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 | 357 | 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 | 318 | 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 | 250 | 2014 |
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 | 231 | 2020 |
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 | 229 | 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 | 218 | 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 | 186 | 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 | 185 | 2021 |
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 | 183 | 2016 |
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 | 173 | 2017 |
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 | 162 | 2019 |
A survey of deep active learning P Ren, Y Xiao, X Chang, PY Huang, Z Li, BB Gupta, X Chen, X Wang ACM Computing Surveys (CSUR) 54 (9), 1-40, 2021 | 160 | 2021 |
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 | 141 | 2017 |
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 | 132 | 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 | 126 | 2019 |
Rank-constrained spectral clustering with flexible embedding Z Li, F Nie, X Chang, L Nie, H Zhang, Y Yang IEEE transactions on neural networks and learning systems 29 (12), 6073-6082, 2018 | 125 | 2018 |
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 | 123 | 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 | 116 | 2017 |
Block-wisely supervised neural architecture search with knowledge distillation C Li, J Peng, L Yuan, G Wang, X Liang, L Lin, X Chang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 110 | 2020 |
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 | 107 | 2020 |