结构工程、生成式模型与大语言模型智能体。 Google Scholar ↗
2026
LAMDA: Large Language Model as Decision Analyst
研究简介 & 引用格式
利用大语言模型将自然语言描述转化为影响图,结合图结构生成、概率获取与迭代校验,为决策分析提供支持。
HONG Y, QIN S Z, WANG C. LAMDA: Large Language Model as Decision Analyst[J/OL]. Decision Analysis, 2026, Articles in Advance. https://doi.org/10.1287/deca.2025.0438.
BibTeX
@article{Qin20260807LAMDA,
title = {LAMDA: Large Language Model as Decision Analyst},
author = {Hong, Yifan and Qin, Sizhong and Wang, Chen},
year = {2026},
doi = {10.1287/deca.2025.0438},
journal = {Decision Analysis}
}StructureClaw: Traceable LLM Agents and an Executable Benchmark for Structural Engineering Workflows
研究简介 & 引用格式
通过可追踪的大语言模型智能体连接结构建模、验证、分析、校核与报告,并使用可执行基准开展评估。
Qin, S.Z., Gu, Y., Jiang, Y., Cai, A., Zhou, C.J., Shuai, S.X., Wang, J.C., Shen, T.H., Li, Y.Q., Li, X.H., Zeng, L., Chen, Y.S., Gao, D.C., Xu, G.R., Liao, W.J., Lu, X.Z. 2026. StructureClaw: Traceable LLM Agents and an Executable Benchmark for Structural Engineering Workflows. arXiv preprint arXiv:2607.14896. https://arxiv.org/abs/2607.14896
BibTeX
@misc{20260716StructureClaw,
title = {StructureClaw: Traceable LLM Agents and an Executable Benchmark for Structural Engineering Workflows},
author = {Qin, Sizhong and Gu, Yi and Jiang, Yao and Cai, Ao and Zhou, Changjian and Shuai, Shaoxuan and Wang, Jiachang and Shen, Tianhao and Li, Yueqiang and Li, Xinhao and Zeng, Li and Chen, Yueshi and Gao, Dachen and Xu, Genrong and Liao, Wenjie and Lu, Xinzheng},
year = {2026},
eprint = {2607.14896},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2607.14896}
}AutoCut: End-to-end advertisement video editing based on multimodal discretization and controllable generation
研究简介 & 引用格式
一种基于多模态离散化和可控生成的端到端广告视频编辑框架,在统一流程中实现视频筛选与排序、脚本生成和背景音乐选择。
ZHOU M, QIN S Z, LI Y Z, et al. AutoCut: End-to-end advertisement video editing based on multimodal discretization and controllable generation[C/OL]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2026: 37777–37787. https://arxiv.org/abs/2603.28366.
BibTeX
@inproceedings{20260330AutoCut,
title = {AutoCut: End-to-end advertisement video editing based on multimodal discretization and controllable generation},
author = {Zhou, Milton and Qin, Sizhong and Li, Yongzhi and Chen, Quan and Jiang, Peng},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2026},
pages = {37777--37787}
}Tokenization Allows Multimodal Large Language Models to Understand, Generate and Edit Architectural Floor Plans
研究简介 & 引用格式
一种多模态大语言模型,通过离散房间实例token统一建筑平面图的理解、生成和编辑,实现可控且可解释的操作。
QIN S Z, WEBER R E, LU X Z. Tokenization Allows Multimodal Large Language Models to Understand, Generate and Edit Architectural Floor Plans[C/OL]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2026: 10430–10440. https://arxiv.org/abs/2603.11640.
BibTeX
@inproceedings{20260316HouseMind,
title = {Tokenization Allows Multimodal Large Language Models to Understand, Generate and Edit Architectural Floor Plans},
author = {Qin, Sizhong and Weber, Ramon Elias and Lu, Xinzheng},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2026},
pages = {10430--10440}
}Intelligent design of dimensions of reinforced concrete frame structure components using diffusion models
研究简介 & 引用格式
提出了一种基于扩散模型的钢筋混凝土框架结构构件尺寸智能设计方法,通过多通道掩码与梯度加权修正,实现高精度且符合工程规范的构件尺寸预测。
GU Y, QIN S Z, LIAO W J, et al. Intelligent design of dimensions of reinforced concrete frame structure components using diffusion models[J/OL]. Computers in Industry, 2026, 175: 104428. DOI:10.1016/j.compind.2025.104428.
