| Testing community structure for hypergraphs M Yuan, R Liu, Y Feng, Z Shang The Annals of Statistics 50 (1), 147-169, 2022 | 48* | 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 |
| 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 | 36 | 2023 |
| On deep instrumental variables estimate R Liu, Z Shang, G Cheng arXiv preprint arXiv:2004.14954, 2020 | 29 | 2020 |
| Optimal nonparametric inference via deep neural network R Liu, B Boukai, Z Shang Journal of Mathematical Analysis and Applications 505 (2), 125561, 2022 | 22 | 2022 |
| 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 | 12 | 2021 |
| 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 |
| 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 | 8 | 2023 |
| Minimax optimal deep neural network classifiers under smooth decision boundary T Hu, R Liu, Z Shang, G Cheng arXiv preprint arXiv:2207.01602, 2022 | 4 | 2022 |
| 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 |
| Estimation and Hypothesis Testing of Derivatives in Smoothing Spline ANOVA Models R Liu, K Li, M Li arXiv preprint arXiv:2308.13905, 2023 | 3 | 2023 |
| 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 |
| Inverse regression for spatially distributed functional data SB Chatla, R Liu arXiv preprint arXiv:2402.03206, 2024 | 1 | 2024 |
| Online Statistical Inference for Time-varying Sample-averaged Q-learning SK Panda, R Liu, Y Xiang arXiv preprint arXiv:2410.10737, 2024 | | 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 |
尚作峰 (Zuofeng Shang)New Jersey Institute of TechnologyVerified email at njit.edu