Publications

2024

1. Facade-graph

   Hierarchical attributed graph-based generative façade parsing for high-rise residential buildings

   Bolun Wang, Maosu Li, Ziyu Peng, and Weisheng Lu

   Automation in Construction, 2024

2. 

   CIM-WV: A 2D semantic segmentation dataset of rich window view contents in high-rise, high-density Hong Kong based on photorealistic city information models

   Maosu Li, Anthony GO Yeh, and Fan Xue

   Urban Informatics, 2024

3. 

   A novel Building Section Skeleton for compact 3D reconstruction from point clouds: A study of high-density urban scenes

   Yijie Wu, Fan Xue, Maosu Li, and Sou-Han Chen

   ISPRS Journal of Photogrammetry and Remote Sensing, 2024

   Bib PDF

   @article{wu2024novel,
     title = {A novel Building Section Skeleton for compact 3D reconstruction from point clouds: A study of high-density urban scenes},
     author = {Wu, Yijie and Xue, Fan and Li, Maosu and Chen, Sou-Han},
     journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
     volume = {209},
     pages = {85--100},
     year = {2024},
     publisher = {Elsevier},
   }

2023

1. 

   HRHD-HK: A benchmark dataset of high-rise and high-density urban scenes for 3D semantic segmentation of photogrammetric point clouds

   Maosu Li, Yijie Wu, Anthony GO Yeh, and Fan Xue

   arXiv preprint arXiv:2307.07976, 2023

   Bib PDF

   @article{li2023hrhd,
     title = {HRHD-HK: A benchmark dataset of high-rise and high-density urban scenes for 3D semantic segmentation of photogrammetric point clouds},
     author = {Li, Maosu and Wu, Yijie and Yeh, Anthony GO and Xue, Fan},
     journal = {arXiv preprint arXiv:2307.07976},
     year = {2023},
   }

2. 

   Bi-objective analytics of 3D visual-physical nature exposures in high-rise high-density cities for landscape and urban planning

   Maosu Li, Fan Xue, and Anthony GO Yeh

   Landscape and Urban Planning, 2023

   Bib PDF

   @article{li2023bi,
     title = {Bi-objective analytics of 3D visual-physical nature exposures in high-rise high-density cities for landscape and urban planning},
     author = {Li, Maosu and Xue, Fan and Yeh, Anthony GO},
     journal = {Landscape and Urban Planning},
     volume = {233},
     pages = {104714},
     year = {2023},
     publisher = {Elsevier},
   }

3. 

   Building feature-based machine learning regression to quantify urban material stocks: A Hong Kong study

   Liang Yuan, Weisheng Lu, Fan Xue, and Maosu Li

   Journal of Industrial Ecology, 2023

   Bib PDF

   @article{yuan2023building,
     title = {Building feature-based machine learning regression to quantify urban material stocks: A Hong Kong study},
     author = {Yuan, Liang and Lu, Weisheng and Xue, Fan and Li, Maosu},
     journal = {Journal of Industrial Ecology},
     volume = {27},
     number = {1},
     pages = {336--349},
     year = {2023},
     publisher = {Wiley Online Library},
   }

2022

1. 

   A room with a view: Automatic assessment of window views for high-rise high-density areas using City Information Models and deep transfer learning

   Maosu Li, Fan Xue, Yijie Wu, and Anthony GO Yeh

   Landscape and Urban Planning, 2022

   Bib PDF

   @article{li2022room,
     title = {A room with a view: Automatic assessment of window views for high-rise high-density areas using City Information Models and deep transfer learning},
     author = {Li, Maosu and Xue, Fan and Wu, Yijie and Yeh, Anthony GO},
     journal = {Landscape and Urban Planning},
     volume = {226},
     pages = {104505},
     year = {2022},
     publisher = {Elsevier},
   }

2. 