BibTeX
@article{Qin20260201CII,
title = {Intelligent design of dimensions of reinforced concrete frame structure components using diffusion models},
author = {Gu, Yi and Qin, Sizhong and Liao, Wenjie and Lu, Xinzheng},
year = {2026},
doi = {10.1016/j.compind.2025.104428},
journal = {Computers in Industry},
volume = {175},
pages = {104428}
}2025
Leveraging data-driven artificial intelligence in optimization design for building structures: A review
研究简介 & 引用格式
综述了建筑结构智能优化设计的相关研究,数据驱动AI可助力初始方案生成、优化问题简化、优化问题求解和设计结果评估。
QIN S Z, FEI Y F, LIAO W J, et al. Leveraging data-driven artificial intelligence in optimization design for building structures: A review[J/OL]. Engineering Structures, 2025, 341: 120810. DOI:10.1016/j.engstruct.2025.120810.
BibTeX
@article{Qin20250624ES,
title = {Leveraging data-driven artificial intelligence in optimization design for building structures: A review},
author = {Qin, Sizhong and Fei, Yifan and Liao, Wenjie and Lu, Xinzheng},
year = {2025},
doi = {10.1016/j.engstruct.2025.120810},
journal = {Engineering Structures},
volume = {341},
pages = {120810}
}Comparative analysis of intelligent retrofit design methods of RC frame structures using buckling-restrained braces
研究简介 & 引用格式
研究对钢筋混凝土框架结构BRB加固方案设计的多种算法组合设计性能与效率进行了对比,发现GAN、扩散模型与遗传算法在特征提取与解空间搜索方面表现优异。其组合可快速生成符合规范的设计方案,为智能设计在工程实践中的应用提供了有益参考。
QIN S Z, LIAO W J, TAN Z, et al. Comparative analysis of intelligent retrofit design methods of RC frame structures using buckling-restrained braces[J/OL]. Bulletin of Earthquake Engineering, 2025, 23(8): 3353–3374. DOI:10.1007/s10518-025-02164-3.
BibTeX
@article{Qin20250415BEE,
title = {Comparative analysis of intelligent retrofit design methods of RC frame structures using buckling-restrained braces},
author = {Qin, Sizhong and Liao, Wenjie and Tan, Zhuang and Hu, Kongguo and Gao, Yuan and Lu, Xinzheng},
year = {2025},
doi = {10.1007/s10518-025-02164-3},
journal = {Bulletin of Earthquake Engineering},
volume = {23},
number = {8},
pages = {3353-3374}
}Graph neural network-assisted evolutionary algorithm for rapid optimization design of shear-wall structures
研究简介 & 引用格式
提出了一种新颖的 GNN 辅助进化算法,该算法将强大的 GNN 代理模型与进化算法相结合,以快速优化钢筋混凝土剪力墙结构,在显著降低计算成本的同时,实现高质量的设计结果。
FEI Y F, QIN S Z, LIAO W J, et al. Graph neural network-assisted evolutionary algorithm for rapid optimization design of shear-wall structures[J/OL]. Advanced Engineering Informatics, 2025, 65: 103129. DOI:10.1016/j.aei.2025.103129.
BibTeX
@article{Qin20250115ADVEI,
title = {Graph neural network-assisted evolutionary algorithm for rapid optimization design of shear-wall structures},
author = {Fei, Yifan and Qin, Sizhong and Liao, Wenjie and Guan, Hong and Lu, Xinzheng},
year = {2025},
doi = {10.1016/j.aei.2025.103129},
journal = {Advanced Engineering Informatics},
volume = {65},
pages = {103129}
}Intelligent design for component size generation in reinforced concrete frame structures using heterogeneous graph neural networks
研究简介 & 引用格式
提出了一种通用的钢筋混凝土结构异构图表征方法,用于捕捉构件内在属性和拓扑关系。同时利用 HetGNN 实现了一套高效预测方法,可在一秒内确定钢筋混凝土框架结构的截面尺寸。
QIN S Z, LIAO W J, HUANG Y L, et al. Intelligent design for component size generation in reinforced concrete frame structures using heterogeneous graph neural networks[J/OL]. Automation in Construction, 2025, 171: 105967. DOI:10.1016/j.autcon.2025.105967.
