Academic Staff
Prof. SONG Jun (宋俊教授)
Assistant Professor
Member of the Smart Society Lab
Vice-dean of IRACE
Head of Geo-AI Lab in HKGAI
Founder of "港环通"
AI for Environment; Geo Intelligence; Urban Computing;
| Office: | AAB 1228 |
| Tel: | (852) 3411 7189 |
| Fax: | (852) 3411 5990 |
| Email: | junsong@hkbu.edu.hk |
EDUCATION
- 2017-2021, Ph.D., Imperial College London, UK
- 2010-2016, M.Sc. and B.Sc., Southwest Jiaotong University, China
TEACHING
- Geographical Information Systems
- China Geography
AWARDS
- China Youth Entrepreneurship Award (2017)
- Cloud-Guizhou Young Scientist Award (2018)
- AI Challenger Award (2018)
PROFESSIONAL AND COMMUNITY SERVICES
- 2022-2027 Beijing-Tianjin-Hebei Big Data Association, Environment Protection Committee
- 2022-2025 Yangtze River Delta Carbon Neutrality Strategic Development Committee
ACADEMIC SERVICES
- Associate Editor, IEEE Transactions on Emerging Topics in Computational Intelligence
RESEARCH INTERESTS
- AI for Geography
- AI for Environment
- AI for Smart Cities
2025.03– Present: "Provision of Services for Development of an AI-powered ApplicationforEnhancing the Environmental Impact Assessment Process" (Environmental ProtectionDepartment,PI, HKD 1,300,000
2024.11-- Present: "Research on High-precision Urban Carbon Concentration Spatial-temporalModeling and Carbon Footprint Analysis Based on UAV Monitoring" (GDSTC GeneralProgram), PI, CNY 100,000
2024.03–Present: "Online Real-NO2 Analyzer, Online Peroxyacetyl Nitrate Analyzer" (Equipment Matching Fund, HKBU), Co-PI, HKD 300,000
2022.10-- Present: "Optimizing Mobile Air Pollution Sensing Networks for Urban Environmental Management" (HKBU Start-up Fund), PI, HKD 200,000
2026
Song, J., Wu, X., Yao, J., Zhang, Q., Shang, C., Qian, Q., & Song, J. (2026). SPC: Self-supervised point cloud completion. Neural Networks, 194, 108107.
2025
Song, J.*, Ma, C., & Ran, M. (2025). Air GPT: Pioneering the Convergence of Conversational AI with Atmospheric Science. npj Climate and Atmospheric Science, 8, 179.
郭毅可, 宋俊 等. 中國電子信息工程科技發展研究: 生態環境大模型研究與應用發展[M]. 北京: 科學出版社, 2025.07. (新一代信息工程科技新質生產力技術叢書). ISBN 978-7-03-082817-0.
Wu, X., Xing, X., Yao, J., Qian, Q., & Song, J.* (2025). Scnet: Spectral convolutional networks for multivariate time series classification. Applied Intelligence, 55(6), 456.
Wu, X., Gao, D., Yao, J., Qian, Q., & Song, J. (2025). Optimization of single-track train schedules with cyclic operation strategies. Ebook: New Trends in Intelligent Software Methodologies, Tools and Techniques; IOS Press. vol. 411, pp. 197–206. (Proceedings of the 24th International Conference on New Trends in Intelligent Software Methodologies, Tools and Techniques).
Qin, Y., Qi, X., Hao, R., Sun, T., & Song, J. (2025). Efficient roadside vehicle line-pressing identification in intelligent transportation systems with mask-guided attention. Sustainability, 17(9), 3845.
Zhang, T., Chen, Y., Zhu, R., Wilson, J. P., Song, J., Chen, R., Liu, L., & Bao, L. (2025). An Intelligent Learning Reconfiguration Model Based on Optimized Transformer and Multi-Source Features (TMSF) for High-Precision InSAR DEM Void Filling. IEEE Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-18.
Wu, X., Wang, H., Yao, J., Qian, Q., & Song, J. (2025). NPGCL: Neighbor Enhancement and Embedding Perturbation with Graph Contrastive Learning for Recommendation. Applied Intelligence, 55(6), 1-17.
Wu, X., Zhu, Y., Zhang, H., Song, J., Yao, J., Zhu, D., ... & Guo, Y. (2025). OVST: online video stabilization with two-stage training transformer. Neural Computing and Applications, 1-21.
