​​​​​

1. Wei, Y., & Li, X. (2025). Knowledge-enhanced ontology-to-vector for automated ontology concept enrichment in BIM. Journal of Industrial Information Integration, 100836. https://doi.org/10.1016/j.jii.2025.100836

2. Wei, Y., Li, X., & Petzold, F. (2025). Text-to-structure interpretation of user requests in BIM interaction. Automation in Construction, 174, 106119. https://doi.org/10.1016/j.autcon.2025.106119

3. Wu, C., Ding, W., Jin, Q., Jiang, J., Jiang, R., Xiao, Q., Liao, L., & Li, X. (2025). Retrieval augmented generation-driven information retrieval and question answering in construction management. Advanced Engineering Informatics, 65, 103158. https://doi.org/10.1016/j.aei.2025.103158

4. Liu, Z., Li, X., Gao, Z., Zhang, Y., Teng, Y., & Wu, C. (2025). A hybrid and intuitive work packaging approach with multiple task relations, general work package precedence, and BIM in modular construction. Journal of Construction Engineering and Management, 151(4), 04025019. https://doi.org/10.1061/JCEMD4.COENG-15856

5. Wang, J., Li, X., Chen, C., & Zhu, W. (2025). Proof of carbon reduction: A novel incentive mechanism in blockchain for carbon emissions reduction in construction. Building and Environment, 112684. https://doi.org/10.1016/j.buildenv.2025.112684

6. Zhang, Y., Li, X., Teng, Y., Shen, G. Q. P., & Bai, S. (2025). Multi-objective optimization of work package scheme problem to minimize project carbon emissions and cost. Computers & Industrial Engineering, 200, 110831. https://doi.org/10.1016/j.cie.2024.110831

​​

1. Wu, C., Li, X., Jiang, R., Liu, Z., Xie, F., Wang, J., ... & Yang, Z. (2024). Understanding carbon resilience under public health emergencies: a synthetic difference-in-differences approach.Scientific Reports,14(1), 20581.

2. Song, C., Li, X.*, Du, Q., Jiang, R., & Shen, Q. (2024). Hybrid pose adjustment (HyPA) robot design for prefabricated module control in modular construction assembly.Automation in Construction,168, 105798.3.

3. Zhang, Y., Li, X.*, Teng, Y., Bai, S., & Chen, Z. (2024). Two-list genetic algorithm for optimizing work package schemes to minimize project costs. Automation in Construction, 165, 105595. https://doi.org/10.1016/j.autcon.2024.105595

4. Zhang, Y., Li, X.*, Teng, Y., Shen, G. Q., & Bai, S. (2024). A heuristic rule adaptive selection approach for multi-work package project scheduling problem. Expert Systems with Applications, 238, 122092. https://doi.org/10.1016/j.eswa.2023.122092

5. Lu, W., Lou, J., Ababio, B. K., Zhong, R. Y., Bao, Z., Li, X., & Xue, F. (2024). Digital technologies for construction sustainability: Status quo, challenges, and future prospects. NPJ Materials Sustainability, 2(1), 10.  https://doi.org/10.1038/s44296-024-00010-2

6. Li, X.*, Zeng, J., Chen, C., Li, T., & Ma, J. (2024). Decentralized adaptive work package learning for personalized and privacy-preserving occupational health and safety monitoring in construction. Automation in Construction, 165, 105556. https://doi.org/10.1016/j.autcon.2024.105556​

7. Zhang, N., Li, X.*, & Gao, Y. (2024). A joint work package sizing and scheduling problem considering resource constraints with a look-ahead heterogeneous reinforcement learning method. International Journal of Production Research, 1-38. https://doi.org/10.1080/00207543.2024.2430457   ​​

​​

1. Li, X., Zeng, J., Chen, C.*, Chi, H. L., & Shen, G. Q. (2023). Smart work package learning for decentralized fatigue monitoring through facial images. Computer‐Aided Civil and Infrastructure Engineering.  https://doi.org/10.1111/mice.12891

2. Li, X., Wu, C.*, Yang, Z., Guo, Y., & Jiang, R. (2023). Knowledge graph-enabled adaptive work packaging approach in modular construction. Knowledge-Based Systems, 110115.  https://doi.org/10.1016/j.knosys.2022.110115  

3. Wu, C., Li, X., Jiang, R., Guo, Y., Wang, J., & Yang, Z. (2023). Graph‐based deep learning model for knowledge base completion in constraint management of construction projects. Computer‐Aided Civil and Infrastructure Engineering. https://doi.org/10.1111/mice.12904

