| 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 | 154 | 2024 |
| 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 | 108 | 2020 |
| 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 | 102 | 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 | 91 | 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 | 75 | 2018 |
| Differentiable Linearized ADMM X Xie, J Wu, Z Zhong, G Liu, Z Lin International Conference on Machine Learning, 6902--6911, 2019 | 70 | 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 | 69 | 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 | 43 | 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 | 33* | 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 | 29 | 2020 |
| 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 | 27 | 2023 |
| 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 | 25 | 2018 |
| Towards understanding convergence and generalization of AdamW P Zhou, X Xie, Z Lin, S Yan IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 24 | 2024 |
| 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 |
| 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 | 19 | 2016 |
| 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 | 18* | 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 | 16 | 2023 |
| Reconstruction Regularized Low-Rank Subspace Learning for Cross-Modal Retrieval J Wu, X Xie, L Nie, Z Lin, H Zha Pattern Recognition, 107813, 2021 | 16 | 2021 |
| 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 |
| 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 | 13 | 2017 |
Zhouchen LinProfessor, Peking University; Fellow of IEEE, IAPR, CSIG & AAIA; ex-VP of Samsung ResearchVerified email at pku.edu.cn
