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Nan Jiang

12 papers hereh-index 9910 citations18 works total

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

author position
  • first author6
  • middle author5
  • last author1

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.SE3
  • cs.AI1
  • cs.DB1
  • cs.IR1
  • cs.LG1
same name
  • Nan Jiang — 55 papers, h 34
  • Nan Jiang — 12 papers, h 9
  • Nan Jiang — 11 papers, h 8
  • Nan Jiang — 10 papers, h 15
  • Nan Jiang — 10 papers, h 2
  • Nan Jiang — 10 papers, h 11

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
20202023
most citedCURE: Code-Aware Neural Machine Translation for Automatic Program Repair

285 citations · 314 across the 12 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.AI2021★ 1 cited

A Fast Randomized Algorithm for Massive Text Normalization

Nan Jiang, Chen Luo, Vihan Lakshman +2

Many popular machine learning techniques in natural language processing and data mining rely heavily on high-quality text sources. However real-world text datasets contain a signif…

cs.LG2021★ 4 cited

A Spectral Approach to Off-Policy Evaluation for POMDPs

Yash Nair, Nan Jiang

We consider off-policy evaluation (OPE) in Partially Observable Markov Decision Processes, where the evaluation policy depends only on observable variables but the behavior policy…

cs.SE2021★ 285 cited

CURE: Code-Aware Neural Machine Translation for Automatic Program Repair

Nan Jiang, Thibaud Lutellier, Lin Tan

Automatic program repair (APR) is crucial to improve software reliability. Recently, neural machine translation (NMT) techniques have been used to fix software bugs automatically.…

physics.soc-ph2021★ 2 cited

Quantifying Spatial Homogeneity of Urban Road Networks via Graph Neural Networks

Jiawei Xue, Nan Jiang, Senwei Liang +4

Quantifying the topological similarities of different parts of urban road networks (URNs) enables us to understand the urban growth patterns. While conventional statistics provide…

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