◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Yao Ma

28 papers hereh-index 318.4k citations54 works total

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

author position
  • first author7
  • middle author21

Across the 28 of 28 papers where every author was matched, so the position is known.

fields
  • cs.LG18
  • cs.IR5
  • cs.SI3
  • cs.AI1
  • cs.CL1
same name
  • Yao Ma — 29 papers, h 11
  • Yao Ma — 14 papers, h 5
  • Yao Ma — 12 papers, h 4
  • Yao Ma — 9 papers, h 3
  • Yao Ma — 9 papers, h 4
  • Yao Ma — 7 papers, h 5

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
20172023
most citedR-Transformer: Recurrent Neural Network Enhanced Transformer

91 citations · 572 across the 26 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.LG2022★ 1 cited

Learning Representations for Hyper-Relational Knowledge Graphs

Harry Shomer, Wei Jin, Juanhui Li +2

Knowledge graphs (KGs) have gained prominence for their ability to learn representations for uni-relational facts. Recently, research has focused on modeling hyper-relational facts…

cs.LG2022★ 29 cited

Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective

Wei Jin, Xiaorui Liu, Yao Ma +2

Recent years have witnessed remarkable success achieved by graph neural networks (GNNs) in many real-world applications such as recommendation and drug discovery. Despite the succe…

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.IR2022

Graph Enhanced BERT for Query Understanding

Juanhui Li, Yao Ma, Wei Zeng +4

Query understanding plays a key role in exploring users' search intents and facilitating users to locate their most desired information. However, it is inherently challenging since…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.