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Yizhe Zhang
Yizhe Zhang
Research Scientist @ Apple MLR
Verified email at apple.com - Homepage
Title
Cited by
Cited by
Year
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
998*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
7222019
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
3432017
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
3402018
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
3302018
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 31, 2018
2102018
Generating text via adversarial training
Y Zhang, Z Gan, L Carin
NIPS workshop on Adversarial Training 21, 2016
1712016
Zero-shot learning via class-conditioned deep generative models
W Wang, Y Pu, V Verma, K Fan, Y Zhang, C Chen, P Rai, L Carin
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
1402018
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 30, 2017
1362017
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 31, 2018
1282018
What Makes Good In-Context Examples for GPT-?
J Liu, D Shen, Y Zhang, B Dolan, L Carin, W Chen
arXiv preprint arXiv:2101.06804, 2021
1142021
Deconvolutional paragraph representation learning
Y Zhang, D Shen, G Wang, Z Gan, R Henao, L Carin
Advances in Neural Information Processing Systems 30, 2017
1062017
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
932020
Contextualized perturbation for textual adversarial attack
D Li, Y Zhang, H Peng, L Chen, C Brockett, MT Sun, B Dolan
arXiv preprint arXiv:2009.07502, 2020
832020
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
802013
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
712019
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
702019
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
692018
Improving disentangled text representation learning with information-theoretic guidance
P Cheng, MR Min, D Shen, C Malon, Y Zhang, Y Li, L Carin
arXiv preprint arXiv:2006.00693, 2020
522020
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
492019
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