Zichao Yang
Zichao Yang
Verified email at cs.cmu.edu - Homepage
Title
Cited by
Cited by
Year
Hierarchical attention networks for document classification
Z Yang, D Yang, C Dyer, X He, A Smola, E Hovy
Proceedings of the 2016 conference of the North American chapter of the …, 2016
30242016
Stacked attention networks for image question answering
Z Yang, X He, J Gao, L Deng, A Smola
Proceedings of the IEEE conference on computer vision and pattern …, 2016
13322016
Toward controlled generation of text
Z Hu, Z Yang, X Liang, R Salakhutdinov, EP Xing
arXiv preprint arXiv:1703.00955, 2017
667*2017
Deep fried convnets
Z Yang, M Moczulski, M Denil, N De Freitas, A Smola, L Song, Z Wang
Proceedings of the IEEE International Conference on Computer Vision, 1476-1483, 2015
2802015
Improved variational autoencoders for text modeling using dilated convolutions
Z Yang, Z Hu, R Salakhutdinov, T Berg-Kirkpatrick
International conference on machine learning, 3881-3890, 2017
2322017
Parameter server for distributed machine learning
M Li, L Zhou, Z Yang, A Li, F Xia, DG Andersen, A Smola
Big Learning NIPS Workshop 6, 2, 2013
1532013
Unsupervised text style transfer using language models as discriminators
Z Yang, Z Hu, C Dyer, EP Xing, T Berg-Kirkpatrick
arXiv preprint arXiv:1805.11749, 2018
1522018
A la carte–learning fast kernels
Z Yang, A Wilson, A Smola, L Song
Artificial Intelligence and Statistics, 1098-1106, 2015
1232015
Controllable text generation. arXiv preprint
Z Hu, Z Yang, X Liang, R Salakhutdinov, EP Xing
arXiv preprint arXiv:1703.00955 7, 2017
1222017
On unifying deep generative models
Z Hu, Z Yang, R Salakhutdinov, EP Xing
arXiv preprint arXiv:1706.00550, 2017
932017
Reference-aware language models
Z Yang, P Blunsom, C Dyer, W Ling
arXiv preprint arXiv:1611.01628, 2016
702016
Neural machine translation with recurrent attention modeling
Z Yang, Z Hu, Y Deng, C Dyer, A Smola
arXiv preprint arXiv:1607.05108, 2016
512016
Security adoption and influence of cyber-insurance markets in heterogeneous networks
Z Yang, JCS Lui
Performance Evaluation 74, 1-17, 2014
512014
Deep generative models with learnable knowledge constraints
Z Hu, Z Yang, R Salakhutdinov, X Liang, L Qin, H Dong, E Xing
arXiv preprint arXiv:1806.09764, 2018
482018
Deep neural networks with massive learned knowledge
Z Hu, Z Yang, R Salakhutdinov, E Xing
Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016
482016
Texar: A modularized, versatile, and extensible toolkit for text generation
Z Hu, H Shi, B Tan, W Wang, Z Yang, T Zhao, J He, L Qin, D Wang, X Ma, ...
arXiv preprint arXiv:1809.00794, 2018
402018
The economics of the cloud: price competition and congestion
J Anselmi, D Ardagna, JCS Lui, A Wierman, Y Xu, Z Yang
ACM SIGMETRICS Performance Evaluation Review 41 (4), 47-49, 2014
312014
The economics of the cloud: price competition and congestion
J Anselmi, D Ardagna, JCS Lui, A Wierman, Y Xu, Z Yang
ACM SIGMETRICS Performance Evaluation Review 41 (4), 47-49, 2014
312014
Multimodal intelligence: Representation learning, information fusion, and applications
C Zhang, Z Yang, X He, L Deng
IEEE Journal of Selected Topics in Signal Processing 14 (3), 478-493, 2020
292020
A geometry study on the capacity of wireless networks via percolation
C Hu, X Wang, Z Yang, J Zhang, Y Xu, X Gao
IEEE Transactions on Communications 58 (10), 2916-2925, 2010
242010
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