@article{xiong2026openscience,title={Toward open science in the AEC community: An ecosystem for sustainable digital assets sharing and reuse},author={Xiong, Ruoxin and Wang, Yanyu and Cai, Jing and Liu, Kexin and Zhu, Yimin and Tang, Pingbo and El-Gohary, Nora and Gibson Jr, Gerald E.},journal={Developments in the Built Environment},volume={26},pages={100909},year={2026},publisher={Elsevier},doi={https://doi.org/10.1016/j.dibe.2026.100909}}
Socio-technical assessment of generative AI integration in architecture, engineering, and construction (AEC) workflows: An empirical study using O* NET occupational taxonomy
Ruoxin Xiong , Yael Netser , Pingbo Tang , Beibei Li , and Joonsun Hwang
@article{xiong2026socio,title={Socio-technical assessment of generative AI integration in architecture, engineering, and construction (AEC) workflows: An empirical study using O* NET occupational taxonomy},author={Xiong, Ruoxin and Netser, Yael and Tang, Pingbo and Li, Beibei and Hwang, Joonsun},journal={Advanced Engineering Informatics},volume={71},pages={104392},year={2026},publisher={Elsevier},doi={https://doi.org/10.1016/j.aei.2026.104392}}
2024
Calibrating subjective data biases and model predictive uncertainties in machine learning-based thermal perception predictions
Ruoxin Xiong , Ying Shi , Haoming Jing , Wei Liang , Yorie Nakahira , and Pingbo Tang
@article{xiong2024calibrating,title={Calibrating subjective data biases and model predictive uncertainties in machine learning-based thermal perception predictions},author={Xiong, Ruoxin and Shi, Ying and Jing, Haoming and Liang, Wei and Nakahira, Yorie and Tang, Pingbo},journal={Building and Environment},volume={247},pages={111053},year={2024},publisher={Elsevier},doi={https://doi.org/10.1016/j.buildenv.2023.111053}}
2023
Fast and reliable map matching from large-scale noisy positioning records
Yanyu Wang , Ruoxin Xiong , Pingbo Tang , and Yongming Liu
@article{wang2023fast,title={Fast and reliable map matching from large-scale noisy positioning records},author={Wang, Yanyu and Xiong, Ruoxin and Tang, Pingbo and Liu, Yongming},journal={Journal of Computing in Civil Engineering},volume={37},number={1},pages={04022040},year={2023},publisher={American Society of Civil Engineers},doi={https://doi.org/10.1061/(ASCE)CP.1943-5487.0001054}}
Dynamic human systems risk prognosis and control of lifting operations during prefabricated building construction
Zhe Sun , Zhufu Zhu , Ruoxin Xiong , Pingbo Tang , and Zhansheng Liu
@article{sun2023dynamic,title={Dynamic human systems risk prognosis and control of lifting operations during prefabricated building construction},author={Sun, Zhe and Zhu, Zhufu and Xiong, Ruoxin and Tang, Pingbo and Liu, Zhansheng},journal={Developments in the Built Environment},pages={100143},year={2023},publisher={Elsevier},doi={https://doi.org/10.1016/j.dibe.2023.100143}}
Quantifying the reliability of defects located by bridge inspectors through human observation behavioral analysis
Pengkun Liu , Ying Shi , Ruoxin Xiong , and Pingbo Tang
@article{liu2023quantifying,title={Quantifying the reliability of defects located by bridge inspectors through human observation behavioral analysis},author={Liu, Pengkun and Shi, Ying and Xiong, Ruoxin and Tang, Pingbo},journal={Developments in the Built Environment},volume={14},pages={100167},year={2023},publisher={Elsevier},doi={https://doi.org/10.1016/j.dibe.2023.100167}}
Predicting separation errors of air traffic controllers through integrated sequence analysis of multimodal behaviour indicators
Ruoxin Xiong , Yanyu Wang , Pingbo Tang , Nancy J Cooke , Sarah V Ligda , Christopher S Lieber , and Yongming Liu
