Hi, Iām GUO Zhiling š
Currently I am an Assistant Professor in the Department of Building Environment and Energy Engineering (BEEE) at The Hong Kong Polytechnic University (PolyU). Specializing in Spatiotemporal Data Analytics, I obtained my M.E. and Ph.D. degrees from The University of Tokyo, under the supervision of Prof. SHIBASAKI Ryosuke. Before joining PolyU, I worked as a data scientist at LocationMind Inc. in Japan, and later served as a postdoctoral fellow and Research Assistant Professor under the mentorship of Prof. YAN Jinyue Jerry at the International Centre of Urban Energy Nexus (UEX).
My research aims to transform urban energy infrastructures into digital, intelligent, and efficient systems that foster sustainable and resilient cities. To achieve this, I adopt an interdisciplinary approach that integrates Machine Learning, Geoscience, IoT, and Renewable Energy Technologies. 
Please feel free to contact me if you are interested in Collab., Visiting, RA, Post-doc, or pursuing a Ph.D.
š„ News
- 2025.06: š Our paper A Review of Blockchain Consensus Mechanisms for Peer-to-Peer Electricity Trading as been accepted by RSER
- 2025.06: š Our paper Advancing low-carbon smart cities: Leveraging UAVs-enabled low-altitude economy ... as been accepted by RSER
- 2025.05: š Our paper Spatiotemporal feature encoded DL method for rooftop PV potential assessment as been accepted by APEN
- 2025.02: š Our paper Global estimation of ... by integrating 3D footprint and spatio-temporal datasets as been accepted by Nexus
- 2025.02: š Our paper PV potential analysis through DL and remote sensing-based urban land classification as been accepted by APEN
- 2025.01: š Our paper Advancing building facade solar ... through AIoT, GIS, and meteorology synergy as been accepted by ADAPEN
- 2025.06: š Our paper Advancing low-carbon smart cities: Leveraging UAVs-enabled low-altitude economy ... as been accepted by RSER
- 2025.05: š Our paper Spatiotemporal feature encoded DL method for rooftop PV potential assessment as been accepted by APEN
- 2025.02: š Our paper Global estimation of ... by integrating 3D footprint and spatio-temporal datasets as been accepted by Nexus
- 2025.02: š Our paper PV potential analysis through DL and remote sensing-based urban land classification as been accepted by APEN
- 2025.01: š Our paper Advancing building facade solar ... through AIoT, GIS, and meteorology synergy as been accepted by ADAPEN
š Research Topics
Data Analytics
T1- Generative AI-Enhanced Heterogeneous Geospatial Database Development
Keywords: GenAI, LLM, Data Science
- The integration of Generative AI (GenAI) and Large Language Model (LLM) with heterogeneous geospatial data to address critical challenges in renewable energy systems. The goal is to build intelligent, multimodal geospatial databases that support data-driven decision-making across the renewable energy lifecycle.
Pattern Recognit.
T2- Global-Scale Mapping of Urban Renewable Energy Sources via Remote Sensing and Machine Learning
Keywords: GIS, DL, Pattern Recognition
- Explore a comprehensive framework that integrates multi-source remote sensing (RS) data with advanced machine learning algorithms to enable the global-scale mapping and analysis of urban renewable energy sources.
Sustainability Assessment
T3- Spatial-temporal Renewable Energy Evaluation and Validation for Sustainable Development
Keywords: 3D-urban, Low-altitude, Sustainability
- Develop a real-time and global-scale spatiotemporal evaluation framework for urban renewable energy by integrating 3D urban environment, climate datasets, and physical models.
Digital Symbiosis
T4- Renewable Energy Simulation and Digital Twin Toolkit Integration for Smart Energy Infrastructure.
Keywords: Digital Twin, Toolkits Dev.
- By combining environmental data, building-level modeling, and digital twin technologies, the study enables dynamic simulation and optimization of urban solar and wind systems. The digital symbiosis framework fosters interaction between physical assets and their digital counterparts, enhancing system adaptability, efficiency, and long-term resilience for future low-carbon cities.
Urban Resilience
T5- Intelligent Platform & Toolbox for Urban Infrastructure Resilience
Keywords: Resilience, Climate Change, Urban Infrastructure
- Synergy AI, real-time data, and digital twin technology to help cities prepare for and respond to natural disasters. By analyzing sensor and weather data, it predicts risks like floods or heatwaves, sends early warnings, and guides emergency actions. A resilience index and simulation tools also support long-term planning and cross-agency coordination.
