Education Experience

2025.08-2026.02, Visiting Scholar at Center for Built Environment, UC Berkeley
2023-Present, Ph.D. Student in Civil Engineering, Tsinghua University
2021-2023, Minor in Bachelor of Engineering, Software Engineering, Tsinghua University, GPA: 3.85/4.00, 30 Credits
2019-2023, Major in Bachelor of Engineering, Civil, Hydraulic, and Marine Engineering (Civil Engineering Focus), Tsinghua University, GPA: 3.98/4.00, 191 Credits

Work Experience

2025.06-2025.08, Intership, MLLM Algorithm Engineer, Kuaishou Technology
2023-2024, Teaching Assistant for Undergraduate Course “Civil Engineering and Disaster Mitigation”
2023-2024, Teaching Assistant for Graduate Course “Disaster Science”
2020-2022, Member, Minister, and President, Student Association for Science and Technology, Department of Civil Engineering and Construction Management, Tsinghua University
2019-2021, Member and Executive Vice President, Tsinghua University Student Makerspace Association

Honors

Education

2024.12，Tsinghua University First-Class Comprehensive Excellence Scholarship
2023.08, Tsinghua University Ph.D. “Future Scholar” Scholarship
2023.07, Beijing Outstanding Graduate
2023.06, Tsinghua University Outstanding Graduate
2023.03, Mao Yisheng Science and Technology Award - Engineering Education Student Award (Nationwide, 9 recipients)
2022.12, Nominee for Tsinghua University Undergraduate Special Scholarship (Top 15 in the University)
2022.12, National Scholarship
2022.12, Tsinghua University Comprehensive Excellence Scholarship
2022.12, Tsinghua University Science and Technology Innovation Excellence Scholarship (Tsinghua Friends - Longhu Scholarship)
2021.12, Tsinghua University Comprehensive Excellence Scholarship (Tsinghua Friends - Xitai Scholarship)
2020.12, Tsinghua University Comprehensive Excellence Scholarship (Tsinghua Friends - Hengda Scholarship)
2020.12, Tsinghua University Practice Excellence Scholarship (Tsinghua Friends - Gammon First-Class Scholarship)

Research

2025.06, Tsinghua University’s first “Tanzhen Scholars” (15 recipients university-wide).
2024.06, “Galaxy Award” (Civil Engineering Diagnosis and Maintenance) Excellent Paper Silver Award (one of two student recipients)
2023.12, Excellent Undergraduate Graduation Design (Thesis) of Beijing Regular Higher Education Institutions
2023.06, Excellent Undergraduate Thesis in Comprehensive Paper Training, Tsinghua University
2023.05, Gold with congratulations of the jury at the 48th Geneva International Invention Exhibition (sole undergraduate in the team)

Competitions

2024.07, First Prize in “Beijing Xicheng · University Development Alliance” Youth Digital Innovation and Creativity Competition (2/100+)
2022.12, First Prize in the National College Student Intelligent Construction Digital Design Competition “YJK Cup” (Team Leader, 1/600+)
2022.07, Grand Prize in the Fourth “Mao Yisheng Public Welfare Bridge - Small Bridge Project” Innovation Design Competition “China Railway 14th Bureau Cup” (Team Leader, 1/99)

Skills

Computer Skills
- Programming Languages: Python, C, C++, C#, Java, JS, Matlab, SQL
- Frontend: Vue.js
- Backend: Django, Flask
- Operating Systems: Windows, Linux
- AI: Basic familiarity with common deep learning and machine learning models (CNN, RNN, GNN, LSTM, Transformer, etc.)
Finite Element Analysis
- Marc, Midas, SAP2000
Modeling and Drawing
- AutoCAD, Revit, Sketchup

Publications

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

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

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

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

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

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.

Leveraging data-driven artificial intelligence in optimization design for building structures: A review

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.

Comparative analysis of intelligent retrofit design methods of RC frame structures using buckling-restrained braces

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.

Graph neural network-assisted evolutionary algorithm for rapid optimization design of shear-wall structures

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.

Intelligent design for component size generation in reinforced concrete frame structures using heterogeneous graph neural networks

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.

Intelligent generation and optimization method for the retrofit design of RC frame structures using buckling-restrained braces

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.

ChatHouseDiffusion: Prompt-Guided Generation and Editing of Floor Plans

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

Intelligent design and optimization system for shear wall structures based on large language models and generative artificial intelligence

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.

AIstructure-Copilot: Assistant for generative AI-driven intelligent design of building structures

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.

Synthetic research on construction inspection based on BIM and point cloud segmentation using deep learning

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.

An efficient assessment method for intelligent design results of shear wall structure based on mechanical performance, material consumption, and empirical rules

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.

Exploring and discussion on the application of large language models in construction engineering

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.

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

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.

A calculation system for the adjustment of prefabricated segmental beam templates based on the “cloud + end” model

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.

A Cloud-Based System for Supporting Quick Location of Precast Concrete Formwork Using Computer Vision and BIM

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.

Sizhong Qin