203 citations · 1.3k across the 33 of their papers we have counts for
7 papers · 1 filter
Generative Pre-Trained Transformer for Design Concept Generation: An Exploration
Qihao Zhu, Jianxi Luo
Novel concepts are essential for design innovation and can be generated with the aid of data stimuli and computers. However, current generative design algorithms focus on diagramma…
Natural Language Processing in-and-for Design Research
L Siddharth, Lucienne T. M. Blessing, Jianxi Luo
We review the scholarly contributions that utilise Natural Language Processing (NLP) techniques to support the design process. Using a heuristic approach, we gathered 223 articles…
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…
Technology Fitness Landscape for Design Innovation: A Deep Neural Embedding Approach Based on Patent Data
Shuo Jiang, Jianxi Luo
Technology is essential to innovation and economic prosperity. Understanding technological changes can guide innovators to find new directions of design innovation and thus make br…
Engineering Knowledge Graph from Patent Database
L Siddharth, Lucienne T. M. Blessing, Kristin L. Wood +1
We propose a large, scalable engineering knowledge graph, comprising sets of (entity, relationship, entity) triples that are real-world engineering facts found in the patent databa…
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…
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…