4. Li, R., Chi, H. L., Peng, Z., Li, X., & Chan, A. P. (2023). Automatic tower crane layout planning system for high-rise building construction using generative adversarial network. Advanced Engineering Informatics, 58, 102202. https://doi.org/10.1016/j.aei.2023.102202

5. Liu, Z., Li, X.*, Wu, C., Ma, J., Yang, Z., & Guo, Y. (2023). Automatic work package sizing for cost-effective modular construction. Automation in Construction, 154, 105003. https://doi.org/10.1016/j.autcon.2023.105003

6. Jiang, F., Ma, J., Webster, C. J., Li, X., & Gan, V. J. (2023). Building layout generation using site-embedded GAN model. Automation in Construction, 151, 104888.https://doi.org/10.1016/j.autcon.2023.104888

7. Li, Z., Ma, J., Tan, Y., Guo, C., & Li, X. (2023). Combining physical approaches with deep learning techniques for urban building energy modeling: A comprehensive review and future research prospects. Building and Environment, 110960. https://doi.org/10.1016/j.buildenv.2023.110960

8. Chiang, D. C. I., Antwi-Afari, M. F., Anwer, S., Mohandes, S. R., & Li, X. (2023). Occupational stress in the construction industry: A bibliometric-qualitative analysis of literature and future research directions. International Journal of Building Pathology and Adaptation. https://doi.org/10.1108/IJBPA-08-2023-0114

9. 张亚宁, 白思俊, 陈志, 刘书含, & 李骁. (2023). 基于深度学习的RCPSP调度优先规则实时动态选择算法. 系统工程理论与实践, 43(7), 2142-2153. https://doi.org/10.12011/SETP2021-3267

​​

​​

1. Li, X*., Lu, W.S., Xue, F., Wu, L., Zhao, R., Lou, J.F., and Xu, J.Y.(2022). Blockchain-enabled IoT-BIM Platform for Supply Chain Management in Modular Construction, Journal of Construction Engineering and Management, 148(2), 04021195. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002229

2. Li, X., Wu, C.*, Xue, F., Yang, Z., Lou, J., & Lu, W.(2022) Ontology-based Mapping Approach for Automatic Work Packaging in Modular Construction, Automation in Construction, 134, 104083. https://doi.org/10.1016/j.autcon.2021.104083

3. Wu, L., Li, X.*, Zhao, R., Lu, W., Xu, J., & Xue, F. (2022). A blockchain-based model with an incentive mechanism for cross-border logistics supervision and data sharing in modular construction. Journal of Cleaner Production, 133460. https://doi.org/10.1016/j.jclepro.2022.133460

4. Wu, C., Li, X., Guo, Y., Wang, J., Ren, Z., Wang, M., & Yang, Z*. (2022). Natural language processing for smart construction: Current status and future directions. Automation in Construction, 134, 104059. https://doi.org/10.1016/j.autcon.2021.104059

5. Wu, L., Lu, W*., Zhao, R., Xu, J., Li, X., & Xue, F. (2022). Using Blockchain to Improve Information Sharing Accuracy in the Onsite Assembly of Modular Construction. Journal of Management in Engineering, 38(3), 04022014. https://doi.org/10.1061/(ASCE)ME.1943-5479.0001029

6. Lou, J., Lu, W., Xu, J., Li, X., & Wang, J. (2022). Nomenclature for offsite construction. Building Research & Information, 1-15. https://doi.org/10.1080/09613218.2022.2039586

7. Xu, J., Lu, W., Wu, L., Lou, J., & Li, X. (2022). Balancing privacy and occupational safety and health in construction: A blockchain-enabled P-OSH deployment framework. Safety Science, 154, 105860. https://doi.org/10.1016/j.ssci.2022.105860

​​

​​

1. Li, X., Wu, L., Zhao, R., Xue, F*., Lu, W.S. Two-layer Blockchain-based Supervision Model for Off-site Modular Housing Production (2021), Computers in Industry, 128, 103437. https://doi.org/10.1016/j.compind.2021.103437

2. Li, X., Chi, H. L., Lu, W., Xue, F., Zeng, J*., & Li, C. Z. (2021). Federated Transfer Learning-enabled Smart Work Packaging for Preserving Personal Image Information of Construction Workers. Automation in Construction, 128, 103738. https://doi.org/10.1016/j.autcon.2021.103738

