Pengkun Liu, Zhewen Yang, and Jing Huang, Ting-Kwei Wang*, The Effect of Augmented Reality Applied to Learning Process with Different Learning Styles in Structural Engineering Education, Engineering, Construction and Architectural Management. (Accept).
Jiepeng Liu, Zijin Qiu, Lufeng Wang, Pengkun Liu*, Guozhong Cheng, Yan Chen (2024). Intelligent Floor Plan Design of Modular High-Rise Residential Building Based on Graph-Constrained Generative Adversarial Networks, Automation in Construction, 159, 105264, https://doi.org/10.1016/j.autcon.2023.105264.
Pengkun Liu, Ying Shi, Ruoxin Xiong, Pingbo Tang* (2023). Quantifying the reliability of defects located by bridge inspectors through human behavioral analysis. Developments in the Built Environment, 14, 100167. https://doi.org/10.1016/j.dibe.2023.100167.
Pengkun Liu, Hongtuo Qi*, Jiepeng Liu, Liang Feng, Dongsheng Li, and Jingjing Guo (2023). Automated clash resolution for reinforcement steel design in precast concrete wall panels via generative adversarial network and reinforcement learning. Advanced Engineering Informatics, 58, 102131. https://doi.org/10.1016/j.aei.2023.102131.
Jingjing Guo, Qian Wang*, Pengkun Liu, Bo Xiao. Deep learning-based Surface Defect Detection of Civil Structures Using Images: A Critical Review from Data Perspective, Automation in Construction, 158, 105186, https://doi.org/10.1016/j.autcon.2023.105186.
Zesen Fan, Jiepeng Liu, Lufeng Wang*, Guozhong Cheng*, Minqing Liao, Pengkun Liu, and Y. Frank Chen (2023). Automated layout of modular high-rise residential buildings based on genetic algorithm. Automation in Construction, 152, 104943. https://doi.org/10.1016/j.autcon.2023.104943.
Xuhong Zhou, Xuesi Huang, Jiepeng Liu, Guozhong Cheng*, Lufeng Wang, Jiahao Hu, Pengkun Liu, and Y. Frank Chen (2023). Semi-automatic generation of shear wall structural models. Structures, vol. 51, pp. 42-54. https://doi.org/10.1016/j.istruc.2023.03.031.
Gibson Jr, George Edward, Pingbo Tang, Alper Yilmaz, Jinding Xing, Ronald Boring, Thomas Myers, Pengkun Liu, Sheehan Perera, and Boresh Navard Pouyan (2022). "Final Report: Intelligent Process Visualization through Nuclear Operation Process Modeling, Reasoning, and Object Detection from Field Videos". United States. https://doi.org/10.2172/1906971. https://www.osti.gov/servlets/purl/1906971.
Pengkun Liu, Hung-Lin Chi*, Xiao Li, and Jingjing Guo. (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
Jiepeng Liu, Pengkun Liu*, Liang Feng*, Wenbo Wu, Dongsheng Li, and Y. Frank Chen (2020). Automated clash resolution for reinforcement steel design in concrete frames via Q-learning and building information modeling. Automation in Construction, 112, 103062. https://doi.org/10.1016/j.autcon.2019.103062.
Guo, Jingjing Guo, Qian Wang*, Yiting Li, and Pengkun Liu (2020). Façade defects classification from imbalanced dataset using meta learning‐based convolutional neural network. Computer‐Aided Civil and Infrastructure Engineering, 35(12), 1403-1418. https://doi.org/10.1111/mice.12578
Dongsheng Li, Jiepeng Liu, Liang Feng, Yang Zhou, Pengkun Liu, and Y. Frank Chen (2020). Terrestrial laser scanning assisted flatness quality assessment for two different types of concrete surfaces. Measurement, 154, 107436. https://doi.org/10.1016/j.measurement.2019.107436.
Jiepeng Liu, Dongsheng Li, Liang Feng, Pengkun Liu, and Wenbo Wu. (2019). Towards automatic segmentation and recognition of multiple precast concrete elements in outdoor laser scan data. Remote Sensing, 11(11), 1383. https://doi.org/10.3390/rs11111383.
Pengkun Liu; Bowen Sun; Yanyu Wang and Pingbo Tang* (2023). Bridge Inspection Strategies Analysis through Human-Drone Interaction Games, In ASCE International Conference on Computing in Civil Engineering (pp. 597-605), Corvallis, OR, https://doi.org/10.1061/9780784485224.072.
Pengkun Liu; Jinding Xing; Yuanhao Li; Christopher Miller; and Pingbo Tang* (2023). Knowledge Sharing and Workforce Engagement Using Digital Twins-Based Simulations and Extended Reality for Process Operations, In ASCE International Conference on Computing in Civil Engineering (pp. 680-687), Corvallis, OR, https://doi.org/10.1061/9780784485231.081.
