10 citations · 12 across the 5 of their papers we have counts for
5 papers
Entity Anchored ICD Coding
Jay DeYoung, Han-Chin Shing, Luyang Kong +2
Medical coding is a complex task, requiring assignment of a subset of over 72,000 ICD codes to a patient's notes. Modern natural language processing approaches to these tasks have…
Kronecker Factorization for Preventing Catastrophic Forgetting in Large-scale Medical Entity Linking
Denis Jered McInerney, Luyang Kong, Kristjan Arumae +2
Multi-task learning is useful in NLP because it is often practically desirable to have a single model that works across a range of tasks. In the medical domain, sequential training…
Zero-shot Medical Entity Retrieval without Annotation: Learning From Rich Knowledge Graph Semantics
Luyang Kong, Christopher Winestock, Parminder Bhatia
Medical entity retrieval is an integral component for understanding and communicating information across various health systems. Current approaches tend to work well on specific me…
Improve black-box sequential anomaly detector relevancy with limited user feedback
Luyang Kong, Lifan Chen, Ming Chen +2
Anomaly detectors are often designed to catch statistical anomalies. End-users typically do not have interest in all of the detected outliers, but only those relevant to their appl…
Using generative adversarial networks to synthesize artificial financial datasets
Dmitry Efimov, Di Xu, Luyang Kong +2
Generative Adversarial Networks (GANs) became very popular for generation of realistically looking images. In this paper, we propose to use GANs to synthesize artificial financial…