š¼ Projects
- Jul. 2025 ā Jul. 2028: Fine-Grained Modeling of ... via Embodied Intelligence and Low Altitude Airspace Technologies, PI, PolyU (UGC)
- May. 2025 - Dec. 2027: Urban Resilience Enhancement for UREBTW ToolBox, Co-I, RICRI
- May. 2025 - Dec. 2027: IPT4U: Intelligent Platform & Toolbox for Urban Infrastructure Resilience, Co-I, RICRI
- Jan. 2025 ā Dec. 2027: ... Carbon Footprint and Environmental Benefits, Co-PI, MOST National Key R&D Program (å家ē§ęéØéé»ē ē¼čØå)
- Aug. 2024 ā Jul. 2027: Cutting-edge Solar Synergies Integrated with 3D Urban Environments, Co-I, RISUD
- May 2024 ā May 2026: Spatio-temporal Assessment of Urban Solar Energy Potential, PI, PolyU (UGC)
- May 2024 ā Apr. 2026: Using Big Mobility Data for Smart Charging/Discharging Planning and Adaptation, Co-I, RISE
- Sep. 2023 ā Dec. 2025: Research on Novel Passive Cooling Technology for Building Photovoltaics, Co-I, CSCI
- Apr. 2021 ā Mar. 2024: Post-disaster Recovery Monitoring via Multi-Source Remote Sensing and Deep Learning, PI, JSPS
- Apr. 2019 ā Sep. 2020: Automatic and Real-time Generalization of Catastrophe Maps Based on Deep Learning, PI, JSPS
- May. 2025 - Dec. 2027: Urban Resilience Enhancement for UREBTW ToolBox, Co-I, RICRI
- May. 2025 - Dec. 2027: IPT4U: Intelligent Platform & Toolbox for Urban Infrastructure Resilience, Co-I, RICRI
- Jan. 2025 ā Dec. 2027: ... Carbon Footprint and Environmental Benefits, Co-PI, MOST National Key R&D Program (å家ē§ęéØéé»ē ē¼čØå)
- Aug. 2024 ā Jul. 2027: Cutting-edge Solar Synergies Integrated with 3D Urban Environments, Co-I, RISUD
- May 2024 ā May 2026: Spatio-temporal Assessment of Urban Solar Energy Potential, PI, PolyU (UGC)
- May 2024 ā Apr. 2026: Using Big Mobility Data for Smart Charging/Discharging Planning and Adaptation, Co-I, RISE
- Sep. 2023 ā Dec. 2025: Research on Novel Passive Cooling Technology for Building Photovoltaics, Co-I, CSCI
- Apr. 2021 ā Mar. 2024: Post-disaster Recovery Monitoring via Multi-Source Remote Sensing and Deep Learning, PI, JSPS
- Apr. 2019 ā Sep. 2020: Automatic and Real-time Generalization of Catastrophe Maps Based on Deep Learning, PI, JSPS
š§© Services
- Assistant Editor: Nexus (Cell Press), Advances in Applied Energy, Energy Proceedings
- Director: DigiEnergy Lab, International Centre of Urban Energy Nexus (UEX)
- Guest Editor: Advances in Applied Energy, Applied Energy, Remote Sensing, Sensors, etc.
- Conf. Secretary & Session Chair: IGARSS, Nexus Forum, ICAE, CUE, etc.
- Teaching Subjects: Building Informatics, Applied Solar Energy in Buildings, Energy Efficient Buildings, etc.
- Director: DigiEnergy Lab, International Centre of Urban Energy Nexus (UEX)
- Guest Editor: Advances in Applied Energy, Applied Energy, Remote Sensing, Sensors, etc.
- Conf. Secretary & Session Chair: IGARSS, Nexus Forum, ICAE, CUE, etc.
- Teaching Subjects: Building Informatics, Applied Solar Energy in Buildings, Energy Efficient Buildings, etc.
š Publications
- Xu, J., Guo, Z.*, Yu, Q., Dong, K., Tan, H., Zhang, H., & Yan, J. (2025). Spatiotemporal feature encoded deep learning method for rooftop PV potential assessment. Applied Energy, 394, 126171.
- Tan, H., Guo, Z., Yan, J., Zhang, D., Chen, Y., & Zhang, H. (2025). Advancing low-carbon smart cities: Leveraging UAVs-enabled low-altitude economy principles and innovations. Renewable and Sustainable Energy Reviews, 222, 115942.
- Dong, K., Yu, Q., Guo, Z.*, Xu, J., Tan, H., Zhang, H., & Yan, J. (2025). Advancing building facade solar potential assessment through AIoT, GIS, and meteorology synergy. Advances in Applied Energy, 100212.