@article{xiong2023predicting,title={Predicting separation errors of air traffic controllers through integrated sequence analysis of multimodal behaviour indicators},author={Xiong, Ruoxin and Wang, Yanyu and Tang, Pingbo and Cooke, Nancy J and Ligda, Sarah V and Lieber, Christopher S and Liu, Yongming},journal={Advanced Engineering Informatics},volume={55},pages={101894},year={2023},publisher={Elsevier},doi={https://doi.org/10.1016/j.aei.2023.101894},}
2022
A semantic embedding methodology for motor vehicle crash records: A case study of traffic safety in Manhattan Borough of New York City
Yuxuan Wang , Ruoxin Xiong , Hao Yu , Jie Bao , and Zhao Yang
@article{wang2022semantic,title={A semantic embedding methodology for motor vehicle crash records: A case study of traffic safety in Manhattan Borough of New York City},author={Wang, Yuxuan and Xiong, Ruoxin and Yu, Hao and Bao, Jie and Yang, Zhao},journal={Journal of Transportation Safety \& Security},volume={14},number={11},pages={1913--1933},year={2022},publisher={Taylor \& Francis},doi={https://doi.org/10.1080/19439962.2021.1994681}}
2021
Pose guided anchoring for detecting proper use of personal protective equipment
@article{xiong2021pose,title={Pose guided anchoring for detecting proper use of personal protective equipment},author={Xiong, Ruoxin and Tang, Pingbo},volume={130},pages={103828},year={2021},publisher={Elsevier},doi={https://doi.org/10.1016/j.autcon.2021.103828},}
Machine learning using synthetic images for detecting dust emissions on construction sites
Ruoxin Xiong , and Pingbo Tang
Smart and Sustainable Built Environment. Invited paper from the CONVR 2020 , 2021
@article{xiong2021machine,title={Machine learning using synthetic images for detecting dust emissions on construction sites},author={Xiong, Ruoxin and Tang, Pingbo},journal={Smart and Sustainable Built Environment},volume={10},number={3},pages={487--503},year={2021},publisher={Emerald Publishing Limited},doi={https://doi.org/10.1108/SASBE-04-2021-0066},}
2019
Onsite video mining for construction hazards identification with visual relationships
Ruoxin Xiong , Yuanbin Song , Heng Li , and Yuxuan Wang
Widely-used video monitoring systems provide a large corpus of unstructured image data on construction sites. Although previous developed vision-based approaches can be used for hazards recognition in terms of detecting dangerous objects or unsafe operations, such detection capacity is often limited due to lack of semantic representation of visual relationships between/among the components or crews in the workplace. Accordingly, the formal representation of textural criteria for checking improper relationships should also be improved. In this regard, an Automated Hazards Identification System (AHIS) is developed to evaluate the operation descriptions generated from site videos against the safety guidelines extracted from the textual documents with the assistance of the ontology of construction safety. In particular, visual relationships are modeled as a connector between site components/operators. Moreover, both visual descriptions of site operations and semantic representations of safety guidelines are coded in the three-tuple format and then automatically converted into Horn clauses for reasoning out the potential risks. A preliminary implementation of the system was tested on two separate onsite video clips. The results showed that two types of crucial hazards, i.e., failure to wear a helmet and walking beneath the cane, were successfully identified with three rules from Safety Handbook for Construction Site Workers. In addition, the high-performance results of Recall@50 and Recall@100 demonstrated that the proposed visual relationship detection method is promising in enriching the semantic representation of operation facts extracted from site videos, which may lead to better automation in the detection of construction hazards.
