Shoujun Jia

Research Interest

• Change tensors of 4D Riemann manifold surfaces
• Multiple-source point cloud generation and fusion
• Intelligent processing of high-dimensional point clouds
• Spatiotemporal understanding of topographic surfaces

Key Publications (all publications)

Jia, S.*, de Vugt, L., Mayr, A., Anders, K., Liu, C., Rutzinger, M., Change tensor: Estimating complex topographic changes from point clouds using Riemann manifold surfaces, ISPRS Journal of Photogrammetry and Remote Sensing, 2026(232). (DOI)

Jia, S.*, de Vugt, L., Mayr, A., Liu, C., Rutzinger, M., Location and orientation united graph comparison for topographic point cloud change estimation, ISPRS Journal of Photogrammetry and Remote Sensing, 2025(219). (DOI)

Jia, S., Liu, C.*, Wu, H., Guo, Z., Peng, X., Towards accurate correspondence between BIM and construction using high-dimensional point cloud feature tensor, Automation in Construction, 2024(162)105407. (DOI) (Key Scientific Article)

Jia, S., Liu, C.*, Yue, H., Huan, W., Zhou, X., Qi, Y., Semantic-instance-relationship understanding of urban environments using multisource aggregated point clouds, Building and Environment, 2025(281). (DOI)

Jia, S., Liu, C.*, Wu, H., Huan, W., Wang, S., Incremental registration towards large-scale heterogeneous point clouds by hierarchical graph matching, ISPRS Journal of Photogrammetry and Remote Sensing, 2024(213). (DOI)

Academic Awards

• Alexander von Humboldt Foundation Research Fellowship
• Chinese National Young Scientist Award for LiDAR
• Key Scientific Article awarded by Advances in Engineering
• National Outstanding Doctoral Dissertation Award for LiDAR of China
• Outstanding Doctoral Dissertation Award of Tongji University