About me

I am currently pursuing the Ph.D degree advised by 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.

🏆 Honors and Awards

入选首批中国科协青年人才托举工程博士生专项计划, 2025.
National Scholarship, 2024.
MindSpore Excellent Developers, 2023.
The First Prize, CAAI The 7th Chinese Youth Congress on Artifical Intelligence, 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 (ESI Highly Cited Paper)
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 (ESI Highly Cited Paper)
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 Bibtex

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

AAAI

⭐Where Precision Meets Efficiency: Transformation Diffusion Model for Point Cloud Registration
Yongzhe Yuan, Yue Wu, Xiaolong Fan, Maoguo Gong, Qiguang Miao, Wenping Ma
AAAI Conference on Artificial Intelligence, 2025 (CCF A)
Paper

AAAI

⭐MUCD: Unsupervised Point Cloud Change Detection via Masked Consistency
Yue Wu, Zhipeng Wang, Yongzhe Yuan, Maoguo Gong, Hao Li, Mingyang Zhang, Wenping Ma, Qiguang Miao
AAAI Conference on Artificial Intelligence, 2025 (CCF A)
Paper