EDBT 2026 Demo / reviewers in the wild / expert
Zhong-Lin Fu
dblp:335/9217
· DBLP profile ↗
8ranked-venue papers in the field
4as first author
8since 2021 · last 2024
0000-0002-2412-1232ORCID · verified
Domains — venue-derived; a paper can count in several
Other / Interdisciplinary · 8 (4 first)
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Designer role identification based on ecological niche theory
Zhong-Lin Fu, Lei Wang 0189, Wei Guo 0032, Li-Wen Shi |
Adv. Eng. Informatics | 1 |
| 2024 | User requirement modeling and evolutionary analysis based on review data: Supporting the design upgrade of product attributes
Yuanrong Zhang, Wei Guo 0032, Zhixing Chang, Zhong-Lin Fu, Lei Wang 0189 |
Adv. Eng. Informatics | 5 |
| 2024 | Quantitative evaluation of crowd intelligence innovation system health: An ecosystem perspective
Qing Zheng, Wei Guo 0032, Guofu Ding, Haizhu Zhang, Zhong-Lin Fu, Sheng Feng Qin |
Adv. Eng. Informatics | 5 |
| 2023 | A novel evolutionary analysis model for social collaborative design ecosystem based on information entropy
Zhong-Lin Fu, Jingchen Cong, Lei Wang 0189, Li-Wen Shi, Wei Guo 0032 |
Adv. Eng. Informatics | 1 |
| 2023 | Ecological network evolution analysis in collective intelligence design ecosystem
Zhong-Lin Fu, Wei Guo 0032, Lei Wang 0189, Li-Wen Shi, Mao Lin |
Adv. Eng. Informatics | 1 |
| 2023 | Population evolution analysis in collective intelligence design ecosystemabstractThe Collective Intelligent Design Ecosystem is a dynamic ecosystem founded on an online design platform that leverages collective intelligence to support the creation of novel products. The system's primary components are its users and designers. Maintaining the system's sustainability requires expanding the scale of the designer and user populations as it evolves to stabilize. However, the unity of ecological interactions between various populations is fragmented in contemporary studies of population-scale evolution, and the parameterization of evolutionary models is illogical. To overcome this gap, this research provides a population evolution model of collective intelligent design incorporating participants' intra- and interspecific ecological connections. The model's validity is verified by the evolutionary simulation of 110 designers and 5990 users of China's largest collective intelligence design platform, the Zhubajie platform, and illuminating conclusions are in turn drawn from this simulation. First, the designer's influence on the user is greater than the user's impact on the designer. Second, keeping current members engaged is more crucial to the system's viability than luring in new ones. Third, fostering collaboration among designers while retaining user competitiveness can promote system growth. Fourth, decreasing the reliance between particular designers and users might hasten the system's evolution. Zhong-Lin Fu, Lei Wang 0189, Wei Guo 0032, Qing Zheng, Li-Wen Shi |
Adv. Eng. Informatics | 1 |
| 2023 | Dynamic analysis of identifying user roles and evolutionary paths in collective intelligence design community
Man-Lin Li, Zhong-Lin Fu, Wei Guo 0032, Lei Wang 0189, Li-Wen Shi |
Adv. Eng. Informatics | 2 |
| 2023 | Capturing mental models: An analysis of designers actions, ideas, and intentions
Lei Wang 0189, Zhong-Lin Fu, Wei Guo 0032 |
Adv. Eng. Informatics | 3 |