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Yanan Wang

KDDI Research

4 papers hereh-index 9206 citations15 works total

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

author position
  • first author1
  • middle author3

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

fields
  • cs.CV2
  • cs.CL1
  • cs.MM1
affiliations
  • KDDI Research
HomepageORCID 0000-0001-6562-0487
same name
  • Yanan Wang — 40 papers, h 12
  • Yanan Wang — 18 papers, h 4
  • Yanan Wang — 7 papers, h 18
  • Yanan Wang — 5 papers, h 4
  • Yanan Wang — 4 papers, h 10
  • Yanan Wang — 3 papers

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 citedDo I Have Your Attention: A Large Scale Engagement Prediction Dataset and Baselines

2 citations · 2 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2023

VideoAdviser: Video Knowledge Distillation for Multimodal Transfer Learning

Yanan Wang, Donghuo Zeng, Shinya Wada +1

Multimodal transfer learning aims to transform pretrained representations of diverse modalities into a common domain space for effective multimodal fusion. However, conventional sy…

cs.CL2023

Topic-switch adapted Japanese Dialogue System based on PLATO-2

Donghuo Zeng, Jianming Wu, Yanan Wang +3

Large-scale open-domain dialogue systems such as PLATO-2 have achieved state-of-the-art scores in both English and Chinese. However, little work explores whether such dialogue syst…

cs.CV2023★ 2 cited

Do I Have Your Attention: A Large Scale Engagement Prediction Dataset and Baselines

Monisha Singh, Ximi Hoque, Donghuo Zeng +3

The degree of concentration, enthusiasm, optimism, and passion displayed by individual(s) while interacting with a machine is referred to as `user engagement'. Engagement comprises…

cs.MM2022

Complete Cross-triplet Loss in Label Space for Audio-visual Cross-modal Retrieval

Donghuo Zeng, Yanan Wang, Jianming Wu +1

The heterogeneity gap problem is the main challenge in cross-modal retrieval. Because cross-modal data (e.g. audiovisual) have different distributions and representations that cann…

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