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Fei Liu

8 papers hereh-index 7224 citations11 works total

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

author position
  • middle author1
  • last author7

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CL7
  • cs.CV1
same name
  • Fei Liu — 39 papers, h 73
  • Fei Liu — 39 papers, h 34
  • Fei Liu — 33 papers, h 16
  • Fei Liu — 16 papers, h 7
  • Fei Liu — 13 papers, h 8
  • Fei Liu — 11 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
20192023
most citedSelf-Attention Network for Skeleton-based Human Action Recognition

8 citations · 15 across the 8 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.CL2021

Modeling Endorsement for Multi-Document Abstractive Summarization

Logan Lebanoff, Bingqing Wang, Zhe Feng +1

A crucial difference between single- and multi-document summarization is how salient content manifests itself in the document(s). While such content may appear at the beginning of…

cs.CL2021

StreamHover: Livestream Transcript Summarization and Annotation

Sangwoo Cho, Franck Dernoncourt, Tim Ganter +7

With the explosive growth of livestream broadcasting, there is an urgent need for new summarization technology that enables us to create a preview of streamed content and tap into…

cs.CL2021★ 4 cited

A Sliding-Window Approach to Automatic Creation of Meeting Minutes

Jia Jin Koay, Alexander Roustai, Xiaojin Dai +1

Meeting minutes record any subject matters discussed, decisions reached and actions taken at meetings. The importance of minuting cannot be overemphasized in a time when a signific…

cs.CL2021★ 1 cited

A New Approach to Overgenerating and Scoring Abstractive Summaries

Kaiqiang Song, Bingqing Wang, Zhe Feng +1

We propose a new approach to generate multiple variants of the target summary with diverse content and varying lengths, then score and select admissible ones according to users' ne…

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