Xiaojun Chang
Xiaojun Chang
Associate Professor in Artificial Intelligence, School of Computing Technologies, RMIT University
Verified email at rmit.edu.au - Homepage
Cited by
Cited by
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
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
Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014
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
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
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
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
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, 2016
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
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
Connecting the dots: Multivariate time series forecasting with graph neural networks
Z Wu, S Pan, G Long, J Jiang, X Chang, C Zhang
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
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
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
A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions
P Ren, Y Xiao, X Chang, PY Huang, Z Li, X Chen, X Wang
ACM Computing Surveys 54 (4), 1-34, 2021
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
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
Making sense of spatio-temporal preserving representations for EEG-based human intention recognition
D Zhang, L Yao, K Chen, S Wang, X Chang, Y Liu
IEEE transactions on cybernetics 50 (7), 3033-3044, 2019
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
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
Vision-language navigation with self-supervised auxiliary reasoning tasks
F Zhu, Y Zhu, X Chang, X Liang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
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