颜旭众

毕业于 浙江大学建筑工程学院 和 香港理工大学建筑及房地产学系，双博士学位。

爱老婆 爱教学 爱科研 爱电吉他 工科男性格直率简单纯粹

致力于用计算机视觉、深度学习、多目标优化等方法解决项目管理问题，实现AI赋能的项目管理

近期研究成果图片摘要：

一、发表论文 (* 通讯作者)

1. Yan Xuzhong*, Zhu Yiqiao, Wang Zeli, Xu Bin, He Liu, Xia Rong (2025). Intelligent flood scene understanding using computer vision-based multi-object tracking. Water. 17(14): 2111. (SCI, JCR Q2, DOI: https://doi.org/10.3390/w17142111) 

2. Wang Zeli, Yan Xuzhong, Ma Xiaoyan, Li Heng (2025). Vision-based collision prevention on construction sites: Integrating trajectory prediction and uncertainty modeling. Journal of Construction Engineering and Management. 152(1): 04025214. (SCI, JCR Q1, DOI:https://doi.org/10.1061/JCEMD4.COENG-16894)

3. Xia Zhekai, Wang Jun, M. Reza Hosseini, Shou Wenchi, Yan Xuzhong, Xu Shuyuan (2025). How knowledge is represented in AEC industry: A systematic review. Engineering, Construction and Architectural Management. 1-30. (SCI/SSCI, JCR Q1, DOI: https://doi.org/10.1108/ECAM-12-2024-1751)
   

4. Xia Rong, Li Zhixing, Gao Xiaowen, Luo Siyi, Xiong Ruiyin, Yan Xuzhong (2025). Spatiotemporal analysis of microclimatic and environmental interactions with visualcompensation for thermalcomfort: Case studies in Hangzhou's urban waterfronts. Urban Climate. 61: 102428. (SCI, JCR Q1, DOI: https://doi.org/10.1016/j.uclim.2025.102428)

5. 颜旭众*，朱怡巧，张宏，陈懿园 (2025). 预制构件吊装延误干扰智能感知与评估. 土木工程与管理学报. 42(1): 1-8. (https://d.wanfangdata.com.cn/periodical/whcsjsxyxb202501013)

6. Yan Xuzhong*, Jin Rui, Zhang Hong, Gao Hui, Xu Suyuan (2025). Computer vision-based intelligent monitoring of disruptions due to construction machinery arrival delay. Journal of Computing in Civil Engineering. 39(3): 0402501. (SCI, JCR Q1, DOI: https://doi.org/10.1061/jccee5.cpeng-6178)

7. Li Zhixing, Yan Xuzhong*, Tang Shukun, et al. (2025). Multi-objective and hybrid intelligence approaches to enhance human comfort and mitigate greenhouse gas emissions of Chinese courtyard buildings. International Journal of Low-Carbon Technologies. 20: 1520-1543. (SCI, JCR Q2, DOI: https://doi.org/10.1093/ijlct/ctae223)

8. Yan Xuzhong, Zhang Hong, Wu Yefei, et al. (2023). Construction Instance Segmentation (CIS) dataset for deep learning-based computer vision. Automation in Construction. 156: 105083. (SCI, JCR Q1: 1/137, DOI: https://doi.org/10.1016/j.autcon.2023.105083)

9. Yan Xuzhong, Zhang Hong, Zhang Wenyu (2022). Intelligent monitoring and evaluation for the prefabricated construction schedule. Computer-Aided Civil and Infrastructure Engineering, 1-17. (SCI, JCR Q1: 2/137, DOI: https://doi.org/10.1111/mice.12838)

10. Yan Xuzhong, Zhang Hong, Gao Hui (2022). Mutually coupled detection and tracking of trucks for monitoring construction material arrival delays. Automation in Construction, 142: 104491. (SCI, JCR Q1: 1/137, DOI: https://doi.org/10.1016/j.autcon.2022.104491)

11. Yan Xuzhong, Zhang Hong (2021). Computer vision-based disruption management for prefabricated building construction schedule. Journal of Computing in Civil Engineering, 35.6: 04021027. (SCI, JCR Q1, DOI: https://doi.org/10.1061/(asce)cp.1943-5487.0000990)

12. Yan Xuzhong, Zhang Hong, Li Heng (2020). Computer vision-based recognition of 3D relationship between construction entities for monitoring struck-by accidents. Computer-Aided Civil and Infrastructure Engineering, 1-16. (SCI, JCR Q1: 2/137, DOI: https://doi.org/10.1111/mice.12536)

13. Jin Rui, Zhang Hong, Liu Donghai, Yan Xuzhong (2020). IoT-based detecting, locating and alarming of unauthorized intrusion on construction sites. Automation in Construction, 118, 103278. (SCI, JCR Q1: 1/137, DOI: https://doi.org/10.1016/j.autcon.2020.103278)

