Sizhong Qin

Sizhong Qin

PhD Student, Civil Engineering

Publications

in Chinese

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. In: Proceedings of the 8th National Conference on Building Information Modeling, pp. 109–113. China Architecture & Building Press.
PaperURL

Enlightenment to China on earthquake prevention and disaster reduction from the M7.8 earthquake in Turkey

Published in: City and Disaster Reduction, 2023

(in Chinese) Implications of the 7.8-magnitude earthquake in Turkey for Chinese earthquake prevention and mitigation efforts

Recommended Citation: Lu, X.Z., Qin, S.Z., Xu, Z., 2023. Enlightenment to China on earthquake prevention and disaster reduction from the M7.8 earthquake in Turkey. City and Disaster Reduction 2023(2), 1–8. DOI:10.3969/j.issn.1671-0495.2023.02.002.
PaperURL

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(9), 162–169. DOI:10.13204/j.gyjzG23081006.
PaperURL

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(2), 194–201. DOI:10.6052/j.issn.1000-4750.2022.04.0281.
PaperURL

Co-first Author

AutoCut: End-to-end advertisement video editing based on multimodal discretization and controllable generation

Published in: CVPR 2026, 2026

An end-to-end advertisement video editing framework that uses multimodal discretization and controllable generation, unifying video selection, script generation, and BGM selection in a single pipeline.

Recommended Citation: Zhou, M., Qin, S.Z., Li, Y.Z., Chen, Q., Jiang, P., 2026. AutoCut: End-to-end advertisement video editing based on multimodal discretization and controllable generation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 37777–37787. https://arxiv.org/abs/2603.28366
PaperURL

Corresponding Author

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(2), 530–547. DOI:10.1002/eqe.4268.
PaperURL

in English

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: Proceedings of the Creative Construction e-Conference 2022, pp. 97–104. DOI:10.3311/CCC2022-014.
PaperURL

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(12), 148–159. DOI:10.6052/j.issn.1000-4750.2023.05.0360.
PaperURL

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(1), 0001. DOI:10.55092/sc20240001.
PaperURL

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. DOI:10.1016/j.jobe.2024.109996.
PaperURL

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. arXiv preprint arXiv:2410.11908. https://arxiv.org/abs/2410.11908
PaperURL

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(2), 530–547. DOI:10.1002/eqe.4268.
PaperURL

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. DOI:10.1016/j.autcon.2025.105967.
PaperURL

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. DOI:10.1016/j.aei.2025.103129.
PaperURL

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 of BRB intelligent design 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. Bulletin of Earthquake Engineering 23(8), 3353–3374. DOI:10.1007/s10518-025-02164-3.
PaperURL

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. DOI:10.1016/j.engstruct.2025.120810.
PaperURL

Intelligent design of dimensions of reinforced concrete frame structure components using diffusion models

Published in: Computers in Industry, 2026

This study proposes a diffusion model-based approach for predicting component dimensions in reinforced concrete frame structures, achieving high accuracy and engineering-consistent performance through multichannel masking and gradient-weighted correction.

Recommended Citation: Gu, Y., Qin, S.Z., Liao, W.J., Lu, X.Z., 2026. Intelligent design of dimensions of reinforced concrete frame structure components using diffusion models. Computers in Industry 175, 104428. DOI:10.1016/j.compind.2025.104428.
PaperURL

Tokenization Allows Multimodal Large Language Models to Understand, Generate and Edit Architectural Floor Plans

Published in: CVPR 2026, 2026

A multimodal large language model that unifies floor plan understanding, generation, and editing via discrete room-instance tokens, enabling controllable and interpretable operations.

Recommended Citation: Qin, S.Z., Weber, R.E., Lu, X.Z., 2026. Tokenization Allows Multimodal Large Language Models to Understand, Generate and Edit Architectural Floor Plans. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 10430–10440. https://arxiv.org/abs/2603.11640
PaperURL | Project Page

AutoCut: End-to-end advertisement video editing based on multimodal discretization and controllable generation

Published in: CVPR 2026, 2026

An end-to-end advertisement video editing framework that uses multimodal discretization and controllable generation, unifying video selection, script generation, and BGM selection in a single pipeline.

Recommended Citation: Zhou, M., Qin, S.Z., Li, Y.Z., Chen, Q., Jiang, P., 2026. AutoCut: End-to-end advertisement video editing based on multimodal discretization and controllable generation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 37777–37787. https://arxiv.org/abs/2603.28366
PaperURL

First Author

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(9), 162–169. DOI:10.13204/j.gyjzG23081006.
PaperURL

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(12), 148–159. DOI:10.6052/j.issn.1000-4750.2023.05.0360.
PaperURL

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(1), 0001. DOI:10.55092/sc20240001.
PaperURL

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. DOI:10.1016/j.jobe.2024.109996.
PaperURL

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. arXiv preprint arXiv:2410.11908. https://arxiv.org/abs/2410.11908
PaperURL

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. DOI:10.1016/j.autcon.2025.105967.
PaperURL

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 of BRB intelligent design 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. Bulletin of Earthquake Engineering 23(8), 3353–3374. DOI:10.1007/s10518-025-02164-3.
PaperURL

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. DOI:10.1016/j.engstruct.2025.120810.
PaperURL

Tokenization Allows Multimodal Large Language Models to Understand, Generate and Edit Architectural Floor Plans

Published in: CVPR 2026, 2026

A multimodal large language model that unifies floor plan understanding, generation, and editing via discrete room-instance tokens, enabling controllable and interpretable operations.

Recommended Citation: Qin, S.Z., Weber, R.E., Lu, X.Z., 2026. Tokenization Allows Multimodal Large Language Models to Understand, Generate and Edit Architectural Floor Plans. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 10430–10440. https://arxiv.org/abs/2603.11640
PaperURL | Project Page

Posts

WeChat