Liang, Y., Liu, T., He, J., Zhou, R., Song, J.*, & Liu, H. (2025). Revolutionizing Clinical Decision-Making: Deep Learning and Topic Modeling Approach for Pathway Optimization. Scientific Reports, 15, 28787.
Wan, Z., Gao, A.*, Yu, X., Chao, P., Song, J., & Ran, M. (2025). POI Recommendation via Multi-Objective Adversarial Imitation Learning. Proceedings of the AAAI Conference on Artificial Intelligence, vol. 39, no. 12, p.12676-12684.
Wu, X., Pi, M., Yao, J., Qian, Q., Song, J. (2025). DMGCL: Denoising Multi-view Graph Contrastive Learning for Robust Recommendation. In: Mahmud, M., et al. (eds) Neural Information Processing. ICONIP 2024. Lecture Notes in Computer Science, vol 15291. Springer, Singapore.
Zhu, Y., Wu, X., Yao, J., Qian, Q., Song, J., & Gao, S. (2025). SFNS: Spatial-frequency image noise suppression for low-power industrial cone-beam computed tomography. Applied Intelligence, 55(11), Article 807.
2024
Ma, C., Song, J.*, Ran, M., Wan, Z., Guo, Y., & Gao, M. (2024). Machine Learning-driven Spatiotemporal Analysis of Ozone Exposure and Health Risks in China. Journal of Geophysical Research: Atmospheres, 129, e2024JD041593.
Song, J.* (2024). Towards Space-Time Modelling of PM2.5 Inhalation Volume with ST-Exposure. Science of The Total Environment, 905, 174888.
Ma, C., Song, J.*, Xu, Y., Fan, H., Wu, X., & Sun, T. (2024). Vehicle-Based Machine Vision Approaches in Intelligent Connected System. IEEE Transactions on Intelligent Transportation Systems, 25(3), 2827-2836.
Wu, X., Liu, K., Wang, J., Yao, J., Deng, B., Lv, R., & Song, J. (2024). Candidate Evaluation with Multimodal Data-Driven for Recruitment. In International Conference on Pattern Recognition (pp. 81-96). Springer.
Wu, X., Cai, C., Wang, X., Wang, J., Yao, J., Qian, Q., & Song, J. (2024). STMAE: Spatial Temporal Masked Auto-Encoder for Traffic Forecasting. In International Conference on Pattern Recognition (pp. 209-223). Springer.
2023
Chai, J., Song, J.*, Fan, H., Xu, Y., Zhang, L., Guo, B., & Xu, Y. (2023). ST-Bikes: Predicting Travel-Behaviors of Sharing-Bikes Exploiting Urban Big Data. IEEE Transactions on Intelligent Transportation Systems, 24(7), 7676-7686.
Ma, C., Song, J.*, Xu, Y., Fan, H., Liu, X., Wu, X., Luo, Y., Sun, T., & Xie, J. (2023). Reducing Environment Exposure to COVID-19 by IoT Sensing and Computing with Deep Learning. Neural Computing and Applications, 35(36), 25097-25106.
Zhang, X., Zhou, C., Zhang, Y., Lu, X., Xiao, X., Wang, F., Song, J., Guo, Y., Leung, K. K. M., Cao, J., et al. (2023). Where to Place Methane Monitoring Sites in China to Better Assist Carbon Management. npj Climate and Atmospheric Science, 6(1), 32.
2022
Song, J.*, Fan H.W., Gao M., et al. (2022). Toward High-Performance Map-Recovery of Air Pollution Using Machine Learning. ACS ES&T Engineering, 2(6), 522-531.
Chai, J., Song, J.*, Xu, Y., Zhang, L., & Guo, B. (2022). Enhancing the Applicability of Satellite Remote Sensing for PM2.5 Estimation Using Machine Learning Models in China. Journal of Sensors, 2022(1), 7148682.
Song, J.*, Stettler, M. E. (2022). A Novel Multi-Pollutant Space-Time Learning Network for Air Pollution Inference. Science of the Total Environment, 811, 152254.
2021
Song, J.*, Han, K., Stettler, M. (2021). Deep-MAPS: Machine Learning based Mobile Air Pollution Sensing. IEEE Internet of Things Journal, 8(9), 7649-7660.