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Fanhua Shang
Fanhua Shang
Professor at Tianjin University
Dirección de correo verificada de cse.cuhk.edu.hk - Página principal
Título
Citado por
Citado por
Año
Graph dual regularization non-negative matrix factorization for co-clustering
F Shang, LC Jiao, F Wang
Pattern Recognition 45 (6), 2237-2250, 2012
3072012
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
2262022
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
2072020
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
1752018
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
1302015
Fast affinity propagation clustering: A multilevel approach
F Shang, LC Jiao, J Shi, F Wang, M Gong
Pattern recognition 45 (1), 474-486, 2012
1232012
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
1002018
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
992017
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
862018
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
792013
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
772020
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
712014
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
692019
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
692014
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
682019
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
682015
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
672019
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
662013
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
642020
An efficient matrix factorization method for tensor completion
Y Liu, F Shang
IEEE Signal Processing Letters 20 (4), 307-310, 2013
632013
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Artículos 1–20