@article{xiong2019onsite,title={Onsite video mining for construction hazards identification with visual relationships},author={Xiong, Ruoxin and Song, Yuanbin and Li, Heng and Wang, Yuxuan},journal={Advanced Engineering Informatics},volume={42},pages={100966},year={2019},publisher={Elsevier},doi={https://doi.org/10.1016/j.aei.2019.100966}}
Conference and Workshop Papers
Peer-reviewed conference and workshop papers, organized with venue badges for easier scanning.
@inproceedings{xiong2025enhancing,title={Enhancing Human-Machine Collaboration to Reduce Production Waste in Customized Building Component Manufacturing},author={Xiong, Ruoxin and Dong, Miaosi and Jing, Haoming and Nakahira, Yorie and Tang, Pingbo},booktitle={Proceedings of the 2025 ASCE International Conference on Computing in Civil Engineering},year={2025},doi={https://doi.org/10.1061/9780784486436.111},}
@inproceedings{xiong2024knowledge,title={Knowledge embedded human-machine adaptation for supporting efficient operations of building manufacturing systems},author={Xiong, Ruoxin and Dong, Miaosi and Jing, Haoming and Nakahira, Yorie and Tang, Pingbo},booktitle={Proceedings of the 2024 ASCE International Conference on Computing in Civil Engineering},year={2024},doi={https://doi.org/10.1061/9780784486122.010},}
@inproceedings{jahanbiglari2024customized,title={Customized implementation of advanced safety sensors for small motor carriers through vehicle inspection and crash data analytics},author={Jahanbiglari, Ava and Shi, Ying and Xiong, Ruoxin and Tang, Pingbo},booktitle={Proceedings of the 2024 ASCE International Conference on Computing in Civil Engineering},year={2024},doi={https://doi.org/10.1061/9780784486139.087},}
@inproceedings{dong2024explainable,title={Explainable production time and material waste prediction of customized building mechanical system components},author={Dong, Miaosi and Xiong, Ruoxin and Tang, Pingbo},booktitle={Proceedings of the 2024 ASCE International Conference on Computing in Civil Engineering},year={2024},doi={https://doi.org/10.1061/9780784486122.014},}
@inproceedings{wang2024enhancing,title={Enhancing the safety, sustainability, and efficiency of airport operations through data-driven trajectory-based simulation and optimization},author={Wang, Yanyu and Xiong, Ruoxin and Tang, Pingbo},booktitle={Proceedings of the 2024 ASCE International Conference on Computing in Civil Engineering},year={2024},doi={https://doi.org/10.1061/9780784486139.022},}
@inproceedings{dong2024joint,title={Joint maintenance and production scheduling for flexible modular building manufacturing lines under uncertain machinery deterioration},author={Dong, Miaosi and Tang, Pingbo and Xiong, Ruoxin},booktitle={Proceedings of the 2024 ASCE Construction Research Congress},year={2024},location={Ames, IA},doi={https://doi.org/10.1061/9780784485286.068},}
@inproceedings{xiong2023optimizing,title={Optimizing HVAC systems for energy efficiency and comfort: A scalable and robust multi-zone control approach with uncertainty considerations},author={Xiong, Ruoxin and Jing, Haoming and Li, Mengmou and Shi, Ying and Miki, Taya and Hatanaka, Takeshi and Nakahira, Yorie and Tang, Pingbo},booktitle={Proceedings of the ASCE International Conference on Computing in Civil Engineering},year={2023},location={Corvallis, OR},}
@inproceedings{xiong2022facilitating,title={Facilitating construction scene understanding knowledge sharing and reuse via lifelong site object detection},author={Xiong, Ruoxin and Zhu, Yuansheng and Wang, Yanyu and Liu, Pengkun and Tang, Pingbo},booktitle={European Conference on Computer Vision (ECCV), Computer Vision for Civil and Infrastructure Engineering Workshop},year={2022},location={Tel Aviv, Israel},doi={https://doi.org/10.1007/978-3-031-25082-8_15},}
Improving post-occupancy evaluation engagement using social robots
