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Zhiwei Lin

5 papers hereh-index 9413 citations50 works total

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

author position
  • first author2
  • middle author3

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.AI4
  • cs.LG1
same name
  • Zhiwei Lin — 27 papers, h 13
  • Zhiwei Lin — 12 papers, h 4
  • Zhiwei Lin — 5 papers, h 8
  • Zhiwei Lin — 5 papers, h 3
  • Zhiwei Lin — 2 papers, h 2
  • Zhiwei Lin — 2 papers, 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
20162019
most citedComposing Knowledge Graph Embeddings via Word Embeddings

8 citations · 11 across the 4 of their papers we have counts for

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2019★ 8 cited

Composing Knowledge Graph Embeddings via Word Embeddings

Lianbo Ma, Peng Sun, Zhiwei Lin +1

Learning knowledge graph embedding from an existing knowledge graph is very important to knowledge graph completion. For a fact (h,r,t) with the head entity h having a relation…

cs.AI2019★ 2 cited

Quantifying consensus of rankings based on q-support patterns

Zhengui Xue, Zhiwei Lin, Hui Wang +1

Rankings, representing preferences over a set of candidates, are widely used in many information systems, e.g., group decision making and information retrieval. It is of great impo…

cs.AI2017

Consensus measure of rankings

Zhiwei Lin, Yi Li, Xiaolian Guo

A ranking is an ordered sequence of items, in which an item with higher ranking score is more preferred than the items with lower ranking scores. In many information systems, ranki…

cs.AI2016★ 1 cited

Concordance and the Smallest Covering Set of Preference Orderings

Zhiwei Lin, Hui Wang, Cees H. Elzinga

Preference orderings are orderings of a set of items according to the preferences (of judges). Such orderings arise in a variety of domains, including group decision making, consum…

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