Xiaojun Chang
Xiaojun Chang
Faculty of Information Technology, Monash University
Verified email at monash.edu - Homepage
TitleCited byYear
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
A convex formulation for semi-supervised multi-label feature selection
X Chang, F Nie, Y Yang, H Huang
Twenty-eighth AAAI conference on artificial intelligence, 2014
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
Bi-Level Semantic Representation Analysis for Multimedia Event Detection
X Chang, Z Ma, Y Yang, Z Zeng, AG Hauptmann
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, 2017
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
Compound rank-k projections for bilinear analysis
X Chang, F Nie, S Wang, Y Yang, X Zhou, C Zhang
IEEE Transactions on Neural Networks and Learning System 27 (7), 1502-1513, 2016
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
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
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
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
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
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
The many shades of negativity
Z Ma, X Chang, Y Yang, N Sebe, AG Hauptmann
IEEE Transactions on Multimedia 19 (7), 1558-1568, 2017
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), 3, 2016
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
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
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
Informedia@ trecvid 2014 med and mer
SI Yu, L Jiang, Z Mao, X Chang, X Du, C Gan, Z Lan, Z Xu, X Li, Y Cai, ...
NIST TRECVID Video Retrieval Evaluation Workshop 24, 2014
Searching persuasively: Joint event detection and evidence recounting with limited supervision
X Chang, YL Yu, Y Yang, AG Hauptmann
Proceedings of the 23rd ACM international conference on Multimedia, 581-590, 2015
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