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Enlu Zhou

35 papers hereh-index 201.6k citations105 works total

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

author position
  • first author1
  • middle author12
  • last author22

Across the 35 of 35 papers where every author was matched, so the position is known.

fields
  • math.OC16
  • cs.LG9
  • eess.SY2
  • q-fin.RM2
  • q-bio.PE1
  • q-fin.CP1
same name
  • Enlu Zhou — 11 papers, h 4
  • Enlu Zhou — 5 papers, h 2
  • Enlu Zhou — 1 paper

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
20132026
most citedTowards Understanding the Importance of Shortcut Connections in Residual Networks

22 citations · 109 across the 34 of their papers we have counts for

collaborators
Showing 2016 · math.OCShow all

4 papers · 2 filters

math.OC2016

Solving the Dual Problems of Dynamic Programs via Regression

Helin Zhu, Fan Ye, Enlu Zhou

In recent years, information relaxation and duality in dynamic programs have been studied extensively, and the resulted primal-dual approach has become a powerful procedure in solv…

math.OC2016

Solving Multi-Objective Optimization via Adaptive Stochastic Search with Domination Measure

Joshua Q Hale, Helin Zhu, Enlu Zhou

For general multi-objective optimization problems, we propose a novel performance metric called domination measure to measure the quality of a solution, which can be intuitively in…

math.OC2016

A Bayesian Risk Approach to Data-driven Stochastic Optimization: Formulations and Asymptotics

Di Wu, Helin Zhu, Enlu Zhou

A large class of stochastic programs involve optimizing an expectation taken with respect to an underlying distribution that is unknown in practice. One popular approach to address…

math.OC2016★ 1 cited

Simulation Optimization of Risk Measures with Adaptive Risk Levels

Helin Zhu, Joshua Hale, Enlu Zhou

Optimizing risk measures such as Value-at-Risk (VaR) and Conditional Value-at-Risk (CVaR) of a general loss distribution is usually difficult, because 1) the loss function might la…

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