• Identification and Estimation in Panel Models with Overspecified Number of Groups   &
    Ruiqi Liu, Zuofeng Shang, Qiankun Zhou and Yonghui Zhang
    Journal of Econometrics, 215(2): 574-590, 2020

  • A Consistent Test of Independence and Goodness-of-fit in Linear Regression Models  
    Qiqing Yu and Ruiqi Liu
    Communications in Statistics - Simulation and Computation, 2020

  • Statistical Inference on Panel Data Models: A Kernel Ridge Regression Method   &
    Shunan Zhao, Ruiqi Liu and Zuofeng Shang
    Journal of Business & Economic Statistics, 39(1): 325-337, 2021

  • Testing Community Structure for Hypergraphs  
    (Mingao Yuan, Ruiqi Liu, Yang Feng and Zuofeng Shang
    Annals of Statistics, accepted, 2021

  • Optimal Nonparametric Inference via Deep Neural Network   &
    Ruiqi Liu, Ben Boukai and Zuofeng Shang,
    Journal of Mathematical Analysis and Applications, 505(2): 125561, 2022

  • Optimal Nonparametric Inference Under Quantization  
    Ruiqi Liu, Ganggang Xu and Zuofeng Shang, 2019

  • Statistical Inference on Partially Linear Panel Model under Unobserved Linearity  
    Ruiqi Liu, Ben Boukai and Zuofeng Shang, 2019

  • On Deep Instrument Variables Estimate  
    Ruiqi Liu, Zuofeng Shang and Guang Cheng, 2020

  • A Computationally Efficient Classification Algorithm in Posterior Drift Model: Phase Transition and Minimax Adaptivity  
    Ruiqi Liu, Kexuan Li and Zuofeng Shang, 2020

  • Distributed Adaptive Nearest Neighbor Classifier: Algorithm and Theory  
    Ruiqi Liu, Ganggang Xu and Zuofeng Shang, 2021

  • Online Statistical Inference for Parameters Estimation with Linear-Equality Constraints  
    Ruiqi Liu, Mingao Yuan and Zuofeng Shang, 2021

  • Calibrating Multi-dimensional Complex ODE from Noisy Data via Deep Neural Networks  
    Kexuan Li, Fangfang Wang, Ruiqi Liu, Fan Yang and Zuofeng Shang, 2021