Xuqiang Shao
- (2024): Integrated assessment of bioaerosol dispersion patterns and infection risk in a typical urban environment: Implications for urban biosecurity management. In: Sustainable Cities and Society, v. 109 (August 2024).
- (2024): A fast and multifactor evacuation method considering cumulative fatality rate based on deep reinforcement learning for urban toxic gas leakage. In: Sustainable Cities and Society, v. 103 (April 2024).
- (2023): Accurate and efficient urban wind prediction at city-scale with memory-scalable graph neural network. In: Sustainable Cities and Society, v. 99 (Dezember 2023).
- (2023): PIGNN-CFD: A physics-informed graph neural network for rapid predicting urban wind field defined on unstructured mesh. In: Building and Environment, v. 232 (März 2023).
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