| Graph dual regularization non-negative matrix factorization for co-clustering F Shang, LC Jiao, F Wang Pattern Recognition 45 (6), 2237-2250, 2012 | 309 | 2012 |
| 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 | 227 | 2022 |
| 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 | 213 | 2020 |
| 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 | 179 | 2018 |
| 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 | 133 | 2014 |
| 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 | 130 | 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 | 122 | 2012 |
| 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 | 101 | 2018 |
| 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 | 97 | 2017 |
| 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 | 88 | 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 | 79 | 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 | 78 | 2020 |
| 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 | 70 | 2014 |
| 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 | 69 | 2019 |
| 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 | 69 | 2019 |
| Sparse and low-redundant subspace learning-based dual-graph regularized robust feature selection R Shang, K Xu, F Shang, L Jiao Knowledge-Based Systems 187, 104830, 2020 | 67 | 2020 |
| 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 | 67 | 2019 |
| 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 | 66 | 2013 |
| An efficient matrix factorization method for tensor completion Y Liu, F Shang IEEE Signal Processing Letters 20 (4), 307-310, 2013 | 64 | 2013 |
| 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 | 62 | 2019 |
Licheng JiaoDistinguished Professor of Xidian University, IEEE Fellow在 mail.xidian.edu.cn 的电子邮件经过验证