- Yu, Q., Dong, K., Guo, Z.*, Xu, J., Li, J., Tan, H., ... & Yan, J. (2025). Global estimation of building-integrated facade and rooftop photovoltaic potential by integrating 3D building footprint and spatio-temporal datasets. Nexus, 2(2).
- Tan, H., Guo, Z.*, ..., Yan, J. (2025). PV Potential Analysis Through Deep Learning and Remote Sensing-based Urban Land Classification. Applied Energy.
- Dong, K., Yu, Q., Guo, Z.*, ā¦, Yan, J. (2025). Advancing Building Facade Solar Potential Assessment through AIoT, GIS, and Meteorology Synergy. Advances in Applied Energy, 100212.
- Guo, Z., Lu, J., Chen, Q., ..., & Yan, J. (2024). TransPV: Refining photovoltaic panel detection accuracy through a vision transformer-based deep learning model. Applied Energy, 355, 122282.
- Tan, H., Guo, Z.*, Lin, Z., Chen, Y., Huang, D., Yuan, W., ... & Yan, J. (2024). General generative AI-based image augmentation method for robust rooftop PV segmentation. Applied Energy, 368, 123554.
- Song, C., Guo, Z.*, Liu, Z., ā¦, & Zhang, H. (2024). Application of photovoltaics on different types of land in China: Opportunities, status and challenges. Renewable and Sustainable Energy Reviews, 191, 114146.
- Guo, Z., Zhuang, Z., ā¦, Yan, J. (2023). Accurate and Generalizable Photovoltaic Panel Segmentation using Deep Learning for Imbalanced Datasets. Renewable Energy, 219, 119471.
- Deng, R., Guo, Z.*, ..., Liu, X. (2023). A Dual Spatial-Graph Refinement Network for Building Extraction from Aerial Images. IEEE Transactions on Geoscience and Remote Sensing.
- Tan, H., Guo, Z.*, Zhang, H., Chen, Q., Lin, Z., Chen, Y., & Yan, J. (2023). Enhancing PV panel segmentation in remote sensing images with constraint refinement modules. Applied Energy, 350, 121757.
- Liu, Z., Guo, Z.*, Song, C., Du, Y., Chen, Q., Chen, Y., & Zhang, H. (2023). Business model comparison of slum-based PV to realize low-cost and flexible power generation in city-level. Applied Energy, 344, 121220.
- Shang, W. L., Gao, Z., Daina, N., Zhang, H., Long, Y., Guo, Z.*, & Ochieng, W. Y. (2022). Benchmark analysis for robustness of multi-scale urban road networks under global disruptions. IEEE Transactions on Intelligent Transportation Systems.
- Guo, Z., Wu, G., Song, X., Yuan, W., Chen, Q., Zhang, H., ... & Shao, X. (2019). Super-resolution integrated building semantic segmentation for multi-source remote sensing imagery. IEEE Access, 7, 99381-99397.
- Guo, Z., Chen, Q., Wu, G., Xu, Y., Shibasaki, R., & Shao, X. (2017). Village building identification based on ensemble convolutional neural networks. Sensors, 17(11), 2487.
- Guo, Z., Shao, X., Xu, Y., Miyazaki, H., Ohira, W., & Shibasaki, R. (2016). Identification of village building via Google Earth images and supervised machine learning methods. Remote Sensing, 8(4), 271.
- Guo, Z., Wu, G., Shi, X., Sui, M., Song, X., Xu, Y., ... & Shibasaki, R. (2019, July). Geosr: A Computer Vision Package for Deep Learning Based Single-Frame Remote Sensing Imagery Super-Resolution. In IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium (pp. 3376-3379). IEEE.
- Guo, Z., Shengoku, H., Wu, G., Chen, Q., Yuan, W., Shi, X., ... & Shibasaki, R. (2018, July). Semantic segmentation for urban planning maps based on U-Net. In IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium (pp. 6187-6190). IEEE.
- Liu, Z., Wang, W., Chen, Y., Wang, L., Guo, Z., Yang, X., & Yan, J. (2023). Solar harvest: Enhancing carbon sequestration and energy efficiency in solar greenhouses with PVT and GSHP systems. Renewable Energy, 211, 112-125.
- Chen, Q., Li, X., Zhang, Z., Zhou, C., Guo, Z., Liu, Z., & Zhang, H. (2023). Remote sensing of photovoltaic scenarios: Techniques, applications and future directions. Applied Energy, 333, 120579.
