Ningshan Zhang   张宁珊

E-mail: nzhang {@ | at} stern.nyu.edu
Office: 44 West 4th Street, Room 8-154, New York, NY 10012

I am currently a fifth year PhD student in the Statistics group at the New York University Stern School of Business. I am working with Professor Jeffrey Simonof and Professor Mehryar Mohri. My research interests include domain adaptation, active learning, on-line learning, and generative adversarial networks (GAN).

Prior to joining Stern, I worked as a Data Scientist at YP. I received my Master's degree in Applied Statitsics from Cornell University in 2012, and my Bachelor's degree in Mathematics from Tsinghua University in July 2011.  

Papers

  • Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, and Ningshan Zhang. Online Learning with Dependent Stochastic Feedback Graphs. In ICML 2020.

  • Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, and Ningshan Zhang. Adaptive Region-based Active Learning. In ICML 2020.

  • Ben Adlam, Corinna Cortes, Mehryar Mohri, and Ningshan Zhang. Learning GANs and Ensembles Using Discrepancy. In NeurIPS 2019.

  • Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, and Ningshan Zhang. Active Learning with Disagreement Graphs. In ICML 2019. [slides]

  • Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, and Ningshan Zhang. Region-based Active Learning. In AISTATS 2019.

  • Judy Hoffman, Mehryar Mohri and Ningshan Zhang. Algorithms and Theory for Multiple-Source Adaptation. In NeurIPS 2018.

  • Ningshan Zhang and Jeffrey S. Simonoff. Joint Latent Class Trees: A Tree-Based Approach to Joint Modeling of Time-to-event and Longitudinal Data. Submitted. [R pacakge]

  • Ningshan Zhang, Kyle Schmaus and Patrick O. Perry. Fitting a Deeply-nested Hierarchical Model to a Large Book Review Dataset Using a Moment-based Estimator. Ann. Appl. Stat., Volume 13, Number 4 (2019), 2260-2288. [R pacakge]

    • Teaching

  • Statistics for Business Control, NYU Stern, Summer 2018.  

    • TA

  • Foundations of Machine Learning, NYU Computer Science, Fall 2016, 2017, 2018.  
  • Advanced Machine Learning, NYU Computer Science, Spring 2017, 2018.