Yingbo Zhou
Yingbo Zhou
Research Director, Salesforce Research
Verified email at salesforce.com
Title
Cited by
Cited by
Year
Human identification using finger images
A Kumar, Y Zhou
IEEE Transactions on image processing 21 (4), 2228-2244, 2011
4222011
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
4072013
Human identification using palm-vein images
Y Zhou, A Kumar
IEEE transactions on information forensics and security 6 (4), 1259-1274, 2011
2662011
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
1722015
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
1122018
Human identification using knucklecodes
A Kumar, Y Zhou
2009 IEEE 3rd International Conference on Biometrics: Theory, Applications …, 2009
1002009
Personal identification using finger knuckle orientation features
A Kumar, Y Zhou
Electronics Letters 45 (20), 1023-1025, 2009
902009
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
832016
Contactless palm vein identification using multiple representations
Y Zhou, A Kumar
2010 Fourth IEEE International Conference on Biometrics: Theory …, 2010
602010
Why regularized auto-encoders learn sparse representation?
D Arpit, Y Zhou, H Ngo, V Govindaraju
International Conference on Machine Learning, 136-144, 2016
452016
Contactless fingerprint identification using level zero features
A Kumar, Y Zhou
CVPR 2011 WORKSHOPS, 114-119, 2011
402011
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
392019
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
352018
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, 3554-3562, 2014
342014
Personal identification from iris images using localized radon transform
Y Zhou, A Kumar
2010 20th International Conference on Pattern Recognition, 2840-2843, 2010
322010
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
312018
Is joint training better for deep auto-encoders?
Y Zhou, D Arpit, I Nwogu, V Govindaraju
arXiv preprint arXiv:1405.1380, 2014
182014
Handwritten arabic text recognition using deep belief networks
U Porwal, Y Zhou, V Govindaraju
Proceedings of the 21st International Conference on Pattern Recognition …, 2012
182012
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
172016
Augmented cyclic adversarial learning for low resource domain adaptation
E Hosseini-Asl, Y Zhou, C Xiong, R Socher
arXiv preprint arXiv:1807.00374, 2018
162018
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