Xingyu Xie
Xingyu Xie
Research Fellow, Department of Mathematics, NUS
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Cited by
Cited by
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
Adan: Adaptive nesterov momentum algorithm for faster optimizing deep models
X Xie, P Zhou, H Li, Z Lin, S Yan
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
Implicit block diagonal low-rank representation
X Xie, X Guo, G Liu, J Wang
IEEE Transactions on Image Processing 27 (1), 477-489, 2018
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
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
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
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
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 45 (3), 3604-3616, 2022
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
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
Editanything: Empowering unparalleled flexibility in image editing and generation
S Gao, Z Lin, X Xie, P Zhou, MM Cheng, S Yan
Proceedings of the 31st ACM International Conference on Multimedia, 9414-9416, 2023
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
Automatic modeling of urban facades from raw lidar point data
J Wang, Y Xu, O Remil, X Xie, N Ye, C Yi, M Wei
Computer Graphics Forum 35 (7), 269-278, 2016
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, 2022
Win: Weight-Decay-Integrated Nesterov Acceleration for Faster Network Training
P Zhou, X Xie, Z Lin, KC Toh, S Yan
Journal of Machine Learning Research 25 (83), 1-74, 2024
Matrix recovery with implicitly low-rank data
X Xie, J Wu, G Liu, J Wang
Neurocomputing 334, 219-226, 2019
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
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