Yizhe Zhang
Yizhe Zhang
Research Scientist @ Facebook AI
Verifierad e-postadress på fb.com - Startsida
Citeras av
Citeras av
Towards unifying Hamiltonian Monte Carlo and slice sampling
Y Zhang, X Wang, C Chen, R Henao, K Fan, L Carin
Advances in Neural Information Processing Systems, 1741-1749, 2016
Dialogpt: Large-scale generative pre-training for conversational response generation
Y Zhang, S Sun, M Galley, YC Chen, C Brockett, X Gao, J Gao, J Liu, ...
arXiv preprint arXiv:1911.00536, 2019
Adversarial feature matching for text generation
Y Zhang, Z Gan, K Fan, Z Chen, R Henao, D Shen, L Carin
arXiv preprint arXiv:1706.03850, 2017
Baseline needs more love: On simple word-embedding-based models and associated pooling mechanisms
D Shen, G Wang, W Wang, MR Min, Q Su, Y Zhang, C Li, R Henao, ...
arXiv preprint arXiv:1805.09843, 2018
Joint embedding of words and labels for text classification
G Wang, C Li, W Wang, Y Zhang, D Shen, X Zhang, R Henao, L Carin
arXiv preprint arXiv:1805.04174, 2018
Generating informative and diverse conversational responses via adversarial information maximization
Y Zhang, M Galley, J Gao, Z Gan, X Li, C Brockett, B Dolan
arXiv preprint arXiv:1809.05972, 2018
Generating text via adversarial training
Y Zhang, Z Gan, L Carin
NIPS workshop on Adversarial Training 21, 2016
Zero-shot learning via class-conditioned deep generative models
W Wang, Y Pu, VK Verma, K Fan, Y Zhang, C Chen, P Rai, L Carin
Thirty-second AAAI conference on artificial intelligence, 2018
Triangle generative adversarial networks
Z Gan, L Chen, W Wang, Y Pu, Y Zhang, H Liu, C Li, L Carin
arXiv preprint arXiv:1709.06548, 2017
Adversarial text generation via feature-mover's distance
L Chen, S Dai, C Tao, D Shen, Z Gan, H Zhang, Y Zhang, L Carin
arXiv preprint arXiv:1809.06297, 2018
Deconvolutional paragraph representation learning
Y Zhang, D Shen, G Wang, Z Gan, R Henao, L Carin
arXiv preprint arXiv:1708.04729, 2017
Composition-based classification of short metagenomic sequences elucidates the landscapes of taxonomic and functional enrichment of microorganisms
J Liu, H Wang, H Yang, Y Zhang, J Wang, F Zhao, J Qi
Nucleic acids research 41 (1), e3-e3, 2013
Deconvolutional latent-variable model for text sequence matching
D Shen, Y Zhang, R Henao, Q Su, L Carin
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
Jointly optimizing diversity and relevance in neural response generation
X Gao, S Lee, Y Zhang, C Brockett, M Galley, J Gao, B Dolan
arXiv preprint arXiv:1902.11205, 2019
Improving sequence-to-sequence learning via optimal transport
L Chen, Y Zhang, R Zhang, C Tao, Z Gan, H Zhang, B Li, D Shen, C Chen, ...
arXiv preprint arXiv:1901.06283, 2019
Optimus: Organizing sentences via pre-trained modeling of a latent space
C Li, X Gao, Y Li, B Peng, X Li, Y Zhang, J Gao
arXiv preprint arXiv:2004.04092, 2020
Towards generating long and coherent text with multi-level latent variable models
D Shen, A Celikyilmaz, Y Zhang, L Chen, X Wang, J Gao, L Carin
arXiv preprint arXiv:1902.00154, 2019
Jointgan: Multi-domain joint distribution learning with generative adversarial nets
Y Pu, S Dai, Z Gan, W Wang, G Wang, Y Zhang, R Henao, LC Duke
International Conference on Machine Learning, 4151-4160, 2018
POINTER: Constrained progressive text generation via insertion-based generative pre-training
Y Zhang, G Wang, C Li, Z Gan, C Brockett, B Dolan
arXiv preprint arXiv:2005.00558, 2020
Structuring latent spaces for stylized response generation
X Gao, Y Zhang, S Lee, M Galley, C Brockett, J Gao, B Dolan
arXiv preprint arXiv:1909.05361, 2019
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