3. Lu, W., Li, X.*, Xue, F., Zhao, R., Wu, L., & Yeh, A. G. (2021). Exploring smart construction objects as blockchain oracles in construction supply chain management. Automation in Construction, 129, 103816. https://doi.org/10.1016/j.autcon.2021.103816

4. Lu, W., Wu, L*., Zhao, R., Li, X., & Xue, F. (2021). Blockchain technology for governmental supervision of construction work: learning from digital currency electronic payment systems. Journal of Construction Engineering and Management, 147(10), 04021122. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002148

5. Liu, P., Chi, H. L*., Li, X., & Guo, J. (2021). Effects of dataset characteristics on the performance of fatigue detection for crane operators using hybrid deep neural networks. Automation in Construction, 132, 103901. https://doi.org/10.1016/j.autcon.2021.103901

6. Wu, L., Lu, W.S*., Xue, F., Li, X., Zhao, R (2021). Linking permissioned blockchain to the Internet of Things (IoT)-BIM platform for off-site production management in modular construction, Computers in Industry, 135, 103573. https://doi.org/10.1016/j.compind.2021.103573

7. Xue, F., Li, X.*, Lu, W., Webster, C. J., Chen, Z., & Lin, L. (2021). Big data-driven pedestrian analytics: Unsupervised clustering and relational query based on Tencent Street View photo-graphs. ISPRS International Journal of Geo-Information, 10(8), 561. https://doi.org/10.3390/ijgi10080561

​​

​​

1. Li, X., Chi, H. L*., Wu, P, & Shen, G.Q.,(2020). Smart work packaging -enabled Constraint-free Crane Path Re-planning for On-site Assembly Process of Prefabrication Housing Production. Advanced Engineering Informatics, 43, 101008. https://doi.org/10.1016/j.aei.2019.101008

2. Luo, L., Jin, X*., Shen, G. Q., Wang, Y., Liang, X., Li, X., & Li, C. Z. (2020). Supply Chain Management for Prefabricated Building Projects in Hong Kong. Journal of Management in Engineering, 36(2), 05020001. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000739

3. Xue, J., Shen, G. Q*., Yang, R. J., Wu, H., Li, X., Lin, X., & Xue, F. (2020). Mapping the Knowledge Domain of Stakeholder Perspective Studies in Construction Projects: A Bibliometric Approach. International Journal of Project Management, 38(6), 313-326. https://doi.org/10.1016/j.ijproman.2020.07.007

4. Wang, P., Wu, P., Chi, H. L*., & Li, X. (2020). Adopting Lean Thinking in Virtual Reality-based Personalized Operation Training Using Value Stream Mapping. Automation in Construction, 119, 103355. https://doi.org/10.1016/j.autcon.2020.103355

​​

​​

1. Li, X., Shen, G. Q., Wu, P*., & Teng, Y. (2019). Integrating Building Information Modeling and Prefabrication Housing Production. Automation in Construction, 100, 46-60. https://doi.org/10.1016/j.autcon.2018.12.024

2. Li, X., Shen, G. Q., Wu, P*., Xue, F., Chi, H. L., & Li, C. Z. (2019). Developing a Conceptual Framework of Smart Work Packaging for Constraints Management in Prefabrication Housing Production. Advanced Engineering Informatics, 42, 100938. https://doi.org/10.1016/j.aei.2019.100938

3. Li, X., Wu, C*△., Wu, P, Xiang, L, Shen, G.Q., Vick, S, & Li, CZ. (2019). Smart work packaging-enabled Constraints Modeling for the On-site Assembly Process of Prefabrication Housing Production, Journal of Cleaner Production, 239, 117991  https://doi.org/10.1016/j.jclepro.2019.117991

4. Teng, Y., Li, X., Wu, P*., & Wang, X. (2019). Using cooperative game theory to determine profit distribution in IPD projects. International Journal of Construction Management, 19(1), 32-45. https://doi.org/10.1080/15623599.2017.1358075

​

​​

1. Li, X., Yi, W., Chi, H. L., Wang, X*., & Chan, A. P. (2018). A Critical Review of Virtual and Augmented Reality (VR/AR) Applications in Construction Safety. Automation in Construction, 86, 150-162. https://doi.org/10.1016/j.autcon.2017.11.003

