activity
20132021
most citedDipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks

500 citations · 729 across the 20 of their papers we have counts for

collaborators
Showing 2020Show all

6 papers · 1 filter

cs.CL2020★ 1 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.CL2020★ 3 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.IR2020

Large-scale Real-time Personalized Similar Product Recommendations

Zhi Liu, Yan Huang, Jing Gao +2

Similar product recommendation is one of the most common scenes in e-commerce. Many recommendation algorithms such as item-to-item Collaborative Filtering are working on measuring…

cs.CR2020★ 1 cited

Practical Data Poisoning Attack against Next-Item Recommendation

Hengtong Zhang, Yaliang Li, Bolin Ding +1

Online recommendation systems make use of a variety of information sources to provide users the items that users are potentially interested in. However, due to the openness of the…

stat.ME2020★ 24 cited

A Survey on Causal Inference

Liuyi Yao, Zhixuan Chu, Sheng Li +3

Causal inference is a critical research topic across many domains, such as statistics, computer science, education, public policy and economics, for decades. Nowadays, estimating c…

cs.SI2020★ 9 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…