Testing community structure for hypergraphs M Yuan, R Liu, Y Feng, Z Shang
The Annals of Statistics 50 (1), 147-169, 2022
45 * 2022 Identification and estimation in panel models with overspecified number of groups R Liu, Z Shang, Y Zhang, Q Zhou
Journal of econometrics 215 (2), 574-590, 2020
45 2020 On deep instrumental variables estimate R Liu, Z Shang, G Cheng
arXiv preprint arXiv:2004.14954, 2020
29 2020 Deep feature screening: Feature selection for ultra high-dimensional data via deep neural networks K Li, F Wang, L Yang, R Liu
Neurocomputing 538, 126186, 2023
28 2023 Optimal nonparametric inference via deep neural network R Liu, B Boukai, Z Shang
Journal of Mathematical Analysis and Applications 505 (2), 125561, 2022
21 2022 Calibrating multi-dimensional complex ODE from noisy data via deep neural networks K Li, F Wang, R Liu, F Yang, Z Shang
Journal of Statistical Planning and Inference, 106147, 2024
11 2024 Statistical inference on panel data models: A kernel ridge regression method S Zhao, R Liu, Z Shang
Journal of Business & Economic Statistics 39 (1), 325-337, 2021
11 2021 Online statistical inference for parameters estimation with linear-equality constraints R Liu, M Yuan, Z Shang
Journal of Multivariate Analysis 191, 105017, 2022
10 2022 Statistical Inference with Stochastic Gradient Methods under -mixing Data R Liu, X Chen, Z Shang
arXiv preprint arXiv:2302.12717, 2023
7 2023 A computationally efficient classification algorithm in posterior drift model: Phase transition and minimax adaptivity R Liu, K Li, Z Shang
arXiv preprint arXiv:2011.04147, 2020
4 2020 Minimax optimal deep neural network classifiers under smooth decision boundary T Hu, R Liu, Z Shang, G Cheng
arXiv preprint arXiv:2207.01602, 2022
3 2022 Nonparametric Inference under B-bits Quantization K Li, R Liu, G Xu, Z Shang
Journal of Machine Learning Research 25 (19), 1-68, 2024
2 * 2024 Estimation and Hypothesis Testing of Derivatives in Smoothing Spline ANOVA Models R Liu, K Li, M Li
arXiv preprint arXiv:2308.13905, 2023
2 2023 Inverse regression for spatially distributed functional data SB Chatla, R Liu
arXiv preprint arXiv:2402.03206, 2024
1 2024 Dynamic resource matching in manufacturing using deep reinforcement learning SK Panda, Y Xiang, R Liu
European Journal of Operational Research, 2024
2024 Distributed adaptive nearest neighbor classifier: algorithm and theory R Liu, G Xu, Z Shang
Statistics and Computing 33 (5), 96, 2023
2023 Statistical Inference on Partially Linear Panel Model under Unobserved Linearity R Liu, B Boukai, Z Shang
arXiv preprint arXiv:1911.08830, 2019
2019