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Professor Bo HUANG

Chair Professor 

Room 10.21
391 77115
bohuang@hku.hk

HUANG Bo.png

Professor Bo Huang is a distinguished Chair Professor in our Department. Prior to joining us, he made significant contributions to the field of Geographic Information Science (GIScience) while working at The Chinese University of Hong Kong. His research interests include spatial statistics for land use modeling, image fusion for environmental monitoring, and spatial optimization for sustainable planning. Prof. Huang is renowned for developing the Geographically and Temporally Weighted Regression (GTWR) model, a widely adopted method for big spatiotemporal data analysis. He currently serves as an Associate Editor for the International Journal of Geographical Information Science and was the Editor-in-Chief of the three-volume book “Comprehensive Geographic Information Systems” (Elsevier, 2017). Among his numerous accolades, Professor Huang has received the Chang Jiang Chair Professorship and a Gold Medal at the International Exhibition of Inventions Geneva 2021.

Research Interests

  • Spatiotemporal data analytics

  • Satellite image fusion

  • Environmental monitoring

  • Integrated spatial planning

Courses

Profile

GEOG4007

Advanced Remote Sensing and GIS ^

12

credits

Annual; Full-year

Selected Publications

  2023  

  • Chen, J., Zeng, Y., Lau, A. K. H., Guo, C., Wei, X., Lin, C., Huang, B., & Lao, X. Q. (2023). Chronic exposure to ambient PM2.5/NO2 and respiratory health in school children: A prospective cohort study in Hong Kong. Ecotoxicology and Environmental Safety, 252, 114558. https://doi.org/10.1016/j.ecoenv.2023.114558
     

  • Chen, Y., Yao, S., Hu, Z., Huang, B., Miao, L., & Zhang, J. (2023). Built-Up Area Extraction Combing Densely Connected Dual-Attention Network and Multiscale Context. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 16, 5128-5143. https://doi.org/10.1109/JSTARS.2023.3281363
     

  • He, Q., Wang, W., Song, Y., Zhang, M., & Huang, B. (2023). Spatiotemporal high-resolution imputation modeling of aerosol optical depth for investigating its full-coverage variation in China from 2003 to 2020. Atmospheric Research, 281, 106481. https://doi.org/10.1016/j.atmosres.2022.106481
     

  • Huang, B., & Wu, S. (2023). Spatiotemporally Weighted Regression. In Spatiotemporal Analytics (pp. 145-173). CRC Press.
     

  • Li, K. K., & Huang, B. (2023). Covid-19 outbreak, ambiguity aversion, and macroeconomic expectations. China Economic Quarterly International, 3(2), 144-154. https://doi.org/10.1016/j.ceqi.2023.05.002
     

  • Lin, J., Huang, B., Kwan, M.-P., Chen, M., & Wang, Q. (2023). COVID-19 infection rate but not severity is associated with availability of greenness in the United States. Landscape and Urban Planning, 233, 104704. https://doi.org/10.1016/j.landurbplan.2023.104704
     

  • Liu, H., Huang, B., & Cai, J. (2023). Thick Cloud Removal Under Land Cover Changes Using Multisource Satellite Imagery and a Spatiotemporal Attention Network. IEEE Transactions on Geoscience and Remote Sensing, 61, 1-18. https://doi.org/10.1109/TGRS.2023.3236106
     

  • Liu, Y., Huang, B., Guo, H., & Liu, J. (2023). A big data approach to assess progress towards Sustainable Development Goals for cities of varying sizes. Communications Earth & Environment, 4(1), 66. https://doi.org/10.1038/s43247-023-00730-8
     

  • Luo, H., & Huang, B. (2023). A probabilistic framework with the gradient-based method for multi-objective land use optimization. International Journal of Geographical Information Science, 37(5), 1128-1156. https://doi.org/10.1080/13658816.2023.2178001
     

  • Luo, W., Zhou, Y., Liu, Z., Kang, W., He, S., Zhu, R., Li, R., & Huang, B. (2023). Cross-regional analysis of the association between human mobility and COVID-19 infection in Southeast Asia during the transitional period of “living with COVID-19”. Health & Place, 81, 103000. https://doi.org/10.1016/j.healthplace.2023.103000
     

  • Lv, J., Ren, C., Lu, X., & Huang, B. (2023). A Hybrid Harmony Search and Simulated Annealing Algorithm for Job Shop Scheduling Problem. 2023 8th International Conference on Integrated Circuits and Microsystems (ICICM).
     

