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researcher

Dan Liu

University of Science and Technology of China

4 papers hereh-index 449k citations683 works total

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

author position
  • first author3
  • middle author1

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

fields
  • cs.CL3
  • cs.CV1
affiliations
  • University of Science and Technology of China
ORCID 0000-0002-7374-6685
same name
  • Dan Liu — 9 papers, h 17
  • Dan Liu — 3 papers, h 5
  • Dan Liu — 2 papers
  • Dan Liu — 2 papers, h 11
  • Dan Liu — 1 paper, h 6
  • Dan Liu — 1 paper

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
20172019
most citedA Novel Way of Identifying Cyber Predators

17 citations · 21 across the 2 of their papers we have counts for

collaborators

4 papers

cs.CV2019

Scale Invariant Fully Convolutional Network: Detecting Hands Efficiently

Dan Liu, Dawei Du, Libo Zhang +4

Existing hand detection methods usually follow the pipeline of multiple stages with high computation cost, i.e., feature extraction, region proposal, bounding box regression, and a…

cs.CL2019★ 4 cited

Learning Efficient Lexically-Constrained Neural Machine Translation with External Memory

Ya Li, Xinyu Liu, Dan Liu +2

Recent years has witnessed dramatic progress of neural machine translation (NMT), however, the method of manually guiding the translation procedure remains to be better explored. P…

cs.CL2018

The USTC-NEL Speech Translation system at IWSLT 2018

Dan Liu, Junhua Liu, Wu Guo +5

This paper describes the USTC-NEL system to the speech translation task of the IWSLT Evaluation 2018. The system is a conventional pipeline system which contains 3 modules: speech…

cs.CL2017★ 17 cited

A Novel Way of Identifying Cyber Predators

Dan Liu, Ching Yee Suen, Olga Ormandjieva

Recurrent Neural Networks with Long Short-Term Memory cell (LSTM-RNN) have impressive ability in sequence data processing, particularly for language model building and text classif…

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