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Hui-Ling Zhen

17 papers hereh-index 121.1k citations25 works total

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

author position
  • first author2
  • middle author14

Across the 16 of 17 papers where every author was matched, so the position is known.

fields
  • cs.AI8
  • cs.LG5
  • cs.AR1
  • cs.LO1
  • cs.NE1
  • math.OC1
same name
  • Hui-Ling Zhen — 29 papers, h 8
  • Hui-Ling Zhen — 3 papers, h 1
  • Hui-Ling Zhen — 2 papers, h 18
  • Hui-Ling Zhen — 1 paper
  • Hui-Ling Zhen — 1 paper, h 3

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
20182024
most citedPareto Multi-Task Learning

52 citations · 126 across the 16 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.LG2024

GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection

Zhanguang Zhang, Didier Chetelat, Joseph Cotnareanu +7

Boolean satisfiability (SAT) problems are routinely solved by SAT solvers in real-life applications, yet solving time can vary drastically between solvers for the same instance. Th…

cs.AI2024★ 1 cited

IB-Net: Initial Branch Network for Variable Decision in Boolean Satisfiability

Tsz Ho Chan, Wenyi Xiao, Junhua Huang +3

Boolean Satisfiability problems are vital components in Electronic Design Automation, particularly within the Logic Equivalence Checking process. Currently, SAT solvers are employe…

cs.LO2024★ 1 cited

Logic Optimization Meets SAT: A Novel Framework for Circuit-SAT Solving

Zhengyuan Shi, Tiebing Tang, Jiaying Zhu +5

The Circuit Satisfiability (CSAT) problem, a variant of the Boolean Satisfiability (SAT) problem, plays a critical role in integrated circuit design and verification. However, exis…

cs.AI2024

Machine Learning Insides OptVerse AI Solver: Design Principles and Applications

Xijun Li, Fangzhou Zhu, Hui-Ling Zhen +23

In an era of digital ubiquity, efficient resource management and decision-making are paramount across numerous industries. To this end, we present a comprehensive study on the inte…

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