   Role of the built environment in the recovery from COVID-19: evidence from a GIS-based natural experiment on the city blocks in Wuhan, China

   Maosu Li, Yi Peng, Yijie Wu, Jinying Xu, Tan Tan, Hui Guo, Weisheng Lu, Anthony GO Yeh, and Fan Xue

   Frontiers in Built Environment, 2022

   Bib PDF

   @article{li2022role,
     title = {Role of the built environment in the recovery from COVID-19: evidence from a GIS-based natural experiment on the city blocks in Wuhan, China},
     author = {Li, Maosu and Peng, Yi and Wu, Yijie and Xu, Jinying and Tan, Tan and Guo, Hui and Lu, Weisheng and Yeh, Anthony GO and Xue, Fan},
     journal = {Frontiers in Built Environment},
     volume = {7},
     pages = {192},
     year = {2022},
     publisher = {Frontiers},
   }

2020

1. MFS

   Optimized spatiotemporal data scheduling based on maximum flow for multilevel visualization tasks

   Qing Zhu, Meite Chen, Bin Feng, Yan Zhou, Maosu Li, Zhaowen Xu, Yulin Ding, Mingwei Liu, Wei Wang, and Xiao Xie

   ISPRS International Journal of Geo-Information, 2020

   Bib

   @article{zhu2020optimized,
     title = {Optimized spatiotemporal data scheduling based on maximum flow for multilevel visualization tasks},
     author = {Zhu, Qing and Chen, Meite and Feng, Bin and Zhou, Yan and Li, Maosu and Xu, Zhaowen and Ding, Yulin and Liu, Mingwei and Wang, Wei and Xie, Xiao},
     journal = {ISPRS International Journal of Geo-Information},
     volume = {9},
     number = {9},
     pages = {518},
     year = {2020},
     publisher = {MDPI},
   }

2. SGI

   An efficient sparse graph index method for dynamic and associated data

   Qing Zhu, Bin Feng, Maosu Li, Meite Chen, Zhaowen Xu, Xiao Xie, Yeting Zhang, Mingwei Liu, Zhiqin Huang, and Yicong Feng

   Acta Geodaetica et Cartographica Sinica, 2020

   Bib

   @article{qing2020efficient,
     title = {An efficient sparse graph index method for dynamic and associated data},
     author = {Zhu, Qing and Feng, Bin and Li, Maosu and Chen, Meite and Xu, Zhaowen and Xie, Xiao and Zhang, Yeting and Liu, Mingwei and Huang, Zhiqin and Feng, Yicong},
     journal = {Acta Geodaetica et Cartographica Sinica},
     volume = {49},
     number = {6},
     pages = {681},
     year = {2020},
   }

3. MSR

   Multi-level semantic retrieval method for landslide disaster data

   Qing Zhu, Maosu Li, Yulin Ding, Bin Feng, Junxiao Zhang, Zhenyu Cao, Linyao Qiu, and Hao Yin

   Journal of Southwest Jiaotong University, 2020

   Bib

   @article{qing2020multilevel,
     title = {Multi-level semantic retrieval method for landslide disaster data},
     author = {Zhu, Qing and Li, Maosu and Ding, Yulin and Feng, Bin and Zhang, Junxiao and Cao, Zhenyu and Qiu, Linyao and Yin, Hao},
     journal = {Journal of Southwest Jiaotong University},
     volume = {55},
     number = {3},
     pages = {467--475},
     year = {2020},
   }

2018

1. STR-graph

   An efficient graph-based spatio-temporal indexing method for task-oriented multi-modal scene data organization

   Bin Feng, Qing Zhu, Mingwei Liu, Yun Li, Junxiao Zhang, Xiao Fu, Yan Zhou, Maosu Li, Huagui He, and Weijun Yang

   ISPRS International Journal of Geo-Information, 2018

   Bib

   @article{feng2018efficient,
     title = {An efficient graph-based spatio-temporal indexing method for task-oriented multi-modal scene data organization},
     author = {Feng, Bin and Zhu, Qing and Liu, Mingwei and Li, Yun and Zhang, Junxiao and Fu, Xiao and Zhou, Yan and Li, Maosu and He, Huagui and Yang, Weijun},
     journal = {ISPRS International Journal of Geo-Information},
     volume = {7},
     number = {9},
     pages = {371},
     year = {2018},
     publisher = {MDPI},
   }

2023

1. 

