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Jing Yuan

22 papers hereh-index 689 citations33 works total

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

author position
  • first author5
  • middle author3
  • last author14

Across the 22 of 22 papers where every author was matched, so the position is known.

fields
  • cs.LG15
  • cs.DS4
  • cs.AI1
  • cs.CL1
  • cs.GT1
same name
  • Jing Yuan — 10 papers, h 8
  • Jing Yuan — 7 papers, h 28
  • Jing Yuan — 7 papers, h 4
  • Jing Yuan — 5 papers, h 10
  • Jing Yuan — 5 papers, h 5
  • Jing Yuan — 4 papers, h 12

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
20192025
most citedBeyond Submodularity: A Unified Framework of Randomized Set Selection with Group Fairness Constraints

2 citations · 8 across the 20 of their papers we have counts for

collaborators
Showing cs.DSShow all

4 papers · 1 filter

cs.DS2024

Assortment Planning with Sponsored Products

Shaojie Tang, Shuzhang Cai, Jing Yuan +1

In the rapidly evolving landscape of retail, assortment planning plays a crucial role in determining the success of a business. With the rise of sponsored products and their increa…

cs.DS2023

Achieving Long-term Fairness in Submodular Maximization through Randomization

Shaojie Tang, Jing Yuan, Twumasi Mensah-Boateng

Submodular function optimization has numerous applications in machine learning and data analysis, including data summarization which aims to identify a concise and diverse set of d…

cs.DS2022

Worst-Case Adaptive Submodular Cover

Jing Yuan, Shaojie Tang

In this paper, we study the adaptive submodular cover problem under the worst-case setting. This problem generalizes many previously studied problems, namely, the pool-based active…

cs.DS2021★ 1 cited

Submodular Optimization Beyond Nonnegativity: Adaptive Seed Selection in Incentivized Social Advertising

Shaojie Tang, Jing Yuan

The idea of social advertising (or social promotion) is to select a group of influential individuals (a.k.a \emph{seeds}) to help promote some products or ideas through an online s…

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