Zhe Gan
Zhe Gan
Senior Researcher, Microsoft
Verified email at microsoft.com - Homepage
TitleCited byYear
Variational Autoencoder for Deep Learning of Images, Labels and Captions
Y Pu, Z Gan, R Henao, X Yuan, C Li, A Stevens, L Carin
NIPS, 2016
2602016
Attngan: Fine-grained text to image generation with attentional generative adversarial networks
T Xu, P Zhang, Q Huang, H Zhang, Z Gan, X Huang, X He
Proceedings of the IEEE conference on computer vision and pattern …, 2018
2462018
Semantic compositional networks for visual captioning
Z Gan, C Gan, X He, Y Pu, K Tran, J Gao, L Carin, L Deng
Proceedings of the IEEE conference on computer vision and pattern …, 2017
1942017
Adversarial feature matching for text generation
Y Zhang, Z Gan, K Fan, Z Chen, R Henao, D Shen, L Carin
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
1432017
Stylenet: Generating attractive visual captions with styles
C Gan, Z Gan, X He, J Gao, L Deng
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
872017
Learning deep sigmoid belief networks with data augmentation
Z Gan, R Henao, D Carlson, L Carin
Artificial Intelligence and Statistics, 268-276, 2015
872015
Generating Text via Adversarial Training
Y Zhang, Z Gan, L Carin
Workshop on Adversarial Training, NIPS 2016, 2016
852016
Learning Generic Sentence Representations Using Convolutional Neural Networks
Z Gan, Y Pu, R Henao, C Li, X He, L Carin
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2017
74*2017
Triangle generative adversarial networks
Z Gan, L Chen, W Wang, Y Pu, Y Zhang, H Liu, C Li, L Carin
Advances in neural information processing systems, 5247-5256, 2017
652017
Scalable Deep Poisson Factor Analysis for Topic Modeling
Z Gan, C Chen, R Henao, D Carlson, L Carin
Proceedings of the 32nd International Conference on Machine Learning, 2015
612015
Deep temporal sigmoid belief networks for sequence modeling
Z Gan, C Li, R Henao, DE Carlson, L Carin
Advances in Neural Information Processing Systems, 2467-2475, 2015
592015
Deconvolutional paragraph representation learning
Y Zhang, D Shen, G Wang, Z Gan, R Henao, L Carin
Advances in Neural Information Processing Systems, 4169-4179, 2017
532017
Adversarial Symmetric Variational Autoencoder
Y Pu, W Wang, R Henao, L Chen, Z Gan, C Li, L Carin
Neural and Information Processing Systems (NIPS), 2017
482017
Bridging the gap between stochastic gradient MCMC and stochastic optimization
C Chen, D Carlson, Z Gan, C Li, L Carin
Artificial Intelligence and Statistics, 1051-1060, 2016
452016
Generating informative and diverse conversational responses via adversarial information maximization
Y Zhang, M Galley, J Gao, Z Gan, X Li, C Brockett, B Dolan
Advances in Neural Information Processing Systems, 1810-1820, 2018
422018
Topic compositional neural language model
W Wang, Z Gan, W Wang, D Shen, J Huang, W Ping, S Satheesh, L Carin
arXiv preprint arXiv:1712.09783, 2017
312017
Learning Weight Uncertainty with Stochastic Gradient MCMC for Shape Classification
C Li, A Stevens, C Chen, Y Pu, Z Gan, L Carin
CVPR, 2016
282016
Deep Poisson factor modeling
R Henao, Z Gan, J Lu, L Carin
Advances in Neural Information Processing Systems, 2800-2808, 2015
282015
Adversarial text generation via feature-mover's distance
L Chen, S Dai, C Tao, H Zhang, Z Gan, D Shen, Y Zhang, G Wang, ...
Advances in Neural Information Processing Systems, 4666-4677, 2018
272018
VAE Learning via Stein Variational Gradient Descent
Y Pu, Z Gan, R Henao, C Li, S Han, L Carin
Neural and Information Processing Systems (NIPS), 2017
272017
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