PUBLICATIONS
Ideas, methods, and published research.
Journal articles, conference contributions, and book chapters across geospatial AI, robotics, and environmental systems.
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Journal Articles
- Liao, H.-Y., et al. (2026). A Multi-City Benchmark Dataset for Individual Tree Detection in NAIP Aerial Imagery: Model Comparison and Geographic Transferability. In Progress.
- Liao, H.-Y., et al. (2026). Advanced Hedonic Price Model with Cultural Ecosystem Service Flows from a Large Vision-Language Model and MaxEnt: A One-Shot In-Context Learning Approach Within a Presence-Only Framework. In Progress.
- Liao, H.-Y., et al. (2026). Mapping Cultural Ecosystem Service Flows from Social Media Imagery with Vision–Language Models: A Zero-Shot CLIP Framework. In Progress. Preprint available on EcoEvoRxiv. doi.org/10.32942/X29S8C
- Zhao, C., Song, J., Dubeux, J. C. B., Grunwald, S., Bretas, I. L., Liao, H.-Y., et al. (2026). Spatiotemporal controls on soil organic carbon stocks in subtropical grazing lands: An uncertainty-aware digital soil mapping approach. Geoderma, 473, 118004. doi.org/10.1016/j.geoderma.2026.118004
- Chen, Y., Liao, H.-Y., Luo, Y., Behdad, S., and Hu, B. (2026). Human-robot collaboration for e-waste disassembly: Task modeling, allocation, and ergonomic assessment. Ergonomics. doi.org/10.1080/00140139.2026.2650455
- Song, J., Zhao, C., Oduor, K. T., Liao, H. Y., Tang, Z., Bretas, I. L., ... & Shao, W. (2025). Mapping invasive Opuntia stricta in Kenya’s Drylands using explainable machine learning with time-series remote sensing and geographic context. International Journal of Applied Earth Observation and Geoinformation, 144, 104867. doi.org/10.1016/j.jag.2025.104867
- Liao, H.-Y., Terrin, P., Petters, J. R., & Behdad, S. (2025). A Disassembly Scoring Framework for Human–Robot Collaboration Based on Robotic Capabilities. Journal of Mechanical Design, 147(6), 062002. doi.org/10.1115/1.4068476 DFMLC Best Paper Award
- Liao, H.-Y., Chen, Y., Hu, B., Liang, X., & Behdad, S. (2025). Forecasting the Range of Possible Human Hand Movement in Consumer Electronics Disassembly Using Machine Learning. Journal of Computing and Information Science in Engineering, 25(5), 051001. doi.org/10.1115/1.4067987
- Liao, H.-Y., Esmaeilian, B., & Behdad, S. (2024). Automated evaluation and rating of product repairability using artificial intelligence-based approaches. Journal of Manufacturing Science and Engineering, 146(2). doi.org/10.1115/1.4063561
- Chen, Y., Liao, H.-Y. (Co-first author), Behdad, S., Hu, B. (2023). Human Activity Recognition in an End-Of-Life Consumer Electronics Disassembly Task. Applied Ergonomics. doi.org/10.1016/j.apergo.2023.104090
- Liao, H.-Y., Chen, Y., Hu, B., & Behdad, S. (2022). Optimization-Based Disassembly Sequence Planning Under Uncertainty for Human–Robot Collaboration. Journal of Mechanical Design, 145(2), 022001. doi.org/10.1115/1.4055901
- Liao, H.-Y., Behdad, S. (2021). Markov Chain Optimization of Repair and Replacement Decisions of Medical Equipment. Resources, Conservation and Recycling, 105609. doi.org/10.1016/j.resconrec.2021.105609
