论文

陈柳青, 郑颖婷, 姜昭君, Yuan Xu, 蔡泽斌, Lingyun Sun, Peter RN Childs, Ji Han, Preben Hansen, Haoyu Zuo (2025). I-Card: A Generative AI-Supported Intelligent Design Method Card Deck. In CHI 2025.

陈柳青, 宋亚轩, Jia Guo, Lingyun Sun, Peter RN Childs, Yuan Yin (2025). How Generative AI Supports Human in Conceptual Design. In Design Science.

陈柳青, 蔡泽斌, 郑颖婷, Lingyun Sun, Peter RN Childs, Haoyu Zuo (2025). AskNatureGPT: An LLM-driven Concept Generation Method Based On Bio-Inspired Design Knowledge. In Journal of Engineering Design.

蔡愚, Sanyi Jin, Zihan Chen, Daiwei Yang, Han Tu, Preben Hansen, Lingyun Sun, 陈柳青 (2025). Measuring Human Perception of Airflow for Natural Motion Simulation in Virtual Reality. In VR 2025.

陈云农, 肖树鸿, 宋亚轩, Zejian Li, Lingyun Sun, 陈柳青 (2025). MindScratch: A Visual Programming Support Tool for Classroom Learning Based on Multimodal Generative AI. In International Journal of Human–Computer Interaction.

陈柳青, 肖树鸿, 丁世贤, Shanhai Hu, Lingyun Sun (2025). Integrating Sequence and Image Modeling in Irregular Medical Time Series through Self-Supervised Learning. In AAAI 2025.

Jia Guo, Yuan Yin, Lingyun Sun, 陈柳青 (2024). Empirical Study of Problem-solution Co-evolution in Human-GAI Collaborative Conceptual Design. In DRS 2024.

陈柳青, 宋亚轩, 丁世贤, Lingyun Sun, Peter RN Childs, Haoyu Zuo (2024). TRIZ-GPT: An LLM-Augmented Method For Problem-Solving. In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.

肖树鸿, 陈云农, 李佳智, 陈柳青, Lingyun Sun, Tingting Zhou (2024). Prototype2Code: End-to-End Front-End Code Generation From UI Design Prototypes. In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.

陈柳青, 蔡愚, Ruyue Wang, Preben Hansen, Tingting Zhou, Yankun Zhen, Lingyun Sun (2024). Enhancing VR Shopping With Dynamic Space Re-Arrangements: Towards Contextualized Information Displays and Improved Locomotion. In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.

陈柳青, 夏多为, 姜昭君, Xinyang Tan, Lingyun Sun, Lin Zhang (2024). A Conceptual Design Method Based on Concept–Knowledge Theory and Large Language Models. In Journal of Computing and Information Science in Engineering.

陈柳青, 景千芝, 曾怡欣, Qianyi Wang, Ruocong Liu, 夏多为, Yunzhan Zhou, Lingyun Sun (2024). AutoSpark: Supporting Automobile Appearance Design Ideation with Kansei Engineering and Generative AI. In UIST 2024.

Yuyang Zhang, Shanghua Lou, Yuebin Zhang, Deying Pan, Yitao Fan, Ye Jian, Lei Ren, Bin Hu, Xin Tang, 陈柳青, et al (2024). Confirmation dialog box in the physical world: design strategies on tangible confirmation behavior in human-machine interaction. In Journal of Engineering Design.

陈柳青, 景千芝, 曾怡欣, Tingting Zhou (2024). Iris: a multi-constraint graphic layout generation system. In Frontiers of Information Technology & Electronic Engineering.

陈柳青, 肖树鸿, 陈云农, Lingyun Sun, Peter RN Childs, Ji Han (2024). An artificial intelligence approach for interpreting creative combinational designs. In Journal of Engineering Design.

陈柳青, Haoyu Zuo, 蔡泽斌, Yuan Yin, 张远, Lingyun Sun, Peter RN Childs, Boheng Wang (2024). Toward Controllable Generative Design: A Conceptual Design Generation Approach Leveraging the Function–Behavior–Structure Ontology and Large Language Models. In Journal of Mechanical Design.

陈柳青, 蔡泽斌, 郑颖婷, Lingyun Sun, Peter RN Childs, Haoyu Zuo (2024). An Llm-based Concept Generation Method for Solution-driven Bio-inspired Design. In DRS 2024.

