Ling Han

• National Scholarship, Ministry of Education of China, 2024
• National First Prize, China Undergraduate Electronic Design Contest, 2019
• National Second Prize, China Intelligent Vehicle Competition, 2019
• National Second Prize, China Undergraduate Mathematical Contest in Modelling

1. Han Ling, et al. (2022). Scale-Flow: Estimating 3D Motion from Video. In Proceedings of the 30th ACM International Conference on Multimedia (ACM MM), pp. 6530–6538.

2. Han Ling, et al. (2023). Learning Optical Expansion From Scale Matching. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5445–5454.

3. Han Ling, et al. (2024). ADFactory: An Effective Framework for Generalising Optical Flow with NeRF. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 20591–20600.

4. Han Ling, et al. (2025). OCSplats: Observation Completeness Quantification and Label Noise Separation in 3DGS. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV).

5. Han Ling, et al. (2026). SEA-Flow3D: Simplified, Efficient, and Accurate Scene Flow via Spatial Vector Sampling and Multi-scale Refinement. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

6. Zhongwen Wang, Han Ling, et al. (2026). ETGS: Explicit Thermodynamics Gaussian Splatting for Dynamic Thermal Reconstruction. In International Conference on Learning Representations (ICLR).

• Reviewer for IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE/CVF International Conference on Computer Vision (ICCV), IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) and ACM International Conference on Multimedia (ACM MM)