林佳瑞

职称:副研究员
电话:010-62789225
传真:010-62789225
邮箱:lin611@tsinghua.edu.cn
通信地址:北京市海淀区清华大学土木工程系
邮编:100084

个人主页

https://linjiarui.net

教育背景

2011年8月-2016年6月,清华大学,土木系,工学博士

2007年8月-2011年7月,清华大学,土木系,工学学士

工作履历

2018年10月-今,清华大学土木系,力学计算与仿真实验室主任、数字建造教学实验室主任

2018年8月-今,清华大学土木系,助理研究员、副研究员

2020年7月-2026年7月,清华大学土木工程暨建设管理系,研工组组长

2018年1月-2018年6月,斯坦福大学土木与环境系,访问学者

2016年6月-2018年8月,清华大学土木系,博士后

开设课程

工程系统表达原理

工程计算机制图(国家精品课)

数据科学(校精品课)

建筑信息模型理论与实践

奖励与荣誉

国家级高层次青年人才、中国科协“青托”

2025年华夏建设科学技术一等奖

2024年黄河水利委员会科技进步特等奖

2023年华夏建设科学技术二等奖

2023 buildingSMART openBIM国际大奖赛专业研究类冠军

2021年中国图学学会科技进步一等奖


2025年清华大学教学成果一等奖

2024年清华大学”刘冰奖”

2024年中国图学学会图学教学名师(青年组)

2023年清华大学第十八届“良师益友”

2022年度首都大学生社会实践先进工作者

研究领域

主要研究方向为BIM/CIM、智能审图、智能巡检、工程孪生大模型

学术及其他社会兼职

2023年11月-今,《图学学报》 编委

2021年7月-2026年12月,中国图学学会BIM专业委员会秘书长

2021年7月-2026年12月,中国图学学会第八届理事

2016年11月-今,中国图学学会BIM专委会委员

科研项目

1. 国家自然科学基金,数据与知识融合驱动的复杂机电管线时空冲突辨识机理及优化方法,2024.1-2027.12

2. 国家自然科学基金,应对风险的城市基础设施韧性评估与管理,2021.1-2025.12

3. 国家自然科学基金,融合知识推理与性能仿真的性能消防设计审查方法,2020.1-2022.12

4. 国家重点研发计划子课题,建筑工程标准数字化知识库关键技术研究,2023.12-2027.11

5. 国家重点研发计划子课题,基于建筑(群)数字孪生模型的工程工序可视化在线推演方法,2023.12-2026.11

6. 企业合作,基于BIM和大数据库的国家速滑馆全生命期管控技术与平台,2019.6-2020.6

学术成果

1. Lin, J.R., Cai, Y., Ni, X.R., Pan, P.* (2026). Intelligent Identification and Correction of Property-related Design Defects in BIM via Large Language Models. Automation in Construction, 192, 107218.

2. Zheng, Z., Han, J., Chen, K.Y., Cao, X.Y., Lu, X.Z., Lin, J.R.* (2026). Translating Regulatory Clauses into Executable Codes for Building Design Checking via Large Language Model Driven Function Matching and Composing. Engineering Applications of Artificial Intelligence, 163, 112823.

3. Han, J., Lu, X.Z., Lin, J.R.* (2025). Pretrained Graph Neural Network for Embedding Semantic, Spatial, and Topological Data in Building Information Models. Computer-Aided Civil and Infrastructure Engineering, 40(26), 4607-4631.

4.Lin, J.R., Chen, K.Y., Song, S.Y., Cai, Y.H., Pan, P.*, Deng, Y.C. (2025). Digital Twin of Buildings and Occupants for Emergency Evacuation: Framework, Technologies, Applications and Trends. Advanced Engineering Informatics, 66, 103419.

