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Fujitsu (China)

China

22 papers here42 citations across 22
fields
  • quant-ph4
  • cs.LG3
  • cs.CL2
  • cs.DC2
  • astro-ph.IM1
  • cond-mat.mes-hall1
  • cs.CV1
  • cs.HC1
ROR 04w4yzw62OpenAlex

affiliations via OpenAlex

output
20152026
most citedSapientML: Synthesizing Machine Learning Pipelines by Learning from Human-Written Solutions

11 citations

researchers with a paper here
  • Hirotaka Oshima2 · h 3
  • Quoc-Hoan Tran2 · h 4
  • Shuangyong Song2 · h 12
  • Toshiyuki Miyazawa2 profiles2 · h 1
  • Yao Meng2 · h 23
  • Yasuhiro Endo2 · h 3
  • Aditi Mishra1 · h 8
  • Ahmadreza Saboor Yaraghi1 · h 1
  • Aki Dote1 · h 1
  • Akihiko Sekine1 · h 2
  • Akio Furuhata1 · h 1
  • Akira Nakagawa1 · h 6
collaborating institutions
  • Fujitsu (Japan)JP12 papers
  • The University of TokyoJP5 papers
  • Fujitsu (United States)US4 papers
  • University of Illinois Urbana-ChampaignUS2 papers
  • Ames Research CenterUS1 paper
  • Arizona State UniversityUS1 paper
  • Barcelona Supercomputing CenterES1 paper
  • Carnegie Mellon UniversityUS1 paper
  • Computing CenterRU1 paper
  • Delft University of TechnologyNL1 paper
  • Fujitsu (United Kingdom)GB1 paper
  • Hokkaido UniversityJP1 paper
Showing 2015Show all

2 papers · 1 filter

cs.IR2015

Classifying and Ranking Microblogging Hashtags with News Categories

Shuangyong Song, Yao Meng

In microblogging, hashtags are used to be topical markers, and they are adopted by users that contribute similar content or express a related idea. However, hashtags are created in…

cs.CL2015

Detecting Concept-level Emotion Cause in Microblogging

Shuangyong Song, Yao Meng

In this paper, we propose a Concept-level Emotion Cause Model (CECM), instead of the mere word-level models, to discover causes of microblogging users' diversified emotions on spec…

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