About me

I am currently pursuing the Ph.D degree advised by A/Prof. Yue Wu with the School of Computer Science and Technology, MoE Key Lab of Collaborative Intelligence Systems, Xidian University. I was recommended for admission to the School of Computer Science and Technology at Xidian University to pursue a master’s degree in 2020. In 2022, I continued my studies as a successive postgraduate and doctoral program student.

🔬 Research Interests

Unsupervised/Self-supervised Learning.
Efficient 3D Computer Vision.
Low Overlapping 3D Rigid Point Cloud Registration.
Multimodal Learning for 3D Computer Vision.
Diffusion Model.

🏆 Awards

National Scholarship, 2024.
Excellent MindSpore Developers, 2023.
The First Prize at the 7th National Youth Artificial Intelligence Innovation and Entrepreneurship Conference, 2022.
National Scholarship, 2021.

📖 Selected Publications

Journal

TNNLS

⭐One-Nearest Neighborhood Guides Inlier Estimation for Unsupervised Point Cloud Registration
Yongzhe Yuan, Yue Wu, Maoguo Gong, Qiguang Miao, A. K. Qin, Wenping Ma
IEEE Transactions on Neural Networks and Learning Systems
Paper

TCSVT

⭐Learning Discriminative Features via Multi-Hierarchical Mutual Information for Unsupervised Point Cloud Registration
Yongzhe Yuan, Yue Wu, Mingyu Yue, Maoguo Gong, Xiaolong Fan, Wenping Ma, Qiguang Miao
IEEE Transactions on Circuits and Systems for Video Technology
Paper Code

TIM

⭐Learning Compact Transformation Based on Dual Quaternion for Point Cloud Registration
Yongzhe Yuan, Yue Wu, Jiayi Lei, Congying Hu, Maoguo Gong, Xiaolong Fan, Wenping Ma, Qiguang Miao
IEEE Transactions on Instrumentation and Measurement
Paper Code

TVCG

⭐EGST: Enhanced Geometric Structure Transformer for Point Cloud Registration
Yongzhe Yuan, Yue Wu, Xiaolong Fan, Maoguo Gong, Wenping Ma, Qiguang Miao
IEEE Transactions on Visualization and Computer Graphics (CCF A)
Paper Code Bibtex

ARXIV

⭐PCRDiffusion: Diffusion Probabilistic Models for Point Cloud Registration
Yongzhe Yuan, Yue Wu, Xiaolong Fan, Xiaoshui Huang, Maoguo Gong, Qiguang Miao
Arxiv
Paper

TNNLS

⭐Commonality Autoencoder: Learning Common Features for Change Detection from Heterogeneous Images
Yue Wu, Jiaheng Li, Yongzhe Yuan, AK Qin, Qiguang Miao, Maoguo Gong
IEEE Transactions on Neural Networks and Learning Systems
Paper Code Bibtex

Conference

CVPR

⭐Inlier Confidence Calibration for Point Cloud Registration
Yongzhe Yuan, Yue Wu, Xiaolong Fan, Maoguo Gong, Qiguang Miao, Wenping Ma
IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024 (CCF A)
Paper Code

ICML

⭐PointMC: Multi-instance Point Cloud Registration based on Maximal Cliques
Yue Wu, Xidao Hu, Yongzhe Yuan, Xiaolong Fan, Maoguo Gong, Hao Li, Mingyang Zhang, Qiguang Miao, Wenping Ma
International Conference on Machine Learning, 2024 (CCF A)
Paper Code