BibTeX
@article{Qin20250113AIC,
title = {Intelligent design for component size generation in reinforced concrete frame structures using heterogeneous graph neural networks},
author = {Qin, Sizhong and Liao, Wenjie and Huang, Yuli and Zhang, Shulu and Gu, Yi and Han, Jin and Lu, Xinzheng},
year = {2025},
doi = {10.1016/j.autcon.2025.105967},
journal = {Automation in Construction},
volume = {171},
pages = {105967}
}Intelligent generation and optimization method for the retrofit design of RC frame structures using buckling-restrained braces
研究简介 & 引用格式
提出了一种基于生成式AI和优化算法的钢筋混凝土框架结构BRB加固方案两阶段智能设计方法,实现了建筑需求和结构要求的设计解耦。
TAN Z, QIN S Z, HU K G, et al. Intelligent generation and optimization method for the retrofit design of RC frame structures using buckling-restrained braces[J/OL]. Earthquake Engineering & Structural Dynamics, 2025, 54(2): 530–547. DOI:10.1002/eqe.4268.
BibTeX
@article{Qin20241114EESD,
title = {Intelligent generation and optimization method for the retrofit design of RC frame structures using buckling‐restrained braces},
author = {Tan, Zhuang and Qin, Sizhong and Hu, Kongguo and Liao, Wenjie and Gao, Yuan and Lu, Xinzheng},
year = {2025},
doi = {10.1002/eqe.4268},
journal = {Earthquake Engineering \& Structural Dynamics},
volume = {54},
number = {2},
pages = {530-547}
}ChatHouseDiffusion:提示词引导的建筑平面图生成与编辑方法
研究简介 & 引用格式
开发了一种新方法,利用大语言模型、Graphormer和扩散模型来交互式生成和编辑房间平面布局图。
中文期刊正式版
覃思中, 陈思齐, 何承昱, 陈巧云, 杨森, 廖文杰, 顾燚, 陆新征. ChatHouseDiffusion:提示词引导的建筑平面图生成与编辑方法[J]. 哈尔滨工业大学学报, 2025, 57(12): 245–253. DOI:10.11918/202505066.
BibTeX
@article{Qin2025ChatHouseDiffusion,
title = {{ChatHouseDiffusion}: Prompt-guided generation and editing of floor plans},
author = {Qin, Sizhong and Chen, Siqi and He, Chengyu and Chen, Qiaoyun and Yang, Sen and Liao, Wenjie and Gu, Yi and Lu, Xinzheng},
year = {2025},
doi = {10.11918/202505066},
journal = {Journal of Harbin Institute of Technology},
volume = {57},
number = {12},
pages = {245--253},
language = {Chinese}
}英文 arXiv 预印本
Qin, S.Z., He, C.Y., Chen, Q.Y., Yang, S., Liao, W.J., Gu, Y., Lu, X.Z., 2024. ChatHouseDiffusion: Prompt-Guided Generation and Editing of Floor Plans. arXiv:2410.11908. DOI:10.48550/arXiv.2410.11908.
BibTeX
@misc{Qin2024ChatHouseDiffusion,
title = {{ChatHouseDiffusion}: Prompt-Guided Generation and Editing of Floor Plans},
author = {Qin, Sizhong and He, Chengyu and Chen, Qiaoyun and Yang, Sen and Liao, Wenjie and Gu, Yi and Lu, Xinzheng},
year = {2024},
eprint = {2410.11908},
archivePrefix = {arXiv},
primaryClass = {cs.HC},
doi = {10.48550/arXiv.2410.11908},
url = {https://arxiv.org/abs/2410.11908}
}2024
Intelligent design and optimization system for shear wall structures based on large language models and generative artificial intelligence
研究简介 & 引用格式
提出了一种基于大语言模型(LLMs)和生成式人工智能(AI)的剪力墙结构智能设计和优化系统,比传统方法提速约30倍,显著加快设计速度,同时确保设计方案的安全性和经济性。
QIN S Z, GUAN H, LIAO W J, et al. Intelligent design and optimization system for shear wall structures based on large language models and generative artificial intelligence[J/OL]. Journal of Building Engineering, 2024, 95: 109996. DOI:10.1016/j.jobe.2024.109996.
BibTeX
@article{Qin20240701JOBE,
title = {Intelligent design and optimization system for shear wall structures based on large language models and generative artificial intelligence},
author = {Qin, Sizhong and Guan, Hong and Liao, Wenjie and Gu, Yi and Zheng, Zhe and Xue, Hongjing and Lu, Xinzheng},
year = {2024},
doi = {10.1016/j.jobe.2024.109996},
journal = {Journal of Building Engineering},
volume = {95},
pages = {109996}
}AIstructure-Copilot: Assistant for generative AI-driven intelligent design of building structures
研究简介 & 引用格式
构建本地-云协作模式,引入全面的数据传输格式,并开发生成式AI算法的云接口
QIN S Z, LIAO W J, HUANG S N, et al. AIstructure-Copilot: Assistant for generative AI-driven intelligent design of building structures[J/OL]. Smart Construction, 2024, 1(1): 0001. DOI:10.55092/sc20240001.
