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Jie Hu

4 papers hereh-index 6238 citations12 works total

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

author position
  • middle author4

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

fields
  • cs.AI1
  • cs.CV1
  • cs.DL1
  • cs.LG1
same name
  • Jie Hu — 18 papers, h 18
  • Jie Hu — 16 papers, h 10
  • Jie Hu — 14 papers, h 7
  • Jie Hu — 11 papers, h 4
  • Jie Hu — 10 papers, h 5
  • Jie Hu — 10 papers, h 8

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 citedData-Driven Design-by-Analogy: State of the Art and Future Directions

84 citations · 200 across the 4 of their papers we have counts for

collaborators

4 papers

cs.DL2021★ 27 cited

Patent Data for Engineering Design: A Critical Review and Future Directions

Shuo Jiang, Serhad Sarica, Binyang Song +2

Patent data have long been used for engineering design research because of its large and expanding size, and widely varying massive amount of design information contained in patent…

cs.AI2021★ 84 cited

Data-Driven Design-by-Analogy: State of the Art and Future Directions

Shuo Jiang, Jie Hu, Kristin L. Wood +1

Design-by-Analogy (DbA) is a design methodology wherein new solutions, opportunities or designs are generated in a target domain based on inspiration drawn from a source domain; it…

cs.LG2021★ 80 cited

Deep Learning for Technical Document Classification

Shuo Jiang, Jie Hu, Christopher L. Magee +1

In large technology companies, the requirements for managing and organizing technical documents created by engineers and managers have increased dramatically in recent years, which…

cs.CV2020★ 9 cited

A Convolutional Neural Network-based Patent Image Retrieval Method for Design Ideation

Shuo Jiang, Jianxi Luo, Guillermo Ruiz Pava +2

The patent database is often used in searches of inspirational stimuli for innovative design opportunities because of its large size, extensive variety and rich design information…

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