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researcher

J. Lian

5 papers hereh-index 6154 citations20 works total

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

author position
  • middle author5

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.DS4
  • stat.AP1
same name
  • J. Lian — 3 papers, h 23
  • J. Lian — 2 papers, h 1
  • J. Lian — 1 paper, h 8
  • J. Lian — 1 paper, h 1
  • J. Lian — 1 paper
  • J. Lian — 1 paper, 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

collaborators

5 papers

cs.DS2026

An Improved Pseudopolynomial Time Algorithm for Subset Sum

Lin Chen, Jiayi Lian, Yuchen Mao +1

We investigate pseudo-polynomial time algorithms for Subset Sum. Given a multi-set X of n positive integers and a target t, Subset Sum asks whether some subset of X sums to…

cs.DS2025

Weakly Approximating Knapsack in Subquadratic Time

Lin Chen, Jiayi Lian, Yuchen Mao +1

We consider the classic Knapsack problem. Let t and OPT be the capacity and the optimal value, respectively. If one seeks a solution with total profit at least $\mathr…

stat.AP2025

Bridging the Data Gap in AI Reliability Research and Establishing DR-AIR, a Comprehensive Data Repository for AI Reliability

Simin Zheng, Jared M. Clark, Fatemeh Salboukh +10

Artificial intelligence (AI) technology and systems have been advancing rapidly. However, ensuring the reliability of these systems is crucial for fostering public confidence in th…

cs.DS2025

A Note on Deterministic FPTAS for Partition

Lin Chen, Jiayi Lian, Yuchen Mao +1

We consider the Partition problem and propose a deterministic FPTAS (Fully Polynomial-Time Approximation Scheme) that runs in O(n+1/ε)-time. This is the b…

cs.DS2025

A Nearly Quadratic-Time FPTAS for Knapsack

Lin Chen, Jiayi Lian, Yuchen Mao +1

We investigate the classic Knapsack problem and propose a fully polynomial-time approximation scheme (FPTAS) that runs in O(n+(1/ε)2) time. This improves…

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