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    StepIdeator: Utilizing Mixed Representations to Support Step-By-Step Design With Generative Artificial Intelligence 

    Source: Journal of Mechanical Design:;2025:;volume( 147 ):;issue: 007:;page 71703-1
    Author(s): Yao, Jiayi; Chen, Pei; Li, Zhuoshu; Cai, Yichen; Wu, Yexinrui; You, Weitao; Sun, Lingyun
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In the product conceptual design, designers utilize multiple design representations to ideate, externalize, and refine concepts iteratively. Mixed representations, defined as the simultaneous presentation of multiple ...
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    A Comparison Study of Human and Machine-Generated Creativity 

    Source: Journal of Computing and Information Science in Engineering:;2023:;volume( 023 ):;issue: 005:;page 51012-1
    Author(s): Chen, Liuqing; Sun, Lingyun; Han, Ji
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Creativity is a fundamental feature of human intelligence. However, achieving creativity is often considered a challenging task, particularly in design. In recent years, using computational machines to support people in ...
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    DesignFusion: Integrating Generative Models for Conceptual Design Enrichment 

    Source: Journal of Mechanical Design:;2024:;volume( 146 ):;issue: 011:;page 111703-1
    Author(s): Chen, Liuqing; Jing, Qianzhi; Tsang, Yixin; Wang, Qianyi; Sun, Lingyun; Luo, Jianxi
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Conceptual design is a pivotal phase of product design and development, encompassing user requirement exploration and informed solution generation. Recent generative models with their powerful content generation capabilities ...
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    Toward Controllable Generative Design: A Conceptual Design Generation Approach Leveraging the Function–Behavior–Structure Ontology and Large Language Models 

    Source: Journal of Mechanical Design:;2024:;volume( 146 ):;issue: 012:;page 121401-1
    Author(s): Chen, Liuqing; Zuo, Haoyu; Cai, Zebin; Yin, Yuan; Zhang, Yuan; Sun, Lingyun; Childs, Peter; Wang, Boheng
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Recent research in the field of design engineering is primarily focusing on using AI technologies such as Large Language Models (LLMs) to assist early-stage design. The engineer or designer can use LLMs to explore, validate, ...
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