84 citations · 286 across the 10 of their papers we have counts for
10 papers
Design Structure Matrix Modularization with Large Language Models
Shuo Jiang, Jianxi Luo
Design Structure Matrix (DSM) modularization, the task of partitioning system elements into cohesive modules, is a fundamental combinatorial challenge in engineering design. Tradit…
Intelligent Design 4.0: Paradigm Evolution Toward the Agentic AI Era
Shuo Jiang, Min Xie, Frank Youhua Chen +2
Research and practice in Intelligent Design (ID) have significantly enhanced engineering innovation, efficiency, quality, and productivity over recent decades, fundamentally reshap…
Large Language Models for Combinatorial Optimization of Design Structure Matrix
Shuo Jiang, Min Xie, Jianxi Luo
In complex engineering systems, the dependencies among components or development activities are often modeled and analyzed using Design Structure Matrix (DSM). Reorganizing element…
Large Language Models for Combinatorial Optimization of Design Structure Matrix
Shuo Jiang, Min Xie, Jianxi Luo
Combinatorial optimization (CO) is essential for improving efficiency and performance in engineering applications. As complexity increases with larger problem sizes and more intric…
AutoTRIZ: Automating Engineering Innovation with TRIZ and Large Language Models
Shuo Jiang, Weifeng Li, Yuping Qian +2
Various ideation methods, such as morphological analysis and design-by-analogy, have been developed to aid creative problem-solving and innovation. Among them, the Theory of Invent…
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…
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…
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…