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Young-San Lin

4 papers hereh-index 562 citations22 works total

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

author position
  • middle author4

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

fields
  • cs.DS2
  • cs.DM1
  • cs.GT1

identity via Semantic Scholar / OpenAlex

activity
20192022
most citedLearning-Augmented Algorithms for Online Linear and Semidefinite Programming

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

collaborators

4 papers

cs.DS2022★ 3 cited

Learning-Augmented Algorithms for Online Linear and Semidefinite Programming

Elena Grigorescu, Young-San Lin, Sandeep Silwal +2

Semidefinite programming (SDP) is a unifying framework that generalizes both linear programming and quadratically-constrained quadratic programming, while also yielding efficient s…

cs.DS2021

Fixed-Parameter Algorithms for Longest Heapable Subsequence and Maximum Binary Tree

Karthekeyan Chandrasekaran, Elena Grigorescu, Gabriel Istrate +3

A heapable sequence is a sequence of numbers that can be arranged in a "min-heap data structure". Finding a longest heapable subsequence of a given sequence was proposed by Byers,…

cs.GT2020

Market Equilibrium in Multi-tier Supply Chain Networks

Tao Jiang, Young-San Lin, Thanh Nguyen

We consider a sequential decision model over multi-tier supply chain networks and show that in particular, for series parallel networks, there is a unique equilibrium. We provide a…

cs.DM2019

The Maximum Binary Tree Problem

Karthekeyan Chandrasekaran, Elena Grigorescu, Gabriel Istrate +3

We introduce and investigate the approximability of the maximum binary tree problem (MBT) in directed and undirected graphs. The goal in MBT is to find a maximum-sized binary tree…

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