CV
Education
- M.Sc. in Artificial Intelligence, Xiamen University, 2024 - Present
- B.Sc. in Computer Science and Technology, Xiamen University, 2020 - 2024
Research Experience
- 2024 - Present: Graduate Student
- ASC Laboratory, Xiamen University
- Research focus: 3D Computer Vision, Point Cloud Registration
- 2023 - 2024: Undergraduate Student
- ASC Laboratory, Xiamen University
- Research projects on cross-source and unsupervised point cloud registration
- Contributed to top-tier conference publications (AAAI, NeurIPS)
Skills
- Programming Languages: Python, C++
- Deep Learning Frameworks: PyTorch, Triton
- 3D Processing Libraries: Open3D, PCL (Point Cloud Library)
- Research Areas:
- Point Cloud Registration
- 3D Computer Vision
- Unsupervised Learning
- Cross-modal Learning
Publications
Xiong, Kezheng, et al. "Mining and Transferring Feature-Geometry Coherence for Unsupervised Point Cloud Registration." The Thirty-eighth Annual Conference on Neural Information Processing Systems (2024).
Xiong, Kezheng, et al. "SPEAL: Skeletal Prior Embedded Attention Learning for Cross-Source Point Cloud Registration." Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 38. No. 6. 2024.
Teaching
Datasets
- KITTI CrossSource Dataset: A large-scale cross-source point cloud dataset for benchmarking registration methods
Honors and Awards
Currently no honors or awards to display.