| Challenges in representation learning: A report on three machine learning contests IJ Goodfellow, D Erhan, PL Carrier, A Courville, M Mirza, B Hamner, ... International conference on neural information processing, 117-124, 2013 | 454 | 2013 |
| Human identification using finger images A Kumar, Y Zhou IEEE Transactions on image processing 21 (4), 2228-2244, 2011 | 436 | 2011 |
| Human identification using palm-vein images Y Zhou, A Kumar IEEE transactions on information forensics and security 6 (4), 1259-1274, 2011 | 277 | 2011 |
| Challenges in representation learning: A report on three machine learning contests IJ Goodfellow, D Erhan, PL Carrier, A Courville, M Mirza, B Hamner, ... Neural Networks 64, 59-63, 2015 | 192 | 2015 |
| End-to-end dense video captioning with masked transformer L Zhou, Y Zhou, JJ Corso, R Socher, C Xiong Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 131 | 2018 |
| Human identification using knucklecodes A Kumar, Y Zhou 2009 IEEE 3rd International Conference on Biometrics: Theory, Applications …, 2009 | 105 | 2009 |
| Normalization propagation: A parametric technique for removing internal covariate shift in deep networks D Arpit, Y Zhou, BU Kota, V Govindaraju arXiv preprint arXiv:1603.01431, 2016 | 92 | 2016 |
| Personal identification using finger knuckle orientation features A Kumar, Y Zhou Electronics Letters 45 (20), 1023-1025, 2009 | 90 | 2009 |
| Contactless palm vein identification using multiple representations Y Zhou, A Kumar 2010 Fourth IEEE International Conference on Biometrics: Theory …, 2010 | 61 | 2010 |
| Learn to grow: A continual structure learning framework for overcoming catastrophic forgetting X Li, Y Zhou, T Wu, R Socher, C Xiong arXiv preprint arXiv:1904.00310, 2019 | 54 | 2019 |
| Why regularized auto-encoders learn sparse representation? D Arpit, Y Zhou, H Ngo, V Govindaraju International Conference on Machine Learning, 136-144, 2016 | 51 | 2016 |
| Contactless fingerprint identification using level zero features A Kumar, Y Zhou CVPR 2011 WORKSHOPS, 114-119, 2011 | 40 | 2011 |
| Parallel feature selection inspired by group testing Y Zhou, U Porwal, C Zhang, HQ Ngo, XL Nguyen, C Ré, V Govindaraju Advances in neural information processing systems 27, 3554-3562, 2014 | 38 | 2014 |
| Improving end-to-end speech recognition with policy learning Y Zhou, C Xiong, R Socher 2018 IEEE international conference on acoustics, speech and signal …, 2018 | 36 | 2018 |
| Personal identification from iris images using localized radon transform Y Zhou, A Kumar 2010 20th International Conference on Pattern Recognition, 2840-2843, 2010 | 33 | 2010 |
| A multi-discriminator cyclegan for unsupervised non-parallel speech domain adaptation E Hosseini-Asl, Y Zhou, C Xiong, R Socher arXiv preprint arXiv:1804.00522, 2018 | 31 | 2018 |
| Augmented cyclic adversarial learning for low resource domain adaptation E Hosseini-Asl, Y Zhou, C Xiong, R Socher arXiv preprint arXiv:1807.00374, 2018 | 20 | 2018 |
| Is joint training better for deep auto-encoders? Y Zhou, D Arpit, I Nwogu, V Govindaraju arXiv preprint arXiv:1405.1380, 2014 | 20 | 2014 |
| Deep secure encoding for face template protection RK Pandey, Y Zhou, BU Kota, V Govindaraju 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops …, 2016 | 19 | 2016 |
| Handwritten arabic text recognition using deep belief networks U Porwal, Y Zhou, V Govindaraju Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 18 | 2012 |
Caiming XiongSalesforce ResearchVerified email at salesforce.com
