activity
20192021
most citedMeasuring Patient Similarities via a Deep Architecture with Medical Concept Embedding

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CL2021

MCR-Net: A Multi-Step Co-Interactive Relation Network for Unanswerable Questions on Machine Reading Comprehension

Wei Peng, Yue Hu, Jing Yu +4

Question answering systems usually use keyword searches to retrieve potential passages related to a question, and then extract the answer from passages with the machine reading com…

cs.AI2020

Cross-modal Knowledge Reasoning for Knowledge-based Visual Question Answering

Jing Yu, Zihao Zhu, Yujing Wang +3

Knowledge-based Visual Question Answering (KVQA) requires external knowledge beyond the visible content to answer questions about an image. This ability is challenging but indispen…

cs.CV2020

DAM: Deliberation, Abandon and Memory Networks for Generating Detailed and Non-repetitive Responses in Visual Dialogue

Xiaoze Jiang, Jing Yu, Yajing Sun +4

Visual Dialogue task requires an agent to be engaged in a conversation with human about an image. The ability of generating detailed and non-repetitive responses is crucial for the…

cs.CV2020

Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based Visual Question Answering

Zihao Zhu, Jing Yu, Yujing Wang +3

Fact-based Visual Question Answering (FVQA) requires external knowledge beyond visible content to answer questions about an image, which is challenging but indispensable to achieve…

stat.ML20191 cited

Measuring Patient Similarities via a Deep Architecture with Medical Concept Embedding

Zihao Zhu, Changchang Yin, Buyue Qian +3

Evaluating the clinical similarities between pairwise patients is a fundamental problem in healthcare informatics. A proper patient similarity measure enables various downstream ap…