- Liao, H.-Y., Cade, W., Behdad, S. (2021). Forecasting Repair and Maintenance Services of Medical Devices Using Support Vector Machine. Journal of Manufacturing Science and Engineering, 144(3), 031005. doi.org/10.1115/1.4051886
- Pan, T.-Y., Lin, H.-T., Liao, H.-Y. (2019). A Data-Driven Probabilistic Rainfall-Inundation Model for Flash-Flood Warnings. Water, 11, 2534. doi.org/10.3390/w11122534
- Liao, H.-Y., Pan, T.-Y., Chang, H.-K., Hsieh, C.-T., Lai, J.-S., Tan, Y.-C., and Su, M.-D. (2019). Using Tabu Search Adjusted with Urban Sewer Flood Simulation to Improve Pluvial Flood Warning Via Rainfall Thresholds. Water, 11, 348. doi.org/10.3390/w11020348
- Chen, C.-K., Chang, M.-J., Chang, H.-K., Liao, H.-Y., Cheng, Y.-F. (2019). Hourly Streamflow Forecasting for Agriculture Water Supply Using Artificial Neural Network. Journal of Taiwan Agricultural Engineering, 65(3). doi.org/10.29974/JTAE.201909_65(3).0006
- Liao, H.-Y., Pan, T.-Y., Tan, Y.-C., Lai, J.-S., Su, M.-D. (2018). Applying the Tabu Search to Optimize a Rainfall-Inundation Warning Threshold: Case Studies in Wenshan, Taipei City, and Xindian, New Taipei City. Journal of Taiwan Agricultural Engineering, 64(1). doi.org/10.29974/JTAE.201803_64(1).0002
Conference Proceedings (Peer-Reviewed Full Papers)
- Liao, H.-Y., C. Zhao, J. Song, and W. Shao. (2025). Mapping Cultural Ecosystem Services Using One-Shot In-Context Learning with Multimodal Large Language Models. In Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, pp. 1071-1074 doi.org/10.1145/3748636.3764178
- J. Song, C. Zhao, H.-Y. Liao, and W. Shao. (2025). FoundationSoil: Enhancing Soil Organic Carbon Mapping Using a Multi-Temporal Geospatial Foundation Model. In Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, pp. 1067-1070 doi.org/10.1145/3748636.3764177
- Liao, H.-Y., Terrin, P., Petters, J. R., & Behdad, S. (2024). A disassembly score for human-robot collaboration considering robots' capabilities. ASME IDETC-CIE 2024, Washington, DC, USA. doi.org/10.1115/DETC2024-143517
- Liao, H.-Y., Chen, Y., Hu, B., Liang, X., & Behdad, S. (2023). Forecasting the range of possible human hand movement in consumer electronics disassembly using machine learning. ASME MSEC 2023, New Brunswick, NJ, USA. doi.org/10.1115/MSEC2023-104792
- Liao, H.-Y., Zheng, M., Hu, B., Behdad, S. (2022). Human Hand Motion Prediction in Disassembly Operations. ASME IDETC-CIE 2022, St. Louis, MO, USA. doi.org/10.1115/DETC2022-89967
- Liao, H.-Y., Chen, Y., Hu, B., Behdad, S. (2022). Optimization-Based Disassembly Sequence Planning Under Uncertainty for Human-Robot Collaboration. ASME MSEC 2022, West Lafayette, IN, USA. doi.org/10.1115/MSEC2022-85383
- Liao, H.-Y., Cade, W., Behdad, S. (2021). Machine Learning to Predict Medical Devices Repair and Maintenance Needs. ASME IDETC-CIE 2021, Virtual. doi.org/10.1115/DETC2021-71333
- Hu, S., Zhang, X., Liao, H.-Y., Liang, X., Zheng, M., Behdad, S. (2021). Deep Learning and Machine Learning Techniques to Classify Electrical and Electronic Equipment. ASME IDETC-CIE 2021, Virtual. doi.org/10.1115/DETC2021-71403
- Liao, H.-Y., Cade, W., Behdad, S. (2021). Forecasting Repair and Maintenance Services of Medical Devices Using Support Vector Machine. ASME MSEC 2021, Virtual. doi.org/10.1115/MSEC2021-63966
