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researcher

Qi Zhang

4 papers hereh-index 229 citations6 works total

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

author position
  • last author4

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

fields
  • math.OC4
same name
  • Qi Zhang — 74 papers, h 25
  • Qi Zhang — 41 papers, h 62
  • Qi Zhang — 31 papers, h 13
  • Qi Zhang — 30 papers, h 24
  • Qi Zhang — 27 papers, h 4
  • Qi Zhang — 24 papers, h 13

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 citedDecision-Focused Surrogate Modeling for Mixed-Integer Linear Optimization

1 citations · 2 across the 4 of their papers we have counts for

collaborators

4 papers

math.OC2026

Uncovering expert objectives in production planning via inverse optimization: An industrial case study

Shivi Dixit, Rishabh Gupta, Adam Kelloway +2

Production planning in the manufacturing industry often relies on the use of optimization models, but defining an appropriate objective function can be a challenge. In practice, pl…

math.OC2026

An inverse mixed-integer optimization framework for learning interpretable models of expert decision making

Anurag Holani, Rishabh Gupta, John Wassick +1

Understanding how experts make decisions and being able to transfer that knowledge is important, especially in complex engineering applications. It is highly valuable for training…

math.OC2024★ 1 cited

Decision-Focused Surrogate Modeling for Mixed-Integer Linear Optimization

Shivi Dixit, Rishabh Gupta, Qi Zhang

Mixed-integer optimization is at the core of many online decision-making systems that demand frequent updates of decisions in real time. However, due to their combinatorial nature,…

math.OC2023★ 1 cited

Data-driven decision-focused surrogate modeling

Rishabh Gupta, Qi Zhang

We introduce the concept of decision-focused surrogate modeling for solving computationally challenging nonlinear optimization problems in real-time settings. The proposed data-dri…

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