Wei Liang , Ruoxin Xiong , Pengkun Liu , Pingbo Tang , and Erica Cochran Hameen
In BuildSys ’22: Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation , Boston, MA, 2022
@inproceedings{liang2022improving,title={Improving post-occupancy evaluation engagement using social robots},author={Liang, Wei and Xiong, Ruoxin and Liu, Pengkun and Tang, Pingbo and Cochran Hameen, Erica},booktitle={BuildSys '22: Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation},year={2022},location={Boston, MA},doi={https://doi.org/10.1145/3563357.3564071},}
@inproceedings{liu2022sharing,title={Sharing construction safety inspection experiences and site-specific knowledge through XR-augmented visual assistance},author={Liu, Pengkun and Xing, Jinding and Xiong, Ruoxin and Tang, Pingbo},booktitle={International Conference on Robotics and Automation (ICRA), Future of Construction Workshop},year={2022},location={Philadelphia, PA},doi={https://doi.org/10.22260/ICRA2022/0008},}
@inproceedings{xiong2021human,title={Human reliability analysis and prediction for visual inspection in bridge maintenance},author={Xiong, Ruoxin and Liu, Pengkun and Tang, Pingbo},booktitle={Proceedings of the ASCE International Conference on Computing in Civil Engineering},year={2021},location={Orlando, FL},doi={https://doi.org/10.1061/9780784483893.032},}
@inproceedings{liu2021mining,title={Mining observation and cognitive behavior process patterns of bridge inspectors},author={Liu, Pengkun and Xiong, Ruoxin and Tang, Pingbo},booktitle={Proceedings of the ASCE International Conference on Computing in Civil Engineering},year={2021},location={Orlando, FL},doi={https://doi.org/10.1061/9780784483893.075},}
2019
WTC
Exploring spatio-temporal patterns of motor vehicle collisions with semantic transformation
Ruoxin Xiong , Yuxuan Wang , and Yuanbin Song
In World Transport Convention , Beijing, China, 2019
@inproceedings{xiong2019exploring,title={Exploring spatio-temporal patterns of motor vehicle collisions with semantic transformation},author={Xiong, Ruoxin and Wang, Yuxuan and Song, Yuanbin},booktitle={World Transport Convention},year={2019},location={Beijing, China},}
Posters and Presentations
Posters, talks, and presentation-only contributions.
2023
Poster
Integrating cognitive behavior diagnosis and interactive digital twins for personalized training in AEC education
Ruoxin Xiong , and Pingbo Tang
, Corvallis, ORAEC Education Poster Competition in conjunction with ASCE i3CE , 2023
@misc{xiong2023integrating,title={Integrating cognitive behavior diagnosis and interactive digital twins for personalized training in AEC education},author={Xiong, Ruoxin and Tang, Pingbo},year={2023},location={Corvallis, OR},note={Poster presentation, June 25-28, 2023},}
@misc{liu2023calibrating,title={Calibrating bridge element-level condition ratings through weighted inspection behaviour analysis},author={Liu, Pengkun and Shi, Ying and Xiong, Ruoxin and Tang, Pingbo},year={2023},location={Washington, DC},note={Presentation, January 7-11, 2023},}
@misc{yuan2023identifying,title={Identifying safety-critical heavy-duty vehicles in fleets with complementary vehicle inspection datasets through cross-database clustering analysis},author={Yuan, Chenyu and Shi, Ying and Xiong, Ruoxin and Tang, Pingbo},year={2023},location={Washington, DC},note={Presentation, January 7-11, 2023},}
Toward open science in the AEC community: An ecosystem for sustainable digital assets sharing and reuseDevelopments in the Built Environment, 2026
Pose guided anchoring for detecting proper use of personal protective equipment. More Information can be found here , 2021
Machine learning using synthetic images for detecting dust emissions on construction sitesSmart and Sustainable Built Environment. Invited paper from the CONVR 2020 , 2021