陈柳青, 曾怡欣, 景千芝, Lingyun Sun (2024). A LLM-augmented Morphological Analysis Approach for Conceptual Design. In DRS 2024.

陈柳青, 蔡泽斌, 姜昭君, Jianxi Luo, Lingyun Sun, Peter RN Childs, Haoyu Zuo (2024). AskNatureNet: A divergent thinking tool based on bio-inspired design knowledge. In Advanced Engineering Informatics.

陈柳青, 张远, Ji Han, Lingyun Sun, Peter RN Childs, Boheng Wang (2024). A foundation model enhanced approach for generative design in combinational creativity. In Journal of Engineering Design.

陈柳青, 景千芝, 曾怡欣, Qianyi Wang, Lingyun Sun, Jianxi Luo (2024). DesignFusion: Integrating Generative Models for Conceptual Design Enrichment. In Journal of Mechanical Design.

唐怡琳, 陈柳青, Ziyu Chen, 陈文楷, 蔡愚, Yao Du, Fan Yang, Lingyun Sun (2024). EmoEden: Applying Generative Artificial Intelligence to Emotional Learning for Children with High-Function Autism. In CHI 2024.

陈柳青, 肖树鸿, 陈云农, 宋亚轩, Ruoyu Wu, Lingyun Sun (2024). ChatScratch: An AI-Augmented System Toward Autonomous Visual Programming Learning for Children Aged 6-12. In CHI 2024.

陈柳青, 姜昭君, 夏多为, 蔡泽斌, Lingyun Sun, Peter RN Childs, Haoyu Zuo (2024). BIDTrainer: An LLMs-driven Education Tool for Enhancing the Understanding and Reasoning in Bio-inspired Design. In CHI 2024.

陈柳青, 景千芝, Yunzhan Zhou, Zhaoxing Li, Lei Shi, Lingyun Sun (2024). Element-conditioned GAN for graphic layout generation. In Neurocomputing.

陈柳青, 蔡愚, Ruyue Wang, 丁世贤, 唐怡琳, Preben Hansen (2024). Supporting Text Entry in Virtual Reality with Large Language Models. In VR 2024.

陈柳青, 覃楷桐, 游嘉翔, Ting Zhang, Yumou Zhang, Tingting Zhou, Yankun Zhen (2024). Interactive 3D Product Information Design in Virtual Reality Shopping Application. In Journal of Computing and Information Science in Engineering.

肖树鸿, 陈云农, 宋亚轩, 陈柳青, Lingyun Sun, et al (2024). UI semantic component group detection: Grouping UI elements with similar semantics in mobile graphical user interface. In Displays.

陈柳青, 宋亚轩, Lingyun Sun, Peter RN Childs, Yuan Yin (2024). Development of an exploratory creativity assessment scale. In International Journal of Design Creativity and Innovation.

陈柳青, 陈云农, 肖树鸿, 宋亚轩, Lingyun Sun, Yankun Zhen, Tingting Zhou, Yanfang Chang (2024). EGFE: End-to-end Grouping of Fragmented Elements in UI Designs with Multimodal Learning. In ICSE 2024.

陈柳青, 蔡泽斌, 姜昭君, Lingyun Sun, Peter RN Childs, Haoyu Zuo (2024). A knowledge graph-based bio-inspired design approach for knowledge retrieval and reasoning. In Journal of Engineering Design.

Boheng Wang, Haoyu Zuo, 蔡泽斌, Yuan Yin, Peter Childs, Lingyun Sun, 陈柳青 (2023). A Task-Decomposed AI-Aided Approach for Generative Conceptual Design. In DTM 2023.

覃楷桐, Yankun Zhen, Tianshu Dong, 陈柳青, Ting Zhang, Yumou Zhang, Tingting Zhou (2023). A Design and User Experience Evaluation of 3D Product Information in XR Shopping Application. In CIE 2023.

Cite DOI Paper Link

陈柳青, 蔡泽斌, 姜昭君, Qi Long, Lingyun Sun, Peter Childs, Haoyu Zuo (2023). A KNOWLEDGE-BASED IDEATION APPROACH FOR BIO-INSPIRED DESIGN. In ICED23.

陈柳青, Lingyun Sun, Ji Han (2023). A Comparison Study of Human and Machine Generated Creativity. In JCISE.

陈云农, Yankun Zhen, Chuning Shi, 李佳智, 陈柳青, et al (2023). UI Layers Merger: Merging UI layers via Visual Learning and Boundary Prior. In Frontiers of Information Technology & Electronic Engineering.