BibTeX
@article{Qin20240304SC,
title = {AIstructure-Copilot: Assistant for Generative AI-Driven Intelligent Design of Building Structures},
author = {Qin, Sizhong and Liao, Wenjie and Huang, Shengnan and Hu, Kongguo and Tan, Zhuang and Gao, Yuan and Lu, Xinzheng},
year = {2024},
doi = {10.55092/sc20240001},
journal = {Smart Construction}
}基于BIM和深度学习点云分割的施工检查方法模拟研究
研究简介 & 引用格式
(中文)引入深度学习点云语义分割技术,对框架梁柱节点实现构件的对象化比对,提高了点云与BIM比对的自动化和数字化程度。
张帆, 孙楚津, 覃思中, 等. 基于BIM和深度学习点云分割的施工检查方法模拟研究[J/OL]. 工程力学, 2024, 41(2): 194–201. DOI:10.6052/j.issn.1000-4750.2022.04.0281.
2023
An efficient assessment method for intelligent design results of shear wall structure based on mechanical performance, material consumption, and empirical rules
研究简介 & 引用格式
提出一种剪力墙结构布置的高效综合评估方法,有效结合了力学分析与经验规则的公式化编码
QIN S Z, LIAO W J, LIN Y Q, LU X Z. An efficient assessment method for intelligent design results of shear wall structure based on mechanical performance, material consumption, and empirical rules[J/OL]. Engineering Mechanics, 2023, 40(12): 148–159. DOI:10.6052/j.issn.1000-4750.2023.05.0360.
大语言模型在建筑工程中的应用测试与讨论
研究简介 & 引用格式
(中文)提出了一套大语言模型在建筑工程中的应用方案,采用提示词工程和本地知识库相结合的方式来提升模型性能,通过实验分析验证其效果,并探究了本方案在行业各个领域中应用的可行性,针对部分任务提供了详细的应用案例
覃思中, 郑哲, 顾燚, 等. 大语言模型在建筑工程中的应用测试与讨论[J/OL]. 工业建筑, 2023, 53(9): 162–169. DOI:10.13204/j.gyjzG23081006.
土耳其7.8级地震对我国防震减灾工作的启示
研究简介 & 引用格式
(中文)土耳其7.8级地震对我国防震减灾工作的启示
陆新征, 覃思中, 许镇. 土耳其7.8级地震对我国防震减灾工作的启示[J/OL]. 城市与减灾, 2023(2): 1–8. DOI:10.3969/j.issn.1671-0495.2023.02.002.
2022
基于“云+端”的预制节段梁模板定位调整量计算系统
研究简介 & 引用格式
(中文)本研究提出了一套基于"云+端"的节段梁模板调整量便捷计算系统,在工程现场仅需一部智能手机即可快速测量并计算待测节段梁模板的调整量。
刘昱, 马智亮, 刘世龙, 等. 基于“云+端”的预制节段梁模板定位调整量计算系统[C]//第八届全国BIM学术会议论文集. 北京: 中国建筑工业出版社, 2022: 109–113.
A Cloud-Based System for Supporting Quick Location of Precast Concrete Formwork Using Computer Vision and BIM
研究简介 & 引用格式
提出了一种基于智能手机和最新技术(包括计算机视觉、建筑信息模型(BIM)和云计算)的模板快速定位系统。
LIU Y, MA Z L, QIN S Z, et al. A Cloud-Based System for Supporting Quick Location of Precast Concrete Formwork Using Computer Vision and BIM[C/OL]//Proceedings of the Creative Construction e-Conference 2022. 2022: 97–104. DOI:10.3311/CCC2022-014.
BibTeX
@inproceedings{Qin20220709CCC,
title = {A Cloud-Based System for Supporting Quick Location of Precast Concrete Formwork Using Computer Vision and BIM},
author = {Liu, Yu and Ma, Zhiliang and Qin, Sizhong and Liu, Shilong},
year = {2022},
doi = {10.3311/ccc2022-014},
pages = {97-104},
booktitle = {Proceedings of the Creative Construction e-Conference 2022}
}没有符合筛选条件的成果。














