most citedAn end-to-end Generative Retrieval Method for Sponsored Search Engine --Decoding Efficiently into a Closed Target Domain

10 citations · 24 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG20193 cited

Reducing Selection Bias in Counterfactual Reasoning for Individual Treatment Effects Estimation

Zichen Zhang, Qingfeng Lan, Lei Ding +3

Counterfactual reasoning is an important paradigm applicable in many fields, such as healthcare, economics, and education. In this work, we propose a novel method to address the is…

cs.LG20195 cited

Representation Learning of EHR Data via Graph-Based Medical Entity Embedding

Tong Wu, Yunlong Wang, Yue Wang +3

Automatic representation learning of key entities in electronic health record (EHR) data is a critical step for healthcare informatics that turns heterogeneous medical records into…

stat.AP20195 cited

Enhancing Model Interpretability and Accuracy for Disease Progression Prediction via Phenotype-Based Patient Similarity Learning

Yue Wang, Tong Wu, Yunlong Wang +1

Models have been proposed to extract temporal patterns from longitudinal electronic health records (EHR) for clinical predictive models. However, the common relations among patient…

cs.IR20191 cited

A Medical Literature Search System for Identifying Effective Treatments in Precision Medicine

Jiaming Qu, Yue Wang

The Precision Medicine Initiative states that treatments for a patient should take into account not only the patient's disease, but his/her specific genetic variation as well. The…

cs.IR201910 cited

An end-to-end Generative Retrieval Method for Sponsored Search Engine --Decoding Efficiently into a Closed Target Domain

Yijiang Lian, Zhijie Chen, Jinlong Hu +11

In this paper, we present a generative retrieval method for sponsored search engine, which uses neural machine translation (NMT) to generate keywords directly from query. This meth…