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Yue Wu

15 papers hereh-index 264 citations19 works total

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

author position
  • sole author5
  • first author4
  • middle author6

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • eess.SY6
  • math.OC4
  • cond-mat.mtrl-sci1
  • cs.DB1
  • cs.RO1
  • eess.IV1
same name
  • Yue Wu — 33 papers, h 21
  • Yue Wu — 29 papers, h 15
  • Yue Wu — 27 papers, h 33
  • Yue Wu — 20 papers, h 28
  • Yue Wu — 18 papers, h 13
  • Yue Wu — 17 papers

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
20232026
most citedNearly Optimal Approximation Rates for Deep Super ReLU Networks on Sobolev Spaces

3 citations · 5 across the 13 of their papers we have counts for

collaborators
Showing math.OCShow all

4 papers · 1 filter

math.OC2026

Diagnostic Certificates of Data Quality and Regression Identifiability for Koopman Identification

Yue Wu

Classical persistent excitation criteria usually assess whether an input or regressor signal is sufficiently rich. In Koopman and EDMD with control (EDMDc), however, data quality i…

math.OC2024

A Convergent ADMM Algorithm for Grain Boundary Energy Minimization

Yue Wu, Luchan Zhang, Yang Xiang

In this paper, we study a constrained minimization problem that arise from materials science to determine the dislocation (line defect) structure of grain boundaries. The problems…

math.OC2024

Some Unified Theory for Variance Reduced Prox-Linear Methods

Yue Wu, Benjamin Grimmer

This work considers the nonconvex, nonsmooth problem of minimizing a composite objective of the form f(g(x))+h(x) where the inner mapping g is a smooth finite summation or expe…

math.OC2024

Why does the two-timescale Q-learning converge to different mean field solutions? A unified convergence analysis

Jing An, Jianfeng Lu, Yue Wu +1

We revisit the unified two-timescale Q-learning algorithm as initially introduced by Angiuli et al. \cite{angiuli2022unified}. This algorithm demonstrates efficacy in solving mean…

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