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Yuyu Zhang

14 papers hereh-index 183.9k citations29 works total

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

author position
  • first author9
  • middle author5

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • cs.LG7
  • cs.AI4
  • cs.CL2
  • cs.IR1
same name
  • Yuyu Zhang — 11 papers, h 4
  • Yuyu Zhang — 1 paper, h 2
  • Yuyu Zhang — 1 paper, h 2
  • Yuyu Zhang — 1 paper, h 2
  • Yuyu Zhang — 1 paper, h 2

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
20132021
most citedLearning Combinatorial Optimization Algorithms over Graphs

1.1k citations · 1.5k across the 14 of their papers we have counts for

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2021★ 12 cited

GNN is a Counter? Revisiting GNN for Question Answering

Kuan Wang, Yuyu Zhang, Diyi Yang +2

Question Answering (QA) has been a long-standing research topic in AI and NLP fields, and a wealth of studies have been conducted to attempt to equip QA systems with human-level re…

cs.AI2021★ 3 cited

Speeding up Computational Morphogenesis with Online Neural Synthetic Gradients

Yuyu Zhang, Heng Chi, Binghong Chen +4

A wide range of modern science and engineering applications are formulated as optimization problems with a system of partial differential equations (PDEs) as constraints. These PDE…

cs.AI2020★ 2 cited

Question Directed Graph Attention Network for Numerical Reasoning over Text

Kunlong Chen, Weidi Xu, Xingyi Cheng +6

Numerical reasoning over texts, such as addition, subtraction, sorting and counting, is a challenging machine reading comprehension task, since it requires both natural language un…

cs.AI2020★ 37 cited

Efficient Probabilistic Logic Reasoning with Graph Neural Networks

Yuyu Zhang, Xinshi Chen, Yuan Yang +4

Markov Logic Networks (MLNs), which elegantly combine logic rules and probabilistic graphical models, can be used to address many knowledge graph problems. However, inference in ML…

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