Wenlin Wang
Cited by
Cited by
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
ACL-18, 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-18, 2018
Certified Adversarial Robustness with Additive Noise
B Li, C Chen, W Wang, L Carin
NeurIPS-19, 9459-9469, 2019
Wide Compression: Tensor Ring Nets
W Wang, Y Sun, B Eriksson, W Wang, V Aggarwal
CVPR-18, 2018
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
AAAI-18, 2018
Topic-Guided Variational Autoencoders for Text Generation
W Wang, Z Gan, H Xu, R Zhang, G Wang, D Shen, C Chen, L Carin
NAACL-19, 2019
Second-order adversarial attack and certifiable robustness
B Li, C Chen, W Wang, L Carin
ICML-19, Workshop on Real-world Sequential Decision Making, 2018
Distilled Wasserstein Learning for Word Embedding and Topic Modeling
H Xu, W Wang, W Liu, L Carin
NeurIPS-18, 2018
Topic Compositional Neural Language Model
W Wang, Z Gan, W Wang, D Shen, J Huang, W Ping, S Satheesh, L Carin
AISTATS-18, 2018
A Unified Particle-Optimization Framework for Scalable Bayesian Sampling
C Chen, R Zhang, W Wang, B Li, L Chen
UAI-18, 2018
Continuous-Time Flows for Efficient Inference and Density Estimation
C Chen, C Li, L Chen, W Wang, Y Pu, LC Duke
ICML-18, 2018
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
ACL-18, 2018
An End-to-End Generative Architecture for Paraphrase Generation
Q Yang, Z Huo, D Shen, Y Cheng, W Wang, G Wang, L Carin
EMNLP-19, 2019
Earliness-aware deep convolutional networks for early time series classification
W Wang, C Chen, W Wang, P Rai, L Carin
arXiv preprint arXiv:1611.04578, 2016
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, ...
ACL-19, 2019
A convergence analysis for a class of practical variance-reduction stochastic gradient mcmc
C Chen, W Wang, Y Zhang, Q Su, L Carin
SCIENCE CHINA Information Sciences (SCIS-19)., 2017
Deep Metric Learning with Data Summarization
W Wang, C Chen, W Chen, P Rai, L Carin
ECML-16, 2016
Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning
L Chen, K Bai, C Tao, Y Zhang, G Wang, W Wang, R Henao, L Carin
AAAI-20, 0
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
AAAI-20, 2019
Improving Text Generation with Student-Forcing Optimal Transport
G Wang, C Li, J Li, H Fu, YC Lin, L Chen, Y Zhang, C Tao, R Zhang, ...
EMNLP-20, 2020
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