| 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 | 280 | 2017 |
| 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 | 258 | 2015 |
| 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 | 211 | 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 | 202 | 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 | 195 | 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 | 164 | 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 | 114 | 2017 |
| 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 | 114 | 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 | 113 | 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, 2015 | 111 | 2015 |
| 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 | 100 | 2019 |
| 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 | 99 | 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 | 92 | 2015 |
| 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 | 78 | 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 | 74 | 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), 1-16, 2016 | 70 | 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 | 69 | 2016 |
| The many shades of negativity Z Ma, X Chang, Y Yang, N Sebe, AG Hauptmann IEEE Transactions on Multimedia 19 (7), 1558-1568, 2017 | 60 | 2017 |
| Simple to Complex Cross-modal Learning to Rank M Luo, X Chang, Z Li, L Nie, AG Hauptmann, Q Zheng Computer Vision and Image Understanding 163, 67-77, 2017 | 59 | 2017 |
| Modeling disease progression via multisource multitask learners: A case study with Alzheimer’s disease L Nie, L Zhang, L Meng, X Song, X Chang, X Li IEEE transactions on neural networks and learning systems 28 (7), 1508-1519, 2016 | 55 | 2016 |
Yi YangUniversity of Technology SydneyVerified email at uts.edu.au