- Liu, Z., Guo, Z., Chen, Q., Song, C., Shang, W., Yuan, M., & Zhang, H. (2022). A review of data-driven smart building-integrated photovoltaic systems: Challenges and objectives. Energy, 126082.
- Li, P., Zhang, H., Guo, Z., Lyu, S., Chen, J., Li, W., ... & Yan, J. (2021). Understanding rooftop PV panel semantic segmentation of satellite and aerial images for better using machine learning. Advances in applied energy, 4, 100057.
- Shi, X., Shao, X., Wu, G., Zhang, H., Guo, Z., Jiang, R., & Shibasaki, R. (2021, May). Social-DPF: Socially Acceptable Distribution Prediction of Futures. In AAAI (Vol. 35, No. 3, pp. 2550-2557).
- Wu, G., Zheng, Y., Guo, Z., Cai, Z., Shi, X., Ding, X., ... & Shibasaki, R. (2020, August). Learn to recover visible color for video surveillance in a day. In ECCV (pp. 495-511).
- Shi, X., Shao, X., Fan, Z., Jiang, R., Zhang, H., Guo, Z., ... & Shibasaki, R. (2020, April). Multimodal interaction-aware trajectory prediction in crowded space. In AAAI (Vol. 34, No. 07, pp. 11982-11989).
- Song, X., Guo, R., Xia, T., Guo, Z., Long, Y., Zhang, H., ... & Ryosuke, S. (2020). Mining urban sustainable performance: Millions of GPS data reveal high-emission travel attraction in Tokyo. Journal of Cleaner Production, 242, 118396.
- Wu, G., Guo, Z., Shi, X., Chen, Q., Xu, Y., Shibasaki, R., & Shao, X. (2018). A boundary regulated network for accurate roof segmentation and outline extraction. Remote Sensing, 10(8), 1195.
- Wu, G., Shao, X., Guo, Z., Chen, Q., Yuan, W., Shi, X., ... & Shibasaki, R. (2018). Automatic building segmentation of aerial imagery using multi-constraint fully convolutional networks. Remote Sensing, 10(3), 407.
- Tan, H., Guo, Z., Yan, J., Zhang, D., Chen, Y., & Zhang, H. (2025). Advancing low-carbon smart cities: Leveraging UAVs-enabled low-altitude economy principles and innovations. Renewable and Sustainable Energy Reviews, 222, 115942.
- Dong, K., Yu, Q., Guo, Z.*, Xu, J., Tan, H., Zhang, H., & Yan, J. (2025). Advancing building facade solar potential assessment through AIoT, GIS, and meteorology synergy. Advances in Applied Energy, 100212.
- Yu, Q., Dong, K., Guo, Z.*, Xu, J., Li, J., Tan, H., ... & Yan, J. (2025). Global estimation of building-integrated facade and rooftop photovoltaic potential by integrating 3D building footprint and spatio-temporal datasets. Nexus, 2(2).
- Tan, H., Guo, Z.*, ..., Yan, J. (2025). PV Potential Analysis Through Deep Learning and Remote Sensing-based Urban Land Classification. Applied Energy.
- Dong, K., Yu, Q., Guo, Z.*, ā¦, Yan, J. (2025). Advancing Building Facade Solar Potential Assessment through AIoT, GIS, and Meteorology Synergy. Advances in Applied Energy, 100212.
- Guo, Z., Lu, J., Chen, Q., ..., & Yan, J. (2024). TransPV: Refining photovoltaic panel detection accuracy through a vision transformer-based deep learning model. Applied Energy, 355, 122282.
- Tan, H., Guo, Z.*, Lin, Z., Chen, Y., Huang, D., Yuan, W., ... & Yan, J. (2024). General generative AI-based image augmentation method for robust rooftop PV segmentation. Applied Energy, 368, 123554.
- Song, C., Guo, Z.*, Liu, Z., ā¦, & Zhang, H. (2024). Application of photovoltaics on different types of land in China: Opportunities, status and challenges. Renewable and Sustainable Energy Reviews, 191, 114146.
- Guo, Z., Zhuang, Z., ā¦, Yan, J. (2023). Accurate and Generalizable Photovoltaic Panel Segmentation using Deep Learning for Imbalanced Datasets. Renewable Energy, 219, 119471.
- Deng, R., Guo, Z.*, ..., Liu, X. (2023). A Dual Spatial-Graph Refinement Network for Building Extraction from Aerial Images. IEEE Transactions on Geoscience and Remote Sensing.
- Tan, H., Guo, Z.*, Zhang, H., Chen, Q., Lin, Z., Chen, Y., & Yan, J. (2023). Enhancing PV panel segmentation in remote sensing images with constraint refinement modules. Applied Energy, 350, 121757.
