Guoyin Wang
Guoyin Wang
Amazon Search Science and AI
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Cited by
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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
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, ...
ACL, 2018
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
Topic-Guided Variational Autoencoders for Text Generation
W Wang, Z Gan, H Xu, R Zhang, G Wang, D Shen, C Chen, L Carin
arXiv preprint arXiv:1903.07137, 2019
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
POINTER: Constrained 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
NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing
D Shen, Q Su, P Chapfuwa, W Wang, G Wang, L Carin, R Henao
arXiv preprint arXiv:1805.05361, 2018
Generative Adversarial Network Training is a Continual Learning Problem
KJ Liang, C Li, G Wang, L Carin
arXiv preprint arXiv:1811.11083, 2018
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
An end-to-end generative architecture for paraphrase generation
Q Yang, Z Huo, D Shen, Y Cheng, W Wang, G Wang, L Carin
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
Methods for Numeracy-Preserving Word Embeddings
D Sundararaman, S Si, V Subramanian, G Wang, D Hazarika, L Carin
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
Improving Textual Network Embedding with Global Attention via Optimal Transport
L Chen, G Wang, C Tao, D Shen, P Cheng, X Zhang, W Wang, Y Zhang, ...
arXiv preprint arXiv:1906.01840, 2019
Syntax-Infused Transformer and BERT models for Machine Translation and Natural Language Understanding
D Sundararaman, V Subramanian, G Wang, S Si, D Shen, D Wang, ...
arXiv preprint arXiv:1911.06156, 2019
Graph-driven generative models for heterogeneous multi-task learning
W Wang, H Xu, Z Gan, B Li, G Wang, L Chen, Q Yang, W Wang, L Carin
Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 979-988, 2020
Interpreting Deep Learning Models in Natural Language Processing: A Review
X Sun, D Yang, X Li, T Zhang, Y Meng, Q Han, G Wang, E Hovy, J Li
arXiv preprint arXiv:2110.10470, 2021
Students Need More Attention: BERT-based Attention Model for Small Data with Application to Automatic Patient Message Triage
S Si, R Wang, J Wosik, H Zhang, D Dov, G Wang, L Carin
Machine Learning for Healthcare Conference, 436-456, 2020
Adversarial learning of a sampler based on an unnormalized distribution
C Li, K Bai, J Li, G Wang, C Chen, L Carin
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
Improving textual network learning with variational homophilic embeddings
W Wang, C Tao, Z Gan, G Wang, L Chen, X Zhang, R Zhang, Q Yang, ...
Advances in Neural Information Processing Systems, 2076-2087, 2019
Improving Adversarial Text Generation by Modeling the Distant Future
R Zhang, C Chen, Z Gan, W Wang, D Shen, G Wang, Z Wen, L Carin
arXiv preprint arXiv:2005.01279, 2020
Sequence generation with optimal-transport-enhanced reinforcement learning
L Chen, K Bai, C Tao, Y Zhang, G Wang, W Wang, R Henao, L Carin
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7512-7520, 2020
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