonalized kernel debiased machine learning for multimodal data analysis X Dai, L Li Journal of the American Statistical Association 118 (543), 1796-1810, 2023 | 8 | 2023 |
| Nonparametric functional graphical modeling through functional additive regression operator KY Lee, L Li, B Li, H Zhao Journal of the American Statistical Association 118 (543), 1718-1732, 2023 | 10 | 2023 |
| Kernel knockoffs selection for nonparametric additive models X Dai, X Lyu, L Li Journal of the American Statistical Association 118 (543), 2158-2170, 2023 | 14 | 2023 |
| Generalized liquid association analysis for multimodal data integration L Li, J Zeng, X Zhang Journal of the American Statistical Association 118 (543), 1984-1996, 2023 | 5 | 2023 |
| Sequential best-arm identification with application to brain-computer interface X Zhou, B Hao, J Kang, T Lattimore, L Li arXiv preprint arXiv:2305.11908, 2023 | 2 | 2023 |
| Optimizing pessimism in dynamic treatment regimes: A bayesian learning approach Y Zhou, Z Qi, C Shi, L Li International Conference on Artificial Intelligence and Statistics, 6704-6721, 2023 | 11 | 2023 |
| Multivariate temporal point process regression X Tang, L Li Journal of the American Statistical Association 118 (542), 830-845, 2023 | 12 | 2023 |
| Generalized connectivity matrix response regression with applications in brain connectivity studies J Zhang, WW Sun, L Li Journal of Computational and Graphical Statistics 32 (1), 252-262, 2023 | 15 | 2023 |
| Conditional functional graphical models KY Lee, D Ji, L Li, T Constable, H Zhao Journal of the American Statistical Association 118 (541), 257-271, 2023 | 13 | 2023 |
| Partially observed dynamic tensor response regression J Zhou, WW Sun, J Zhang, L Li Journal of the American Statistical Association 118 (541), 424-439, 2023 | 28 | 2023 |
| A generalized method for dynamic noise inference in modeling sequential decision-making JJ Li, C Shi, L Li, AGE Collins Proceedings of the Annual Meeting of the Cognitive Science Society 45 (45), 2023 | 1 | 2023 |
