Sizhong Qin

Sizhong Qin

PhD Student, Civil Engineering

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A list of all the posts and pages found on the site.

Pages

Posts

Publications

A cloud-based system for supporting quick location of precast concrete formwork using computer vision and BIM

Published in: Creative Construction e-Conference, 2022

This paper proposes a quick location system for formwork adjustment based on a smartphone and the latest technologies including computer vision, BIM, and cloud computing.

Recommended Citation: Liu, Y., Ma, Z.L., Qin, S.Z., Liu, S.L., 2022. A cloud-based system for supporting quick location of precast concrete formwork using computer vision and BIM, in: Creative Construction E-Conference 2022. pp. 97–104. https://doi.org/10.3311/CCC2022-014
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A calculation system for the adjustment of prefabricated segmental beam templates based on the “cloud + end” model

Published in: the 8th National Conference on Building Information Modeling, 2022

(in Chinese) This study proposes a convenient calculation system for prefabricated segmental beam template adjustment based on the “cloud+end” model

Recommended Citation: Liu, Y., Ma, Z.L., Liu, S.L., Qin, S.Z., Zhou, F.N., Shi, Q.B. (2022). A calculation system for the adjustment of prefabricated segmental beam templates based on the "cloud + end" model. the 8th National Conference on Building Information Modeling, 109-113. China Architecture&Building Press. Shenzhen, China. DOI:10.26914/c.cnkihy.2022.045075.
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Exploring and discussion on the application of large language models in construction engineering

Published in: Industrial Construction, 2023

(in Chinese) This paper proposes an application framework for large language models in construction engineering, utilizing prompt engineering and a local knowledge base to enhance model performance.

Recommended Citation: Qin, S.Z., Zheng, Z., Gu, Y., Lu, X.Z., 2023. Exploring and discussion on the application of large language models in construction engineering. Industrial Construction 53, 162–169. https://doi.org/10.13204/j.gyjzg23081006
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An efficient assessment method for intelligent design results of shear wall structure based on mechanical performance, material consumption, and empirical rules

Published in: Engineering Mechanics, 2023

This study introduces an assessment method used in the intelligent design and optimization of shear wall structures that effectively combines mechanical analysis and formulaic encoding of empirical rules.

Recommended Citation: Qin, S.Z., Liao, W.J., Lin, Y.Q., Lu, X.Z., 2023. An efficient assessment method for intelligent design results of shear wall structure based on mechanical performance, material consumption, and empirical rules. Engineering Mechanics 40, 148–159. https://doi.org/10.6052/j.issn.1000-4750.2023.05.0360
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Synthetic research on construction inspection based on bim and point cloud segmentation using deep learning

Published in: Engineering Mechanics, 2024

(in Chinese) The point cloud semantic segmentation using deep learning is introduced to realize the object-oriented comparison of components for the frame nodes, which increases the automation and digitization level of point-cloud-vs-BIM comparison.

Recommended Citation: Zhang F., Sun C.J. , Qin S.Z., Zhao X.Y., 2024. Synthetic research on construction inspection based on bim and point cloud segmentation using deep learning. Engineering Mechanics 41, 194–201. https://doi.org/10.6052/j.issn.1000-4750.2022.04.0281
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AIstructure-Copilot: Assistant for generative AI-driven intelligent design of building structures

Published in: Smart Construction, 2024

Constructs a local–cloud collaborative mode, introduces a comprehensive data transmission format, and develops a cloud interface for generative AI algorithms.

Recommended Citation: Qin, S.Z., Liao, W.J., Huang, S.N., Hu, K.G., Tan, Z., Gao, Y., Lu, X.Z., 2024. AIstructure-Copilot: Assistant for generative AI-driven intelligent design of building structures. Smart Construction 1, 0001. https://doi.org/10.55092/sc20240001
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Intelligent design and optimization system for shear wall structures based on large language models and generative artificial intelligence

Published in: Journal of Building Engineering, 2024

Develops an intelligent design and optimization system for shear wall structures, increasing efficiency by about 30 times.

