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researcher

Ming Zhang

10 papers hereh-index 8409 citations15 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author5
  • last author5

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.LG4
  • eess.IV2
same name
  • Ming Zhang — 43 papers, h 17
  • Ming Zhang — 35 papers, h 11
  • Ming Zhang — 34 papers, h 21
  • Ming Zhang — 22 papers, h 38
  • Ming Zhang — 13 papers, h 2
  • Ming Zhang — 13 papers, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172021
most citedTowards Automated ICD Coding Using Deep Learning

123 citations · 187 across the 10 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.LG2019

Predictive Multi-level Patient Representations from Electronic Health Records

Zichang Wang, Haoran Li, Luchen Liu +2

The advent of the Internet era has led to an explosive growth in the Electronic Health Records (EHR) in the past decades. The EHR data can be regarded as a collection of clinical e…

cs.LG2019★ 3 cited

Early Prediction of Sepsis From Clinical Datavia Heterogeneous Event Aggregation

Luchen Liu, Haoxian Wu, Zichang Wang +2

Sepsis is a life-threatening condition that seriously endangers millions of people over the world. Hopefully, with the widespread availability of electronic health records (EHR), p…

cs.CL2019★ 1 cited

Neural Correction Model for Open-Domain Named Entity Recognition

Mengdi Zhu, Zheye Deng, Wenhan Xiong +3

Named Entity Recognition (NER) plays an important role in a wide range of natural language processing tasks, such as relation extraction, question answering, etc. However, previous…

cs.LG2019★ 9 cited

Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction

Luchen Liu, Haoran Li, Zhiting Hu +4

Clinical outcome prediction based on the Electronic Health Record (EHR) plays a crucial role in improving the quality of healthcare. Conventional deep sequential models fail to cap…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.