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Guohao Shen

16 papers hereh-index 9303 citations31 works total

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

author position
  • sole author1
  • first author6
  • middle author5
  • last author4

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • stat.ML8
  • cs.LG4
  • math.ST3
  • math.OC1
same name
  • Guohao Shen — 1 paper, h 0

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
20212026
most citedDeep Nonparametric Regression on Approximate Manifolds: Non-Asymptotic Error Bounds with Polynomial Prefactors

11 citations · 34 across the 15 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2026

Balancing Multimodal Domain Generalization via Gradient Modulation and Projection

Hongzhao Li, Guohao Shen, Shupan Li +2

Multimodal Domain Generalization (MMDG) leverages the complementary strengths of multiple modalities to enhance model generalization on unseen domains. A central challenge in multi…

cs.LG2025

Conformal Set-based Human-AI Complementarity with Multiple Experts

Helbert Paat, Guohao Shen

Decision support systems are designed to assist human experts in classification tasks by providing conformal prediction sets derived from a pre-trained model. This human-AI collabo…

cs.LG2023

Exploring the Complexity of Deep Neural Networks through Functional Equivalence

Guohao Shen

We investigate the complexity of deep neural networks through the lens of functional equivalence, which posits that different parameterizations can yield the same network function.…

cs.LG2021★ 1 cited

Non-asymptotic Excess Risk Bounds for Classification with Deep Convolutional Neural Networks

Guohao Shen, Yuling Jiao, Yuanyuan Lin +1

In this paper, we consider the problem of binary classification with a class of general deep convolutional neural networks, which includes fully-connected neural networks and fully…

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