| A survey of appearance models in visual object tracking X Li, W Hu, C Shen, Z Zhang, A Dick, AVD Hengel ACM transactions on Intelligent Systems and Technology (TIST) 4 (4), 1-48, 2013 | 957 | 2013 |
| A survey of multi-view representation learning Y Li, M Yang, Z Zhang IEEE transactions on knowledge and data engineering 31 (10), 1863-1883, 2018 | 737 | 2018 |
| Deep structured energy based models for anomaly detection S Zhai, Y Cheng, W Lu, Z Zhang International conference on machine learning, 1100-1109, 2016 | 592 | 2016 |
| Spectral clustering for multi-type relational data B Long, Z Zhang, X Wu, PS Yu Proceedings of the 23rd international conference on Machine learning, 585-592, 2006 | 545* | 2006 |
| Enhanced strength and ductility of bulk CoCrFeMnNi high entropy alloy having fully recrystallized ultrafine-grained structure SJ Sun, YZ Tian, HR Lin, XG Dong, YH Wang, ZJ Zhang, ZF Zhang Materials & Design 133, 122-127, 2017 | 486 | 2017 |
| Semisupervised autoencoder for sentiment analysis Z Zhang, S Zhai US Patent 11,205,103, 2021 | 334 | 2021 |
| Deep air learning: Interpolation, prediction, and feature analysis of fine-grained air quality Z Qi, T Wang, G Song, W Hu, X Li, Z Zhang IEEE Transactions on Knowledge and Data Engineering 30 (12), 2285-2297, 2018 | 303 | 2018 |
| Spatio-temporal graph routing for skeleton-based action recognition B Li, X Li, Z Zhang, F Wu Proceedings of the AAAI conference on artificial intelligence 33 (01), 8561-8568, 2019 | 296 | 2019 |
| A general model for multiple view unsupervised learning B Long, PS Yu, Z Zhang Proceedings of the 2008 SIAM international conference on data mining, 822-833, 2008 | 272 | 2008 |
| Co-clustering by block value decomposition B Long, Z Zhang, PS Yu Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005 | 261 | 2005 |
| Spatial color histograms for content-based image retrieval A Rao, RK Srihari, Z Zhang Proceedings 11th International Conference on Tools with Artificial …, 1999 | 245 | 1999 |
| Simultaneous improvement of strength and plasticity: Additional work-hardening from gradient microstructure CW Shao, P Zhang, YK Zhu, ZJ Zhang, YZ Tian, ZF Zhang Acta Materialia 145, 413-428, 2018 | 239 | 2018 |
| Episode-based prototype generating network for zero-shot learning Y Yu, Z Ji, J Han, Z Zhang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 232 | 2020 |
| Low-cycle and extremely-low-cycle fatigue behaviors of high-Mn austenitic TRIP/TWIP alloys: Property evaluation, damage mechanisms and life prediction CW Shao, P Zhang, R Liu, ZJ Zhang, JC Pang, ZF Zhang Acta Materialia 103, 781-795, 2016 | 230 | 2016 |
| Single and multiple object tracking using log-Euclidean Riemannian subspace and block-division appearance model W Hu, X Li, W Luo, X Zhang, S Maybank, Z Zhang IEEE transactions on pattern analysis and machine intelligence 34 (12), 2420 …, 2012 | 206 | 2012 |
| Unsupervised learning on k-partite graphs B Long, X Wu, Z Zhang, PS Yu Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006 | 201 | 2006 |
| Intelligent indexing and semantic retrieval of multimodal documents RK Srihari, Z Zhang, A Rao Information Retrieval 2 (2), 245-275, 2000 | 192 | 2000 |
| Incremental tensor subspace learning and its applications to foreground segmentation and tracking W Hu, X Li, X Zhang, X Shi, S Maybank, Z Zhang International Journal of Computer Vision 91 (3), 303-327, 2011 | 186 | 2011 |
| Extremely-low-cycle fatigue behaviors of Cu and Cu–Al alloys: Damage mechanisms and life prediction R Liu, ZJ Zhang, P Zhang, ZF Zhang Acta Materialia 83, 341-356, 2015 | 184 | 2015 |
| Robust visual tracking based on incremental tensor subspace learning X Li, W Hu, Z Zhang, X Zhang, G Luo 2007 IEEE 11th international conference on computer vision, 1-8, 2007 | 181 | 2007 |
