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researcher

Xiaoli Wang

6 papers hereh-index 5134 citations9 works total

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

author position
  • middle author4
  • last author2

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.CV2
  • cs.AI1
same name
  • Xiaoli Wang — 4 papers, h 7
  • Xiaoli Wang — 4 papers, h 3
  • Xiaoli Wang — 4 papers, h 6
  • Xiaoli Wang — 3 papers, h 15
  • Xiaoli Wang — 2 papers, h 17
  • Xiaoli Wang — 2 papers, h 5

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 citedReinforced Curriculum Learning on Pre-trained Neural Machine Translation Models

2 citations · 7 across the 6 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.AI2023★ 2 cited

ConKI: Contrastive Knowledge Injection for Multimodal Sentiment Analysis

Yakun Yu, Mingjun Zhao, Shi-ang Qi +6

Multimodal Sentiment Analysis leverages multimodal signals to detect the sentiment of a speaker. Previous approaches concentrate on performing multimodal fusion and representation…

cs.CL2023

A Sequence-to-Sequence&Set Model for Text-to-Table Generation

Tong Li, Zhihao Wang, Liangying Shao +3

Recently, the text-to-table generation task has attracted increasing attention due to its wide applications. In this aspect, the dominant model formalizes this task as a sequence-t…

cs.CV2023★ 2 cited

Search-Map-Search: A Frame Selection Paradigm for Action Recognition

Mingjun Zhao, Yakun Yu, Xiaoli Wang +2

Despite the success of deep learning in video understanding tasks, processing every frame in a video is computationally expensive and often unnecessary in real-time applications. F…

cs.CV2023★ 1 cited

LA3: Efficient Label-Aware AutoAugment

Mingjun Zhao, Shan Lu, Zixuan Wang +2

Automated augmentation is an emerging and effective technique to search for data augmentation policies to improve generalizability of deep neural network training. Most existing wo…

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