| Albert: A lite bert for self-supervised learning of language representations Z Lan, M Chen, S Goodman, K Gimpel, P Sharma, R Soricut ICLR 2020, 2020 | 7714 | 2020 |
| Self-paced learning with diversity L Jiang, D Meng, SI Yu, Z Lan, S Shan, A Hauptmann Advances in neural information processing systems 27, 2014 | 426 | 2014 |
| Hidden two-stream convolutional networks for action recognition Y Zhu, Z Lan, S Newsam, A Hauptmann Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019 | 379 | 2019 |
| Beyond gaussian pyramid: Multi-skip feature stacking for action recognition Z Lan, M Lin, X Li, AG Hauptmann, B Raj Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on, 2015 | 356 | 2015 |
| Joint segmentation and classification of human actions in video M Hoai, ZZ Lan, F De la Torre CVPR 2011, 3265-3272, 2011 | 340 | 2011 |
| CLUE: A Chinese language understanding evaluation benchmark L Xu, H Hu, X Zhang, L Li, C Cao, Y Li, Y Xu, K Sun, D Yu, C Yu, Y Tian, ... arXiv preprint arXiv:2004.05986, 2020 | 331 | 2020 |
| Deep local video feature for action recognition Z Lan, Y Zhu, AG Hauptmann, S Newsam Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 159 | 2017 |
| Multimedia classification and event detection using double fusion Z Lan, L Bao, SI Yu, W Liu, AG Hauptmann Multimedia tools and applications 71, 333-347, 2014 | 122 | 2014 |
| Viral video style: A closer look at viral videos on youtube L Jiang, Y Miao, Y Yang, Z Lan, AG Hauptmann Proceedings of International Conference on Multimedia Retrieval, 193-200, 2014 | 101 | 2014 |
| Do transformer modifications transfer across implementations and applications? S Narang, HW Chung, Y Tay, W Fedus, T Fevry, M Matena, K Malkan, ... arXiv preprint arXiv:2102.11972, 2021 | 96 | 2021 |
| Double fusion for multimedia event detection Z Lan, L Bao, SI Yu, W Liu, AG Hauptmann Advances in Multimedia Modeling: 18th International Conference, MMM 2012 …, 2012 | 96 | 2012 |
| Air-to-air visual detection of micro-uavs: An experimental evaluation of deep learning Y Zheng, Z Chen, D Lv, Z Li, Z Lan, S Zhao IEEE Robotics and automation letters 6 (2), 1020-1027, 2021 | 87 | 2021 |
| Talking-heads attention N Shazeer, Z Lan, Y Cheng, N Ding, L Hou arXiv preprint arXiv:2003.02436, 2020 | 70 | 2020 |
| Training binary multilayer neural networks for image classification using expectation backpropagation Z Cheng, D Soudry, Z Mao, Z Lan arXiv preprint arXiv:1503.03562, 2015 | 63 | 2015 |
| Guided optical flow learning Y Zhu, Z Lan, S Newsam, AG Hauptmann arXiv preprint arXiv:1702.02295, 2017 | 59 | 2017 |
| Dynamic resolution network M Zhu, K Han, E Wu, Q Zhang, Y Nie, Z Lan, Y Wang Advances in Neural Information Processing Systems 34, 27319-27330, 2021 | 52 | 2021 |
| Space-time robust representation for action recognition N Ballas, Y Yang, ZZ Lan, B Delezoide, F Prêteux, A Hauptmann Proceedings of the IEEE International Conference on Computer Vision, 2704-2711, 2013 | 49 | 2013 |
| Extending semi-supervised learning methods for inductive transfer learning Y Shi, Z Lan, W Liu, W Bi 2009 Ninth IEEE international conference on data mining, 483-492, 2009 | 47 | 2009 |
| Informedia@ TrecVID 2014: MED and MER SI Yu, L Jiang, Z Xu, Z Lan, S Xu, X Chang, X Li, Z Mao, C Gan, Y Miao, ... TREC Video Retrieval Evaluation 2014, 2014 | 44 | 2014 |
| Latent jailbreak: A benchmark for evaluating text safety and output robustness of large language models H Qiu, S Zhang, A Li, H He, Z Lan arXiv preprint arXiv:2307.08487, 2023 | 41 | 2023 |
Alex HauptmannCarnegie Mellon UniversityVerified email at cs.cmu.edu
