Shiguang Wu
Student Intern at 视频号（WeChat）
Qingdao, Shandong, China
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 (35)
collaborative-filtering10
ranking10
recommender10
react9
science9
computer-science9
nlp8
knowledge-graph8
recommender-system8
prompt-tuning8
survey8
recommendation-system8
pytorch7
machine-learning7
information-retrieval7
Programming languages (6)
Github contributions (5)
Furyton/MentorNet_pytorch
Jul 2021 - Apr 2022
Contributions:19 commits, 13 pushes, 1 branch in 9 months
Furyton/Recommender-Baseline-Model
Mar 2021 - Dec 2021
Contributions:62 commits, 55 pushes, 2 branches in 8 months
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