Xueqin Chen
Associate Research Fellow
Leiden, South Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolXueqin Chen is an associate research fellow and PhD-trained computer scientist with eight years of experience specializing in information cascade modeling, graph representation learning, and fake news detection. She transitioned from a postdoctoral role at TU Delft—where she applied AI to sustainable water management—to her current research position at Sichuan University, bridging environmental and social applications of AI. Based in Leiden, she combines deep theoretical grounding with applied projects that address misinformation and complex network dynamics. Her work reflects a cross-cultural academic trajectory through Leiden University and the University of Electronic Science and Technology of China, enabling collaborations across Europe and China. Beyond publications, she maintains a personal website showcasing her research portfolio and code, signaling an emphasis on reproducibility and open science. An underappreciated strength is her ability to translate graph learning methods into domain-specific interventions, from hydrology-informed AI to robust fake-news detection.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Leiden UniversityDoctor of Philosophy - PhD, Computer Software Engineering, Doctor of Philosophy - PhD, Computer Software Engineering at University of Electronic Science and Technology of China
Github Skills (9)
convolution9
deep-learning4
graph4
classification4
python4
recurrent-neural-networks3
traffic3
asynchronous1
optical-flow1
Programming languages (2)
Github contributions (5)
ChenNed/ChenNed.github.io
Sep 2020 - Jul 2026
Contributions:151 pushes, 3 branches in 5 years 10 months
ChenNed/MUCas
Sep 2020 - May 2022
Contributions:14 commits, 12 pushes, 1 branch in 1 year 8 months
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