| Expected reciprocal rank for graded relevance O Chapelle, D Metlzer, Y Zhang, P Grinspan Proceedings of the 18th ACM conference on Information and knowledge …, 2009 | 911 | 2009 |
| Actional-structural graph convolutional networks for skeleton-based action recognition M Li, S Chen, X Chen, Y Zhang, Y Wang, Q Tian Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 749 | 2019 |
| A dynamic bayesian network click model for web search ranking O Chapelle, Y Zhang Proceedings of the 18th international conference on World wide web, 1-10, 2009 | 616 | 2009 |
| Part-stacked CNN for fine-grained visual categorization S Huang, Z Xu, D Tao, Y Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 416 | 2016 |
| A machine learning-based framework to identify type 2 diabetes through electronic health records T Zheng, W Xie, L Xu, X He, Y Zhang, M You, G Yang, Y Chen International journal of medical informatics 97, 120-127, 2017 | 299 | 2017 |
| Masking: A new perspective of noisy supervision B Han, J Yao, G Niu, M Zhou, I Tsang, Y Zhang, M Sugiyama Advances in Neural Information Processing Systems, 5836-5846, 2018 | 196 | 2018 |
| Deep feature for text-dependent speaker verification Y Liu, Y Qian, N Chen, T Fu, Y Zhang, K Yu Speech Communication 73, 1-13, 2015 | 192 | 2015 |
| Dynamic multiscale graph neural networks for 3d skeleton based human motion prediction M Li, S Chen, Y Zhao, Y Zhang, Y Wang, Q Tian Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 187 | 2020 |
| Maximizing expected model change for active learning in regression W Cai, Y Zhang, J Zhou 2013 IEEE 13th International Conference on Data Mining, 51-60, 2013 | 165 | 2013 |
| Active learning for ranking through expected loss optimization B Long, O Chapelle, Y Zhang, Y Chang, Z Zheng, B Tseng Proceedings of the 33rd international ACM SIGIR conference on Research and …, 2010 | 135 | 2010 |
| Separating style and content for generalized style transfer Y Zhang, Y Zhang, W Cai Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 132 | 2018 |
| A fourier-based framework for domain generalization Q Xu, R Zhang, Y Zhang, Y Wang, Q Tian Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 128 | 2021 |
| Multi-task learning for boosting with application to web search ranking O Chapelle, P Shivaswamy, S Vadrevu, K Weinberger, Y Zhang, B Tseng Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010 | 127 | 2010 |
| Bottom-up temporal action localization with mutual regularization P Zhao, L Xie, C Ju, Y Zhang, Y Wang, Q Tian Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 114 | 2020 |
| Symbiotic graph neural networks for 3d skeleton-based human action recognition and motion prediction M Li, S Chen, X Chen, Y Zhang, Y Wang, Q Tian IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (6), 3316-3333, 2022 | 112 | 2022 |
| Webly-supervised fine-grained visual categorization via deep domain adaptation Z Xu, S Huang, Y Zhang, D Tao IEEE transactions on pattern analysis and machine intelligence 40 (5), 1100-1113, 2018 | 102 | 2018 |
| Attribute restoration framework for anomaly detection F Ye, C Huang, J Cao, M Li, Y Zhang, C Lu IEEE Transactions on Multimedia 24, 116-127, 2020 | 101* | 2020 |
| Architectural style classification using multinomial latent logistic regression Z Xu, D Tao, Y Zhang, J Wu, AC Tsoi Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 100 | 2014 |
| Augmenting strong supervision using web data for fine-grained categorization Z Xu, S Huang, Y Zhang, D Tao Proceedings of the IEEE international conference on computer vision, 2524-2532, 2015 | 92 | 2015 |
| Boosted multi-task learning O Chapelle, P Shivaswamy, S Vadrevu, K Weinberger, Y Zhang, B Tseng Machine learning 85, 149-173, 2011 | 91 | 2011 |
Qi Tian, Chief Scientist in Artificial Intel...Huawei CloudEmail verificata su huawei.com
