most citedWeak Supervision for Fake News Detection via Reinforcement Learning

9 citations · 16 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL20201 cited

Efficient Knowledge Graph Validation via Cross-Graph Representation Learning

Yaqing Wang, Fenglong Ma, Jing Gao

Recent advances in information extraction have motivated the automatic construction of huge Knowledge Graphs (KGs) by mining from large-scale text corpus. However, noisy facts are…

cs.CL20203 cited

Automatic Validation of Textual Attribute Values in E-commerce Catalog by Learning with Limited Labeled Data

Yaqing Wang, Yifan Ethan Xu, Xian Li +2

Product catalogs are valuable resources for eCommerce website. In the catalog, a product is associated with multiple attributes whose values are short texts, such as product name,…

cs.LG20203 cited

Decomposed Adversarial Learned Inference

Alexander Hanbo Li, Yaqing Wang, Changyou Chen +1

Effective inference for a generative adversarial model remains an important and challenging problem. We propose a novel approach, Decomposed Adversarial Learned Inference (DALI), w…

cs.SI20209 cited

Weak Supervision for Fake News Detection via Reinforcement Learning

Yaqing Wang, Weifeng Yang, Fenglong Ma +4

Today social media has become the primary source for news. Via social media platforms, fake news travel at unprecedented speeds, reach global audiences and put users and communitie…

cs.LG2019

Generalizing from a Few Examples: A Survey on Few-Shot Learning

Yaqing Wang, Quanming Yao, James Kwok +1

Machine learning has been highly successful in data-intensive applications but is often hampered when the data set is small. Recently, Few-Shot Learning (FSL) is proposed to tackle…