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Dehong Gao

11 papers hereh-index 16966 citations43 works total

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

author position
  • first author3
  • middle author7

Across the 10 of 11 papers where every author was matched, so the position is known.

fields
  • cs.IR5
  • cs.CL2
  • cs.CV2
  • cs.LG2
same name
  • Dehong Gao — 10 papers, h 7
  • Dehong Gao — 2 papers, h 2
  • Dehong Gao — 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

activity
20202023
most citedMasked Vision-Language Transformer in Fashion

20 citations · 55 across the 11 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.IR2021

Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement

Fuwei Zhang, Zhao Zhang, Xiang Ao +4

Cross-Lingual Information Retrieval (CLIR) aims to rank the documents written in a language different from the user's query. The intrinsic gap between different languages is an ess…

cs.CV2021★ 13 cited

Kaleido-BERT: Vision-Language Pre-training on Fashion Domain

Mingchen Zhuge, Dehong Gao, Deng-Ping Fan +5

We present a new vision-language (VL) pre-training model dubbed Kaleido-BERT, which introduces a novel kaleido strategy for fashion cross-modality representations from transformers…

cs.IR2021★ 1 cited

Network Clustering for Multi-task Learning

Dehong Gao, Wenjing Yang, Huiling Zhou +3

The Multi-Task Learning (MTL) technique has been widely studied by word-wide researchers. The majority of current MTL studies adopt the hard parameter sharing structure, where hard…

cs.CL2021★ 5 cited

Transformer-based Language Model Fine-tuning Methods for COVID-19 Fake News Detection

Ben Chen, Bin Chen, Dehong Gao +5

With the pandemic of COVID-19, relevant fake news is spreading all over the sky throughout the social media. Believing in them without discrimination can cause great trouble to peo…

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