Minnan Luo
Minnan Luo
Associate Professor, Xi'an Jiaotong University
Verified email at xjtu.edu.cn
Title
Cited by
Cited by
Year
Adaptive unsupervised feature selection with structure regularization
M Luo, F Nie, X Chang, Y Yang, AG Hauptmann, Q Zheng
IEEE transactions on neural networks and learning systems 29 (4), 944-956, 2017
1042017
An adaptive semisupervised feature analysis for video semantic recognition
M Luo, X Chang, L Nie, Y Yang, AG Hauptmann, Q Zheng
IEEE transactions on cybernetics 48 (2), 648-660, 2017
692017
Secure content delivery with edge nodes to save caching resources for mobile users in green cities
Q Xu, Z Su, Q Zheng, M Luo, B Dong
IEEE Transactions on Industrial Informatics 14 (6), 2550-2559, 2017
562017
Simple to Complex Cross-modal Learning to Rank
M Luo, X Chang, Y Yang, L Nie, AG Hauptmann, Q Zheng
Computer Vision and Image Understanding, 2017
552017
Hierarchical structured sparse representation for T–S fuzzy systems identification
M Luo, F Sun, H Liu
IEEE Transactions on Fuzzy Systems 21 (6), 1032-1043, 2013
422013
Avoiding optimal mean robust PCA/2DPCA with non-greedy l1-norm maximization
M Luo, F Nie, X Chang, Y Yang, A Hauptmann, Q Zheng
Proceedings of International Joint Conference on Artificial Intelligence …, 2016
312016
Game theoretical secure caching scheme in multihoming edge computing-enabled heterogeneous networks
Q Xu, Z Su, Q Zheng, M Luo, B Dong, K Zhang
IEEE Internet of Things Journal 6 (3), 4536-4546, 2018
232018
Probabilistic non-negative matrix factorization and its robust extensions for topic modeling
M Luo, F Nie, X Chang, Y Yang, A Hauptmann, Q Zheng
Thirty-first AAAI conference on artificial intelligence, 2017
222017
ANOMALOUS: A Joint Modeling Approach for Anomaly Detection on Attributed Networks.
Z Peng, M Luo, J Li, H Liu, Q Zheng
IJCAI, 3513-3519, 2018
182018
A novel T–S fuzzy systems identification with block structured sparse representation
M Luo, F Sun, H Liu, Z Li
Journal of the Franklin Institute 351 (7), 3508-3523, 2014
162014
Joint block structure sparse representation for multi-input–multi-output (MIMO) T–S fuzzy system identification
M Luo, F Sun, H Liu
IEEE Transactions on Fuzzy Systems 22 (6), 1387-1400, 2013
152013
Distributed extreme learning machine with alternating direction method of multiplier
M Luo, L Zhang, J Liu, J Guo, Q Zheng
Neurocomputing 261, 164-170, 2017
142017
Avoiding Optimal Mean ℓ2,1-Norm Maximization-Based Robust PCA for Reconstruction
M Luo, F Nie, X Chang, Y Yang, AG Hauptmann, Q Zheng
Neural computation 29 (4), 1124-1150, 2017
142017
Adaptive Semi-supervised Learning with Discriminative Least Squares Regression
M Luo, L Zhang, F Nie, X Chang, B Qian, Q Zheng
Proceedings of the 26th International Joint Conference on Artificial …, 2017
142017
A new algorithm for testing diagnosability of fuzzy discrete event systems
M Luo, Y Li, F Sun, H Liu
Information sciences 185 (1), 100-113, 2012
142012
Graph Representation Learning via Graphical Mutual Information Maximization
Z Peng, W Huang, M Luo, Q Zheng, Y Rong, T Xu, J Huang
Proceedings of The Web Conference 2020, 259-270, 2020
132020
Top-k multi-class SVM using multiple features
C Yan, M Luo, H Liu, Z Li, Q Zheng
Information Sciences 432, 479-494, 2018
132018
LDS-FCM: A linear dynamical system based fuzzy C-means method for tactile recognition
C Liu, W Huang, F Sun, M Luo, C Tan
IEEE Transactions on Fuzzy Systems 27 (1), 72-83, 2018
122018
Sparse multi-modal topical coding for image annotation
L Song, M Luo, J Liu, L Zhang, B Qian, MH Li, Q Zheng
Neurocomputing 214, 162-174, 2016
122016
Diverse fuzzy c-means for image clustering
L Zhang, M Luo, J Liu, Z Li, Q Zheng
Pattern Recognition Letters 130, 275-283, 2020
112020
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