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researcher

Rui Yan

18 papers hereh-index 212.2k citations40 works total

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

author position
  • middle author14
  • last author3

Across the 17 of 18 papers where every author was matched, so the position is known.

fields
  • cs.CL15
  • cs.CV3
same name
  • Rui Yan — 56 papers, h 46
  • Rui Yan — 17 papers, h 16
  • Rui Yan — 17 papers, h 9
  • Rui Yan — 13 papers, h 13
  • Rui Yan — 11 papers, h 5
  • Rui Yan — 10 papers, h 8

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
20152023
most citedHow Transferable are Neural Networks in NLP Applications?

84 citations · 318 across the 18 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.CL2021★ 7 cited

CUGE: A Chinese Language Understanding and Generation Evaluation Benchmark

Yuan Yao, Qingxiu Dong, Jian Guan +32

Realizing general-purpose language intelligence has been a longstanding goal for natural language processing, where standard evaluation benchmarks play a fundamental and guiding ro…

cs.CV2021

Object-aware Video-language Pre-training for Retrieval

Alex Jinpeng Wang, Yixiao Ge, Guanyu Cai +5

Recently, by introducing large-scale dataset and strong transformer network, video-language pre-training has shown great success especially for retrieval. Yet, existing video-langu…

cs.CL2021

TaskDrop: A Competitive Baseline for Continual Learning of Sentiment Classification

Jianping Mei, Yilun Zheng, Qianwei Zhou +1

In this paper, we study the multi-task sentiment classification problem in the continual learning setting, i.e., a model is sequentially trained to classifier the sentiment of revi…

cs.CL2021★ 12 cited

Modeling Text-visual Mutual Dependency for Multi-modal Dialog Generation

Shuhe Wang, Yuxian Meng, Xiaofei Sun +5

Multi-modal dialog modeling is of growing interest. In this work, we propose frameworks to resolve a specific case of multi-modal dialog generation that better mimics multi-modal d…

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