Generative DfX in high-rise modular building:

An expert-augmented cascade graph learning

and optimisation approach



1. Built performance

Zhou, Q., & Xue, F. *(2023). Pushing the boundaries of modular-integrated construction: A symmetric skeleton grammar-based multi-objective optimization of passive design for energy savings and daylight autonomy. Energy and Buildings, 296, 113417.   

Peng, Z., Lu, W.*, Hao, T., Tang, X., Huang, J., & Webster, C. (2023). Cost-aware generative design for urban ‘cool spots’: A Random Forest-Principal Component Analysis-augmented combinatorial optimization approach. Energy and Buildings, 295, 113317. (Also supported by the theme-based project) 

Lou, J., Wang, B., Yuan, Z., & Lu, W.* (2023). Willingness to pay for well-being housing attributes driven by design layout: Evidence from Hong Kong. Building and Environment, 251, 111227.

2. Morphology and styles

Zhang, Y., Peng, Z., Lu, W.*, & Webster, C. (2024). Profit-sensitive generative design for high-rise building morphologies: innovations in 3D form generation and cost-revenue assessment. Automation in Construction. Major revision.

3. Layout and spatial configuration

Lin, X., Chen, J., Lu, W.*, & Guo, H. (2024). An edge-weighted graph triumvirate to represent modular building layouts. Automation in Construction, 157, 105140.

Su, P., Chen, J., Hong, S., & Lu, W.* (2024). Floor plan graph learning for generative design of residential buildings: A discrete denoising diffusion model. Building Research & Information, 1-17.

Zhang, Y.*, Peng, Z., & Lu, W. (2024). Participatory space auto-encapsulation: Bridging human relationships to building typology with machine intelligence. In Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024. Accepted.

Lu, W., Lin, X.*, Su, P., & Guo, H. (2024). ModulePacking: A top-down generative design approach for modular key plans. Computing in Civil Engineering. Under review.

Su, P., Lin, X., Lu, W.*, Xiong, F., Peng, Z., & Lu, Y. (2024). Generative design for complex floorplans in high-rise residential buildings: A Monte Carlo tree search-based self-organizing multi-agent system (MCTS-MAS) solution. Expert Systems with Applications. Under review.

4. Façade

Wang, B., Li, M., Peng, Z., & Lu, W.* (2024). FaçadeGraph: A hierarchical attributed graph-based generative façade parsing approach for high-rise residential buildings. Automation in Construction. Major revision.

5. Others

Zheng, L., Lu, W.*, & Zhou, Q. (2023). Weather image-based short-term dense wind speed forecast with a ConvLSTM-LSTM deep learning model. Building and Environment, 239, 110446. (Also supported by the theme-based project)

Zheng, L., Lu, W.*, Wu, L., & Zhou, Q. (2022). A review of integration between BIM and CFD for building outdoor environment simulation. Building and Environment, 228, 109862. (Also supported by the theme-based project)




7/f, Knowles Building,

Faculty of Architecture,

The University of Hong Kong,

Pokfulam, HKSAR.

Email Us (Prof. Wilson Lu) (Dr. Frank Xue) (Dr. Junjie CHEN)

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