Yuexiong Ding
- Real-time prediction of TBM penetration rates using a transformer-based ensemble deep learning model. In: Automation in Construction, v. 168 (December 2024). (2024):
- Robust object detection in extreme construction conditions. In: Automation in Construction, v. 165 (September 2024). (2024):
- Safety compliance checking of construction behaviors using visual question answering. In: Automation in Construction, v. 144 (December 2022). (2022):
- Applications of natural language processing in construction. In: Automation in Construction, v. 136 (April 2022). (2022):
- A Lag-FLSTM deep learning network based on Bayesian Optimization for multi-sequential-variant PM2.5 prediction. In: Sustainable Cities and Society, v. 60 (September 2020). (2020):