Guoyin Wang
Guoyin Wang
Dirección de correo verificada de duke.edu
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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
992018
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
682018
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
542017
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
292018
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
202019
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
152018
JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets
Y Pu, S Dai, Z Gan, W Wang, G Wang, Y Zhang, R Henao, L Carin
arXiv preprint arXiv:1806.02978, 2018
142018
An end-to-end generative architecture for paraphrase generation
Q Yang, D Shen, Y Cheng, W Wang, G Wang, L Carin
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
72019
Adversarial Learning of a Sampler Based on an Unnormalized Distribution
C Li, K Bai, J Li, G Wang, C Chen, L Carin
arXiv preprint arXiv:1901.00612, 2019
62019
Generative Adversarial Network Training is a Continual Learning Problem
KJ Liang, C Li, G Wang, L Carin
arXiv preprint arXiv:1811.11083, 2018
52018
Learning to Sample with Adversarially Learned Likelihood-Ratio
C Li, J Li, G Wang, L Carin
52018
Sequence Generation with Guider Network
R Zhang, C Chen, Z Gan, W Wang, L Chen, D Shen, G Wang, L Carin
arXiv preprint arXiv:1811.00696, 2018
42018
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
22019
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, 2074-2085, 2019
22019
Dual-scale Galerkin methods for Darcy flow
G Wang, G Scovazzi, L Nouveau, CE Kees, S Rossi, O Colomés, A Main
Journal of Computational Physics 354, 111-134, 2018
22018
Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods
K Liang, G Wang, Y Li, R Henao, L Carin
Advances in Neural Information Processing Systems, 3387-3398, 2019
12019
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
arXiv preprint arXiv:1911.08709, 2019
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
2019
An Optimal Transport Framework for Zero-Shot Learning
W Wang, H Xu, G Wang, W Wang, L Carin
arXiv preprint arXiv:1910.09057, 2019
2019
Discriminative Clustering for Robust Unsupervised Domain Adaptation
R Wang, G Wang, R Henao
arXiv preprint arXiv:1905.13331, 2019
2019
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