Xudong Hong

Doctoral Student at Universität des Saarlandes

Saarbrücken, Saarland, Germany
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Summary

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Xudong Hong is a doctoral student at Universität des Saarlandes with over a decade of research and engineering experience at the intersection of computer science, linguistics, and cognitive science. He develops multimodal NLP and deep learning methods to extract prototypical event representations and model inner-event structures, aiming to generate semantically coherent and pragmatically informative stories from photo albums. Supervised by Vera Demberg, his work connects visual-language models and cognitive theories of commonsense acquisition across sensory modalities. Based in Saarbrücken, he blends rigorous academic training from South China University of Technology and Saarland University with hands-on experimentation in visually grounded story generation. His projects reveal a practical curiosity for how narrative comprehension and production emerge from multimodal signals—a perspective that informs both model design and evaluation.
code11 years of coding experience
bookMaster’s Degree, Master’s Degree at Universität des Saarlandes
bookBachelor’s Degree, Bachelor’s Degree at South China University of Technology
languagesEnglish, German, Chinese, chinese (modern standard mandarin)
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Github Skills (31)

pytorch10
sem10
python10
data-science10
machine-learning10
deep-learning10
tensorflow10
jax10
neural-network9
representations9
java5
websocket5
websocket-client4
wss3
netty3

Programming languages (4)

JavaShellJupyter NotebookPython

Github contributions (5)

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tony-hong/tapm

Aug 2021 - Apr 2024

Contributions:2 PRs, 2 pushes in 2 years 8 months
*SEM 2018: Learning Distributed Event Representations with a Multi-Task Approach
Contributions:21 commits, 21 pushes, 4 branches in 5 months
multi-taskdistributed-learningrepresentationsapproachsem
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Xudong Hong - Doctoral Student at Universität des Saarlandes