When Statistics Embraces A.I.

Purdue Department of Statistics

Xiao Wang, Professor of Statistics

 

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Email: wangxiao AT purdue.edu

Education

Teaching

  • STAT695: Deep Learning
  • STAT598: Statistical Machine Learning
  • STAT528: Mathematical Statistics
  • STAT517: Mathematical Statistics and its Applications
  • STAT516: Probability and its Applications
  • STAT417: Statistical Theory
  • STAT416: Probability 

Research

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

What's New

  • New paper! On May 18, 2023, the paper "Partial Conditioning for Inference of Many-Normal-Means with Holder Constraints" with Jiasen Yang and Chuanhai Liu is accepted by International Journal of Approximate Reasoning.
  • Congratulations!  On May 16, 2023, Hyeong jin Hyun's paper has been selected as one of the five papers for Honorable Mention for the student paper competition at the ICSA Applied Statistics Symposium to be held in Ann Arbor on June 11-14, 2023.
  • Xiao Wang is awarded the Professional Achievement Award, College of Science, Purdue University.
  • Congratulations! Yijia Liu won 2023 William J. Studden Publication Award, Department of Statistics, Purdue University.
  • Congratulations! On February 1, 2023, the paper with Yixuan Qiu, "Efficient Multimodal Sampling via Tempered Distribution Flow" is accepted by JASA.
  • Congratulations! On January 20, 2023, Hyeong jin Hyun's paper on neural inference wins 2023 JSM Best Paper Award in Business & Economics section.
  • A new course on Statistical Machine Learning (STAT598) will be offered at Fall 2022. A draft syllabus is here.
  • Congratulations! On May 24, 2022, Jungeum Kim successfully completed her final defense. Her thesis title is ``Bridging the gap between human and computer vision: Adversarial and manifold learning for high-dimensional data".
  • New paper! On May 3, 2022, Jungeum Kim's paper "Robust Sensible Adversarial Learning of Deep Neural Networks for Image Classification" is accepted by AOAS.
  • New paper! On November 29, 2021, "Functional Finite Mixture Regression Models" is accepted by Statatistica Sinica. This is a joint work with Leo Yu-Feng Liu and Hongtu Zhu. 
  • 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.