Jinding Xing, Pengkun Liu, Pingbo Tang, Ronald L. Boring, Thomas A. Ulrich, Roger Lew, and G. Edward Gibson Jr., Xing, J., Liu, P., Tang, P., Boring, R. L., Ulrich, T. A., Lew, R., & Edward Gibson Jr, G. (2023). Enhancing Nuclear Power Plant Operations: An Ontology for Conditional Tasks. In ASCE International Conference on Computing in Civil Engineering 2023 (pp. 597-604), https://doi.org/10.1061/9780784485231.071.
Pengkun Liu; Jinding Xing; Jinghua Xiao; Christopher Miller and Pingbo Tang* (2023). Non-Invasive 3D Imaging and Sensor Data-based Diagnosis of Water Treatment Plant Filter Integrity. ASCE Infrastructure Innovation & Adaptation for a Sustainable & Resilient World (INSPIRE), November 16-18, Arlington, Virginia. https://doi.org/10.1061/9780784485163.107.
Ruoxin Xiong, Yuansheng Zhu, Yanyu Wang, Pengkun Liu, and Pingbo Tang* (2022). Facilitating construction scene understanding knowledge sharing and reuse via lifelong site object detection. European Conference on Computer Vision (ECCV), Computer Vision for Civil and Infrastructure Engineering Workshop, Tel Aviv, Israel, 2022. https://doi.org/10.1007/978-3-031-25082-8_15. (Spotlight paper). [source code]
Wei Liang, Ruoxin Xiong, Pengkun Liu, Pingbo Tang, Erica Cochran Hameen* (2022). Improving post-occupancy evaluation engagement using social robots. BuildSys '22: Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Boston, MA. https://doi.org/10.1145/3563357.3564071. [Video]
Pengkun Liu, Jinding Xing, Ruoxin Xiong, and Pingbo Tang* (2022). Sharing construction safety inspection experiences and site-specific knowledge through XR-augmented visual assistance, International Conference on Robotics and Automation (ICRA), Future of Construction Workshop, Philadelphia, PA. https://doi.org/10.22260/ICRA2022/0008. [Video]
Jinding Xing, Pengkun Liu, Pingbo Tang, Alper Yilmaz, Ronald Laurids Boring, George Edward Gibson Jr (2022). Analyzing Operation Logs of Nuclear Power Plants for Safety and Efficiency Diagnosis of Real-Time Operations, Proceedings of the 29th EG-ICE International Workshop on Intelligent Computing in Engineering, Aarhus, Denmark, https://doi.org/10.7146/aul.455.c203.
Ruoxin Xiong, Pengkun Liu, and Pingbo Tang* (2021). Human reliability analysis and prediction for visual inspection in bridge maintenance, ASCE International Conference on Computing in Civil Engineering (i3CE2021), Orlando, FL. https://doi.org/10.1061/9780784483893.032. [source code]
Pengkun Liu, Ruoxin Xiong, and Pingbo Tang* (2021). Mining observation and cognitive behavior process patterns of bridge inspectors, ASCE International Conference on Computing in Civil Engineering (i3CE2021), Orlando, FL. https://doi.org/10.1061/9780784483893.075.
Pengkun Liu, Jiepeng Liu*, Liang Feng, Wenbo Wu, and Hao Lan (2020). Automated clash free rebar design in precast concrete exterior wall via generative adversarial network and multi-agent reinforcement learning. In Advances in Artificial Intelligence, Software and Systems Engineering: Proceedings of the AHFE 2019 International Conference on Human Factors in Artificial Intelligence and Social Computing, the AHFE International Conference on Human Factors, Software, Service and Systems Engineering, and the AHFE International Conference of Human Factors in Energy, July 24-28, 2019, Washington DC, USA 10 (pp. 546-558). Springer International Publishing. https://doi.org/10.1007/978-3-030-20454-9_54.
Xi Peng, Pengkun Liu, and Yunfeng Jin* (2020). The Age of Intelligence: Urban Design Thinking, Method Turning and Exploration. In Proceedings of the 2019 DigitalFUTURES: The 1st International Conference on Computational Design and Robotic Fabrication (CDRF 2019) 1 (pp. 275-284). Springer Singapore. https://doi.org/10.1007/978-981-13-8153-9_25.
Pengkun Liu, Hung-lin Chi*, Xiao Li, and Dongsheng Li (2020, March). Development of a fatigue detection and early warning system for crane operators: A preliminary study. In Construction Research Congress 2020 (pp. 106-115). Reston, VA: American Society of Civil Engineers. https://doi.org/10.1061/9780784482865.012.
Jiepeng Liu*, Pengkun Liu, Liang Feng, Wenbo Wu, and Hao Lan (2019). Automated clash resolution of rebar design in RC joints using multi-agent reinforcement learning and BIM. In ISARC. Proceedings of the International Symposium on Automation and Robotics in Construction (Vol. 36, pp. 921-928). IAARC Publications. https://doi.org/10.22260/ISARC2019/0123.