- Liu, Z., Guo, Z.*, Song, C., Du, Y., Chen, Q., Chen, Y., & Zhang, H. (2023). Business model comparison of slum-based PV to realize low-cost and flexible power generation in city-level. Applied Energy, 344, 121220.
- Shang, W. L., Gao, Z., Daina, N., Zhang, H., Long, Y., Guo, Z.*, & Ochieng, W. Y. (2022). Benchmark analysis for robustness of multi-scale urban road networks under global disruptions. IEEE Transactions on Intelligent Transportation Systems.
- Guo, Z., Wu, G., Song, X., Yuan, W., Chen, Q., Zhang, H., ... & Shao, X. (2019). Super-resolution integrated building semantic segmentation for multi-source remote sensing imagery. IEEE Access, 7, 99381-99397.
- Guo, Z., Chen, Q., Wu, G., Xu, Y., Shibasaki, R., & Shao, X. (2017). Village building identification based on ensemble convolutional neural networks. Sensors, 17(11), 2487.
- Guo, Z., Shao, X., Xu, Y., Miyazaki, H., Ohira, W., & Shibasaki, R. (2016). Identification of village building via Google Earth images and supervised machine learning methods. Remote Sensing, 8(4), 271.
- Guo, Z., Wu, G., Shi, X., Sui, M., Song, X., Xu, Y., ... & Shibasaki, R. (2019, July). Geosr: A Computer Vision Package for Deep Learning Based Single-Frame Remote Sensing Imagery Super-Resolution. In IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium (pp. 3376-3379). IEEE.
- Guo, Z., Shengoku, H., Wu, G., Chen, Q., Yuan, W., Shi, X., ... & Shibasaki, R. (2018, July). Semantic segmentation for urban planning maps based on U-Net. In IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium (pp. 6187-6190). IEEE.
- Liu, Z., Wang, W., Chen, Y., Wang, L., Guo, Z., Yang, X., & Yan, J. (2023). Solar harvest: Enhancing carbon sequestration and energy efficiency in solar greenhouses with PVT and GSHP systems. Renewable Energy, 211, 112-125.
- Chen, Q., Li, X., Zhang, Z., Zhou, C., Guo, Z., Liu, Z., & Zhang, H. (2023). Remote sensing of photovoltaic scenarios: Techniques, applications and future directions. Applied Energy, 333, 120579.
- Liu, Z., Guo, Z., Chen, Q., Song, C., Shang, W., Yuan, M., & Zhang, H. (2022). A review of data-driven smart building-integrated photovoltaic systems: Challenges and objectives. Energy, 126082.
- Li, P., Zhang, H., Guo, Z., Lyu, S., Chen, J., Li, W., ... & Yan, J. (2021). Understanding rooftop PV panel semantic segmentation of satellite and aerial images for better using machine learning. Advances in applied energy, 4, 100057.
- Shi, X., Shao, X., Wu, G., Zhang, H., Guo, Z., Jiang, R., & Shibasaki, R. (2021, May). Social-DPF: Socially Acceptable Distribution Prediction of Futures. In AAAI (Vol. 35, No. 3, pp. 2550-2557).
- Wu, G., Zheng, Y., Guo, Z., Cai, Z., Shi, X., Ding, X., ... & Shibasaki, R. (2020, August). Learn to recover visible color for video surveillance in a day. In ECCV (pp. 495-511).
- Shi, X., Shao, X., Fan, Z., Jiang, R., Zhang, H., Guo, Z., ... & Shibasaki, R. (2020, April). Multimodal interaction-aware trajectory prediction in crowded space. In AAAI (Vol. 34, No. 07, pp. 11982-11989).
- Song, X., Guo, R., Xia, T., Guo, Z., Long, Y., Zhang, H., ... & Ryosuke, S. (2020). Mining urban sustainable performance: Millions of GPS data reveal high-emission travel attraction in Tokyo. Journal of Cleaner Production, 242, 118396.
- Wu, G., Guo, Z., Shi, X., Chen, Q., Xu, Y., Shibasaki, R., & Shao, X. (2018). A boundary regulated network for accurate roof segmentation and outline extraction. Remote Sensing, 10(8), 1195.
- Wu, G., Shao, X., Guo, Z., Chen, Q., Yuan, W., Shi, X., ... & Shibasaki, R. (2018). Automatic building segmentation of aerial imagery using multi-constraint fully convolutional networks. Remote Sensing, 10(3), 407.