Shiguang Wu
Student Intern at 视频号（WeChat）
Netherlands
Summary
👤
Senior🎓
Top SchoolShiguang Wu is a M.Sc. student and research-focused intern with nine years of software experience, currently working on generative retrieval models (differentiable search indices) at WeChat’s 视频号 in the Netherlands. He studies and implements neural retrieval systems with a particular interest in their mechanistic and theoretical underpinnings, bridging hands-on model development and formal analysis. Trained at Shandong University in computer science, he brings both academic rigor and practical engineering discipline to retrieval research. Notably, he combines experience across industry and research settings, positioning him to translate theoretical insights about neural retrieval into scalable, production-ready retrieval features.
9 years of coding experience
Master's degree, Computer Science, Master's degree, Computer Science at Shandong University
Github Skills (40)
collaborative-filtering10
recommender10
recommendation-system9
large-language-models9
prompt-tuning9
natural-language-processing9
recommender-system9
ranking9
survey9
nlp9
react8
computer-science8
science8
knowledge-graph8
deep-learning8
Programming languages (6)
Github contributions (5)
Furyton/awesome-language-model-analysis
May 2024 - Jul 2026
This paper list focuses on the theoretical and empirical analysis of language models, especially large language models (LLMs). The papers in this list investigate the learning behavior, generalization ability, and other properties of language models through theoretical analysis, empirical analysis, or a combination of both.
Contributions:29 PRs, 47 pushes, 29 branches in 2 years 2 months
language-modellarge-language-modelsanalyticsllmtransformers
Furyton/Furyton.github.io
Feb 2023 - Mar 2023
Contributions:5 commits, 180 pushes, 8 branches in 27 days
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