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Zhiyuan Liu

Tsinghua University

122 papers hereh-index 8943.1k citations345 works total

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

author position
  • first author1
  • middle author92
  • last author23

Across the 116 of 122 papers where every author was matched, so the position is known.

fields
  • cs.CL81
  • cs.IR14
  • cs.AI8
  • cs.LG7
  • cs.SI6
  • cs.CV2
affiliations
  • Tsinghua University
Homepage
same name
  • Zhiyuan Liu — 83 papers, h 42
  • Zhiyuan Liu — 25 papers
  • Zhiyuan Liu — 24 papers, h 12
  • Zhiyuan Liu — 23 papers, h 15
  • Zhiyuan Liu — 18 papers, h 11
  • Zhiyuan Liu — 18 papers, h 6

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
20142023
most citedGraph Neural Networks: A Review of Methods and Applications

1.4k citations · 5.4k across the 120 of their papers we have counts for

collaborators
Showing 2015Show all

4 papers · 1 filter

cs.CL2015★ 655 cited

A C-LSTM Neural Network for Text Classification

Chunting Zhou, Chonglin Sun, Zhiyuan Liu +1

Neural network models have been demonstrated to be capable of achieving remarkable performance in sentence and document modeling. Convolutional neural network (CNN) and recurrent n…

cs.CL2015★ 7 cited

Category Enhanced Word Embedding

Chunting Zhou, Chonglin Sun, Zhiyuan Liu +1

Distributed word representations have been demonstrated to be effective in capturing semantic and syntactic regularities. Unsupervised representation learning from large unlabeled…

cs.CL2015★ 85 cited

Modeling Relation Paths for Representation Learning of Knowledge Bases

Yankai Lin, Zhiyuan Liu, Huanbo Luan +3

Representation learning of knowledge bases (KBs) aims to embed both entities and relations into a low-dimensional space. Most existing methods only consider direct relations in rep…

cs.LG2015★ 20 cited

Comprehend DeepWalk as Matrix Factorization

Cheng Yang, Zhiyuan Liu

Word2vec, as an efficient tool for learning vector representation of words has shown its effectiveness in many natural language processing tasks. Mikolov et al. issued Skip-Gram an…

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