Mingyuan Zhong
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Mingyuan Zhong has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Chang Liu
Tongji University
1 shared publication - Chao Wang
Department of Information and Communication Engineering, Tongji University, Shanghai, China
1 shared publication - Huiting Gan
College of Design and Innovation, Tongji University, Shanghai 200092, China
1 shared publication - Maoen He
School of Design, The Hong Kong Polytechnic University
1 shared publication - Peiqing Cao
College of Design and Innovation, Tongji University, Shanghai 200092, China
1 shared publication - Xinwei Wang
Department of Information and Communication Engineering, Tongji University, Shanghai 201804, China
1 shared publication
Latest Publications
- Open Access
Research on Co-Creation of Community Public Cultural Spaces Through Generative Dynamic Workflows
Recent advancements in artificial intelligence, particularly in generative technologies, have significantly redefined the design paradigm for community public cultural spaces, shifting from a traditionally designer-centric model to one that emphasizes multi-stakeholder co-creation. This paper focuses on the design of public cultural spaces at the community scale, proposing a generative dynamic workflow-based co-creation framework that integrates large language models (LLMs) with text-to-image technologies. The framework includes a natural dialogue-based needs-capturing module, a needs analysis module, and a needs expression text-to-image module. This study validates the proposed framework by developing a system prototype for renovating a public space in a student dormitory at Tongji University’s Jiading campus. The results show that the prototype demonstrates good usability and a relatively satisfactory capability in capturing user requirements. These findings indicate that this research helps address key limitations in traditional community design practices, such as limited resident participation, inefficient integration of diverse needs, and slow iteration processes.
Open AccessResearch on Co-Creation of Community Public Cultural Spaces Through Generative Dynamic Workflows
Recent advancements in artificial intelligence, particularly in generative technologies, have significantly redefined the design paradigm for community public cultural spaces, shifting from a traditionally designer-centric model to one that emphasizes multi-stakeholder co-creation. This paper focuses on the design of public cultural spaces at the community scale, proposing a generative dynamic workflow-based co-creation framework that integrates large language models (LLMs) with text-to-image technologies. The framework includes a natural dialogue-based needs-capturing module, a needs analysis module, and a needs expression text-to-image module. This study validates the proposed framework by developing a system prototype for renovating a public space in a student dormitory at Tongji University’s Jiading campus. The results show that the prototype demonstrates good usability and a relatively satisfactory capability in capturing user requirements. These findings indicate that this research helps address key limitations in traditional community design practices, such as limited resident participation, inefficient integration of diverse needs, and slow iteration processes.