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Acalligence is an academic intelligence analysis system based on multi-modal knowledge graph (MMKG).

JavaScript 2.33% HTML 0.31% Vue 97.37%
information-extraction intelligence-analysis multi-modal-knowledge-graph system-design

acalligence's Introduction

Hi~ I’m Huifan (Farah) Yang, a researcher, musician, and artist.

My work explores

  • Machine learning in multi-modality
  • Computational media and arts, Music AI
    • Sonic Art, Experimental Music, Electronic Music, Sonification, Ambisonics / Spatial Audio, Field Recording, Sound Studies, Visual Music, Creative Coding
    • Visual Art, Interactive Art, Generative Art, Contemporary Art, Media Art
  • Natural language processing: open relation extraction, information extraction, relation canonicalization, knowledge graph
  • AIGC: large language/music/audio/multimodal models
  • AI for science

Experiences include

  • 2017 ~ 2024: Master & BEng in Computer Science at Beijing Key Laboratory of Intelligence Telecommunication Software and Multimedia @dssc-group, Beijing University of Posts and Telecommunications.
  • Now
    • 2023 ~ 2024: Research Assistant in Music AI at SoundLab, advised by Ryo Ikeshiro
  • Previous
    • 2020 ~ 2021: Research intern at Bing Search Group, STCA @Microsoft
    • 2022: Research intern at DataStory Lab @IDEA-Research

🙌 Feel free to get in touch. Seeking Ph.D. opportunities. Available for hire as an RA/intern.

acalligence's People

Contributors

farahhuifanyang avatar ktolcyd88800 avatar

Stargazers

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Watchers

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Forkers

akz747 soon14 gitflhub

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