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G. Fu

6 papers hereh-index 15738 citations55 works total

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

author position
  • last author6

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • stat.ME4
  • cs.CV1
  • cs.LG1
same name
  • G. Fu — 4 papers, h 3
  • G. Fu — 1 paper, h 0
  • G. Fu — 1 paper, h 3
  • G. Fu — 1 paper, h 2
  • G. Fu — 1 paper, h 3
  • G. Fu — 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

collaborators
Showing stat.MEShow all

4 papers · 1 filter

stat.ME2026

A Consistent Feature Screening Approach for Tensor Responses with Applications to Genome-Wide Facial Shape Association

Shaofei Zhao, Zuofeng Shang, Seth M. Weinberg +3

As data collecting technologies advance, data structures are getting more and more complex, from single vectors to multi-dimensional tensors. This article is motivated by a variabl…

stat.ME2026

Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection

Yangsheng Wang, Samruddhi Thakar, Anton Schick +1

This work establishes a theoretical foundation for joint feature selection with multivariate outcomes, positioning the permutation-based variable importance measure (PVIM) of multi…

stat.ME2026

Reconstruction of Enhanced Causal Omnidirectional Network (RECON)

Praveen Niranda, Peter T. McKenney, Guifang Fu

Learning a dynamical system and reconstructing the underlying regulatory network from p discretely observed state trajectories remain challenging problems. Existing approaches of…

stat.ME2026

Longitudinal Random Forests for Sparse and Irregular Response Trajectories

Yangsheng Wang, Xiaotian Dai, Haoda Fu +1

Longitudinal studies often collect data at sparse, irregular, and unequally spaced time points. Such heterogeneity is often driven by subject-specific covariates, yet existing meth…

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