MinweiZhao

@inproceedings{zhao2026urbanboundaries,
  author    = {Zhao, Minwei and Zhang, Weiming and Du, Jiawang and Liu, Qiming and Zhuang, Weiming and Nie, Pei and Wu, Cai},
  title     = {Urban Boundaries, Social Barriers: A Benchmark and Vision-Centric Framework for Mapping Gated Communities and Equity Implications},
  booktitle = {Computer Vision -- ECCV 2026},
  series    = {Lecture Notes in Computer Science},
  volume    = {17051},
  pages     = {414--432},
  publisher = {Springer},
  doi       = {10.1007/978-3-032-37356-4_23},
  url       = {https://link.springer.com/chapter/10.1007/978-3-032-37356-4_23},
  year      = {2026}
}

@article{zhao2026streetspace,
  author  = {Zhao, Minwei and Yang, Guosheng and Zhang, Zhuoni and Biljecki, Filip and Zu, Hanzhi and Wu, Cai},
  title   = {Street space as health infrastructure: diagnosing uneven street support for exercise through the spatial triad},
  journal = {Building and Environment},
  volume  = {304},
  pages   = {115095},
  doi     = {10.1016/j.buildenv.2026.115095},
  year    = {2026}
}

@article{zhao2026ustgnn,
  author  = {Zhao, Minwei and Šćepanović, Sanja and Law, Stephen and Obadić, Ivica and Wu, Cai and Quercia, Daniele},
  title   = {UST-GNN: A unified spatial--topological graph neural network framework for urban analytics demonstrated through a case study on urban health prediction},
  journal = {Computers, Environment and Urban Systems},
  volume  = {129},
  pages   = {102466},
  doi     = {10.1016/j.compenvurbsys.2026.102466},
  year    = {2026}
}

@article{zhao2026theoryinformed,
  author  = {Zhao, Minwei and Zhang, Dailuo and Shi, Zhecheng and Wu, Cai},
  title   = {Theory-informed and interpretable graph learning for urban commuting flows},
  journal = {Sustainable Cities and Society},
  volume  = {148},
  pages   = {107575},
  doi     = {10.1016/j.scs.2026.107575},
  year    = {2026}
}

@article{yang2026beyondsnapshots,
  author  = {Yang, Guosheng and Su, Yunlei and Zhao, Minwei and Li, Chaosu and Wu, Cai},
  title   = {Beyond single snapshots: Quantifying multi-scale heterogeneity from street-view imagery and what it reveals about perception},
  journal = {Cities},
  volume  = {175},
  pages   = {107227},
  doi     = {10.1016/j.cities.2026.107227},
  year    = {2026}
}

@article{zhang2026tarotsam3,
  author  = {Zhang, Weiming and Xiao, Dingwen and Guo, Songyue and Xiang, Guangyu and Wen, Shiqi and Zhao, Minwei and Chen, Lei and Wang, Lin},
  title   = {Tarot-SAM3: Training-free SAM3 for Any Referring Expression Segmentation},
  journal = {arXiv preprint arXiv:2604.07916},
  doi     = {10.48550/arXiv.2604.07916},
  note    = {Withdrawn on 4 August 2026; original version v1 remains available},
  year    = {2026}
}

@inproceedings{zhao2025gravitygnn,
  author    = {Zhao, Minwei and Wu, Cai},
  title     = {GravityGNN: A Novel Graph Neural Network for Modelling Home-to-Work Spatial Flows in England},
  booktitle = {Proceedings of the 19th International Conference on Computational Urban Planning and Urban Management},
  note      = {Best Early Career Paper Award; Paper 155},
  year      = {2025}
}

@article{wu2025urbanpoverty,
  author  = {Wu, Chao and Liang, Yongxiang and Zhao, Minwei and Teng, Mingda and Yue, Han and Ye, Yu},
  title   = {Perceiving the fine-scale urban poverty using street view images through a vision-language model},
  journal = {Sustainable Cities and Society},
  volume  = {123},
  pages   = {106267},
  doi     = {10.1016/j.scs.2025.106267},
  year    = {2025}
}

@article{wu2023nighttimevitality,
  author  = {Wu, Chao and Zhao, Minwei and Ye, Yu},
  title   = {Measuring urban nighttime vitality and its relationship with urban spatial structure: A data-driven approach},
  journal = {Environment and Planning B: Urban Analytics and City Science},
  volume  = {50},
  number  = {1},
  pages   = {130--145},
  doi     = {10.1177/23998083221108191},
  year    = {2023}
}