Xingyu Xie
Xingyu Xie
Ph.D. Candidate, School of AI, Peking University
Verified email at
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Mesh denoising guided by patch normal co-filtering via kernel low-rank recovery
M Wei, J Huang, X Xie, L Liu, J Wang, J Qin
IEEE transactions on visualization and computer graphics 25 (10), 2910-2926, 2018
Implicit block diagonal low-rank representation
X Xie, X Guo, G Liu, J Wang
IEEE Transactions on Image Processing 27 (1), 477-489, 2018
Differentiable Linearized ADMM
X Xie, J Wu, Z Zhong, G Liu, Z Lin
International Conference on Machine Learning, 6902--6911, 2019
Multi-patch collaborative point cloud denoising via low-rank recovery with graph constraint
H Chen, M Wei, Y Sun, X Xie, J Wang
IEEE transactions on visualization and computer graphics 26 (11), 3255-3270, 2019
t-Schatten- Norm for Low-Rank Tensor Recovery
H Kong, X Xie, Z Lin
IEEE Journal of Selected Topics in Signal Processing 12 (6), 1405-1419, 2018
Unified Graph and Low-rank Tensor Learning for Multi-view Clustering
J Wu, X Xie, L Nie, Z Lin, H Zha
Proceedings of the AAAI Conference on Artificial Intelligence, 6388-6395, 2020
Multi-view adversarially learned inference for cross-domain joint distribution matching
C Du, C Du, X Xie, C Zhang, H Wang
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
Surface reconstruction with data-driven exemplar priors
O Remil, Q Xie, X Xie, K Xu, J Wang
Computer-Aided Design 88, 31-41, 2017
Robust low-rank subspace segmentation with finite mixture noise
X Guo, X Xie, G Liu, M Wei, J Wang
Pattern Recognition 93, 55-67, 2019
NormalF-Net: Normal filtering neural network for feature-preserving mesh denoising
Z Li, Y Zhang, Y Feng, X Xie, Q Wang, M Wei, PA Heng
Computer-Aided Design, 102861, 2020
Matrix recovery with implicitly low-rank data
X Xie, J Wu, G Liu, J Wang
Neurocomputing 334, 219-226, 2019
Optimization Induced Equilibrium Networks: An Explicit Optimization Perspective for Understanding Equilibrium Models
X Xie, Q Wang, Z Ling, X Li, G Liu, Z Lin
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
Data‐Driven Sparse Priors of 3D Shapes
O Remil, Q Xie, X Xie, K Xu, J Wang
Computer Graphics Forum 36 (7), 63-72, 2017
Reconstruction Regularized Low-Rank Subspace Learning for Cross-Modal Retrieval
J Wu, X Xie, L Nie, Z Lin, H Zha
Pattern Recognition, 107813, 2021
Optimization inspired Multi-Branch Equilibrium Models
M Li, Y Wang, X Xie, Z Lin
International Conference on Learning Representations, 2021
Redundancy-resistant Generative Hashing for Image Retrieval.
C Du, X Xie, C Du, H Wang
IJCAI, 5017-5023, 2018
High Quality Segmentation for Ultra High-resolution Images
T Shen, Y Zhang, L Qi, J Kuen, X Xie, J Wu, Z Lin, J Jia
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Maximum-and-Concatenation Networks
X Xie, H Kong, J Wu, W Zhang, G Liu, Z Lin
International Conference on Machine Learning, 1358--1368, 2020
Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models
X Xie, P Zhou, H Li, Z Lin, S Yan
arXiv preprint arXiv:2208.06677, 2022
Global Convergence of Over-parameterized Deep Equilibrium Models
Z Ling, X Xie, Q Wang, Z Zhang, Z Lin
arXiv preprint arXiv:2205.13814, 2022
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