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An-an Liu

4 papers hereh-index 7190 citations11 works total

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

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.IR1
same name
  • An-An Liu — 6 papers, h 10
  • An-An Liu — 4 papers, h 5
  • An-An Liu — 4 papers, h 5
  • An-An Liu — 2 papers, h 2
  • An-An Liu — 1 paper, h 1
  • An-An Liu — 1 paper, h 1

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

most citedDisentangled Multimodal Representation Learning for Recommendation

8 citations · 9 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2022

Intra-class Adaptive Augmentation with Neighbor Correction for Deep Metric Learning

Zheren Fu, Zhendong Mao, Bo Hu +2

Deep metric learning aims to learn an embedding space, where semantically similar samples are close together and dissimilar ones are repelled against. To explore more hard and info…

cs.CV2022★ 1 cited

Temporal Action Localization with Multi-temporal Scales

Zan Gao, Xinglei Cui, Tao Zhuo +4

Temporal action localization plays an important role in video analysis, which aims to localize and classify actions in untrimmed videos. The previous methods often predict actions…

cs.CV2022

Intrinsic Bias Identification on Medical Image Datasets

Shijie Zhang, Lanjun Wang, Lian Ding +3

Machine learning based medical image analysis highly depends on datasets. Biases in the dataset can be learned by the model and degrade the generalizability of the applications. Th…

cs.IR2022★ 8 cited

Disentangled Multimodal Representation Learning for Recommendation

Fan Liu, Huilin Chen, Zhiyong Cheng +3

Many multimodal recommender systems have been proposed to exploit the rich side information associated with users or items (e.g., user reviews and item images) for learning better…

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