Xiaojun Chang
Xiaojun Chang
Faculty of Information Technology, Monash University
Verified email at monash.edu - Homepage
Title
Cited by
Cited by
Year
Semantic pooling for complex event analysis in untrimmed videos
X Chang, YL Yu, Y Yang, EP Xing
IEEE transactions on pattern analysis and machine intelligence 39 (8), 1617-1632, 2017
2642017
Multi-class active learning by uncertainty sampling with diversity maximization
Y Yang, Z Ma, F Nie, X Chang, AG Hauptmann
International Journal of Computer Vision 113 (2), 113-127, 2015
2232015
Bi-level semantic representation analysis for multimedia event detection
X Chang, Z Ma, Y Yang, Z Zeng, AG Hauptmann
IEEE transactions on cybernetics 47 (5), 1180-1197, 2016
1932016
Semisupervised feature analysis by mining correlations among multiple tasks
X Chang, Y Yang
IEEE transactions on neural networks and learning systems 28 (10), 2294-2305, 2016
1882016
A convex formulation for semi-supervised multi-label feature selection
X Chang, F Nie, Y Yang, H Huang
Proceedings of the National Conference on Artificial Intelligence, 2014
1882014
Feature interaction augmented sparse learning for fast kinect motion detection
X Chang, Z Ma, M Lin, Y Yang, AG Hauptmann
IEEE transactions on image processing 26 (8), 3911-3920, 2017
1592017
Compound Rank-Projections for Bilinear Analysis
X Chang, F Nie, S Wang, Y Yang, X Zhou, C Zhang
IEEE transactions on neural networks and learning systems 27 (7), 1502-1513, 2015
1072015
Revealing event saliency in unconstrained video collection
D Zhang, J Han, L Jiang, S Ye, X Chang
IEEE Transactions on Image Processing 26 (4), 1746-1758, 2017
1062017
Beyond trace ratio: weighted harmonic mean of trace ratios for multiclass discriminant analysis
Z Li, F Nie, X Chang, Y Yang
IEEE Transactions on Knowledge and Data Engineering 29 (10), 2100-2110, 2017
1052017
Nodal and multiple solutions of nonlinear problems involving the fractional Laplacian
X Chang, ZQ Wang
Journal of Differential Equations 256 (8), 2965-2992, 2014
982014
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
962017
Fast and orthogonal locality preserving projections for dimensionality reduction
R Wang, F Nie, R Hong, X Chang, X Yang, W Yu
IEEE Transactions on Image Processing 26 (10), 5019-5030, 2017
932017
Semantic concept discovery for large-scale zero-shot event detection
X Chang, Y Yang, A Hauptmann, EP Xing, YL Yu
Twenty-fourth international joint conference on artificial intelligence, 2015
812015
MMALFM: Explainable recommendation by leveraging reviews and images
Z Cheng, X Chang, L Zhu, RC Kanjirathinkal, M Kankanhalli
ACM Transactions on Information Systems (TOIS) 37 (2), 1-28, 2019
732019
Complex event detection using semantic saliency and nearly-isotonic SVM
X Chang, Y Yang, EP Xing, YL Yu
Proceedings of the 32nd International Conference on Machine Learning, 2015
732015
Convex sparse PCA for unsupervised feature learning
X Chang, F Nie, Y Yang, C Zhang, H Huang
ACM Transactions on Knowledge Discovery from Data (TKDD) 11 (1), 1-16, 2016
692016
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
662017
Diagnosis code assignment using sparsity-based disease correlation embedding
S Wang, X Chang, X Li, G Long, L Yao, QZ Sheng
IEEE Transactions on Knowledge and Data Engineering 28 (12), 3191-3202, 2016
602016
The many shades of negativity
Z Ma, X Chang, Y Yang, N Sebe, AG Hauptmann
IEEE Transactions on Multimedia 19 (7), 1558-1568, 2017
592017
Simple to Complex Cross-modal Learning to Rank
M Luo, X Chang, Z Li, L Nie, AG Hauptmann, Q Zheng
arXiv preprint arXiv:1702.01229, 2017
522017
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