Yuting Wu
Researcher PHD Student at 北京大学
Haidian District, Beijing, China
Summary
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Senior🎓
Top SchoolYuting Wu is a Ph.D. researcher in Natural Language Processing at Peking University with nine years of experience focused on knowledge fusion and graph neural networks. Guided by Prof. Dongyan Zhao and Prof. Yansong Feng, she develops methods in knowledge graph embedding, entity alignment, and entity linking with an eye toward practical research applications. She holds a B.S. in Computer Science from Beijing Jiaotong University and is on track to graduate in July 2022. Actively seeking research internships and open to full-time roles after graduation, she bridges theoretical modeling with implementation-driven experiments. Based in Haidian, Beijing, she brings deep academic training and sustained research momentum that often yields interdisciplinary insights across graphs and language.
9 years of coding experience
Doctor of Philosophy - PhD, Natural Language Processing, Doctor of Philosophy - PhD, Natural Language Processing at 北京大学Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at 北京交通大学
english (ielts band 6.5), Chinese
Github Skills (5)
relation10
entity9
heterogeneous9
datasets8
knowledge-graph6
Programming languages (1)
Github contributions (5)
StephanieWyt/RDGCN
Aug 2019 - Sep 2020
Source code and datasets for IJCAI 2019 paper: Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs.
Contributions:20 commits, 1 PR, 8 pushes in 1 year
heterogeneousknowledgeentityijcaialignment
StephanieWyt/HGCN-JE-JR
Aug 2019 - Jul 2020
Contributions:14 commits, 12 pushes, 2 comments in 10 months
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