| Robust recovery of subspace structures by low-rank representation G Liu, Z Lin, S Yan, J Sun, Y Yu, Y Ma IEEE transactions on pattern analysis and machine intelligence 35 (1), 171-184, 2012 | 3734 | 2012 |
| The augmented lagrange multiplier method for exact recovery of corrupted low-rank matrices Z Lin, M Chen, Y Ma arXiv preprint arXiv:1009.5055, 2010 | 3723 | 2010 |
| Robust subspace segmentation by low-rank representation G Liu, Z Lin, Y Yu Proceedings of the 27th international conference on machine learning (ICML …, 2010 | 2022 | 2010 |
| Linearized alternating direction method with adaptive penalty for low-rank representation Z Lin, R Liu, Z Su Advances in neural information processing systems 24, 2011 | 1447 | 2011 |
| Recurrent squeeze-and-excitation context aggregation net for single image deraining X Li, J Wu, Z Lin, H Liu, H Zha Proceedings of the European conference on computer vision (ECCV), 254-269, 2018 | 964 | 2018 |
| Tensor robust principal component analysis with a new tensor nuclear norm C Lu, J Feng, Y Chen, W Liu, Z Lin, S Yan IEEE transactions on pattern analysis and machine intelligence 42 (4), 925-938, 2019 | 885 | 2019 |
| Expectation-maximization attention networks for semantic segmentation X Li, Z Zhong, J Wu, Y Yang, Z Lin, H Liu Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 707 | 2019 |
| Fast convex optimization algorithms for exact recovery of a corrupted low-rank matrix Z Lin, A Ganesh, J Wright, L Wu, M Chen, Y Ma Coordinated Science Laboratory Report no. UILU-ENG-09-2214, 2009 | 656 | 2009 |
| Spider: Near-optimal non-convex optimization via stochastic path-integrated differential estimator C Fang, CJ Li, Z Lin, T Zhang Advances in neural information processing systems 31, 2018 | 651 | 2018 |
| Fundamental limits of reconstruction-based superresolution algorithms under local translation Z Lin, HY Shum IEEE transactions on pattern analysis and machine intelligence 26 (1), 83-97, 2004 | 614 | 2004 |
| Tensor robust principal component analysis: Exact recovery of corrupted low-rank tensors via convex optimization C Lu, J Feng, Y Chen, W Liu, Z Lin, S Yan Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 585 | 2016 |
| Relay backpropagation for effective learning of deep convolutional neural networks L Shen, Z Lin, Q Huang Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 558 | 2016 |
| Fast, automatic and fine-grained tampered JPEG image detection via DCT coefficient analysis Z Lin, J He, X Tang, CK Tang Pattern Recognition 42 (11), 2492-2501, 2009 | 495 | 2009 |
| Accelerated proximal gradient methods for nonconvex programming H Li, Z Lin Advances in neural information processing systems 28, 2015 | 480 | 2015 |
| Laplacian regularized low-rank representation and its applications M Yin, J Gao, Z Lin IEEE transactions on pattern analysis and machine intelligence 38 (3), 504-517, 2015 | 437 | 2015 |
| Subspace clustering by block diagonal representation C Lu, J Feng, Z Lin, T Mei, S Yan IEEE transactions on pattern analysis and machine intelligence 41 (2), 487-501, 2018 | 417 | 2018 |
| Non-negative low rank and sparse graph for semi-supervised learning L Zhuang, H Gao, Z Lin, Y Ma, X Zhang, N Yu 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2328-2335, 2012 | 386 | 2012 |
| Nonconvex nonsmooth low rank minimization via iteratively reweighted nuclear norm C Lu, J Tang, S Yan, Z Lin IEEE Transactions on Image Processing 25 (2), 829-839, 2015 | 329 | 2015 |
| Essential tensor learning for multi-view spectral clustering J Wu, Z Lin, H Zha IEEE Transactions on Image Processing 28 (12), 5910-5922, 2019 | 328 | 2019 |
| Smooth representation clustering H Hu, Z Lin, J Feng, J Zhou Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 327 | 2014 |
Shuicheng Yan, Fellow of AAAI, ACM,...Kunlun 2050 Research & Skywork AI, previously Sea AI Lab, Singapore在 kunlun-inc.com 的电子邮件经过验证
