Shuiwang Ji, Associate Professor
Shuiwang Ji, Associate Professor
Department of Computer Science & Engineering, Texas A&M University
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Cited by
Cited by
3D convolutional neural networks for human action recognition
S Ji, W Xu, M Yang, K Yu
IEEE Transactions on Pattern Analysis and Machine Intelligence 35 (1), 221-231, 2013
SLEP: Sparse learning with efficient projections
J Liu, S Ji, J Ye
Arizona State University 6 (491), 7, 2009
Multi-task feature learning via efficient l2, 1-norm minimization
J Liu, S Ji, J Ye
arXiv preprint arXiv:1205.2631, 2012
Deep convolutional neural networks for multi-modality isointense infant brain image segmentation
W Zhang, R Li, H Deng, L Wang, W Lin, S Ji, D Shen
NeuroImage 108, 214-224, 2015
An accelerated gradient method for trace norm minimization
S Ji, J Ye
Proceedings of the 26th annual international conference on machine learning …, 2009
Deep learning based imaging data completion for improved brain disease diagnosis
R Li, W Zhang, HI Suk, L Wang, J Li, D Shen, S Ji
International Conference on Medical Image Computing and Computer-Assisted …, 2014
Canonical correlation analysis for multilabel classification: A least-squares formulation, extensions, and analysis
L Sun, S Ji, J Ye
IEEE Transactions on Pattern Analysis and Machine Intelligence 33 (1), 194-200, 2010
Discriminant sparse neighborhood preserving embedding for face recognition
J Gui, Z Sun, W Jia, R Hu, Y Lei, S Ji
Pattern Recognition 45 (8), 2884-2893, 2012
Hypergraph spectral learning for multi-label classification
L Sun, S Ji, J Ye
Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008
Extracting shared subspace for multi-label classification
S Ji, L Tang, S Yu, J Ye
Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008
Trace norm regularization: Reformulations, algorithms, and multi-task learning
TK Pong, P Tseng, S Ji, J Ye
SIAM Journal on Optimization 20 (6), 3465-3489, 2010
Feature selection based on structured sparsity: A comprehensive study
J Gui, Z Sun, S Ji, D Tao, T Tan
IEEE transactions on neural networks and learning systems 28 (7), 1490-1507, 2016
Generalized linear discriminant analysis: a unified framework and efficient model selection
S Ji, J Ye
IEEE Transactions on Neural Networks 19 (10), 1768-1782, 2008
A shared-subspace learning framework for multi-label classification
S Ji, L Tang, S Yu, J Ye
ACM Transactions on Knowledge Discovery from Data (TKDD) 4 (2), 1-29, 2010
A robust deep model for improved classification of AD/MCI patients
F Li, L Tran, KH Thung, S Ji, D Shen, J Li
IEEE journal of biomedical and health informatics 19 (5), 1610-1616, 2015
Large-scale learnable graph convolutional networks
H Gao, Z Wang, S Ji
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
Multi-class discriminant kernel learning via convex programming
J Ye, S Ji, J Chen
Journal of Machine Learning Research 9 (Apr), 719-758, 2008
Deep model based transfer and multi-task learning for biological image analysis
W Zhang, R Li, T Zeng, Q Sun, S Kumar, J Ye, S Ji
IEEE transactions on Big Data, 2016
Drosophila gene expression pattern annotation through multi-instance multi-label learning
YX Li, S Ji, S Kumar, J Ye, ZH Zhou
IEEE/ACM Transactions on Computational Biology and Bioinformatics 9 (1), 98-112, 2011
Linear dimensionality reduction for multi-label classification
S Ji, J Ye
Twenty-first International Joint Conference on Artificial Intelligence, 2009
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