5. Ni, X.R., Pan, P., Lin, J.R.* (2025). What Makes a Good BIM Design? Quantifying the Link between Design Behavior and Quality. Automation in Construction, 171, 105992. doi: 10.1016/j.autcon.2025.105992

6. Zhou, S., Lin, J.R.*, Pan, P., Pan, Y., Brilakis, I. (2025). Impact of Color and Mixing Proportion of Synthetic Point Clouds on Semantic Segmentation. Automation in Construction, 171, 105963. doi: 10.1016/j.autcon.2025.105963

7. Han, J., Zheng, Z., Lu, X.Z., Chen, K.Y., Lin, J.R.* (2024). Enhanced Earthquake Impact Analysis based on Social Media Texts via Large Language Model. International Journal of Disaster Risk Reduction, 109, 104574. doi: 10.1016/j.ijdrr.2024.104574

8. Zheng, Z., Zhou, Y.C., Chen, K.Y., Lu, X.Z., She, Z.T., Lin, J.R.* (2024). A Text Classification-based Approach for Evaluating and Enhancing the Machine Interpretability of Building Codes. Engineering Applications of Artificial Intelligence, 127, 107207. doi: 10.1016/j.engappai.2023.107207

9. Jiang, C., Liang, X., Zhou, Y.C., Tian, Y., Xu, S, Lin, J.R.*, Ma, Z., Yang S., Zhou, H. (2023). A Multilayer Perceptron-based Fast Sunlight Assessment for the Conceptual Design of Residential Neighborhoods under Chinese Policy. Building and Environment, 244, 110739. doi: 10.1016/j.buildenv.2023.110739

10. Jiang, C., Li, X., Lin, J.R.*, Liu, M., Ma, Z. (2023). Adaptive Control of Resource Flow to Optimize Construction Work and Cash Flow via Online Deep Reinforcement Learning. Automation in Construction, 150, 104817. doi: 10.1016/j.autcon.2023.104817

11. Deng, H., Xu, Y.W., Deng, Y.C., Lin, J.R. (2022). Transforming Knowledge Management in the Construction Industry through Information and Communications Technology: A 15-year Review. Automation in Construction, 142, 104530. doi: 10.1016/j.autcon.2022.104530

12. Zheng, Z., Zhou, Y.C., Lu, X.Z., Lin, J.R.* (2022). Knowledge-Informed Semantic Alignment and Rule Interpretation for Automated Compliance Checking. Automation in Construction, 142, 104524. doi: 10.1016/j.autcon.2022.104524

13. Duan, R., Deng, H., Tian, M., Deng, Y.C., Lin, J.R. (2022). SODA: A Large-scale Open Site Object Detection Dataset for Deep Learning in Construction. Automation in Construction, 142, 104499. doi: 10.1016/j.autcon.2022.104499

14. Zheng, Z., Zhou, Y.C., Lin, J.R.*, Lu, X.Z. (2022). Integrating NLP and Context-Free Grammar for Complex Rule Interpretation towards Automated Compliance Checking. Computers in Industry, 142, 103746. doi: 10.1016/j.compind.2022.103746

15. Zheng, Z., Lu, X.Z., Chen, K.Y., Zhou, Y.C., Lin, J.R.* (2022). Pretrained Domain-Specific Language Model for Natural Language Processing Tasks in the AEC Domain. Computers in Industry, 142, 103733. doi: 10.1016/j.compind.2022.103733

16. Wu, M.H., Lin, J.R.*, Zhang, X.H. (2022). How Human-robot Collaboration Impacts Construction Productivity: An Agent-based Multi-fidelity Modeling Approach. Advanced Engineering Informatics, 52, 101589. doi: 10.1016/j.aei.2022.101589

17. Wu, L.T, Lin, J.R., Leng, S., Li, J.L., Hu, Z.Z. (2022). Rule-based Information Extraction for Mechanical-Electrical-Plumbing-Specific Semantic Web. Automation in Construction, 135, 104108. doi: 10.1016/j.autcon.2021.104108

18. Hu, Z.Z.*, Leng, S., Lin, J.R., Li, S.W., Xiao, Y.Q. (2022). Knowledge Extraction and Discovery Based on BIM: A Critical Review and Future Directions. Archives of Computational Methods in Engineering, 29(1), 335-356. doi: 10.1007/s11831-021-09576-9

19. Lin, J.R.*, Wu D.P. (2021). An Approach to Twinning and Mining Collaborative Network of Construction Projects. Automation in Construction, 125, 103643. doi: 10.1016/j.autcon.2021.103643

20. Lin, J.R.*, Zhou, Y.C. (2020). Semantic Classification and Hash Code Accelerated Detection of Design Changes in BIM Models. Automation in Construction, 115, 103212. doi: 10.1016/j.autcon.2020.103212