# overview
I work on statistical problems with modern data complications such as big data, high dimensionality and manifold structures.

# keywords[]
Fully And Partially Conditional Average Treatment Effect

# keywords[]
Feature Assisted Neighborhood Smoothing (fans)

# educationAndTraining[].organization.label
University of California, Davis - (Davis, California, United States)

# educationAndTraining[].organization.label
Chinese University of Hong Kong - (Shatin, Hong Kong, China)

# educationAndTraining[].field
Statistics, minor in Mathematics and Risk Management Science

# educationAndTraining[].organization.label
Chinese University of Hong Kong - (Shatin, Hong Kong, China)

# publications[].label
Robust Estimation for Generalized Additive Models

# publications[].label
Projected State-action Balancing Weights for Offline Reinforcement   Learning

# publications[].label
Kernel-based covariate functional balancing for observational studies.

# publications[].label
Adjusting for Spatial Effects in Genomic Prediction

# publications[].label
Median Matrix Completion: from Embarrassment to Optimality

# publications[].label
Extending the Use of MDL for High-Dimensional Problems: Variable   Selection, Robust Fitting, and Additive Modeling

# publications[].label
Autoencoders Learn Generative Linear Models

# publications[].label
Tensor Linear Regression: Degeneracy and Solution

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Balancing Method for Non-monotone Missing Data

# publications[].label
REJOINDER: "FIBER DIRECTION ESTIMATION, SMOOTHING AND TRACKING IN DIFFUSION MRI".

# publications[].label
A frequentist approach to computer model calibration

# publications[].label
Matrix Completion with Model-free Weighting

# publications[].label
Prediction of Tropical Pacific Rain Rates with Over-parameterized Neural   Networks

# publications[].label
Handbook of Matching and Weighting Adjustments for Causal Inference

# publications[].label
Partially Linear Functional Additive Models for Multivariate Functional Data

# publications[].label
Experimental Design & Pilot Testing for ECLSS Anomaly solution using Daphne-AT Virtual Assistant

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
AUTOMATIC ESTIMATION OF FLUX DISTRIBUTIONS OF ASTROPHYSICAL SOURCE POPULATIONS

# publications[].label
Estimation of partially conditional average treatment effect by double kernel-covariate balancing

# publications[].label
Matrix Completion with Noisy Entries and Outliers

# publications[].label
A New Constraint on the Nuclear Equation of State from Statistical   Distributions of Compact Remnants of Supernovae

# publications[].label
Low-Rank Covariance Function Estimation for Multidimensional Functional Data

# publications[].label
Directed Cyclic Graph for Causal Discovery from Multivariate Functional   Data

# publications[].label
MATRIX COMPLETION UNDER LOW-RANK MISSING MECHANISM

# publications[].publisher
Statistica Sinica (Institute of Statistical Science)

# publications[].label
An Advanced Statistical Approach to Data-Driven Earthquake Engineering

# publications[].label
Bayesian Nonlinear Tensor Regression with Functional Fused Elastic Net Prior

# publications[].label
On the Dynamics of Gradient Descent for Autoencoders

# publications[].label
Flexible Functional Treatment Effect Estimation

# publications[].label
Nonparametric Cepstrum Estimation via Optimal Risk Smoothing

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
A full bayesian approach for boolean genetic network inference.

# publications[].label
EXTENDING THE USE OF MDL FOR HIGH-DIMENSIONAL PROBLEMS: VARIABLE SELECTION, ROBUST FITTING, AND ADDITIVE MODELING

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
RKHS-based covariate balancing for survival causal effect estimation.

# publications[].label
Statistical and Machine Learning Methods Applied to the Prediction of Different Tropical Rainfall Types.

# publications[].label
Hierarchical nuclear norm penalization for multi-view data

# publications[].label
Matrix Completion with Model-free Weighting

# publications[].label
DETECTING ABRUPT CHANGES IN THE SPECTRA OF HIGH-ENERGY ASTROPHYSICAL SOURCES

# publications[].label
3D Interactive Model of HERA to support ECLSS anomaly resolution using a Virtual Assistant

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Structural break estimation of noisy sinusoidal signals

# publications[].label
A New Constraint on the Nuclear Equation of State from Statistical Distributions of Compact Remnants of Supernovae

# publications[].label
Implicit Sparse Regularization: The Impact of Depth and Early Stopping

# publications[].label
Phenomic data-driven biological prediction of maize through field-based high throughput phenotyping integration with genomic data.

# publications[].label
A Provable Approach for Double-Sparse Coding

# publications[].label
A Wavelet-Based Independence Test for Functional Data With an Application to MEG Functional Connectivity

# publications[].label
Hierarchical nuclear norm penalization for multi-view data integration.

# publications[].label
The Impact of Discharge Inversion Effect on Learning SRAM Power-Up Statistics

# publications[].label
Locally linear embedding with additive noise

# publications[].label
Implicit Sparse Regularization: The Impact of Depth and Early Stopping

# publications[].label
Estimation of Partially Conditional Average Treatment Effect by Hybrid   Kernel-covariate Balancing

# publications[].label
Benefits of Jointly Training Autoencoders: An Improved Neural Tangent Kernel Analysis

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Implicit Regularization for Group Sparsity

# publications[].label
Network Estimation via Graphon With Node Features

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Distributional Off-policy Evaluation with Bellman Residual Minimization

# publications[].label
A Wavelet-Based Independence Test for Functional Data with an   Application to MEG Functional Connectivity

# publications[].label
FIBER DIRECTION ESTIMATION, SMOOTHING AND TRACKING IN DIFFUSION MRI.

# publications[].label
Bayesian Nonlinear Tensor Regression with Functional Fused Elastic Net   Prior

# researcherOn[].label
Virtual Assistant for Spacecraft Anomaly Treatment during Long Duration Exploration Missions

# researcherOn[].awardedBy.label
Johnson Space Center - (Houston, Texas, United States)

# researcherOn[].label
Collaborative Research: New Directions in Multidimensional and Multivariate Functional Data Analysis

# researcherOn[].awardedBy.label
National Science Foundation - (Arlington, Virginia, United States)

# streetAddress
Texas A&M University; Department Of Statistics; 3143 TAMU