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Xiaojun Chen

4 papers hereh-index 578 citations16 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.CV2
  • cs.CL1
  • cs.LG1
same name
  • Xiaojun Chen — 21 papers, h 8
  • Xiaojun Chen — 18 papers, h 52
  • Xiaojun Chen — 16 papers, h 31
  • Xiaojun Chen — 12 papers, h 3
  • Xiaojun Chen — 8 papers, h 20
  • Xiaojun Chen — 8 papers, h 2

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 citedDeep Unsupervised Hashing with Latent Semantic Components

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2024

ROGPL​: Robust Open-Set Graph Learning via Region-Based Prototype Learning

Qin Zhang, Xiaowei Li, Jiexin Lu +4

Open-set graph learning is a practical task that aims to classify the known class nodes and to identify unknown class samples as unknowns. Conventional node classification methods…

cs.CL2024

Unsupervised multiple choices question answering via universal corpus

Qin Zhang, Hao Ge, Xiaojun Chen +1

Unsupervised question answering is a promising yet challenging task, which alleviates the burden of building large-scale annotated data in a new domain. It motivates us to study th…

cs.CV2024

Multi-level Cross-modal Alignment for Image Clustering

Liping Qiu, Qin Zhang, Xiaojun Chen +1

Recently, the cross-modal pretraining model has been employed to produce meaningful pseudo-labels to supervise the training of an image clustering model. However, numerous erroneou…

cs.CV2022★ 1 cited

Deep Unsupervised Hashing with Latent Semantic Components

Qinghong Lin, Xiaojun Chen, Qin Zhang +3

Deep unsupervised hashing has been appreciated in the regime of image retrieval. However, most prior arts failed to detect the semantic components and their relationships behind th…

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