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Nan Du

24 papers hereh-index 364.5k citations155 works total

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

author position
  • first author7
  • middle author16
  • last author1

Across the 24 of 24 papers where every author was matched, so the position is known.

fields
  • cs.CL7
  • cs.LG4
  • cs.SI4
  • cs.AI2
  • physics.soc-ph2
  • cs.CR1
same name
  • Nan Du — 18 papers, h 17
  • Nan Du — 6 papers, h 5
  • Nan Du — 4 papers, h 4
  • Nan Du — 4 papers, h 3
  • Nan Du — 4 papers, h 4
  • Nan Du — 3 papers, h 4

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
20082022
most citedScalable Influence Estimation in Continuous-Time Diffusion Networks

129 citations · 554 across the 24 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

stat.OT2019

Statistical Robust Chinese Remainder Theorem for Multiple Numbers

Hanshen Xiao, Nan Du, Zhikang T. Wang +1

Generalized Chinese Remainder Theorem (CRT) is a well-known approach to solve ambiguity resolution related problems. In this paper, we study the robust CRT reconstruction for multi…

cs.CL2019★ 9 cited

Learning to Infer Entities, Properties and their Relations from Clinical Conversations

Nan Du, Mingqiu Wang, Linh Tran +2

Recently we proposed the Span Attribute Tagging (SAT) Model (Du et al., 2019) to infer clinical entities (e.g., symptoms) and their properties (e.g., duration). It tackles the chal…

cs.CL2019★ 98 cited

Multi-Grained Named Entity Recognition

Congying Xia, Chenwei Zhang, Tao Yang +6

This paper presents a novel framework, MGNER, for Multi-Grained Named Entity Recognition where multiple entities or entity mentions in a sentence could be non-overlapping or totall…

cs.CL2019★ 9 cited

Extracting Symptoms and their Status from Clinical Conversations

Nan Du, Kai Chen, Anjuli Kannan +3

This paper describes novel models tailored for a new application, that of extracting the symptoms mentioned in clinical conversations along with their status. Lack of any publicly…

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