KMap
I am an associate professor of Mathematics at the University of Arizona (UA). I am an editor of the jounral STAT. I received my B.S. in Mathematics from Peking University, and Ph.D. from the Department of Mathematics at Stony Brook University. I spent one year as a research associate at the statistics lab, Princeton University before joining the UA. I am co-organizer of UA TRIPODS research working group (RWG) 6. I am coaching Sunrise Drive Mathleague Club with my colleagues Selena Niu and Helen Zhang. In 2020-2021, the club has been expanded to all four elementary schools in CFSD16.

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Courses
  • ISC
    Introduction to Statistical Computing

  • TSI
    Theoretical Statistics I

  • CII
    Calculus II

  • ISB
    Introduction to Statistics and Biostatistics

  • ISM
    Introduction to Statistical Methods

  • CI
    Calculus I

  • SC
    Statistical Computing

  • TS
    Theory of Statistics

  • TSII
    Theoretical Statistics II

  • TMA
    Topics in Modern Analysis

Grants
  • Funding agency logo
    Scalable Methods in High Dimensional Statistical Learning

    Principal Investigator (PI)

    2017

    $42.0K
    Active
  • Funding agency logo
    Collaborative Research: Scalable and Flexible Algorithms to Detect Structural Change in Complex Sequencing Data

    Co-Investigator (COI)

    2017

    $166.0K
  • Funding agency logo
    Flexible Modeling for High-Dimensional Complex Data: Theory, Methodology, and Computation

    Co-Investigator (COI)

    2013

    $150.0K
Publications (28)
Recent
  • Quadratic Discriminant Analysis by Projection

    2022

  • Variational Estimators of the Degree-corrected Latent Block Model for Bipartite Networks

    2022

  • Equivariant variance estimation for multiple change-point model

    2021

  • A super scalable algorithm for short segment detection

    2021

  • A super scalable algorithm for segment detection

    2020

  • A backward procedure for change-point detection with applications to copy number variation detection

    2020

  • A Backward Procedure for Change-point Detection with Application to Copy Number Variation Detection

    2020

  • An Accurate and Powerful Method for Copy Number Variation Detection

    2019

  • Interaction Screening by Partial Correlation

    2018

  • Model Selection for High-Dimensional Quadratic Regression via Regularization

    2018

  • A new reduced-rank linear discriminant analysis method and its applications

    2018

  • Oracle P-values and Variable Screening

    2017

  • A Note on High Dimensional Regression Models with Interactions

    2017

  • A note on high-dimensional linear regression with interactions

    2017

  • modSaRa: a computationally efficient R package for CNV identification

    2017

  • Multiple change-point detection: a selective overview

    2016

  • Multiple Change-Point Detection, a Selective Overview

    2016

  • Package ‘modSaRa’

    2016

  • Sparsifying the Fisher Linear Discriminant by Rotation

    2015

  • Semi-supervised high-dimensional clustering by tight wavelet frames

    2015

  • Interaction screening for ultrahigh-dimensional data

    2014

  • Interaction Screening for Ultra-High Dimensional Data

    2014

  • Multiple Change-Point Detection via a Screening and Ranking Algorithm

    2013

  • Variance estimation using refitted cross‐validation in ultrahigh dimensional regression

    2012

  • Detection of rare functional variants using group ISIS

    2011

  • D-bar spark theory and Deligne cohomology

    2009

  • On the ring structure of spark characters

    2008

  • Higher cohomology of the pluricanonical bundle is not deformation invariant

    2006

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