  • Ma, X., Huang, Y., Zhang, X., Pun, M. O., & Huang, B. (2023). Cloud-EGAN: Rethinking CycleGAN From a Feature Enhancement Perspective for Cloud Removal by Combining CNN and Transformer. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 16, 4999-5012. https://doi.org/10.1109/JSTARS.2023.3280947
     

  • Qian, W., Yu, S., Nie, Z., Lu, X. S., Liu, H., & Huang, B. (2023, 25-27 Oct. 2023). Improved Hierarchical Attention Networks for Cyberbullying Detection via Social Media Data. 2023 IEEE International Conference on Networking, Sensing and Control (ICNSC). 
     

  • Qiao, M., & Huang, B. (2023). COVID-19 spread prediction using socio-demographic and mobility-related data. Cities, 138, 104360. https://doi.org/10.1016/j.cities.2023.104360
     

  • Wang, P., Wang, Y., Huang, B., Wang, L., Zhang, X., Leung, H., & Chanussot, J. (2023). Poissonian Blurred Hyperspectral Imagery Denoising Based on Variable Splitting and Penalty Technique. IEEE Transactions on Geoscience and Remote Sensing, 61, 1-14. https://doi.org/10.1109/TGRS.2023.3254505
     

  • Wang, P., Yao, H., Huang, B., Leung, H., & Liu, P. (2023). Multiresolution Analysis Pansharpening Based on Variation Factor for Multispectral and Panchromatic Images From Different Times. IEEE Transactions on Geoscience and Remote Sensing, 61, 1-17. https://doi.org/10.1109/TGRS.2023.3252001
     

  • Wu, H., Huang, B., Zheng, Z., Sun, R., Hu, D., & Zeng, Y. (2023). Urban anthropogenic heat index derived from satellite data. International Journal of Applied Earth Observation and Geoinformation, 118, 103261. https://doi.org/10.1016/j.jag.2023.103261
     

  • Yao, S., & Huang, B. (2023). Spatiotemporal Interpolation Using Graph Neural Network. Annals of the American Association of Geographers, 1-22. https://doi.org/10.1080/24694452.2023.2206469
     

  • Zhang, T., Huang, B., Yan, Y., Lin, Y., Wong, H., Wong, S. Y.-s., & Chung, R. Y.-N. (2023). Associations of residential greenness with unhealthy consumption behaviors: Evidence from high-density Hong Kong using street-view and conventional exposure metrics. International Journal of Hygiene and Environmental Health, 249, 114145. https://doi.org/10.1016/j.ijheh.2023.114145
     

  • Zhang, T., Huang, B., Yan, Y., Lin, Y., Wong, H., Wong, S. Y.-s., & Chung, R. Y.-N. (2023). Street-view and traditional greenness metrics with adults’ sitting time in high-density living in Hong Kong: Comparing associations, air pollution and noise roles, and population heterogeneity. Science of The Total Environment, 870, 161778. https://doi.org/10.1016/j.scitotenv.2023.161778
     

  • Zhang, Y., Wang, L., Dong, R., Deng, H., Fu, X., Huang, B., Niu, Z., & Chen, F. (2023). Understanding the effects of urban perceptions on housing rent using big data and machine learning. International Journal of Sustainable Development & World Ecology, 1-17. https://doi.org/10.1080/13504509.2023.2234332

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