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

Mining and Transferring Feature-Geometry Coherence for Unsupervised Point Cloud Registration

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).

SPEAL: Skeletal Prior Embedded Attention Learning for Cross-Source Point Cloud Registration

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

Data Structures (Teaching Assistant)

Datasets

• KITTI CrossSource Dataset: A large-scale cross-source point cloud dataset for benchmarking registration methods
  • Released as part of SPEAL work (AAAI 2024)
  • Available at: https://github.com/kezheng1204/KITTI-CrossSource/

Honors and Awards

Currently no honors or awards to display.