Graph dual regularization non-negative matrix factorization for co-clustering F Shang, LC Jiao, F Wang Pattern Recognition 45 (6), 2237-2250, 2012 | 292 | 2012 |
Ntire 2020 challenge on real-world image super-resolution: Methods and results A Lugmayr, M Danelljan, R Timofte Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 186 | 2020 |
Video super-resolution based on deep learning: a comprehensive survey H Liu, Z Ruan, P Zhao, C Dong, F Shang, Y Liu, L Yang, R Timofte Artificial Intelligence Review 55 (8), 5981-6035, 2022 | 175 | 2022 |
Bilinear factor matrix norm minimization for robust PCA: Algorithms and applications F Shang, J Cheng, Y Liu, ZQ Luo, Z Lin IEEE transactions on pattern analysis and machine intelligence 40 (9), 2066-2080, 2018 | 159 | 2018 |
Trace Norm Regularized CANDECOMP/PARAFAC Decomposition With Missing Data Y Liu, F Shang, L Jiao, J Cheng, H Cheng IEEE TRANSACTIONS ON CYBERNETICS 45 (11), 2437-2448, 2015 | 120 | 2015 |
Fast affinity propagation clustering: A multilevel approach F Shang, LC Jiao, J Shi, F Wang, M Gong Pattern recognition 45 (1), 474-486, 2012 | 116 | 2012 |
Accelerated first-order methods for geodesically convex optimization on Riemannian manifolds Y Liu, F Shang, J Cheng, H Cheng, L Jiao Advances in Neural Information Processing Systems 30, 2017 | 94 | 2017 |
A simple stochastic variance reduced algorithm with fast convergence rates K Zhou, F Shang, J Cheng Proceedings of the 35th International Conference on Machine Learning, 2018 | 93 | 2018 |
LRR for Subspace Segmentation via Tractable Schatten- Norm Minimization and Factorization H Zhang, J Yang, F Shang, C Gong, Z Zhang IEEE transactions on cybernetics 49 (5), 1722-1734, 2018 | 79 | 2018 |
A fast tri-factorization method for low-rank matrix recovery and completion Y Liu, LC Jiao, F Shang Pattern Recognition 46 (1), 163-173, 2013 | 77 | 2013 |
VR-SGD: A simple stochastic variance reduction method for machine learning F Shang, K Zhou, H Liu, J Cheng, IW Tsang, L Zhang, D Tao, L Jiao IEEE Transactions on Knowledge and Data Engineering 32 (1), 188-202, 2020 | 70 | 2020 |
Generalized higher-order orthogonal iteration for tensor decomposition and completion Y Liu, F Shang, W Fan, J Cheng, H Cheng Advances in Neural Information Processing Systems 27, 2014 | 70 | 2014 |
Robust principal component analysis with missing data F Shang, Y Liu, J Cheng, H Cheng Proceedings of the 23rd ACM International Conference on Conference on …, 2014 | 67 | 2014 |
Generalized higher order orthogonal iteration for tensor learning and decomposition Y Liu, F Shang, W Fan, J Cheng, H Cheng IEEE transactions on neural networks and learning systems 27 (12), 2551-2563, 2015 | 66 | 2015 |
Sparse coding and classifier ensemble based multi-instance learning for image categorization X Song, LC Jiao, S Yang, X Zhang, F Shang Signal processing 93 (1), 1-11, 2013 | 64 | 2013 |
Semi-supervised graph regularized deep NMF with bi-orthogonal constraints for data representation Y Meng, R Shang, F Shang, L Jiao, S Yang, R Stolkin IEEE transactions on neural networks and learning systems 31 (9), 3245-3258, 2019 | 63 | 2019 |
CU-Net: Cascaded U-Net with loss weighted sampling for brain tumor segmentation H Liu, X Shen, F Shang, F Ge, F Wang Multimodal Brain Image Analysis and Mathematical Foundations of …, 2019 | 63 | 2019 |
An efficient matrix factorization method for tensor completion Y Liu, F Shang IEEE Signal Processing Letters 20 (4), 307-310, 2013 | 61 | 2013 |
Local discriminative based sparse subspace learning for feature selection R Shang, Y Meng, W Wang, F Shang, L Jiao Pattern Recognition 92, 219-230, 2019 | 60 | 2019 |
Direct acceleration of SAGA using sampled negative momentum K Zhou, Q Ding, F Shang, J Cheng, D Li, ZQ Luo The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 60 | 2019 |