When Statistics Embraces A.I.

Purdue Department of Statistics

Xiao Wang, Professor of Statistics

 

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Education

Teaching

Research

  • AI
  • Machine Learning
  • Nonparametric Statistics
  • Functional Data Analysis
  • Reliability

What's New

  • New paper! On September 8, 2021, Yao Chen and Qingyi Gao's paper "Inferential Wasserstein GANs" is accepted by JRSSB
  • New paper! On July 6, 2021, Yijia Liu's paper "A Nonlinear Sparse Neural ODE Model for Multiple Functional Processes" is accepted by CJS.
  • On April 13, 2021, Xiao Wang is elected as the fellow of the American Statistical Association (ASA)!
  • On April 6, 2021, Xiao Wang is elected as the fellow of the Institute of Mathematical Statistics (IMS)!
  • New paper! On January 18, 2021, Qingyi's paper "Theoretical Investigation of Generalization Bounds for Adversarial Learning for Deep Neural Networks" is accepted by JSTP.
  • New paper! On December 15, 2020, "High-Dimensional Spatial Quantile Function-on-Scalar Regression" is accepted by JASA.
  • New paper! On December, 2020, Yixi's paper "Weight Normalized Deep Neural Networks" is accepted by STAT.
  • New paper! On September 2020, Jiapeng's paper "Cross-Lingual Document Retrieval with Smooth Learning" is accepted by COLING 2020.
  • New paper! On August 2020, Yao and Qingyi's paper "Deep Feature Selection via Deep Neural Networks" is accepted by JCGS. It is the winner of the 2019 ASA SLDS Student Paper Award.
  • New paper! On November 15, 2019, Yixuan Qiu's paper "Stochastic Approximate Gradient Descent via the Langevin Algorithm" is accepted by AAAI 2020.
  • New paper! On October 27, 2019, Yixi Xu's paper "Sparse Deep Neural Networks using L_{1,\inf} Weight Normalization" is accepted by Statistica Sinica.
  • New paper! On October 21, 2019, Yixuan Qiu's paper "ALMOND:Adaptive Latent Modeling and Optimization via Neural Networks and Langevin Diffusion" is accepted by Journal of the American Statistical Association.
  • New paper! On May 2019, "Theoretical Investigation of Generalization Bound for Residual Networks" is accepted by International Joint Conference on Artifical Intellegence (IJCAI) 2019.
  • New paper! On Feb. 2019, "D-CCA: A Decomposition-based Canonical Correlation Analysis for High-Dimensional Datasets" is accepted by Journal of the American Statistical Association.
  • Congratulations! On January 15th, 2019, Yao Chen's paper "Nonlinear Variable Selection via Deep Neural Networks" has been named the winner of the 2019 SLDS Student Paper Award.
  • New Paper! On September 5th, 2018, Yixi Xu's paper "Understanding Weight Normalized Deep Neural Networks with Rectified Linear Units" is accepted in Conference on Neural Information Processing Systems (NIPS) 2018.
  • New Paper! On September 5th, 2018, Yao Chen's paper "Classification of short single lead electrocardiograms (ECGs) for atrial fibrillation detection using piecewise linear spline and XGBoost" is accepted in Physiological Measurement.