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Hongzhe Zhang

4 papers hereh-index 573 citations13 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • stat.ML3
  • cs.LG1
same name
  • Hongzhe Zhang — 3 papers, h 2
  • Hongzhe Zhang — 1 paper, h 0
  • Hongzhe Zhang — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232025
most citedTransfer Learning with Random Coefficient Ridge Regression

2 citations · 2 across the 4 of their papers we have counts for

collaborators

4 papers

stat.ML2025

Transfer learning via Regularized Linear Discriminant Analysis

Hongzhe Zhang, Arnab Auddy, Hongzhe Lee

Linear discriminant analysis is a widely used method for classification. However, the high dimensionality of predictors combined with small sample sizes often results in large clas…

stat.ML2024

Learning covariate importance for matching in policy-relevant observational research

Hongzhe Zhang, Jiasheng Shi, Jing Huang

Matching methods are widely used to reduce confounding effects in observational studies, but conventional approaches often treat all covariates as equally important, which can resu…

cs.LG2023

Proactive Resource Request for Disaster Response: A Deep Learning-based Optimization Model

Hongzhe Zhang, Xiaohang Zhao, Xiao Fang +1

Disaster response is critical to save lives and reduce damages in the aftermath of a disaster. Fundamental to disaster response operations is the management of disaster relief reso…

stat.ML2023★ 2 cited

Transfer Learning with Random Coefficient Ridge Regression

Hongzhe Zhang, Hongzhe Li

Ridge regression with random coefficients provides an important alternative to fixed coefficients regression in high dimensional setting when the effects are expected to be small b…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.