Xinjiang Li
Digital Marketing Strategist
Beijing, China
Summary
👤
Senior🎓
Top SchoolXinjiang Li is a Beijing-based digital marketing strategist with 10 years of experience blending data-driven growth, brand partnerships, and content strategy across tech and entertainment. Currently at Google after leading integrated social and global marketing programs at iQIYI and Universal Music Publishing China, he has built multi-channel operations from scratch, managed millions of followers, and driven campaigns that reached million-plus listens and viewership. Xinjiang pairs creative instincts—evident in his photography portfolio—with technical fluency, contributing ML and backend code (including a VMR-GAE OD matrix model) to the PaddleSpatial open-source project at Baidu. Comfortable across PR, live events, influencer ecosystems and product teams, he leverages cross-sector partnerships (brands, DSPs, labels) to scale engagement and monetization. His background in TV production and a master’s in corporate communications underpin a rare mix of storytelling, operational rigor, and applied machine learning interest.
9 years of coding experience
2 years of employment as a software developer
Master's degree, Business/Corporate Communications, Master's degree, Business/Corporate Communications at Northeastern UniversityBachelor of Science - BS, Tv Production & Media Management, Bachelor of Science - BS, Tv Production & Media Management at Drexel University's Westphal College of Media Arts & Design
Github Skills (10)
neural-network10
model-building10
paddlepaddle10
machine-learning10
recurrent-neural-networks10
deep-learning10
python10
modeling10
model-driven10
model-driven-development10
Programming languages (2)
Github contributions (5)
PaddlePaddle/PaddleSpatial
Nov 2021 - Jan 2023
PaddleSpatial is an open-source spatial-temporal computing tool based on PaddlePaddle.
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:76 commits, 3 PRs, 78 pushes in 1 year 2 months
Contributions summary:Xinjiang initiated the VMR-GAE model within the `paddlespatial` repository, suggesting involvement in the core functionality of this spatial-temporal computing tool. Their primary focus was on implementing the VMR-GAE model, which is designed for OD matrix completion. The user's code contributions included defining the model architecture, incorporating GCN and GRU layers, and establishing the forward pass logic.
information-theorypaddlepaddlespatialspatial-temporaltemporal-computing
ramber1836/TASD
Oct 2022 - Feb 2023
Contributions:6 commits, 2 PRs, 5 pushes in 3 months
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