◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Young‐San Lin

3 papers here

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

author position
  • middle author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.DS2
  • cs.GT1

identity via Semantic Scholar / OpenAlex

most citedA Simple Learning-Augmented Algorithm for Online Packing with Concave Objectives

1 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

cs.GT2025

A few good choices

Thanh Nguyen, Haoyu Song, Young-San Lin

A Condorcet winning set addresses the Condorcet paradox by selecting a few candidates--rather than a single winner--such that no unselected alternative is preferred to all of them…

cs.DS2024★ 1 cited

Learning-Augmented Algorithms for Online Concave Packing and Convex Covering Problems

Elena Grigorescu, Young-San Lin, Maoyuan Song

Learning-augmented algorithms have been extensively studied across the computer science community in the recent years, driven by advances in machine learning predictors, which can…

cs.DS2024★ 1 cited

A Simple Learning-Augmented Algorithm for Online Packing with Concave Objectives

Elena Grigorescu, Young-San Lin, Maoyuan Song

Learning-augmented algorithms has been extensively studied recently in the computer-science community, due to the potential of using machine learning predictions in order to improv…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.