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
91 2020 Implicit block diagonal low-rank representation X Xie, X Guo, G Liu, J Wang
IEEE Transactions on Image Processing 27 (1), 477-489, 2018
81 2018 t-Schatten- H Kong, X Xie, Z Lin
IEEE Journal of Selected Topics in Signal Processing 12 (6), 1405-1419, 2018
77 2018 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
71 2022 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
69 2018 Differentiable Linearized ADMM X Xie, J Wu, Z Zhong, G Liu, Z Lin
International Conference on Machine Learning, 6902--6911, 2019
68 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
60 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
35 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
30 * 2022 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
27 2018 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
25 2020 Surface reconstruction with data-driven exemplar priors O Remil, Q Xie, X Xie, K Xu, J Wang
Computer-Aided Design 88, 31-41, 2017
24 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
16 2019 Reconstruction Regularized Low-Rank Subspace Learning for Cross-Modal Retrieval J Wu, X Xie, L Nie, Z Lin, H Zha
Pattern Recognition, 107813, 2021
15 2021 Optimization inspired multi-branch equilibrium models M Li, Y Wang, X Xie, Z Lin
International Conference on Learning Representations, 2021
12 2021 Matrix recovery with implicitly low-rank data X Xie, J Wu, G Liu, J Wang
Neurocomputing 334, 219-226, 2019
10 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
10 2017 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
9 * 2024 Global convergence of over-parameterized deep equilibrium models Z Ling, X Xie, Q Wang, Z Zhang, Z Lin
International Conference on Artificial Intelligence and Statistics, 767-787, 2023
8 2023 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
7 2023 
Zhouchen LinProfessor, Peking University; Fellow of IEEE, IAPR, CSIG & AAIA; ex-VP of Samsung ResearchEmail được xác minh tại pku.edu.cn
