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
595 2020 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
483 2021 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, 113-127, 2015
435 2015 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
369 2021 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
333 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
271 2014 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
270 2017 A semisupervised recurrent convolutional attention model for human activity recognition K Chen, L Yao, D Zhang, X Wang, X Chang, F Nie
IEEE transactions on neural networks and learning systems 31 (5), 1747-1756, 2019
256 2019 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
237 2019 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
237 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
233 2016 Compound rank- 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
215 2016 Hierarchical neural architecture search for deep stereo matching X Cheng, Y Zhong, M Harandi, Y Dai, X Chang, H Li, T Drummond, Z Ge
Advances in Neural Information Processing Systems 33, 22158-22169, 2020
213 2020 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
209 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
199 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
198 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
189 2018 Dynamic affinity graph construction for spectral clustering using multiple features Z Li, F Nie, X Chang, Y Yang, C Zhang, N Sebe
IEEE transactions on neural networks and learning systems 29 (12), 6323-6332, 2018
178 2018 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
175 2020 Self-supervised deep correlation tracking D Yuan, X Chang, PY Huang, Q Liu, Z He
IEEE Transactions on Image Processing 30, 976-985, 2020
166 2020 
Yi YangZhejiang UniversityDirección de correo verificada de zju.edu.cn