2. Li, X., Liu, X*., Li, C. Z., Hu, Z., Shen, G. Q., & Huang, Z. (2018). Foundation Pit Displacement Monitoring and Prediction Using Least Squares Support Vector Machines Based on Multi-point Measurement. Structural Health Monitoring, 18(3), 715-724. https://doi.org/10.1177/1475921718767935

3. Li, C. Z., Xue, F., Li, X.*, Hong, J., & Shen, G. Q. (2018). An Internet of Things-enabled BIM Platform for On-site Assembly Services in Prefabricated Construction. Automation in Construction, 89, 146-161. https://doi.org/10.1016/j.autcon.2018.01.001

4. Li, C. Z., Xu, X*., Shen, G. Q., Fan, C., Li, X., & Hong, J. (2018). A Model for Simulating Schedule Risks in Prefabrication Housing Production: A Case Study of Six-day Cycle Assembly Activities in Hong Kong. Journal of Cleaner Production, 185, 366-381. https://doi.org/10.1016/j.jclepro.2018.02.308

​​

​​

1. Li, X., Shen, G. Q., Wu, P*., Fan, H., Wu, H., & Teng, Y. (2017). RBL-PHP: Simulation of Lean Construction and Information Technologies for Prefabrication Housing Production. Journal of Management in Engineering, 34(2), 04017053. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000577

2. Li, X., Wu, P*., Shen, G. Q., Wang, X., & Teng, Y. (2017). Mapping the Knowledge Domains of Building Information Modeling (BIM): A Bibliometric Approach. Automation in Construction, 84, 195-206. https://doi.org/10.1016/j.autcon.2017.09.011  

3. Liu, X., Wang, X*., Wright, G., Cheng, J. C., Li, X., & Liu, R. (2017). A State-of-the-Art Review on the Integration of Building Information Modeling (BIM) and Geographic Information System (GIS). ISPRS International Journal of Geo-Information, 6(2), 53. https://doi.org/10.3390/ijgi6020053

4. Wu, C., Xu, B., Mao, C*., & Li, X. (2017). Overview of BIM Maturity Measurement Tools. Journal of Information Technology in Construction (ITcon), 22(3), 34-62. https://itcon.org/papers/2017_03-ITcon-Wu

​​

​​

1. Zhang, Y., Li, X., Teng, Y., Shen, G. Q. P., & Bai, S. (2025). Unlocking large language models for project scheduling. ICCREM 2024, 562–571.

2. Zhu, W., & Li, X. (2025). A blockchained work package system for progress payment and delay claims. ICCREM 2024, 380–392.

3. Dong, Q., Li, X., Chen, T., & Wu, C. (2025). A KG-LLM-based product2inspection mapping approach for module prefabrication. ICCREM 2024, 692–703.

4. Zhang, Y., Yue, Teng, Y., & Li, X., (2024). Tabu search-based multi-objective optimization of work package schemes to minimize project costs and carbon emissions. In International conference on construction engineering and project management (pp. 823-830). Korea Institute of Construction Engineering and Management.

5. Zhang, N., & Li, X. (2024, July). Modeling and Analysis of Joint Work Package Sizing and Project Scheduling considering Resource Constraints. In EC3 Conference 2024 (Vol. 5, pp. 0-0). European Council on Computing in Construction.

6. Wei, Y., & Li, X*. (2024). Graph-augmented Text-based Floorplan Generation. In 2024 IEEE International Conference on Automation in Manufacturing, Transportation and Logistics. 

7. Jiang, R., & Li, X.* (2024). Low center-of-gravity movement robotic arm with kinematic optimization algorithm for on-site construction. Proceedings of the 41st International Symposium on Automation and Robotics in Construction, 185-192. https://doi.org/10.22260/isarc2024/0025

8. Wang, J., & Li, X*. (2023). A Novel Incentive Mechanism for Blockchain-based Carbon Emission Reduction in Construction. Construction Blockchain Conference 2023 Blockchain & IoT. Hong Kong

9. Zhang, Y., Li, X*., Teng, Y., & Shen, Q.P. & Bai, S.J. (2023, August). A reinforcement learning framework for maximizing the net present value of stochastic multi-work packages project scheduling problem. In International Symposium on Advancement of Construction Management and Real Estate. Singapore: Springer Nature Singapore.

10. Wei, Y.Y, Li, X*., Wu, C., & Zahedi, A., Guo, Y & Yang, Z. (2023, August). Generation for Configuration: A Conceptual Paradigm of Natural Language-Based Configurator for Modular Buildings with ChatGPT. In International Symposium on Advancement of Construction Management and Real Estate. Singapore: Springer Nature Singapore.

