1. 'Mutual Voting for Ranking 3D Correspondences', in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
2. '3D Registration with Maximal Cliques', in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
3. 'MAC: Maximal Cliques for 3D Registration', in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
4. 'Instance by instance: An iterative framework for multi-instance 3d registration', in IEEE/CAA Journal of Automatica Sinica, 2024
5. 'MAC++: Going Further with Maximal Cliques for 3D Registration', in Proceedings of the International Conference on 3D Vision, 2025
6. 'Unlocking Generalization Power in LiDAR Point Cloud Registration', in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
7. 'HyperGCT: A Dynamic Hyper-GNN-Learned Geometric Constraint for 3D Registration', in Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025
Education
Ph.D. candidate at the School of Computer Science, Northwestern Polytechnical University
Background
Currently pursuing a Ph.D. degree at the School of Computer Science, Northwestern Polytechnical University. Research interests include 3D feature matching and 3D point cloud registration.