Book Chapters
- Liao, H.-Y., Zhao, C. (2026). Ecosystem degradation. Data-Driven Earth Observation for Disaster Management. Elsevier, 303-325. doi.org/10.1016/B978-0-443-33803-8.00021-4
- Esmaeilian, B., Liao, H.-Y., & Behdad, S. (2025). Circular Economy through blockchain and Data Analytics. In Blockchain for Good, CRC Press, 170-188. doi.org/10.1201/9781003456346-10
Preprints
- Liao, H. Y., Zhao, C., Koylu, C., Cao, H., Qiu, J., Callaghan, C. T., ... & Shao, W. (2025). Mapping Cultural Ecosystem Service Flows from Social Media Imagery with Vision–Language Models: A Zero-Shot CLIP Framework. EcoEvoRxiv. doi.org/10.32942/X29S8C
- Gao, G., Liao, H. Y., & Hu, Z. (2024). Ai for equitable tennis training: Leveraging ai for equitable and accurate classification of tennis skill levels and training phases. arXiv, 2406.16987. Link
- Chen, Y., Liao, H.-Y., Behdad, S., & Hu, B. (2022). Task Recognition in Human-Robot Collaboration for Consumer Electronics Disassembly. SSRN Electronic Journal.
Patent Application
- Gao, G., Gao, Y., Wang, F., Liao, H.Y. and Liu, P. (2024). Machine-Learning Based Motion Analysis and Training Method and System. U.S. Patent Application 18/519,196. Link
Conference Presentations
- Liao, H.-Y., Zhao, C., Koylu, C., Cao, H., Qiu, J., Callaghan, C., Song, J., Shao, W. (2025). Mapping Cultural Ecosystem Service Flows from Crowdsourced Imagery: A Zero-Shot Learning Approach with the Vision–Language Model CLIP. American Geophysical Union (AGU) Fall Meeting, New Orleans, LA, USA, Dec 11–19, 2025.
- Zhao, C., Liao, H.-Y., Gogineni, D. C., Koylu, C. (2024). Mapping Flows of Nature-based Outdoor Recreational Services at Large-scale based on Crowdsourced Data and Multimodal Learning. A Community on Ecosystem Services (ACES) Conference, Austin, TX, USA, Dec 9–12, 2024.
- Liao, H.-Y., Zhao, C. (2024). Advancing Ecosystem Services Assessment Through Geospatial Artificial Intelligence (GeoAI): A Comprehensive Review and Future Directions. Symposium on Spatiotemporal Data Science, Virginia Tech Research Center, VA, USA, Jul 23–24, 2024. Link
- Liao, H.-Y., Behdad, S. (2023). An artificial intelligence-based framework to assess product repairability. Production and Operations Management Society (POMS), Orlando, FL, USA, May 25, 2023. Link
- Liao, H.-Y., Behdad, S. (2021). Deep Transfer Learning to Evaluate Product Repairability. INFORMS Annual Meeting, Anaheim, CA, USA, Oct 24–27, 2021.
- Liao, H.-Y., Cade, W., Behdad, S. (2020). Machine Learning, Frequency Analysis and Markov Chain Model for Analyzing Product Repair and Maintenance Service Decisions. ASME IDETC/CIE, Virtual technical presentation, 2020. Link
- Lin, Y.-J., Liao, H.-Y., Chang, H.-K., Shang, R.-K., Kuo, H.-C., Lai, J.-S., Tan, Y.-C. (2017). A Web-Based Tamsui River Flood Early-Warning System with Correction of Real-Time Water Stage Using Monitoring Data. American Geophysical Union (AGU) Fall Meeting, New Orleans, LA, USA, Dec 11–15, 2017. Link
- Liao, H.-Y., Pan, T.-Y., Su, M.-D., Hsieh, M.-C., Tan, Y.-C. (2016). Optimization of Rainfall Thresholds for A Flood Warning System to Taiwan Urban Areas During Storm Events. European Geosciences Union (EGU) General Assembly, Vienna, Austria, Apr 17–22, 2016. Link