11. Ma, X., Mao, C., Li, X., & Wu, C. (2022, December). How Can Robot Replacement Be Achieved?–Technology Development Direction for Automatic Construction Robot. In International Symposium on Advancement of Construction Management and Real Estate (pp. 173-188). Singapore: Springer Nature Singapore.

12. Zhang, Y., Li, X.*, Wu, C., & Chen, Z. (2022, December). A Double Deep Q-Network-Enabled Two-Layer Adaptive Work Package Scheduling Approach. In International Symposium on Advancement of Construction Management and Real Estate (pp. 1027-1041). Singapore: Springer Nature Singapore.

13. Li, X., Wu, C., Lu, W.S., Xue, F., (2021). Latent Dirichlet Allocation-based Approach for Automatically Mapping Components to Tasks in Modular Construction. In Proceedings of the 24th International Symposium on Advancement of Construction Management and Real Estate. Springer, Beijing.

14. Liu, P., Chi, H. L., Li, X., & Li, D. (2020, November). Development of a Fatigue Detection and Early Warning System for Crane Operators: A Preliminary Study. In Construction Research Congress 2020: Computer Applications (pp. 106-115). Reston, VA: American Society of Civil Engineers.

15. Du, Q., Chi, H. L., Li, X., & Shen, G. Q. (2020, November). Prioritizing Operational Considerations of Crane Operator Training for Modular Integrated Construction. In Construction Research Congress 2020: Safety, Workforce, and Education (pp. 743-752). Reston, VA: American Society of Civil Engineers.

16. Li, X., Chi, H. L., & Shen, G. Q. P. Constraint-free crane path re-planning. Proceedings of the CIB World Building Congress 2019: Constructing Smart Cities, the Hong Kong Polytechnic University, Hong Kong, 17-21 June 2019, p. [694-704] Best Student Presentation Award

17. Li, X., Chi, H. L., Zhang, W., & Shen, G. Q. (2019). Monitoring and Alerting of Crane Operator Fatigue Using Hybrid Deep Neural Networks in the Prefabricated Products Assembly Process. In ISARC. Proceedings of the International Symposium on Automation and Robotics in Construction (Vol. 36, pp. 680-687). IAARC Publications. 

18. Li, X., Shen, Q.P., Luo, L., Xue, F., and Chi, H.L., 2018. Smart Work Packages for Constraints Management in Modular Integrated Construction. International Conference on Construction Applications of Virtual Reality. Auckland, New Zealand.

​

​​

1. Li, X., Song, C., Du, Q, Shen, Q.P. A hoisting mechanism for active payload pose adjustment. CN 2023118710216.

2. Song, C., Du, Q, Li, X., Shen, Q.P. A control system for active payload pose adjustment. CN 2023118731725.

3. Li, X., Wang, S.J., Wu, C.K., Song, C., Du, Q. A stable hoisting device, method, electronic equipment, and storage medium, CN 2023108112752.

4. Li, X., Wang, S.J., Wu, C.K., Du, Q., Song, C. An automated installation method for prefabricated modules based on collaborative robotic arms, CN 2023108114086.

5. Teng, Y., Li, X., Wu, C. An evaluation method, device, equipment, and medium for a carbon emission control policy. CN 2023108133674.

6. Teng, Y., Li, X., Wu, C. A prediction method, device, equipment, and medium for carbon emission. CN 2023108133674.

​​

​​

1. Li, Z.D, Hong, J.K., Li, X., & Chen, Z. Digital Transformation in Prefabricated Construction (2021), ISBN: 978-7-112-25491-0 China Architecture & Building Press.

2. Xu, J.Y., Lu, W.S., & Li, X. BIM, Smart Construction Objects (SCOs) and Pervasive Technologies Integration. Research Companion on Building Information Modeling

3. Wei, Y.Y, Li, X., & Petzold, F.  Unlocking the Power of Language Models for Smart Configuration in the AEC Domain. Handbook of Smart Built Environment.

4. Wang, J & Li, X. Digital Built Asset Management: From Theories to Applications, Chapter 6 Environment, Health, and Safety Section. Edward Elgar.

5. Wei, Y., Li, X., Wu, C., & Frank, P. (2025). Unlocking the power of language models for smart configuration in the AEC domain using spoken language understanding. In Routledge Handbook of Smart Built Environment (p. 19).

​​