   Towards fully automatic Scan-to-BIM: A prototype method integrating deep neural networks and architectonic grammar

   Yijie Wu, Maosu Li, and Fan Xue

   In Proceedings of the 2023 European Conference on Computing in Construction and the 40th International CIB W78 Conference, 2023

   Bib PDF

   @inproceedings{wu2023towards,
     title = {Towards fully automatic Scan-to-BIM: A prototype method integrating deep neural networks and architectonic grammar},
     author = {Wu, Yijie and Li, Maosu and Xue, Fan},
     booktitle = {Proceedings of the 2023 European Conference on Computing in Construction and the 40th International CIB W78 Conference},
     volume = {4},
     pages = {257},
     year = {2023},
     organization = {European Council on Computing in Construction},
   }

2. 

   Efficient assessment of window views in highrise, high-density urban areas using 3D color City Information Models

   Maosu Li*, Fan Xue, and Anthony GO Yeh

   In Proceedings of the 18th International Conference on Computational Urban Planning and Urban Management, 2023

   Bib PDF

   @inproceedings{li2023efficient,
     title = {Efficient assessment of window views in highrise, high-density urban areas using 3D color City Information Models},
     author = {Li*, Maosu and Xue, Fan and Yeh, Anthony GO},
     booktitle = {Proceedings of the 18th International Conference on Computational Urban Planning and Urban Management},
     pages = {1--11},
     year = {2023},
     address = {Montreal},
     publisher = {Open Source Framework},
   }

2021

1. 

   CIM-enabled quantitative view assessment in architectural design and space planning

   Vikrom Laovisutthichai, Maosu Li*, Fan Xue, Weisheng Lu, KL Tam, and Anthony GO Yeh

   In 38th International Symposium on Automation and Robotics in Construction (ISARC 2021), 2021

   Bib PDF Slides

   @inproceedings{laovisutthichai2021cim,
     title = {CIM-enabled quantitative view assessment in architectural design and space planning},
     author = {Laovisutthichai, Vikrom and Li*, Maosu and Xue, Fan and Lu, Weisheng and Tam, KL and Yeh, Anthony GO},
     booktitle = {38th International Symposium on Automation and Robotics in Construction (ISARC 2021)},
     volume = {10},
     year = {2021},
   }

2. 

   Classification of photo-realistic 3D window views in a high-density city: The case of Hong Kong

   Maosu Li*, Fan Xue, Anthony GO Yeh, and Weisheng Lu

   In Proceedings of the 25th International Symposium on Advancement of Construction Management and Real Estate, 2021

   Bib PDF

   @inproceedings{li2021classification,
     title = {Classification of photo-realistic 3D window views in a high-density city: The case of Hong Kong},
     author = {Li*, Maosu and Xue, Fan and Yeh, Anthony GO and Lu, Weisheng},
     booktitle = {Proceedings of the 25th International Symposium on Advancement of Construction Management and Real Estate},
     pages = {1339--1350},
     year = {2021},
     organization = {Springer},
   }

3. 

   Prospect of architectonic grammar reconstruction from dense 3D point clouds: Historical building information modeling (HBIM) of Guangdong cultural heritages

   Jing Zhang, Maosu Li, Wenjin Zhang, Yijie Wu, and Fan Xue

   In Proceedings of the 25th International Symposium on Advancement of Construction Management and Real Estate, 2021

   Bib PDF

   @inproceedings{zhang2021prospect,
     title = {Prospect of architectonic grammar reconstruction from dense 3D point clouds: Historical building information modeling (HBIM) of Guangdong cultural heritages},
     author = {Zhang, Jing and Li, Maosu and Zhang, Wenjin and Wu, Yijie and Xue, Fan},
     booktitle = {Proceedings of the 25th International Symposium on Advancement of Construction Management and Real Estate},
     pages = {1421--1431},
     year = {2021},
     organization = {Springer},
   }

2021

1. US Patent

   System and methods for quantifying and calculating window view openness indexes

   Anthony GO Yeh, Maosu Li, and Fan Xue

   Filing No.: 63/269,891, 2021

2019

1. CN Patent

   A scheduling method, device, and storage medium for scene data of natural resources

   Qing Zhu, Bin Feng, Meite Chen, Maosu Li, Yulin Ding, and Jun Zhu

   No.: CN110516119A, 2019