PDF Cite Code Project DOI

Boheng Wang, Yunhuai Zhu, 陈柳青, et al (2023). A study of the evaluation metrics for generative images containing combinational creativity. In AI EDAM.

景千芝, Tingting Zhou, 曾怡欣, 陈柳青, et al (2023). Layout Generation for Various Scenarios in Mobile Shopping Applications. In CHI2023.

PDF Project DOI

肖树鸿, Tingting Zhou, 陈云农, 陈柳青, et al (2023). UI Layers Group Detector: Grouping UI Layers via Text Fusion and Box Attention. In CICAI 2022.

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蔡泽斌, Yankun Zhen, Mingrui He, 陈柳青, et al (2023). Browsing Behavioral Intent Prediction on Product Recommendation Pages of E-commerce Platform. In CICAI 2022.

PDF Project DOI

Yuan Yin, 覃楷桐, Huiting Liu, 陈柳青, et al (2022). A Study of the Exploratory Creativity Performance Between Machine and Human Designers. In IDETC-CIE 2022.

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Haoyu Zuo, 景千芝, 陈柳青, et al (2022). WikiLink: An Encyclopedia-Based Semantic Network for Design Creativity. In Journal of Intelligence.

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Peter Childs, Ji Han, 陈柳青, Pingfei Jiang, Pan Wang, Dongmyung Park, Yuan Yin, Elena Dieckmann, Ignacio Vilanova, et al (2022). The Creativity Diamond—A Framework to Aid Creativity. In Journal of Intelligence.

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Pan Wang, Shuo Wang, Danlin Peng, 陈柳青, et al (2020). Neurocognition-inspired design with machine learning. In Design Science.

Pan Wang, Danlin Peng, Ling Li, 陈柳青, Chao Wu, Xiaoyi Wang, Peter RN Childs, Yike Guo (2019). Human-in-the-Loop Design with Machine Learning. In Proceedings of the Design Society:International Conference on Engineering Design.

陈柳青, Pan Wang, Hao Dong, Feng Shi, Ji Han, Yike Guo, Peter RN Childs, et al (2019). An artificial intelligence based data-driven approach for design ideation. In Journal of Visual Communication and Image Representation.

Ji Han, Feng Shi, 陈柳青, Peter RN Childs (2018). A computational tool for creative idea generation based on analogical reasoning and ontology. In Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

Ji Han, Feng Shi, Dongmyung Park, 陈柳青, Peter RN Childs (2018). The conceptual distances between ideas in combinational creativity. In Proceedings of the DESIGN 2018 15th International Design Conference.

陈柳青, Pan Wang, Feng Shi, Ji Han, Peter RN Childs (2018). A computational approach for combinational creativity in design. In Proceedings of the DESIGN 2018 15th International Design Conference.

Ji Han, Feng Shi, 陈柳青, Peter RN Childs (2018). The Combinator – a computer-based tool for creative idea generation based on a simulation approach. In Design Science.

Bruce Garvey, 陈柳青, Feng Shi, Ji Han, Peter RN Childs (2018). New directions in computational, combinational and structural creativity. In Proceedings of the Institution of Mechanical Engineers, Part C:Journal of Mechanical Engineering Science.

Ji Han, Dongmyung Park, Feng Shi, 陈柳青, Min Hua, Peter RN Childs (2017). Three driven approaches to combinational creativity: Problem-, similarity- and inspiration-driven. In Proceedings of the Institution of Mechanical Engineers, Part C:Journal of Mechanical Engineering Science.

Feng Shi, 陈柳青, Ji Han, Peter RN Childs (2017). Implicit Knowledge Discovery in Design Semantic Network by Applying Pythagorean Means on Shortest Path Searching. In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.

陈柳青, Feng Shi, Ji Han, Peter RN Childs (2017). A Network-Based Computational Model for Creative Knowledge Discovery Bridging Human-Computer Interaction and Data Mining. In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.

Feng Shi, 陈柳青, Ji Han, Peter Childs (2017). A Data-Driven Text Mining and Semantic Network Analysis for Design Information Retrieval. In Journal of Mechanical Design.

Ji Han, Dongmyung Park, Feng Shi, 陈柳青, Peter RN Childs (2017). Three driven approaches to combinational creativity. In ICED 2017.

Ji Han, Feng Shi, 陈柳青, Peter RN Childs (2017). The Analogy Retriever – an idea generation tool. In ICED 2017.