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researcher

Dan Liu

University of Science and Technology of China

13 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 author5
  • middle author6
  • last author1

Across the 12 of 13 papers where every author was matched, so the position is known.

fields
  • cs.CL7
  • cs.CV2
  • cs.DC1
  • cs.LG1
  • cs.NI1
  • eess.IV1
affiliations
  • University of Science and Technology of China
ORCID 0000-0002-7374-6685
same name
  • Dan Liu — 19 papers, h 17
  • Dan Liu — 10 papers, h 6
  • Dan Liu — 5 papers, h 2
  • Dan Liu — 3 papers, h 5
  • Dan Liu — 3 papers, h 8
  • Dan Liu — 3 papers, h 1

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 citedAdaptive Resource Allocation for Workflow Containerization on Kubernetes

18 citations · 100 across the 13 of their papers we have counts for

collaborators
Showing 2023Show all

3 papers · 1 filter

cs.CL2023★ 3 cited

Reducing the gap between streaming and non-streaming Transducer-based ASR by adaptive two-stage knowledge distillation

Haitao Tang, Yu Fu, Lei Sun +8

Transducer is one of the mainstream frameworks for streaming speech recognition. There is a performance gap between the streaming and non-streaming transducer models due to limited…

cs.CV2023

The Second-place Solution for CVPR VISION 23 Challenge Track 1 -- Data Effificient Defect Detection

Xian Tao, Zhen Qu, Hengliang Luo +6

The Vision Challenge Track 1 for Data-Effificient Defect Detection requires competitors to instance segment 14 industrial inspection datasets in a data-defificient setting. This re…

cs.DC2023★ 18 cited

Adaptive Resource Allocation for Workflow Containerization on Kubernetes

Chenggang Shan, Chuge Wu, Yuanqing Xia +3

In a cloud-native era, the Kubernetes-based workflow engine enables workflow containerized execution through the inherent abilities of Kubernetes. However, when encountering contin…

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