הואקאן יינג

Intergration of AI into BIM
Representation learning for BIM
Robot-enabled digital twin systems
Digitalization of building and infrastructure

Eduaction
2020   Ph.D, Department of Civil Engineering, The University of Hong Kong
2015   M.Sc, Department of Construction Management, Huazhong University of Science and Technology (HUST)
2012   B.Sc, Department of Construction Management, Huazhong University of Science and Technology (HUST)

Academic Appointments
2025-Present   Assistant Professor, Faculty of Civil and Environmental Engineering, Technion
2020-2024   Postdoctoral Research Fellow, Faculty of Civil and Environmental Engineering, Technion

Honors and Awards
2022   Outstanding Reviewer, ASCE Journal of Computing in Civil Engineering
2020   Editor’s Choice, ASCE Journal of Computing in Civil Engineering
2015   Excellent Graduate (Master), HUST
2012   Excellent Graduate (Bachelor), HUST

1. Ying, H. and Sacks, R. (2024). From Automatic to Autonomous: A Large Language Model-driven Approach for Generic Building Compliance Checking. CIB W78 2024
2. Wang, Z., Ying, H., and Sacks, R. (2024). Two Fundamental Questions Concerning BIM Data Representation for Machine Learning. CIB W78 2024
3. Wong, M.O., Ying, H., Yin, M., Yi, X., Xiao, L., He, C., Tang, L. (2024). 3D Semantic Reconstruction-oriented Image Dataset for Building Element Segmentation. Automation in Construction, 165, p.105558.
4. Utkucu, D., Ying, H., Wang, Z., and Sacks, R. (2024). Ensemble Learning for Automated BIM Object Classification in the Building Performance Domain. Advanced Engineering Informatics, 61, p.102503.
5. Wang, Z., Ouyang, B., Sacks, R., Ying, H., and Bormann, A. (2024). A Framework for Generic Semantic Enrichment of BIM models. Journal of Computing in Civil Engineering 38 (1).
6. Ying, H., Sacks, R., and Degani. (2023). Synthetic Image Data Generation Using BIM and Computer Graphics for Building Scene Understanding. Automation in Construction, 154, p.105016.
7. Yin, M., Tang, L., Webster, C., Xu, S., Li, X. and Ying, H. (2023). An ontology-aided, natural language-based approach for multi-constraint BIM model querying. Journal of Building Engineering, p.107066.
8. Yin, M., Tang, L., Yi X., Webster, C., Ying, H., and Wen, Y. (2023). A Deep Natural Language Understanding-based Method for Ontology Learning of Project-specific Properties from Structured Building Information Models. Computer-aided Civil and Infrastructure Engineering.
9. Wong, M.O., Zhou, H., Ying, H., and Lee, S. (2022). A Voice-driven IMU-enabled BIM-based Multi-user System for Indoor Navigation in Fire Emergencies. Automation in Construction, p.104137.
10. Ying, H., Zhou, H., Degani, A., and Sacks, R. (2022). A Two-stage Recursive Ray Tracing Algorithm to Automatically Identify External Building Objects in Building Information Models. Computer-aided Civil and Infrastructure Engineering.
11. Ying, H. and Lee, S. (2021). A Rule-based System to Automatically Validate IFC Second-level Space Boundaries for Building Energy Analysis. Automation in Construction, 127, p.103724.
12. Ying, H. and Lee, S. (2021). Generating Second-level Space Boundaries from Large-scale IFC-compliant Building Information Models Using Multiple Geometry Representations. Automation in Construction, 126, p.103659.
13. Ying, H. and Lee, S. (2020). Automatic Detection of Geometric Errors in Space Boundaries of IFC-BIM Models Using Monte Carlo Ray Tracing Approach. ASCE Journal of Computing in Civil Engineering, 34(2), p.04019056.
14. Ying, H. and Lee, S. (2019). An Algorithm to Facet Curved Walls in IFC BIM for Building Energy Analysis. Automation in Construction, 103, pp.80-103.