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researcher

K. Zhou

4 papers hereh-index 265 citations7 works total

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

author position
  • middle author2
  • last author2

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

fields
  • math.OC2
  • math.PR1
  • q-fin.MF1
same name
  • K. Zhou — 54 papers, h 36
  • K. Zhou — 49 papers, h 20
  • K. Zhou — 20 papers, h 68
  • K. Zhou — 14 papers, h 6
  • K. Zhou — 8 papers, h 2
  • K. Zhou — 7 papers, h 6

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
20162025
most citedA Study of Distributionally Robust Multistage Stochastic Optimization

12 citations · 16 across the 4 of their papers we have counts for

collaborators

4 papers

q-fin.MF2025

Portfolio selection with exogenous and endogenous transaction costs under a two-factor stochastic volatility model

Dong Yan, Ke Zhou, Zirun Wang +1

In this paper, we investigate a portfolio selection problem with transaction costs under a two-factor stochastic volatility structure, where volatility follows a mean-reverting pro…

math.PR2024

On the upper and lower covariances under multiple probabilities

Xinpeng Li, Jingxu Niu, Ke Zhou

In this paper, we define the upper (resp. lower) covariance under multiple probabilities via a corresponding max-min-max (resp. min-max-min) optimization problem and the related pr…

math.OC2017★ 12 cited

A Study of Distributionally Robust Multistage Stochastic Optimization

Jianqiu Huang, Kezhuo Zhou, Yongpei Guan

In this paper, we focus on a data-driven risk-averse multistage stochastic programming (RMSP) model considering distributional robustness. We optimize the RMSP over the worst-case…

math.OC2016★ 4 cited

Polynomial Time Algorithms and Extended Formulations for Unit Commitment Problems

Yongpei Guan, Kai Pan, Kezhuo Zhou

Recently increasing penetration of renewable energy generation brings challenges for power system operators to perform efficient power generation daily scheduling, due to the inter…

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