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Jiayu Ding

4 papers hereh-index 7191 citations9 works total

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

author position
  • first author1
  • middle author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.CL1
  • cs.LG1
  • cs.RO1
same name
  • Jiayu Ding — 10 papers, h 3
  • Jiayu Ding — 7 papers, h 5
  • Jiayu Ding — 5 papers, h 4
  • Jiayu Ding — 4 papers, h 1
  • Jiayu Ding — 1 paper
  • Jiayu Ding — 1 paper, h 1

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
20212023
most citedEmpowering Graph Representation Learning with Test-Time Graph Transformation

10 citations · 19 across the 4 of their papers we have counts for

collaborators

4 papers

cs.RO2023★ 5 cited

Breaking Symmetries Leads to Diverse Quadrupedal Gaits

Jiayu Ding, Zhenyu Gan

Symmetry manifests itself in legged locomotion in a variety of ways. No matter where a legged system begins to move periodically, the torso and limbs coordinate with each other's m…

cs.LG2022★ 10 cited

Empowering Graph Representation Learning with Test-Time Graph Transformation

Wei Jin, Tong Zhao, Jiayuan Ding +3

As powerful tools for representation learning on graphs, graph neural networks (GNNs) have facilitated various applications from drug discovery to recommender systems. Nevertheless…

cs.AI2022★ 2 cited

Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion?

Juanhui Li, Harry Shomer, Jiayuan Ding +5

Knowledge graphs (KGs) facilitate a wide variety of applications. Despite great efforts in creation and maintenance, even the largest KGs are far from complete. Hence, KG completio…

cs.CL2021★ 2 cited

Reasoning Chain Based Adversarial Attack for Multi-hop Question Answering

Jiayu Ding, Siyuan Wang, Qin Chen +1

Recent years have witnessed impressive advances in challenging multi-hop QA tasks. However, these QA models may fail when faced with some disturbance in the input text and their in…

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