1.W. Gao, S. Lu, X. Zhang, Q. He, W. Huang, B. Lin, Impact of 3D modeling behavior patterns on the creativity of sustainable building design through process mining, Automation in Construction (SCI-JCR Q1). 150 (2023) 104804.https://doi.org/https://doi.org/10.1016/j.autcon.2023.104804.

2.W. Gao, X. Zhang, Q. He, B. Lin, W. Huang, Command prediction based on early 3D modeling design logs by deep neural networks, Automation in Construction (SCI-JCR Q1). 133 (2022) 104026.https://doi.org/10.1016/j.autcon.2021.104026.

3.W. Gao, C. Wu, W. Huang, B. Lin, X. Su, A data structure for studying 3D modeling design behavior based on event logs, Automation in Construction (SCI-JCR Q1). 132 (2021) 103967.https://doi.org/10.1016/j.autcon.2021.103967.

4.W. Gao, X. Zhang, W. Huang, S. Shi, Command2Vec: Feature Learning of 3D Modeling Behavior Sequence—A Case Study on “Spiral-stair,” in: Proceedings of the 2021 DigitalFUTURES, Springer Singapore, Singapore, 2022: pp. 45–54.https://doi.org/10.1007/978-981-16-5983-6_5.

5.W. Gao, B. Lin, Study of data and knowledge-driven, next-generation cognitive intelligent building design automation (In Chinese), Contemporary Architecture，2022, 30(6): 29-32

6.Y. Li,W. Gao, B. Lin, From type to network: a review of knowledge representation methods in architecture intelligence design, Architectural Intelligence. 1 (2022) 4.https://doi.org/10.1007/s44223-022-00006-9.

7.Q. Liu,W. Gao, Z. Huang, W. Huang, 3D modeling Logs Based Design Process Mining Method and Its Application for Design Education, in: S. Nazir (Ed.), Training, Education, and Learning Sciences. AHFE (2022) International Conference., AHFE Open Access, AHFE International, USA, 2022: p. vol 59.https://doi.org/10.54941/ahfe1002384.