96m娱乐平台

闫树睿  博士后

Shurui Yan，Postdoctoral Researcher

邮箱：[email protected]

清华大学建筑系博士、厦门大学建筑系硕士、合肥工业大学建筑系本科，中国科96m 大学博士后，现为96m娱乐平台(中国)官方网站 博士后。长期从事计算性建筑设计、绿色低碳建筑设计研究，重点关注建筑设计与人工智能交叉领域，包括建筑空间生成、建筑大语言模型、大数据空间分析及预测等。

目前主持国家自然科学基金青年基金1项、国家资助博士后研究人员计划B档1项。参与国家十三五重点研发专项、国家自然科学基金面上项目等多项。发表论文20余篇，包括第一作者的Building and Environment、Journal of Building Engineering、建筑学报等。以主要发明人获发明专利和软件著作权9项，参编专著1部，参加建筑设计及人工智能竞赛获奖11项，包括第一作者或团队骨干的国际奖2项，全国一等奖2项。曾获得清华大学建筑96m 优秀博士论文、福建省优秀专业硕士学位论文、清华大学建筑96m 博士生论坛优秀论文、清华大学蒋南翔奖学金（特奖提名）、清华大学国家奖学金、清华大学校级优秀学生干部等荣誉。

Dr. Yan holds Ph.D. degree in Architecture from Tsinghua University, Master’s degree in Architecture from Xiamen University, and Bachelor’s degree in Architecture from Hefei University of Technology. He worked as a Postdoctoral researcher at the University of Chinese Academy. He specializes in computational architectural design and green building design, with a focus on the interdisciplinary integration of architectures and artificial intelligence. His research centers on architectural space generation, the development of architectural large language models, and big data-driven architectural spatial analysis and prediction.

As a principal investigator, he has secured funding from the National Natural Science Foundation of China (NSFC) Youth Program (C-type) and the Postdoctoral Fellowship Program B of CPSF, while contributing to national initiatives such as the 13th Five-Year Plan National Key R&D Program and NSFC General Program. His scholarly output includes over 20 peer-reviewed publications in journals such as Building and Environment, Journal of Building Engineering, and Journal of Architecture; 9 patents and software copyrights, 1 co-authored monograph publication; several competitive awards in architectural design and AI, including 2 international awards and 2 national first prizes. Academic honors include Excellent Ph.D Thesis Award of School of Architecture, Tsinghua University; Excellent Master’s Thesis Award of Fujian Province; the Jiang Nanxiang Scholarship and National Scholarship of Tsinghua University; the Outstanding Student Cadre Award of Tsinghua University.

论文获奖

l2023 清华大学建筑96m 优秀博士论文

l2018 福建省优秀专业硕士学位论文

l2022 清华大学建筑96m 博士生论坛优秀论文

竞赛获奖

l2018 SD中国国际太阳能十项全能竞赛，国际第三名，团队学生负责人，中国能源部、美国能源部

l2020全国高等院校城乡规划专业大学生乡村规划设计竞赛，全国一等奖，第一作者，中国城市规划学会

l2020 客家杯全国乡村设计大赛，全国一等奖，第一作者，江西土木建筑学会

l2021 全国研究生人工智能创新大赛，全国三等奖，第一作者，中国学位与研究生教育学会

l2016 福建省第十一届优秀建筑创作奖，省二等奖，第二作者，福建省土木建筑学会

奖学金

l2022 清华大学研究生蒋南翔奖学金

l2021 清华大学研究生国家奖学金

主持课题

l国家自然科学基金青年基金“大语言模型住宅户型跨模态知识增强与交互式设计方法研究”，2026-2028

National Natural Science Foundation of China (NSFC) Youth Program: "Research on Cross-Modal Knowledge Enhancement and Interactive Design Methods for Residential Unit Design Using Large Language Models", 2026–2028

l国家资助博士后研究人员计划B档（国资计划）“华北地区乡村住宅空间布局智能化设计关键技术研究”，2023-2025

China Postdoctoral Science Foundation (Program B): "Key Technologies for Intelligent Design of Rural Residential Spatial Layouts in North China", 2023–2025

l智慧低碳建筑技术福建省高校重点实验室开放基金课题“基于深度学习的住宅空间要素与碳排放关联机制及预测方法研究”，2024-2025

Open Fund of the Fujian Provincial Key Laboratory of Smart and Low-Carbon Building Technologies: "Research on Correlation Mechanisms and Prediction Methods for Residential Spatial Elements and Carbon Emissions Based on Deep Learning", 2024–2025

参与课题

l国家“十三五”重点研发计划“绿色建筑及建筑工业化”专项“目标和效果导向的绿色建筑设计新方法及工具”子课题“北方地区城镇居住建筑绿色设计新方法与技术协同优化”, 2016-2021

National Key R&D Program of the 13th Five-Year Plan: "New Methods and Tools for Green Building Design Oriented by Objectives and Outcomes" Sub-project: "Collaborative Optimization of Green Design Methods for Urban Residential Buildings in Northern China", 2016–202

l国家自然科学基金面上项目“基于机器学习的寒冷地区绿色住宅空间环境变量耦合机制与数据设计方法研究”, 2020-2024

National Natural Science Foundation of China (NSFC) General Program: "Coupling Mechanisms and Data-Driven Design Methods for Spatial Environmental Variables in Green Residential Buildings in Cold Regions Based on Machine Learning", 2020–2024