Recommended Citation: Qin, S.Z., Guan, H., Liao, W.J., Gu, Y., Zheng, Z., Xue, H.J., Lu, X.Z., 2024. Intelligent design and optimization system for shear wall structures based on large language models and generative artificial intelligence. Journal of Building Engineering 95, 109996. https://doi.org/10.1016/j.jobe.2024.109996
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ChatHouseDiffusion: Prompt-guided generation and editing of floor plans

Published in: arXiv, 2024

Develops a novel approach that utilizes large language models, graphormer, and diffusion models to generate and edit floor plans interactively.

Recommended Citation: 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. https://doi.org/10.48550/arXiv.2410.11908
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Intelligent generation and optimization method for the retrofit design of RC frame structures using buckling-restrained braces

Published in: Earthquake Engineering & Structural Dynamics, 2024

Proposes a two-stage intelligent design method for the retrofitting of RC frame structures with BRBs, based on generative AI and optimization algorithms. This method enables the decoupling of architectural and structural design requirements.

Recommended Citation: Tan, Z., Qin, S.Z., Hu, K.G., Liao, W.J., Gao, Y., Lu, X.Z., 2025. Intelligent generation and optimization method for the retrofit design of RC frame structures using buckling-restrained braces. Earthquake Engineering & Structural Dynamics 54, 530–547. https://doi.org/10.1002/eqe.4268
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Intelligent design for component size generation in reinforced concrete frame structures using heterogeneous graph neural networks

Published in: Automation in Construction, 2025

Proposes a general heterogeneous graph representation method for RC frame structures capturing intrinsic properties and topological relationships. Develops an efficient method using HetGNN to determine the sectional sizes of RC frame structures within one second.

Recommended Citation: Qin, S.Z., Liao, W.J., Huang, Y.L., Zhang, S.L., Gu, Y., Han, J., Lu, X.Z., 2025. Intelligent design for component size generation in reinforced concrete frame structures using heterogeneous graph neural networks. Automation in Construction 171, 105967. https://doi.org/10.1016/j.autcon.2025.105967
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Graph neural network-assisted evolutionary algorithm for rapid optimization design of shear-wall structures

Published in: Advanced Engineering Informatics, 2025

Presents a novel GNN-assisted evolutionary algorithm that integrates a powerful GNN surrogate model with evolutionary algorithms to rapidly optimize RC shear wall structures, significantly reducing computational costs while achieving high-quality design outcomes.

Recommended Citation: Fei, Y.F., Qin, S.Z., Liao, W.J., Guan, H., Lu, X.Z., 2025. Graph neural network-assisted evolutionary algorithm for rapid optimization design of shear-wall structures. Advanced Engineering Informatics 65, 103129. https://doi.org/10.1016/j.aei.2025.103129
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Comparative analysis of intelligent retrofit design methods of RC frame structures using buckling-restrained braces

Published in: Bulletin of Earthquake Engineering, 2025

The study compares different algorithm combinations and finds that GANs, diffusion models, and genetic algorithms perform well in capturing design features and exploring the solution space efficiently. Their integration achieves near-optimal and standard-compliant retrofit solutions, offering practical guidance for intelligent design applications.

Recommended Citation: Qin, S.Z., Liao, W.J., Tan, Z., Hu, K.G., Gao, Y., Lu, X.Z., 2025. Comparative analysis of intelligent retrofit design methods of RC frame structures using buckling-restrained braces. Bull Earthquake Eng. https://doi.org/10.1007/s10518-025-02164-3
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Leveraging data-driven artificial intelligence in optimization design for building structures: A review

Published in: Engineering Structures, 2025

The study reviews data-driven intelligent optimization design for building structures, highlighting how data-driven AI can assist in initial solution generation, optimization problem simplification, optimization problem solving, and solution evaluation.

Recommended Citation: Qin, S.Z., Fei, Y.F., Liao, W.J., Lu, X.Z., 2025. Leveraging data-driven artificial intelligence in optimization design for building structures: A review. Engineering Structures 341, 120810. https://doi.org/10.1016/j.engstruct.2025.120810
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