Sheng Ao (敖晟)

I am an Assistant Professor working with Prof. Cheng Wang at School of Informatics, Xiamen University in Xiamen, Fujian, China. I received the Ph.D. degree from Sun Yat-Sen University (SYSU) in 2024, supervised by Prof. Yulan Guo. My research interests focus on 3D deep learning, particularly on 3D feature learning, registration and localization.

👨‍🎓 I am actively recruiting self-motivated master students.

I plan to admit 2 master students in 2025. I am not concerned about the level of your undergraduate institution.

• Key Qualities
  ✅ Strong self-motivation and growth mindset.
  ✅ Commitment to 50+ hours/week of research/study.
  ✅ Strict adherence to lab regulations and academic integrity.
  ✅ Basic programming skills (Python/C++/MATLAB) and mathematical modeling ability.

• Training Programs
  ✅ Guide step by step.
  ✅ Literature review → Research design → Paper writing → Conference presentations.
  ✅ Guaranteed 1+ CCF-A paper before graduation.

I am also recruiting several high-year undergraduate interns. The recruitment is aimed at students majoring in computer science, automation, mathematics, and related fields.

🌟Unique Advantages

🎉News

📗 Selected Publications (1️⃣ Equal contribution, 📧 Corresponding author)

	Progressive Correspondence Regenerator for Robust 3D Registration Guiyu Zhao1️⃣, Sheng Ao1️⃣, Ye Zhang, Kai Xu, Yulan Guo📧. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, 2025)
	DiffLO: Semantic-Aware LiDAR Odometry with Diffusion-Based Refinement Yongshu Huang, Chen Liu, Minghang Zhu, Sheng Ao📧, Chenglu Wen, Cheng Wang📧. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, 2025)
	U2Frame: A Unified and Unsupervised Learning Framework for LiDAR-based Loop Closing Yixin Zhang1️⃣, Sheng Ao1️⃣, Ye Zhang, Zhuo Song, Qingyong Hu, Tao Chang, Yulan Guo. IEEE International Conference on Robotics and Automation (ICRA, 2025)
	BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud Registration Sheng Ao, Qingyong Hu, Hanyun Wang, Kai Xu, Yulan Guo. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, 2023) [Paper][Project Page]
	You Only Train Once: Learning General and Distinctive 3D Local Descriptors Sheng Ao, Yulan Guo, Qingyong Hu, Bo Yang, Andrew Markham, Zengping Chen. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI, 2022) [Paper][Project Page]
	SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration Sheng Ao, Qingyong Hu, Bo Yang, Andrew Markham, Yulan Guo. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, 2021) [Paper][Project Page]

Please visit my google scholar for the full publication list.

🥉Academic Services

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