代表性论文：

lShurui Yan, Nianxiong Liu, Weitao Wang, et al. An adaptive predicted percentage dissatisfied model based on the air-conditioner turning-on behaviors in the residential buildings of China[J]. Building and Environment, 2021, 191: 107571.（SCI, Q1, 中科院一区, IF=7.1）

lShurui Yan, Nianxiong Liu. Computational Design of Residential Units’ Floor Layout: A Heuristic Algorithm[J]. Journal of Building Engineering, 2024: 110546. （SCI, Q1, 中科院二区top，IF=6.7）

lShurui Yan, Yixin Zhang, Haode Sun, et al. A real-time operational carbon emission prediction method for the early design stage of residential units based on a convolutional neural network: A case study in Beijing, China[J]. Journal of Building Engineering, 2024 (1): 106994.（SCI, Q1, 中科院二区top, IF=6.7）

lShurui Yan, Feng Shi, Chenyuan Zheng, et al. Whole biomass material envelope system for nearly-zero energy houses: Carbon footprint and construction cost assessment[J]. Journal of Building Engineering, 2024: 108757. （SCI, Q1, 中科院二区top, IF=6.7）

l闫树睿, 刘念雄, 苏航. 基于蒙特卡洛树搜索的建筑生成式设计方法——以住宅户型布局设计为例[J]. 建筑学报, 2023(02):64-68.（南大核心、北大核心）

lShurui Yan, Nianxiong Liu, Mengmeng Chen, et al. The thermal effect of the tandem kang model for rural houses in Northern China: a case study in Tangshan [J]. Journal of Asian Architecture and Building Engineering, 2022 (22): 1-10.（AHCI一区, SCI中科院三区, IF=1.3）

lShurui Yan, Chen Wu, Yixin Zhang. Generative design for architectural spatial layouts: a review of technical approaches[J]. Journal of Asian Architecture and Building Engineering, 2025: 1-21. (AHCI, SCI, Q1, 中科院三区)

lShanshan Wang1, Shurui Yan1, Zhang D, et al. A real-time indoor temperature and relative humidity prediction method for exhibition hall based on Long Short-Term Memory network[J]. Journal of Building Engineering, 2024: 111492. （共同一作，SCI, Q1, 中科院二区top, IF=6.7）

lYixin Zhang, Shurui Yan, Jian Liu, Peiqi Xu. Explaining the popularity influence factors of creative industry park based on a social media semantic analysis method: a case study in Beijing[J]. Sustainable Cities and Society. 2023.03 (90): 104384. （SCI, Q1，中科院一区, IF=11.7）

l王绍森, 石峰, 闫树睿.地域类型的建构——2018SDC竞赛作品“自然之间”设计解析[J].建筑学报,2018,(12):92-96.（南大核心、北大核心）

专著：

l刘念雄, 刘依明, 张竞予, 闫树睿等. 目标和效果导向的绿色住宅数据设计方法[M]. 清华大学出版社. 2021.

发明专利

l刘念雄, 闫树睿, 苏航. 一种户型布局生成方法及装置 [P]. 中国. CN114491772B, 2022.8.25.

l刘念雄, 闫树睿, 苏航. 一种户型布局生成方法及装置[P]. 中国. CN114626129B, 2022.9.9.

l刘念雄, 闫树睿. 基于监督学习的住宅户型布局生成方法及系统[P]. 中国: CN114330892B,2022.4.12.

l王珊珊, 张大玉, 闫树睿. 一种居住区布局优化设计方法、系统及存储介质[P]. 中国：CN115795638B, 2023.4.25.

l刘念雄, 张竞予, 王珊珊, 闫树睿等. 一种居住建筑设计的确定方法及系统[P]. 中国. CN 111723419B, 2022.1.4.

lNianxiong Liu, Shurui Yan, Hang Su. Method and device for floorplan generation: U.S. Patent Application 18/158,375[P]. 2023-9-28.（公示阶段）

lNianxiong Liu, Shurui Yan, Hang Su. Method and device for floorplan generation: U.S. Patent Application 18/158,359[P]. 2023-9-21.（公示阶段）

软件著作权

l刘念雄，闫树睿，王曦婧. 大语言模型建筑知识库软件[P]. 中国. 2025SR0826722, 2025.05.20.

l刘念雄，闫树睿. HU++住宅户型智能评分助手软件 V1.0 [P]. 中国.2023SR0779879,2023.7.23.

l刘念雄, 闫树睿, 苏航, 张墅阳等. HU++ 住宅计算设计助手软件V1.0 [P]. 中国. 2023SR0448142. 2023.1.20.

l刘念雄, 张竞予, 王珊珊, 闫树睿等. 面向建筑师的城市住宅数字化绿色设计指南软件V1.0 [P]. 中国. 2020SR1225541. 2020.10.29.

导则

lT/CSUS 11-2021北方严寒和寒冷地区城镇居住建筑绿色设计导则[S].中国城市科学研究会, 2021.（主要参编人）

l2018 SD中国国际太阳能十项全能竞赛“自然之间”（设计团队：JIA+）

2018 Solar Decathlon China “Nature • Between”(Design Team: JIA+)