Ting-Han
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Experience

2025.10
Joint Ph.D. Student @ UoG

2025.3
Joint Ph.D. Student @ SAIT

2023.9
Ph.D. Student @ SYSU

2020.9
M.Sc. Student @ JMU

2015.9
B.Sc. Student @ SXU

Hello, I'm Ting Han (韩汀)

The best way to predict the future is to create it.

I am currently a third year Ph.D. student in School of Geospatial Engineering and Science, Sun Yat-Sen University, majoring in Cartography and Geographic Information System, under the supervision of Professor Yiping Chen.

I am a joint Ph.D. student for Geospatial Artificial Intelligence in School of Geographical and Earth Sciences, University of Glasgow, under the guidance of Assistant Professor Meiliu Wu.

I am also a joint Ph.D. student for Sustainable Urban Development in Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, under the guidance of Associate Researcher Liqun Sun.

I graduated from the School of Computer Engineering at Jimei University for my master's degree in Information and Communication Engineering, where my advisor was Professor Guorong Cai.

Topics of Interest

My research interests focus on advancing geospatial artificial intelligence by integrating deep learning theories and methods into 3D point cloud processing for remote sensing applications. I aim to develop interpretable and generalizable AI models that can effectively analyze urban morphology, vegetation structure, and built environments from multi-source geospatial data. My work emphasizes the synergy of spatial cognition and data-driven intelligence, promoting sustainable development through urban analytics, environmental monitoring, and human-centered geoinformation services. I am particularly interested in how multi-modal learning and foundation models can enhance geospatial understanding at global and city scales.

Selected Publications

Vireo

Vireo: Leveraging Depth and Language for Open-Vocabulary Domain-Generalized Semantic Segmentation

Siyu Chen, Ting Han*, Chengzheng Fu, et al.

NeurIPS 2025 (CCF-A)

DepthForge

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation

Siyu Chen, Ting Han*, Changshe Zhang, et al.

ICCV 2025 (CCF-A)

Scene4U

Scene4U: Hierarchical Layered 3D Scene Reconstruction from Single Panoramic Image

Zilong Huang, Jun He, Ting Han*, et al.

CVPR 2025 (CCF-A)

HSPFormer

HSPFormer: Hierarchical Spatial Perception Transformer for Semantic Segmentation

Siyu Chen#, Ting Han#, Changshe Zhang, et al.

IEEE TITS 2025 (JCR Q1, IF=8.5, CCF-B)

ASGFormer

Point Cloud Semantic Segmentation with Adaptive Spatial Structure Graph Transformer

Ting Han, Yiping Chen*, Jin Ma, et al.

JAG 2024 (JCR Q1, IF=7.6)

Epurate

Epurate-Net: Efficient Progressive Uncertainty Refinement Analysis for Traffic Environment Urban Road Detection

Ting Han, Siyu Chen, Guorong Cai*, et al.

IEEE TITS 2024 (JCR Q1, IF=8.5, CCF-B)

Expertise

🔬 Research Areas

Computer Vision 3D Point Clouds Remote Sensing Urban Analytics Deep Learning

📌 Awards and Certifications

  1. First Prize in the 3D LiDAR Point Cloud Data Processing Competition at the 8th National LiDAR Conference, 2024. (1#)
  2. Best Paper Award at the 2nd Global Forum on Space Information for Sustainable Development, 2024. (1#)
  3. Best Paper Award at the 7th National Conference on LiDAR, 2023. (1#)
  4. Best Paper Award at the 8th National Conference on LiDAR, 2024. (2#)
  5. Best Paper Award at the 1st Global Forum on Space Information for Sustainable Development, 2023. (2#)
  6. Second Prize of Geographic Information Technology Progress Award, 2024. (12#)
  7. Honourable Mention at the 1st CVPR Workshop on Urban Scene Modeling: Where Vision Meets Photogrammetry and Graphics - Building3D Competition, 2024. (2#)
  8. Bronze Award at Application Track in Huawei Ascend AI Innovation Competition, Fujian, 2023. (2#)
  9. First-Class Graduate Academic Scholarship at Sun Yat-sen University, 2024.
  10. Outstanding Graduate at Jimei University, 2023.
  11. Second-Class Graduate Academic Scholarship at Jimei University, 2020-2022.
  12. Outstanding Graduate at Shanxi University, 2019.

✨ Miscellaneous Experience

  1. Teaching Assistant for Computer Vision and Pattern Recognition Course (2023-2025).
  2. Mangrove 3D Point Cloud Data Collection.
  3. Co-author of the Monograph "Spatio-temporal Emergency Response".
  4. Reviewer of IEEE T-CYB, IEEE T-II, IEEE T-ITS, IEEE T-GRS, IEEE T-CSVT, PR, JAG, IEEE IoT, IEEE RAL
  5. Reviewer of CVPR, ACM MM, ICRA, IROS, ICME