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Shengli Li

3 papers hereh-index 4101 citations6 works total

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

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CY1
  • cs.LG1
  • cs.SI1
same name
  • Shengli Li — 3 papers, h 24
  • Shengli Li — 3 papers, h 7
  • Shengli Li — 1 paper, h 3
  • Shengli Li — 1 paper, h 2
  • Shengli Li — 1 paper, h 5
  • Shengli Li — 1 paper, h 3

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

most citedDeep Adaptive Network: An Efficient Deep Neural Network with Sparse Binary Connections

9 citations · 11 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2016★ 9 cited

Deep Adaptive Network: An Efficient Deep Neural Network with Sparse Binary Connections

Xichuan Zhou, Shengli Li, Kai Qin +5

Deep neural networks are state-of-the-art models for understanding the content of images, video and raw input data. However, implementing a deep neural network in embedded systems…

cs.CY2015

Assessing Google Correlate Queries for Influenza H1N1 Surveillance in Asian Developing Countries

Xichuan Zhou, Qin Li, Han Zhao +6

So far, Google Trend data have been used for influenza surveillance in many European and American countries; however, there are few attempts to apply the low-cost surveillance meth…

cs.SI2015★ 2 cited

Research of the Correlation between the H1N1 Morbidity Data and Google Trends in Egypt

Shengli Li, Xichuan Zhou

The search engine based on influenza monitoring system has been widely applied in many European and American countries. However, there are not any correlative researches reported f…

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