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Nanxiang Li

2 papers hereh-index 12847 citations31 works total

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

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.HC1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

most citedImprove Unsupervised Domain Adaptation with Mixup Training

123 citations · 130 across the 2 of their papers we have counts for

collaborators

2 papers

cs.HC2020★ 7 cited

VATLD: A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection

Liang Gou, Lincan Zou, Nanxiang Li +4

Traffic light detection is crucial for environment perception and decision-making in autonomous driving. State-of-the-art detectors are built upon deep Convolutional Neural Network…

stat.ML2020★ 123 cited

Improve Unsupervised Domain Adaptation with Mixup Training

Shen Yan, Huan Song, Nanxiang Li +2

Unsupervised domain adaptation studies the problem of utilizing a relevant source domain with abundant labels to build predictive modeling for an unannotated target domain. Recent…

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