14. Yan Xuzhong, Zhang Hong, Li Heng (2019). Estimating worker-centric 3D spatial crowdedness for construction safety management using a single 2D camera. Journal of Computing in Civil Engineering, 33(5), 04019030. (SCI, JCR Q1, DOI: https://doi.org/10.1061/(asce)cp.1943-5487.0000844)

15. Zhang Hong, Yan Xuzhong*, Li Heng, Jin Rui, Fu Hongfeng (2019). Real-Time Alarming, Monitoring, and Locating for Non-Hard-Hat Use in Construction. Journal of Construction Engineering and Management, 145(3), 04019006. (SCI, JCR Q1, DOI: https://doi.org/10.1061/(asce)co.1943-7862.0001629)

16. Yan Xuzhong, Li Hneg, Zhang Hong, Timothy M. Rose (2018). Personalized method for self-management of trunk postural ergonomic hazards in construction rebar ironwork. Advanced Engineering Informatics, 37, 31-41. (SCI, JCR Q1, DOI: https://doi.org/10.1016/j.aei.2018.04.013)

17. Zhang Hong, Yan Xuzhong*, Li Heng (2018). Ergonomic posture recognition using 3D view-invariant features from single ordinary camera. Automation in Construction, 94, 1-10. (SCI, JCR Q1: 1/137, DOI: https://doi.org/10.1016/j.autcon.2018.05.033)

18. Yan Xuzhong, Li Heng, Wang Chen, JoonOh Seo, Zhang Hong, Wang Hongwei (2017). Development of ergonomic posture recognition technique based on 2D ordinary camera for construction hazard prevention through view-invariant features in 2D skeleton motion. Advanced Engineering Informatics, 34, 152-163. (SCI, JCR Q1, DOI: https://doi.org/10.1016/j.aei.2017.11.001)

19. Yan Xuzhong, Li Heng, Li R. Angus, Zhang Hong (2017). Wearable IMU-based real-time motion warning system for construction workers' musculoskeletal disorders prevention. Automation in Construction, 74, 2-11. (SCI, JCR Q1: 1/137, DOI: https://doi.org/10.1016/j.autcon.2016.11.007) 

二、发明专利与计算机软著

1. 著作权人：颜旭众, 张乾坤, 金枫凌, 金睿, 胡强, 刘依明, 王超. 工程建设实例分割数据集自动化标注系统 V1.0

三、开源项目 (GitHub主页：https://github.com/XZ-YAN)

1. CIS数据集：https://github.com/XZ-YAN/CIS-Dataset

2. CMOT数据集： https://github.com/XZ-YAN/CMOT-Dataset

3. 实例分割与多目标跟踪算法：https://github.com/XZ-YAN/CVB-MOT-Flood

四、博士毕业论文

1. 基于计算机视觉技术的数字化建筑施工进度干扰管理研究 (浙江大学)

2. Intelligent Perception and Personalized Assessment of Hazardous Acts of Construction Workers (香港理工大学)

1. 主持 国自科基金青年项目：装配式建筑项目进度干扰多源视觉智能感知与优化管控研究

2. 主持 横向课题：工程建设视觉数据集自动生成关键技术研究

3. 主持 横向课题：工程管理公权力监督研究与应用

4. 主持 横向课题：施工现场过程监测的计算机视觉技术研究

5. 主持 横向课题：施工作业工效学风险监测的计算机视觉技术开发

6. 参与 国自科基金面上项目：基于工程项目进度计划的人体工效学风险与防控机理、仿真和评估研究

7. 参与 国家社科基金项目：组织员工可持续就业能力框架构建和实现路径研究

8. 参与 杭州市住房保障和房产管理局项目：全市城乡危房解危路径探索政策研究

9. 参与 浙江省发展和改革委员会项目：关于促进浙江省创业投资持续健康发展的研究

10. 参与 浙江省建工集团项目：基于智能安全帽的施工人员危险行为监测与考勤管理系统

11. 参与 香港建造业议会项目：基于可穿戴传感器的建筑工人腰背损伤保护系统

本科生课：

1. 数字建造技术

2. 计算机视觉与图像处理

3. 工程经济学

4. 施工技术

5. 施工组织计划
   

6. 建设法规

7. 研究方法与论文写作

研究生课：

1. Project Management （全英）

2. Research Ethics and Academic Norms（全英）

2023年浙江省第六届大学生智能建造与管理创新竞赛三等奖、优胜奖

2022年浙江工业大学“运河杯”大学生课外学术科技基金立项

任浙江省建设投资集团工程研究总院外聘专家